@misc{13337,
  abstract     = {{In manufacturing systems with a job shop organization, queues between workstations create an intermittent process flow, allowing workers to schedule tasks entering the queue based on their needs and preferences. The resulting scheduling autonomy of individual workers often leads to inefficiencies in the overall production process due to the loss of control. Companies are therefore increasingly using algorithmic scheduling systems to assign task sequences to workers, thereby drastically reducing their autonomy and negatively affecting their job performance and well-being. This paper extends the existing flexible job shop scheduling problem by sequencing preferences (FJSPSP) to incorporate a human-centered perspective by predicting workers’ task sequencing decisions using learning-to-rank (LTR) methods. By learning workers’ individual task sequencing preferences, it becomes possible to predict the processing sequence based on task characteristics. The scheduling algorithm for the FJSPSP presented in the paper incorporates workers’ learned sequencing preferences as constraints. Considering workers’ learned task sequencing decisions, the FJSPSP optimizes only task assignments to maintain workers’ autonomy over task sequences. The contributions of this paper are fourfold, namely, (1) presenting an approach to elicit sequencing decision datasets from workers, (2) demonstrating the successful prediction of humans’ and an actual worker’s task sequencing decisions with LTR, (3) formulating the FJSPSP variant that integrates workers’ sequencing preferences as constraints and proving its effectiveness in a simulation study, and (4) consolidating these steps into an explainable artificial intelligence (XAI)- and LTR-enabled sociotechnical system design framework. The paper closes with a discussion of the overall methodology and future research perspectives.}},
  author       = {{Herrmann, Jan-Phillip and Tackenberg, Sven and Srirajan, Tharsika Pakeerathan and Nitsch, Verena}},
  booktitle    = {{Journal of Manufacturing Systems}},
  issn         = {{0278-6125}},
  keywords     = {{Human-centered scheduling, Job autonomy, Learning-to-rank, Flexible job shop scheduling, Human decision-making, Explainable artificial intelligence}},
  number       = {{2}},
  pages        = {{541--560}},
  publisher    = {{Elsevier BV}},
  title        = {{{Incorporating scheduling autonomy of workers into flexible job shop scheduling: Learning and balancing decentralized task sequencing decisions with overall scheduling performance}}},
  doi          = {{10.1016/j.jmsy.2025.12.020}},
  volume       = {{84}},
  year         = {{2026}},
}

@misc{13301,
  abstract     = {{Production environments are characterized by an increasingly diverse workforce caused by demographic change, globalization, and the rising demand for inclusion and equality. To ensure employee satisfaction for such a diverse workforce, gamification is a promising method. However, one-size-fits-all approaches are not sufficient, and more user-adaptive and inclusive gamified systems are needed. Therefore, this systematic literature review aims to answer the question of which user-adaptive gamified systems exist for manufacturing and how they provide inclusivity for individuals in their everyday work. Following PRISMA guidelines, a search of five electronic databases retrieved 22 relevant articles. Analysis of the literature revealed a lack of user-centered and inclusive gamified systems. Further, limited empirical evaluations in real production environments, limited application scenarios, and the need for more diverse research were identified. Based on the results, this study identifies key research gaps and provides recommendations for future research.}},
  author       = {{Mordaschew, Viktoria and Latos, Benedikt and Rubart, Jessica and Röcker, Carsten}},
  booktitle    = {{International Journal of Human–Computer Interaction}},
  issn         = {{1532-7590}},
  keywords     = {{Gamification, manufacturing, inclusivity : human-centered systems : literature review}},
  pages        = {{1--28}},
  publisher    = {{Taylor & Francis}},
  title        = {{{User-Centered Gamification in Manufacturing: A Systematic Literature Review}}},
  doi          = {{10.1080/10447318.2025.2578390}},
  volume       = {{41}},
  year         = {{2025}},
}

@misc{13349,
  abstract     = {{In weakly-structured work processes, workers are free to decide in which sequence to process their tasks. Predicting their decision-making helps plan production more accurately while preserving workers’ autonomy. The factors that influence workers’ decision-making depend on the manufacturing process and person considered, and they must be newly collected for each use case. This paper identifies the factors influencing workers when deciding in which sequence to process manufacturing tasks in a medium-sized hydraulic cylinder manufacturer. Five workers and two lead workers were observed and interviewed during several work shifts about influencing factors. The authors propose a new interview technique called indifference testing to overcome subjects’ difficulty articulating their decision-making process. Collected factors were categorized using inductive category formation and context analysis. The analyses identified 75 influencing factors comprising 37 decision attributes and 38 decision rules. The identified decision attributes indicate that worker preferences are influenced by attributes from the classical scheduling literature and attributes related to worker well-being, circadian rhythms, and ergonomics. The identified decision rules are useful constituents of more complex preference functions. The decision attributes and rules enable the construction of machine learning models to predict workers’ task sequencing decisions in job shops. Potential applications include systematically eliminating or controlling influencing factors through workplace design measures to increase worker well-being and optimality of their decisions.}},
  author       = {{Herrmann, Jan-Phillip and Tackenberg, Sven and Burgert, Florens and Nitsch, Verena}},
  booktitle    = {{Procedia Computer Science}},
  issn         = {{1877-0509}},
  keywords     = {{Task Sequencing, Manufacturing, Learning To Rank, Scheduling Human Factors, Case Study}},
  pages        = {{1820--1829}},
  publisher    = {{Elsevier BV}},
  title        = {{{Influencing factors on worker task sequencing decisions in a medium-sized hydraulic cylinder manufacturer}}},
  doi          = {{10.1016/j.procs.2025.01.244}},
  volume       = {{253}},
  year         = {{2025}},
}

@misc{12719,
  abstract     = {{A human digital twin (HDT) is a virtual representation of a worker in cyberspace. Nevertheless, current research focusses mainly on HDTs for motoric work types, such as assembly. To fully integrate an HDT for workers in production, it is necessary that an HDT also displays cognitive processes like memorizing, thinking or reasoning. Such a concept can be used in information-based work, for example monitoring highly automated production systems, and contribute to the planning and control of production. Due to the high proportion of planning and decision-making processes, the efficiency of information-based work is determined in particular by the inner processes of the worker. An HDT can therefore help to describe current and future states of socio-technical work systems. Therefore, this paper presents a systematic literature review to explicitly derive the relevant components of an HDT for information-based work types. The elements of such an HDT and its environment are defined. Further, the current gaps in literature are identified. There are currently no real-world applications of such an HDT. Additionally, the value of multi-HDT systems must be evaluated more extensively.}},
  author       = {{Mordaschew, Viktoria and Latos, Benedikt and Tackenberg, Sven}},
  booktitle    = {{Procedia Computer Science}},
  issn         = {{1877-0509}},
  keywords     = {{Human-centric Production, Digital Twin, Systematic Literature Review}},
  pages        = {{2137--2146}},
  publisher    = {{Elsevier}},
  title        = {{{A Human Digital Twin for Worker-Centric Production}}},
  doi          = {{https://doi.org/10.1016/j.procs.2025.01.274}},
  volume       = {{253}},
  year         = {{2025}},
}

@misc{11808,
  abstract     = {{The application of hydrogen for energy storage and as a vehicle fuel necessitates efficient and effective storage technologies. In addition to traditional cryogenic and high-pressure tanks, an alternative approach involves utilizing porous materials such as activated carbons within the storage tank. The adsorption behaviour of hydrogen in porous structures is described using the Dubinin-Astakhov isotherm. To model the flow of hydrogen within the tank, we rely on the equations of mass conservation, the Navier-Stokes equations, and the equation of energy conservation, which are implemented in a computational fluid dynamics code and additional terms account for the amount of hydrogen involved in sorption and the corresponding heat release. While physical models are valuable, data-driven models often offer computational advantages. Based on the data from the physical adsorption model, a data-driven model is derived using various machine learning techniques. This model is then incorporated as source terms in the governing conservation equations, resulting in a novel hybrid formulation which is computationally more efficient. Consequently, a new method is presented to compute the temperature and concentration distribution during the charging and discharging of hydrogen tanks and identifying any limiting phenomena more easily.}},
  author       = {{Klepp, Georg Heinrich}},
  booktitle    = {{Energy : the international journal ; technologies, resources, reserves, demands, impact, conservation, management, policy}},
  issn         = {{1873-6785}},
  keywords     = {{Hydrogen storage, Adsorption, Activated carbon, Machine learning, Simulation, Computational fluid dynamics}},
  publisher    = {{Elsevier BV}},
  title        = {{{Modelling activated carbon hydrogen storage tanks using machine learning models}}},
  doi          = {{10.1016/j.energy.2024.132318}},
  volume       = {{306}},
  year         = {{2024}},
}

@misc{11915,
  abstract     = {{With the human factor being identified as the weakest link in the chain of information security, we investigate the effects of the COVID-19 pandemic on approaches to develop awareness trainings. Following the literature approach of vom Brocke, we identify five focus areas in recent literature which we are able to divide further into supporting effects and human factors for information security awareness trainings. Furthermore, we identify research gaps in current literature which can inspire future investigations.}},
  author       = {{Meister, Robin and Guhr, Nadine}},
  booktitle    = {{Wirtschaftsinformatik 2024 Proceedings}},
  keywords     = {{Information Security, Literature Review, Human Factor, Education, Awareness}},
  location     = {{Würzburg}},
  pages        = {{16}},
  publisher    = {{WI}},
  title        = {{{Recent Insights in Information Security Awareness Training: A Systematic Literature Review }}},
  year         = {{2024}},
}

@misc{12009,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Traditional work models often need more flexibility and time autonomy for employees, especially in manufacturing. Quantitative approaches and Artificial Intelligence (AI) applications offer the potential to improve work design. However, current research does not entirely focus on human-centric criteria that enable time autonomy. This paper addresses this gap by developing a set of criteria to evaluate intelligent personnel planning approaches based on their ability to enhance time autonomy for employees. Existing quantitative approaches are not sufficient to fully integrate the developed criteria.</jats:p><jats:p>Consequently, a novel model approach is proposed in an attempt to bridge the gap between current practices and the newly developed criteria. This two-stage planning approach fosters democratization of time autonomy on the shopfloor, moving beyond traditional top-down scheduling. The paper concludes by outlining the implementation process and discusses future developments with respect to AI for this model approach.</jats:p><jats:p><jats:italic>Practical Relevance</jats:italic>: In order to make working conditions on the shopfloor in high-wage countries more attractive, an alternative organization of shift work is needed. Intelligent planning approaches that combine traditional operations research methods with artificial intelligence approaches can democratize shift organization regarding time autonomy. Planning that takes both employee and employer preferences into account in a balanced way will strengthen the long-term competitiveness of manufacturing companies in high-wage countries and counteract the shortage of skilled labor.</jats:p>}},
  author       = {{Latos, Benedikt and Buckhorst, Armin and Kalantar, Peyman and Bentler, Dominik and Gabriel, Stefan and Dumitrescu, Roman and Minge, Michael and Steinmann, Barbara and Guhr, Nadine}},
  booktitle    = {{Zeitschrift für Arbeitswissenschaft}},
  issn         = {{2366-4681}},
  keywords     = {{Personnel Planning, Time Autonomy, Human-Centric Optimization, Artificial Intelligence, Manufacturing}},
  number       = {{3}},
  pages        = {{277--298}},
  publisher    = {{Springer-Verlag GmbH}},
  title        = {{{Time autonomy in personnel planning: Requirements and solution approaches in the context of intelligent scheduling from a holistic organizational perspective }}},
  doi          = {{10.1007/s41449-024-00432-7}},
  volume       = {{78}},
  year         = {{2024}},
}

@misc{12021,
  author       = {{Segermann, Jan and Luttmann, Mario and Blome, André and Feldt, Sebastian and Sivanesan, Sujee and Holst, Christoph-Alexander and Lohweg, Volker and Frahm, Björn and Müller, Ulrich}},
  keywords     = {{sourdough, fermentation, near-infrared spectroscopy, support vector machine}},
  location     = {{Lemgo}},
  title        = {{{Die Rolle von ML-Modellen in der Lebensmitteltechnologie: Eine Fallstudie zur Sauerteigfermentation mit NIR-Spektroskopie}}},
  year         = {{2024}},
}

@misc{12167,
  abstract     = {{Deployment of Level 3 and Level 4 autonomous vehicles (AVs) in urban environments is significantly constrained by adverse weather conditions, limiting their operation to clear weather due to safety concerns. Ensuring that AVs remain within their designated Operational Design Domain (ODD) is a formidable challenge, making boundary monitoring strategies essential for safe navigation. This study explores the critical role of an ODD monitoring system (OMS) in addressing these challenges. It reviews various methodologies for designing an OMS and presents a comprehensive visualization framework incorporating trigger points for ODD exits. These trigger points serve as essential references for effective OMS design. The study also delves into a specific use case concerning ODD exits: the reduction in road friction due to adverse weather conditions. It emphasizes the importance of contactless computer vision-based methods for road condition estimation (RCE), particularly using vision sensors such as cameras. The study details a timeline of methods involving classical machine learning and deep learning feature extraction techniques, identifying contemporary challenges such as class imbalance, lack of comprehensive datasets, annotation methods, and the scarcity of generalization techniques. Furthermore, it provides a factual comparison of two state-of-the-art RCE datasets. In essence, the study aims to address and explore ODD exits due to weather-induced road conditions, decoding the practical solutions and directions for future research in the realm of AVs.}},
  author       = {{Subramanian, Ramakrishnan and Büker, Ulrich}},
  booktitle    = {{Eng : advances in engineering}},
  issn         = {{2673-4117}},
  keywords     = {{autonomous vehicles, operational design domain, computer vision, machine learning, road surface detection}},
  number       = {{4}},
  pages        = {{2778--2804}},
  publisher    = {{MDPI AG}},
  title        = {{{Study of Contactless Computer Vision-Based Road Condition Estimation Methods Within the Framework of an Operational Design Domain Monitoring System}}},
  doi          = {{10.3390/eng5040145}},
  volume       = {{5}},
  year         = {{2024}},
}

@misc{12213,
  abstract     = {{Within freshwater networks, lakes and reservoirs are reactors that modify nutrient dynamics. Their functioning is based on an interplay of hydrological and biogeochemical processes, rendering them vulnerable to climate change. Future changes in catchment characteristics are likely to alter the timing and magnitude of nutrient concentrations in discharge. This study investigated the impact of changing variability of nutrient concentrations on lake and reservoir dynamics. We examined intraannual nutrient retention and analyzed the role of reservoirs in reconfiguring the variability of nutrients. Utilizing the 1D lake model GOTM-WET, we simulated nutrient processing in a mesotrophic reservoir. Further, we performed scenario simulations by modifying the variability of inflow nitrogen and phosphorus concentrations. Our findings indicate that the reservoir removed ∼4% and ∼12% of total nitrogen (TN) and total phosphorus (TP), respectively. Particulate fractions were retained efficiently, but there was a net export of dissolved organic fractions. Regarding mixing and stratification periods, however, we observed net nitrogen export during stratification in certain years. During stratification, outflow concentration variability remained relatively unchanged for TN and TP compared to inflow concentrations. Conversely, phosphate and nitrate concentration variability increased in the outflow because of in-lake assimilation and the influence of hydrological events. With increasing inflow concentration variability during stratification, there was decreased removal of TN and TP by the reservoir, but increased variability of concentration. By evaluating the lake's capacity to attenuate variability of nutrient inflows under altered conditions, there are opportunities to improve monitoring of nutrient export and evaluate the potential impact of nutrient peaks on downstream drinking water resources and ecosystems.}},
  author       = {{Determann, Maria and Musolff, Andreas and Frassl, Marieke A. and Rinke, Karsten and Shatwell, Tom}},
  booktitle    = {{Inland waters : journal of the International Society of Limnology}},
  issn         = {{2044-205X}},
  keywords     = {{catchment–lake interaction, concentration variability, GOTM-WET, lake nutrient export, reservoir biogeochemistry}},
  number       = {{4}},
  pages        = {{560--575}},
  publisher    = {{Freshwater Biological Association}},
  title        = {{{Nutrient retention in a small reservoir under changed variability of inflow nutrient concentration}}},
  doi          = {{10.1080/20442041.2024.2305105}},
  volume       = {{13}},
  year         = {{2024}},
}

@misc{12795,
  abstract     = {{Including disabled workers in value-creating work processes is a fundamental and guaranteed human right and is, therefore, an essential goal of society. In Germany, sheltered workshops create the conditions for this inclusion since they are essential to companies' value chains. A central challenge is the inclusion of disabled workers in the value-creation processes, such as in manufacturing or assembly areas. The skills of disabled workers vary since they have individual impairments. Therefore, this paper presents a digital human model, a Human Digital Twin (HDT), for disabled workers. The model maps their skills and supports the production planning and assembly processes. (C) 2024 The Authors. Published by Elsevier B.V.}},
  author       = {{Mordaschew, Viktoria and Duckwitz, Sönke and Tackenberg, Sven}},
  booktitle    = {{5th International Conference on Industry 4.0 and Smart Manufacturing (ISM)}},
  editor       = {{Longo, F. and Shen, W. and Padovano, A.}},
  issn         = {{1877-0509}},
  keywords     = {{Human Digital Twin, Industry 4.0, Sheltered Workshops, Production Planning}},
  location     = {{Lisbon, PORTUGAL}},
  pages        = {{745--751}},
  publisher    = {{Elsevier BV}},
  title        = {{{A Human Digital Twin of Disabled Workers for Production Planning}}},
  doi          = {{10.1016/j.procs.2024.01.074}},
  volume       = {{232}},
  year         = {{2024}},
}

@misc{13003,
  abstract     = {{In light of the rising importance of data transparency and open data guidelines (e.g. OGP Local1), Open Data Portals became standard in Smart City strategies (Van Oosterhout et al. 2020). While it is clear that these tools can serve as a valuable way for internal administration processes, at the same time it is critical that data is not only openly available following standard formats limited to computer-readability but above all also largely understandable for average citizens. For this reason, it is researched how open data can not only be made available but also visualized in an accessible way to all citizens. Moreover, the aim is to simultaneously boost private behavior changes which are inevitable to achieve locally-set goals in sustainability (Barr et al. 2011, TWI 2050 2018). To do so, we draw on the principle of nudging. Following
the tradition of behavioral economics, nudging is defined as a positive intervention that induces a voluntary change in behavior without resulting in external (negative) consequences (Thaler & Sunstein 2008) and thus contrasting interventions like commands or bans because freedom of choice is maintained (Mongin & Cozic 2020, Ranchordás 2020).
This paper discusses an installation that explored the potential of combining nudging and situated visualization to improve data transparency and support individual decision-making in urban public spaces. During the Detmold Design Week 2023, an event showcasing creative works in various locations, the visitor numbers at nine locations were captured using computer vision. Visitors then received on-site suggestions in real-time for the next place to visit based on the occupancy. A survey was conducted to evaluate visitors’ willingness to follow these data-informed suggestions. Findings highlight the importance of balancing between simplicity, relevance and privacy in data visualization. The results of the field test provide the foundation for the installation of interactive interfaces in Detmold's public spaces in the next years, in particular for communicating smart city topics focusing on mobility and urban climate protection.}},
  author       = {{Licht, Mareile and Barbosa Jardim, Amanda and Müh, Maximilian and Häusler, Axel}},
  booktitle    = {{Keep on Planning for the Real World. Climate Change calls for Nature-based Solutions and Smart Technologies : Proceedings of REAL CORP 2024, 29th International Conference on Urban Development, Regional Planning and Information Society }},
  editor       = {{Schrenk, Manfred and Popovich, Tatiana and Zeile,  Peter and Elisei, Pietro and Beyer, Clemens and Ryser, Judith and Kaufmann, Hans Rüdiger}},
  issn         = {{2521-3938}},
  keywords     = {{Situated Visualisation, Nudging, Planning, Computer Vision, Human-computer interaction}},
  location     = {{Mannheim}},
  pages        = {{645--653}},
  publisher    = {{CORP - Competence Center of Urban and Regional Planning }},
  title        = {{{The Use of Situated Visualized Data to Nudge Visitor’s Paths: a Case Study at the Detmold Design Week 2023}}},
  doi          = {{10.48494/REALCORP2024.9052}},
  year         = {{2024}},
}

@misc{11445,
  abstract     = {{Predicting human decisions is a central challenge for planning and controlling production with weakly structured processes. Thus, workers’ decisions regarding the processing strategies and the temporal sequence of tasks to be processed are to be determined prospectively. Accordingly, there is a need to review methods for preference elicitation to develop individual predictive decision models. This paper presents a systematic literature review and discussion of 42 publications on predictive decision models and decision attributes. Methods for eliciting decision-making knowledge from manufacturing workers as part of the modeling process and decision model validation methods are reviewed and discussed in light of their predictive validity for individual task selection. The article synthesizes the recent literature for predicting human decision-making in manufacturing using artificial intelligence methods. Along with the review results, a future research agenda is proposed for modeling and simulating human decision-making in manufacturing. Knowledge about human preferences and the successful prediction of workers’ decision-making in manufacturing helps companies predict manufacturing objectives and derive organizational and work design measures.}},
  author       = {{Herrmann, Jan-Phillip and Tackenberg, Sven and Nitsch, Verena}},
  booktitle    = {{IEEE Access}},
  issn         = {{2169-3536}},
  keywords     = {{Artificial intelligence, assistance system, human decision-making, manufacturing}},
  pages        = {{141172--141191}},
  publisher    = {{IEEE}},
  title        = {{{Predicting Human Decision-Making for Task Selection in Manufacturing: A Systematic Literature Review}}},
  doi          = {{10.1109/access.2023.3340626}},
  volume       = {{11}},
  year         = {{2023}},
}

@misc{9358,
  abstract     = {{Real-time human-centered assistance in industrial processes depends on the individual history of the work person’s activities in the work system and requires adequate methods for tracking the person’s actions. Most research in human activity recognition is based on recognizing actions from video data using computer vision methods. Digital equipment, standardized machine data interfaces, and smart wearable devices extend the possibilities to describe the current state of the work system. Petri nets have already been applied to human activity recognition, however, without the requirement of detecting actions in real-time. This paper proposes a Petri net architecture that enables hierarchical description-based human activity recognition in industrial work processes. We present an extension, a Partitioned Colored Petri Net, based on the colored Petri net formalism that infers activities from state transitions of the work system in real-time. In a case study, we demonstrate the Petri net’s application for an error-based learning system that visualizes error consequences in augmented reality using experimentable digital twins.}},
  author       = {{Herrmann, Jan-Phillip and Atanasyan, Alexander and Casser, Felix and Tackenberg, Sven}},
  booktitle    = {{Procedia Computer Science}},
  issn         = {{1877-0509}},
  keywords     = {{Colored Petri net, Human-centered Assistance, Experimentable Digital Twins}},
  location     = {{Österreich}},
  pages        = {{1188--199}},
  publisher    = {{Elsevier}},
  title        = {{{A Petri Net Architecture for Real-Time Human Activity Recognition in Work Systems}}},
  doi          = {{https://doi.org/10.1016/j.procs.2022.12.317}},
  volume       = {{217}},
  year         = {{2023}},
}

@misc{10216,
  abstract     = {{Wet granulation is a frequent process in the pharmaceutical industry. As a starting point for numerous dosage forms, the quality of the granulation not only affects subsequent production steps but also impacts the quality of the final product. It is thus crucial and economical to monitor this operation thoroughly. Here, we report on identifying different phases of a granulation process using a machine learning approach. The phases reflect the water content which, in turn, influences the processability and quality of the granule mass. We used two kinds of microphones and an acceleration sensor to capture acoustic emissions and vibrations. We trained convolutional neural networks (CNNs) to classify the different phases using transformed sound recordings as the input. We achieved a classification accuracy of up to 90% using vibrational data and an accuracy of up to 97% using the audible microphone data. Our results indicate the suitability of using audible sound and machine learning to monitor pharmaceutical processes. Moreover, since recording acoustic emissions is contactless, it readily complies with legal regulations and presents Good Manufacturing Practices.}},
  author       = {{Fulek, Ruwen and Ramm, Selina and Kiera, Christian and Pein-Hackelbusch, Miriam and Odefey, Ulrich}},
  booktitle    = {{Pharmaceutics}},
  issn         = {{1999-4923 }},
  keywords     = {{wet granulation, acoustic classification, machine learning, convolutional neural networks}},
  number       = {{8}},
  publisher    = {{MDPI}},
  title        = {{{A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions}}},
  doi          = {{https://doi.org/10.3390/pharmaceutics15082153}},
  volume       = {{15}},
  year         = {{2023}},
}

@misc{12785,
  abstract     = {{Due to the demographic aging of society, the demand for skilled caregiving is increasing. However, the already existing shortage of professional caregivers will exacerbate in the future. As a result, family caregivers must shoulder a heavier share of the care burden. To ease the burden and promote a better work-life balance, we developed the Digital Case Manager. This tool uses machine learning algorithms to learn the relationship between a care situation and the next care steps and helps family caregivers balance their professional and private lives so that they are able to continue caring for their family members without sacrificing their own jobs and personal ambitions. The data for the machine learning model are generated by means of a questionnaire based on professional assessment instruments. We implemented a proof-of-concept of the Digital Case Manager and initial tests show promising results. It offers a quick and easy-to-use tool for family caregivers in the early stages of a care situation.}},
  author       = {{Wunderlich, Paul and Wiegräbe, Frauke and Dörksen, Helene}},
  booktitle    = {{INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH}},
  issn         = {{1660-4601}},
  keywords     = {{machine learning, healthcare, case management, caring, multi-label classification}},
  number       = {{2}},
  publisher    = {{MDPI}},
  title        = {{{Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance}}},
  doi          = {{10.3390/ijerph20021215}},
  volume       = {{20}},
  year         = {{2023}},
}

@misc{12806,
  abstract     = {{Cyber-Physical Systems (CPS) play an essential role in today’s production processes, leveraging Artificial Intelligence (AI) to enhance operations such as optimization, anomaly detection, and predictive maintenance. This article reviews a cognitive architecture for Artificial Intelligence, which has been developed to establish a standard framework for integrating AI solutions into existing production processes. Given that machines in these processes continuously generate large streams of data, Online Machine Learning (OML) is identified as a crucial extension to the existing architecture. To substantiate this claim, real-world experiments using a slitting machine are conducted, to compare the performance of OML to traditional Batch Machine Learning. The assessment of contemporary OML algorithms using a real production system is a fundamental innovation in this research. The evaluations clearly indicate that OML adds significant value to CPS, and it is strongly recommended as an extension of related architectures, such as the cognitive architecture for AI discussed in this article. Additionally, surrogate-model-based optimization is employed, to determine the optimal hyperparameter settings for the corresponding OML algorithms, aiming to achieve peak performance in their respective tasks.}},
  author       = {{Hinterleitner, Alexander and Schulz, Richard and Hans, Lukas and Subbotin, Aleksandr and Barthel, Nils and Pütz, Noah and Rosellen, Martin and Bartz-Beielstein, Thomas and Geng, Christoph and Priss, Phillip}},
  booktitle    = {{  Applied Sciences : open access journal}},
  issn         = {{2076-3417}},
  keywords     = {{machine learning, online algorithms, cyber-physical production systems, surrogate-based optimization}},
  number       = {{20}},
  publisher    = {{MDPI AG}},
  title        = {{{Online Machine Learning and Surrogate-Model-Based Optimization for Improved Production Processes Using a Cognitive Architecture}}},
  doi          = {{10.3390/app132011506}},
  volume       = {{13}},
  year         = {{2023}},
}

@misc{12994,
  abstract     = {{HUMAN 2023 is the 6th workshop of a series for the ACM Hypertext conferences. The HUMAN workshop has a strong focus on the user and thus is complementary to the strong machine analytics research direction that could be experienced in previous conferences.The user-centric view on hypertext not only includes user interfaces and interaction, but also discussions about hypertext application domains as well as human-centered AI. Furthermore, the workshop raises the question of how original hypertext ideas (e. g., Doug Engelbart’s "augmenting human intellect" [7] or Jeff Conklin’s "hypertext as a computer-based medium for thinking and communication" [6]) can improve today’s hypertext systems.}},
  author       = {{Rubart, Jessica and Atzenbeck, Claus}},
  booktitle    = {{Proceedings of the 34th ACM Conference on Hypertext and Social Media}},
  isbn         = {{979-8-4007-0232-7}},
  keywords     = {{user interfaces, information structuring, decision making, human-centered AI, cognitive aspects, scientific community, digital humanities, user interaction, human factors, user-centric, annotation, adaptive hypertext, hypermedia, collaboration, information systems, augmentation, hypertext, communication, intercultural aspects}},
  location     = {{Rome, Italy}},
  publisher    = {{ACM}},
  title        = {{{HUMAN’23: 6th Workshop on Human Factors in Hypertext}}},
  doi          = {{10.1145/3603163.3610576}},
  year         = {{2023}},
}

@misc{9162,
  abstract     = {{The German manufacturing industry has been carrying out new developments towards the next industrial revolution, focusing on smart manufacturing environments. Our work emphasizes human-centered control rooms in the context of production plants. Increased automation does not have to come with less human control. Therefore, we report on multimodal collaborative interaction techniques to augment industrial control rooms. In particular, we include mobile workers who use the control room while being in the production hall using tablets or specifically mixed reality glasses. Collaborative annotation dashboards support discussions and a shared understanding among analysts. Manufacturing-related data can be integrated into business analytics environments so that holistic analyses can be performed. Multimodal interaction techniques can support effective interaction with the control room based on the users’ preferences. Immersive experience through mixed reality-based three-dimensional visualizations and interaction possibilities support users in obtaining a clear understanding of the underlying data.}},
  author       = {{Rubart, Jessica and Grimm, Valentin and Potthast, Jonas}},
  booktitle    = {{Journal Future Internet}},
  issn         = {{1999-5903 }},
  keywords     = {{control room, multimodel interaction, augmented reality, mixed reality}},
  number       = {{8}},
  pages        = {{1--18}},
  publisher    = {{MDPI}},
  title        = {{{Augmenting Industrial Control Rooms with Multimodal Collaborative Interaction Techniques}}},
  doi          = {{https://doi.org/10.3390/fi14080224}},
  volume       = {{14}},
  year         = {{2022}},
}

@article{10645,
  abstract     = {{Artificial Intelligence (AI)-based applications promise great potential benefits for companies. However, an isolated consideration of the technical system is not sufficient for the design. Rather, it is necessary to design the entire work system taking into account the socio-technical system approach. This enables the combination of the strengths of people and intelligent systems. This paper presents an approach for a socio-technical requirements elicitation in the design of AI-based systems by adapting the HTO-analysis. First, a mission statement is developed. Based on a detailed process modelling, existing data and systems are recorded. In addition, all relevant stakeholder groups are included by conducting interviews and surveys. Thus, the procedure enables the derivation of a comprehensive catalogue of requirements. The application of the approach is illustrated by using an example from industrial practice, the design of an intelligent workforce planning system.}},
  author       = {{Gabriel, Stefan and Bentler, Dominik and Grote, Eva-Maria and Junker, Caroline and Wendischhoff, David Meyer zu and Bansmann, Michael and Latos, Benedikt and Hobscheidt, Daniela and Kühn, Arno and Dumitrescu, Roman}},
  issn         = {{2212-8271}},
  journal      = {{Procedia CIRP}},
  keywords     = {{socio-technial design socio-technial design, requirements elicitation, AI-human-collaboration, work design : workforce planning requirements elicitation AI-human-collaboration work design workforce planning}},
  pages        = {{431--436}},
  publisher    = {{Elsevier BV}},
  title        = {{{Requirements analysis for an intelligent workforce planning system: a socio-technical approach to design AI-based systems}}},
  doi          = {{10.1016/j.procir.2022.05.274}},
  volume       = {{109}},
  year         = {{2022}},
}

@misc{12810,
  abstract     = {{Recent studies on assistance systems show that adaptive support for users is becoming increasingly important, as this is a promising approach to ensure acceptance, learning support, and appropriate assistance in the long term. Developers of assistance systems are therefore faced with the challenge of designing various dimensions of adaptivity in such a way that they are conducive to acceptance and support. In this paper, we consider the different dimensions and options for the adaptation of assembly assistance and present the results of a first survey to investigate users' expectations regarding the adaptability of assembly assistance systems. Our evaluation shows that users have clear preferences concerning the control over adaptation and adaptation goals, while other aspects of adaptation assistance do not indicate a clear tendency. The results of this survey should serve as a decision support in the design phase of adaptive assistance systems to choose between different implementation options and concepts.}},
  author       = {{Heinz-Jakobs, Mario and Oestreich, Hendrik and Wrede, Sebastian and Röcker, Carsten}},
  booktitle    = {{2022 15th International Conference on Human System Interaction (HSI)}},
  editor       = {{De Silva, Daswin and Ruminski , Jacek  and Manic, Milos }},
  issn         = {{978-1-6654-6823-7}},
  keywords     = {{adaptivity, assistance systems, survey, human-centred design, interaction design, self-adaptive systems}},
  location     = {{Melbourne, AUSTRALIA}},
  publisher    = {{IEEE}},
  title        = {{{User Expectations Regarding Design Dimensions of Adapative Assistance Systems}}},
  doi          = {{10.1109/hsi55341.2022.9869509}},
  year         = {{2022}},
}

@article{6689,
  abstract     = {{Free amino nitrogen (FAN) concentrations in beer mash can be determined with machine learning algorithms
from near-infrared (NIR) spectra. NIR spectroscopy is an alternative to a classical chemical analysis and
allows for the application of inline process quality control. This study investigates the capabilities of
different machine learning techniques such as Ordinary Least Squares (OLS) regression, Decision Tree
Regressor (DTR), Bayesian Ridge Regression (BRR), Ridge Regression (RR), K-nearest neighbours (KNN)
regression as well as Support Vector Regression (SVR) to predict the FAN content in beer mash from NIR
spectra. Various pre-processing strategies such as principal component analysis (PCA) and data
standardization were used to process NIR data that were used to train the machine learning algorithms.
Algorithm training was conducted with NIR data obtained from 16 beer mashes with varying FAN
concentrations. The trained models were then validated with 4 beer mashes that were not used for model
training. Machine learning algorithms based on linear regression showed the highest prediction accuracy on
unpre-processed data. BRR reached a root mean square error of calibration (RMSEC) of 2.58 mg/L (R2 = 0.96)
and a prediction accuracy (RMSEP) of 2.81 mg/L (R2 = 0.96). The FAN concentration range of the investigated
samples was between approx. 180 and 220 mg/L. Machine learning based NIR spectra analysis is an alternative
to classical chemical FAN level determination methods and can also be used as inline sensor system.}},
  author       = {{Wefing, Patrick and Conradi, Florian and Rämisch, Johannes and Neubauer, Peter and Schneider, Jan}},
  issn         = {{0723-1520}},
  journal      = {{Brewing science }},
  keywords     = {{mashing, NIR, machine learning, FAN}},
  number       = {{9/10}},
  pages        = {{107 -- 121}},
  publisher    = {{Carl}},
  title        = {{{Determination of free amino nitrogen in beer mash with an inline NIR transflectance probe and data evaluation by machine learning algorithms}}},
  doi          = {{https://doi.org/10.23763/BrSc21-10wefing}},
  volume       = {{74}},
  year         = {{2021}},
}

@misc{6885,
  abstract     = {{Seit 2016 erscheint das urbanLab Magazin jährlich als Fachzeitschrift für Stadt- und Quartiersplanung mit dem Anspruch Forschung, Lehre und der Praxis in den Planungsdisziplinen des Spannungsfeldes Stadt und Quartier anhand konkreter Themencluster besser zu vernetzen. Wir geben zukunftsweisenden Ideen, Fachbeiträgen, Publikationen und kontroversen Diskussionen eine Plattform und bringen sie unterstützt durch Erkenntnisse aus unserer Forschung auf den Punkt. }},
  booktitle    = {{The Human Habitat in Times of TRANSFORMATION}},
  editor       = {{Hall, Oliver and Cardinali, Marcel and Dorf, Johanna Julia}},
  issn         = {{2566-8900}},
  keywords     = {{Regenerative Design, Human Centered Design, Data Driven Design}},
  number       = {{7}},
  publisher    = {{Technische Hochschule Ostwestfalen-Lippe}},
  title        = {{{urbanLab Magazin - Fachzeitschrift für Stadt- & Quartiersplanung}}},
  year         = {{2021}},
}

@misc{8386,
  abstract     = {{The dynamic emulation of mechanical loads is required in a variety of applications to test and validate control algorithms. Typical test setups consist of two mechanically coupled motors, one of which is the Device Under Test (DUT) while the other is used as a load drive for emulation. Existing emulation concepts either rely on the differentiation of velocity feedback or utilize measured quantities of the DUT. The emulation method proposed in this paper uses acceleration feedback to control the torque of the load drive. It does not require any measured quantities of the DUT which allows a simple replacement of the DUT’s motor and/or inverter without the need of any conceptual changes. Based on a physical model, the emulation method is derived analytically and analyzed numerically for the emulation of one-mass-systems. The stability and emulation quality is evaluated considering two controller architectures. Finally, experiments are conducted and compared to numeric simulations to test the correct emulation.}},
  author       = {{Epp, Michael and Griese, Martin and Schulte, Thomas}},
  booktitle    = {{IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society}},
  isbn         = {{978-1-6654-3554-3}},
  issn         = {{2577-1647}},
  keywords     = {{Acceleration feedback, emulation of mechanical loads, motion and servo control, machine and drive testing}},
  location     = {{Toronto, ON, Canada }},
  pages        = {{1--6}},
  publisher    = {{IEEE}},
  title        = {{{Acceleration Feedback Concepts for Dynamic Emulation of Mechanical Loads}}},
  doi          = {{10.1109/IECON48115.2021.9589449}},
  year         = {{2021}},
}

@misc{8434,
  abstract     = {{An open industrial DCgrid for energy supply has many benefits. Also new challenges arise by coupling the DClink capacitors of all devices, e.g. inverters. This paper presents the effects of component failures causing short circuit faults in combination with electrically coupled and charged DClink capacitors. Resulting energy flows are shown, which arise in the DCgrid in case of faults. In addition, measurements of short circuit tests and two solutions are shown, which enable the safe and simple operation of an open industrial DCgrid.}},
  author       = {{Borcherding, Holger and Blank, Frederic and Grünberg, Olaf and Höflsauer, Josef and Puls, Simon}},
  booktitle    = {{2021 23rd European Conference on Power Electronics and Applications (EPE’21 ECCE Europe)}},
  isbn         = {{978-1-6654-3384-6}},
  issn         = {{2325-0313}},
  keywords     = {{DC power supply, Fault handling strategy, Short circuit, Grid-connected inverter, DC machine}},
  location     = {{Virtuell}},
  publisher    = {{IEEE}},
  title        = {{{EFFECTS OF COMPONENT FAILURES IN DRIVE INVERTERS DURING PARALLEL OPERATING ON AN OPEN INDUSTRIAL DC GRID}}},
  doi          = {{10.23919/EPE21ECCEEurope50061.2021.9570706}},
  year         = {{2021}},
}

@article{4897,
  abstract     = {{Assistance is becoming increasingly relevant in carrying out industrial work in the context of cyber-physical production systems (CPPSs) and Industry 4.0. While assistance in a single task via a single interaction modality has been explored previously, crossdevice interaction could improve the quality of assistance, especially given the concurrent and distributed nature of work in CPPSs. In this paper, we present the theoretical foundations and implementation of MiWSICx (Middleware for Work Support in Industrial Contexts), a middleware that showcases how multiple interactive computing devices such as tablets, smartphones, augmented/virtual reality glasses, and wearables could be combined to provide crossdevice industrial assistance. Based on activity theory, MiWSICx models human work as activities combining multiple users, artifacts, and cyber-physical objects. MiWSICx is developed using the actor model for deployment on a variety of hardware alongside a CPPS to provide multiuser, crossdevice, multiactivity assistance.}},
  author       = {{Dhiman, Hitesh and Röcker, Carsten}},
  issn         = {{2288-4300 }},
  journal      = {{Journal of Computational Design and Engineering}},
  keywords     = {{human–technology interaction, human–computer interaction, crossdevice interaction, cyber-physical systems, assistance, smart factory, middleware, actor model, information system design, industry 4.0}},
  number       = {{1}},
  pages        = {{428--451}},
  publisher    = {{Oxford University Press}},
  title        = {{{Middleware for providing activity-driven assistance in cyber-physical production systems}}},
  doi          = {{10.1093/jcde/qwaa088}},
  volume       = {{8}},
  year         = {{2021}},
}

@misc{12228,
  abstract     = {{The Qinghai-Tibet Plateau possesses the largest alpine lake system, which plays a crucial role in the land-atmosphere interaction. We report first observations on the thermal and radiation regime under ice of the largest freshwater lake of the Plateau. The results reveal that freshwater lakes on the Tibetan Plateau fully mix under ice. Due to strong solar heating, water temperatures increase above the maximum density value 1–2 months before the ice break, forming stable thermal stratification with subsurface temperatures >6°C. The resulting heat flow from water to ice makes a crucial contribution to ice cover melt. After the ice breakup, the accumulated heat is released into the atmosphere during 1–2 days, increasing lake-atmosphere heat fluxes up to 500 W m−2. The direct biogeochemical consequences of the deep convective mixing are aeration of the deep lake waters and upward supply of nutrients to the upper photic layer.}},
  author       = {{Kirillin, Georgiy B and Shatwell, Tom and Wen, Lijuan}},
  booktitle    = {{Geophysical Research Letters}},
  issn         = {{1944-8007}},
  keywords     = {{alpine lakes, extreme environments, ake-atmosphere interaction, lake ice, radiatively driven convection, winter limnology}},
  number       = {{14}},
  publisher    = {{Wiley}},
  title        = {{{Ice‐Covered Lakes of Tibetan Plateau as Solar Heat Collectors}}},
  doi          = {{10.1029/2021gl093429}},
  volume       = {{48}},
  year         = {{2021}},
}

@misc{12800,
  abstract     = {{his paper presents the cognitive module of the Cognitive Architecture for Artificial Intelligence (CAAI) in cyber-physical production systems (CPPS). The goal of this architecture is to reduce the implementation effort of artificial intelligence (AI) algorithms in CPPS. Declarative user goals and the provided algorithm-knowledge base allow the dynamic pipeline orchestration and configuration. A big data platform (BDP) instantiates the pipelines and monitors the CPPS performance for further evaluation through the cognitive module. Thus, the cognitive module is able to select feasible and robust configurations for process pipelines in varying use cases. Furthermore, it automatically adapts the models and algorithms based on model quality and resource consumption. The cognitive module also instantiates additional pipelines to evaluate algorithms from different classes on test functions. CAAI relies on well-defined interfaces to enable the integration of additional modules and reduce implementation effort. Finally, an implementation based on Docker, Kubernetes, and Kafka for the virtualization and orchestration of the individual modules and as messaging technology for module communication is used to evaluate a real-world use case.}},
  author       = {{Strohschein, Jan and Fischbach, Andreas and Bunte, Andreas and Faeskorn-Woyke, Heide and Moriz, Natalia and Bartz-Beielstein, Thomas}},
  booktitle    = {{The International Journal of Advanced Manufacturing Technology}},
  issn         = {{1433-3015}},
  keywords     = {{Cognition, Industry 40, Big data platform, Machine learning, CPPS, Optimization, Algorithm selection, Simulation}},
  number       = {{11-12}},
  pages        = {{3513--3532}},
  publisher    = {{Springer }},
  title        = {{{Cognitive capabilities for the CAAI in cyber-physical production systems}}},
  doi          = {{10.1007/s00170-021-07248-3}},
  volume       = {{115}},
  year         = {{2021}},
}

@inbook{6918,
  abstract     = {{Manual assembly is shaped by increasing product complexity with higher scope of work and fluctuating demands. To cope with these changes, employees need to collect and process more information. Companies, therefore, face a wide range of challenges, particularly in terms of information supply. Informational assistance systems provide employees with cognitive support, helping to manage complexity. To evaluate the potentials of such systems a laboratory study is accomplished at the Laboratory for Industrial Engineering of the Ostwestfalen-Lippe University of Applied Sciences and Arts. In this paper, selected results of the laboratory study are presented and recommendations for a configuration of assembly assistance systems are derived from the results.}},
  author       = {{Bendzioch, Sven and Hinrichsen, Sven}},
  booktitle    = {{Advances in Intelligent Systems and Computing}},
  editor       = {{Nunes, I.}},
  isbn         = {{9783030513689}},
  issn         = {{2194-5357}},
  keywords     = {{Informational assistance systems, Manual assembly, Human-machine interaction, Laboratory studies}},
  pages        = {{25--31}},
  publisher    = {{Springer}},
  title        = {{{How to Configure Assembly Assistance Systems – Results of a Laboratory Study}}},
  doi          = {{10.1007/978-3-030-51369-6_4}},
  volume       = {{1207}},
  year         = {{2020}},
}

@inproceedings{4095,
  abstract     = {{Using remote control transmitters is a common way to control a drone. For the future, we envision drones that are intuitively controllable with new input devices. One possibility could be the use of one-hand controllers. Here, we present an exploration of using a 3-D mouse as a controller for human-drone interaction. We ran a pre-study that investigated the users’ natural spatial mapping between controller and drone dimensions. Based on these results we developed our prototype that shows the feasibility of our concept. A series of flight tests were conducted and the mapping between controller and flight movements were iteratively improved. In this paper, we present our development process and the implementation of our prototype.}},
  author       = {{Büttner, Sebastian and Zaitoon, Rami and Heinz, Mario and Röcker, Carsten}},
  booktitle    = {{22nd International Conference on Human-Computer Interaction}},
  isbn         = {{978-3-030-49061-4}},
  keywords     = {{Human-Drone Interaction, Unmanned Aerial Vehicle, 3-D mouse, Spatial mapping, Prototyping}},
  location     = {{Copenhagen, Denmark}},
  pages        = {{ 535--548}},
  publisher    = {{Springer}},
  title        = {{{One-hand Controller for Human-Drone Interaction – a Human-centered Prototype Development}}},
  doi          = {{https://doi.org/10.1007/978-3-030-49062-1_36}},
  volume       = {{12203}},
  year         = {{2020}},
}

@inproceedings{4096,
  abstract     = {{Projection-based assistive systems have shown to be a promising technology to support workers during manual assembly processes in industrial manufacturing by projecting instructions into the working area. While existing studies have investigated various aspects of these systems, little research has been conducted regarding the way in which the user accesses the provided instructions. In this paper we analyze the eye movements of users during the repeated execution of an assembly task at a projection-based assistive system in order to gain insights into the utilization of the presented instructions. For this purpose, we analyzed eye tracking recordings from a user study with 15 participants to investigate the sequences in which the respective instructions are observed by the users. The results show a significantly lower number of nonlinear gaze sequences as well as a significantly higher number of steps without observing the instructions during the repeated use of the assistive system. In addition, there was a significantly lower task completion time during repeated use of the assistive system.}},
  author       = {{Heinz, Mario and Büttner, Sebastian and Röcker, Carsten}},
  booktitle    = {{22nd International Conference on Human-Computer Interaction}},
  isbn         = {{978-3-030-50343-7}},
  keywords     = {{Assistive systems, Eye tracking, Human behavior}},
  location     = {{Copenhagen, Denmark}},
  pages        = {{259--272}},
  publisher    = {{Springer}},
  title        = {{{Exploring Users' Eye Movements When Using Projection-based Assembly Assistive Systems}}},
  doi          = {{https://doi.org/10.1007/978-3-030-50344-4_19}},
  volume       = {{12203}},
  year         = {{2020}},
}

@inproceedings{4097,
  abstract     = {{The capabilities of object detection are well known, but many projects don’t use them, despite potential benefit. Even though the use of object detection algorithms is facilitated through frameworks and publications, a big issue is the creation of the necessary training data. To tackle this issue, this work shows the design and evaluation of a prototype, which allows users to create synthetic datasets for object detection in images. The prototype is evaluated using YOLOv3 as the underlying detector and shows that the generated datasets are equally good in quality as manually created data. This encourages a wide adoption of object detection algorithms in different areas, since image creation and labeling is often the most time consuming step.}},
  author       = {{Besginow, Andreas and Büttner, Sebastian and Röcker, Carsten}},
  booktitle    = {{22nd International Conference on Human-Computer Interaction}},
  isbn         = {{978-3-030-50343-7}},
  keywords     = {{Object detection, Synthetic datasets, Machine learning, Deep learning}},
  location     = {{Copenhagen, Denmark}},
  pages        = {{178--192}},
  publisher    = {{Springer}},
  title        = {{{Making Object Detection Available to Everyone - A Hardware Prototype for Semi-automatic Synthetic Data Generation}}},
  doi          = {{https://doi.org/10.1007/978-3-030-50344-4_14}},
  volume       = {{12203}},
  year         = {{2020}},
}

@inproceedings{1902,
  abstract     = {{The Toyota Production System became well-known in the 90s and stands for highly efficient processes. The success of the production system stems from its methods and its focus on human factors. For some years, production research has focused on the topic of digital manufacturing. This technology-oriented approach is pursued quite independently of the Toyota Production System. As a result, technical solutions may prove incompatible with the Lean philosophy. Therefore, operational practice must link the Lean philosophy with new technologies in order to make work processes and material flows productive and ergonomic simultaneously. As a part of their education in industrial engineering at the Ostwestfalen-Lippe University of Applied Sciences and Arts, students learn all current Lean methods by means of business games. One of these has been supplemented with information technology components. The objective of this article is to introduce this business game and to explain its didactic concept.}},
  author       = {{Adrian, Benjamin and Hinrichsen, Sven and Nikolenko, Alexander and Meyer, Frederic}},
  booktitle    = {{Advances in Human Factors and Systems Interaction}},
  editor       = {{Nunes, Isabel L.}},
  isbn         = {{978-3-030-20039-8}},
  issn         = {{2194-5357}},
  keywords     = {{Lean, Human factors, Digital manufacturing, Business game, Evaluation, Questionnaire}},
  location     = {{Washington D.C., USA}},
  pages        = {{45--55}},
  publisher    = {{Springer}},
  title        = {{{How to Combine Lean, Human Factors and Digital Manufacturing – A Teaching Concept}}},
  doi          = {{https://doi.org/10.1007/978-3-030-20040-4_5}},
  volume       = {{959}},
  year         = {{2020}},
}

@misc{12812,
  abstract     = {{Discerning unexpected from expected data patterns is the key challenge of anomaly detection. Although a multitude of solutions has been applied to this modern Industry 4.0 problem, it remains an open research issue to identify the key characteristics subjacent to an anomaly, sc. generate hypothesis as to why they appear. In recent years, machine learning models have been regarded as universal solution for a wide range of problems. While most of them suffer from non-self-explanatory representations, Gaussian Processes (GPs) deliver interpretable and robust statistical data models, which are able to cope with unreliable, noisy, or partially missing data. Thus, we regard them as a suitable solution for detecting and appropriately representing anomalies and their respective characteristics. In this position paper, we discuss the problem of automatic and interpretable anomaly detection by means of GPs. That is, we elaborate on why GPs are well suited for anomaly detection and what the current challenges are when applying these probabilistic models to large-scale production data.}},
  author       = {{Berns, Fabian and Lange-Hegermann, Markus and Beecks, Christian}},
  booktitle    = {{ Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics IN4PL - Volume 1}},
  editor       = {{Panetto, H. and Madani, K. and Smirnov, A.}},
  isbn         = {{978-989-758-476-3}},
  keywords     = {{Anomaly Detection, Gaussian Processes, Explainable Machine Learning, Industry 4.0}},
  location     = {{Budapest, HUNGARY}},
  pages        = {{87--92}},
  publisher    = {{SCITEPRESS - Science and Technology Publications}},
  title        = {{{Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0}}},
  doi          = {{10.5220/0010130300870092}},
  year         = {{2020}},
}

@inproceedings{1900,
  abstract     = {{More and more complex products are being fitted in small batches in manual assembly. Because of this, more information needs to be collected from employees and implemented in appropriate actions. At the same time, the informational design of assembly systems often shows deficits in operational practice. Manual assembly processes can be made more economical, reliable, and human-oriented with the help of informational assistance systems. Testing was carried out in the Laboratory for Industrial Engineering at the Ostwestfalen-Lippe University of Applied Sciences and Arts to verify this potential. Initial results on the use of augmented reality (AR) glasses in comparison to providing information in a paper-based format are presented.}},
  author       = {{Bendzioch, Sven and Bläsing, Dominic and Hinrichsen, Sven}},
  booktitle    = {{Human Systems Engineering and Design II Proceedings of the 2nd International Conference on Human Systems Engineering and Design (IHSED2019)}},
  editor       = {{Ahram, T. and Karwowski, W. and Pickl, S. and Taiar, R.}},
  isbn         = {{978-3-030-27927-1}},
  keywords     = {{Worker assistance system, Manual assembly, Human-machine interaction, Informational complexity}},
  location     = {{Universität der Bundeswehr, München}},
  pages        = {{20--25}},
  publisher    = {{Springer Nature}},
  title        = {{{Comparison of Different Assembly Assistance Systems Under Ergonomic and Economic Aspects}}},
  doi          = {{https://doi.org/10.1007/978-3-030-27928-8_4}},
  volume       = {{1026}},
  year         = {{2019}},
}

@inproceedings{1901,
  abstract     = {{As customers’ options for configuring products to match their requirements increase, the number of assembly variants grows. Due to this large number of variants, assembly processes often cannot be automated in an economical way, and manual assembly remains highly important. Additional support options must be implemented to continue completing manual assembly processes reliably in the future. Image processing systems are one promising approach. The purpose of this paper is to establish the potential offered by industrial image processing in manual assembly, building on fundamental concepts, as well as to identify requirements and provide recommendations for selecting and arranging system components. }},
  author       = {{Nikolenko, Alexander and Hinrichsen, Sven}},
  booktitle    = {{Human Systems Engineering and Design II. IHSED 2019. Advances in Intelligent Systems and Computing}},
  editor       = {{Ahram, T. and Karwowski, W. and Pickl, S. and Taiar, R.}},
  isbn         = {{978-3-030-27927-1}},
  keywords     = {{Industrial image processing, Manual assembly, Assistance systems, Machine vision}},
  location     = {{Universität der Bundeswehr, München}},
  pages        = {{795--800}},
  publisher    = {{Springer Nature}},
  title        = {{{Potential of Industrial Image Processing in Manual Assembly}}},
  doi          = {{https://doi.org/10.1007/978-3-030-27928-8_121}},
  volume       = {{1026}},
  year         = {{2019}},
}

@misc{12803,
  abstract     = {{The increasing amount of alarms and information for an operator in a modern plant becomes a significant safety risk. Although the notifications are a valuable support, they also lead to the curse of overloading with information for the operator. Due to the huge amount of alarms it is almost impossible to separate the crucial information from the insignificant ones. Therefore, new procedures are required to reduce these alarm floods and support the operator to minimize the safety risk. One approach is based on learning a causal model that represents the relationships between the alarms. This allows alarm sequences that are causally implied to be reduced to the root cause alarm. Fundamental element of this approach is the causal model. Therefore in this work, different probabilistic graphical models are considered and evaluated on the basis of appropriate criteria. A real use case of a bottle filling module serves as a benchmark for how well they are suitable as a causal model for the application in alarm flood reduction.}},
  author       = {{Wunderlich, Paul and Hranisavljevic, Nemanja}},
  booktitle    = {{2019 IEEE 17th International Conference on Industrial Informatics (INDIN)}},
  isbn         = {{978-1-7281-2928-0}},
  keywords     = {{probabilistic graphical model, causal model, alarm flood reduction, Bayesian network, Markov chain, restricted boltzmann machine, automata}},
  location     = {{Helsinki, Finland }},
  pages        = {{1285--1290}},
  publisher    = {{IEEE}},
  title        = {{{Comparison of Different Probabilistic Graphical Models as Causal Models in Alarm Flood Reduction}}},
  doi          = {{10.1109/indin41052.2019.8972251}},
  year         = {{2019}},
}

@inproceedings{4318,
  abstract     = {{Recent advances in the field of industrial digitization and automation lead to an increasing need for assistance systems to support workers in various fields of activity, such as assembly, logistics and maintenance. Current assistance systems for the maintenance area are usually based on a single visualization technology. However, in our view, this is not practicable in terms of real activities, as these operations involve various subtasks for which different interaction concepts would be advantageous. Therefore, in this paper, we propose a concept for a multi-device assistive system, which combines multiple devices to provide workers with relevant information over different subtasks of a maintenance operation and present our first prototype for such a system.}},
  author       = {{Heinz, Mario and Dhiman, Hitesh and Röcker, Carsten}},
  booktitle    = {{Machine Learning and Knowledge Extraction :Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018}},
  editor       = {{Holzinger, Andreas and Kieseberg, Peter and Tjoa, A Min and Weippl, Edgar}},
  isbn         = {{978-3-319-99739-1}},
  keywords     = {{Human-machine-interaction, Multimodal feedback, Assistive systems, Augmented-reality, Smart factory}},
  location     = {{Hamburg}},
  pages        = {{239 -- 247}},
  publisher    = {{Springer}},
  title        = {{{A Multi-Device Assistive System for Industrial Maintenance Operations}}},
  doi          = {{10.1007/978-3-319-99740-7_16}},
  volume       = {{11015}},
  year         = {{2018}},
}

@inproceedings{4319,
  abstract     = {{With the introduction of intelligent and autonomous systems into factory environments, workplaces where human employees work alongside digital counterparts will become increasingly informational. We develop a generic framework for hypothetical workplaces to investigate how complexities create to uncertainties. Complexity may be explained through the Level of Abstractions used to model a system, and it is encountered in its dynamic form as an alteration of information flow between agents in a phenomenological relationship. Analyzing these systems as ‘information flows’ brings to light the uncertainity(ies) the workers of the future will have to cope with. We develop first concepts that can be used to develop heuristics to manage these uncertainties in complex manufacturing environments. These heuristics may also be useful in creating optimized workplaces that combine the individual abilities of both humans and machines. The framework proposed in this paper may be subject for an empirical validation of these heuristics in the future.}},
  author       = {{Dhiman, Hitesh and Plewe, D. A. and Röcker, Carsten}},
  booktitle    = {{Advances in Manufacturing, Production Management and Process Control}},
  editor       = {{Karwowski, Waldemar and Trzcielinski, Stefan and Mrugalska, Beata and Di Nicolantonio, Massimo}},
  isbn         = {{978-3-319-94195-0}},
  keywords     = {{Uncertainties, Complexity, Human-machine interaction}},
  location     = {{Orlando, Florida, USA}},
  pages        = {{103+114}},
  publisher    = {{Springer}},
  title        = {{{Addressing Uncertainties in Complex Manufacturing Environments: A Multidisciplinary Approach}}},
  doi          = {{10.1007/978-3-319-94196-7_10}},
  volume       = {{793}},
  year         = {{2018}},
}

@inproceedings{4320,
  abstract     = {{The use of Assistive Technology (AT) plays a significant role in the advancement of greater independence for individuals with disabilities in their work life. In particular, digital step-by-step support can enable people to perform production tasks that were formerly difficult to accomplish. In this paper, we focused on finding a solution for a specific production process. To this end, we set up a prototype assistive system for performing a cutting task which provides step-by-step support for people with disabilities. In an evaluation study with impaired people, we investigated how our assistive system affects the task efficiency as well as participants’ subjective evaluation of perceived mental effort and system usability. Results show advantages for step-by-step support with regard to users’ task efficiency and subjective evaluation.}},
  author       = {{Aksu, Volkan and Jenderny, Sascha and Martinez, Sascha and Röcker, Carsten}},
  booktitle    = {{Advances in Usability, User Experience and Assistive Technology}},
  editor       = {{Ahram, Tareq Z. and Falcão, Christianne}},
  isbn         = {{978-3-319-94946-8}},
  keywords     = {{Assistive Technology, People with disabilities, User-centered, Design, Human-computer-interaction, Production Step-by-step instructions}},
  location     = {{Orlando, Florida, USA}},
  pages        = {{775--785}},
  publisher    = {{Springer}},
  title        = {{{A Digital Assistance System Providing Step-by-Step Support for People with Disabilities in Production Tasks}}},
  doi          = {{10.1007/978-3-319-94947-5_76}},
  volume       = {{794}},
  year         = {{2018}},
}

@inproceedings{4321,
  abstract     = {{Recent research has shown that computer-based Assistive Technology (AT) has the potential to support individuals with disabilities in production environments. At the same time, step-by-step instructions enable workers to be successful in their performance of industrial tasks that were formerly difficult to accomplish. We merged these two types of intervention and developed an application running on a mobile device that can assist disabled workers working more independently. In an evaluation study, we investigated how our assistive system affects the task efficiency as well as participants’ subjective evaluation. Results show advantages when using the assistive prototype with regard to users’ task efficiency and subjective evaluations.}},
  author       = {{Aksu, Volkan and Jenderny, Sascha and Martinez, Sascha and Röcker, Carsten}},
  booktitle    = {{Providing Context-Sensitive Mobile Assistance for People with Disabilities in the Workplace}},
  editor       = {{Di Bucchianico, Giuseppe }},
  isbn         = {{978-3-319-94621-4}},
  keywords     = {{Assistive technology, People with disabilities : Human computer interaction : Industry 4.0, Inclusion, Context-sensitive assistance, Step-by-step instructions, Production, Mobile assistance}},
  location     = {{Orlando, Florida, USA}},
  pages        = {{3--14}},
  publisher    = {{Springer}},
  title        = {{{Providing Context-Sensitive Mobile Assistance for People with Disabilities in the Workplace}}},
  doi          = {{10.1007/978-3-319-94622-1_1}},
  volume       = {{776}},
  year         = {{2018}},
}

@inproceedings{4323,
  abstract     = {{The latest generation of head-mounted displays such as HoloLens pro- vide mixed reality capabilities that claim to better integrate the real and virtual worlds. In this paper, we would like the share our experiences in implementing a user interface for an assembly assistance system using the HoloLens. We carried out a preliminary evaluation of the applicability of mixed reality using the per- spective of developers and expert users in an assembly scenario that allows us to operate and compare two interfaces - a state-of-the-art projector display system and the HoloLens. We believe our findings may contribute towards a better un- derstanding of the effects of new display technologies such as the HoloLens in developing and using assistance systems in other fields as well. Areas that may be of future research are also highlighted.}},
  author       = {{Dhiman, Hitesh and Martinez, Sascha and Paelke, Volker and Röcker, Carsten}},
  booktitle    = {{HCI in Business, Government, and Organizations}},
  editor       = {{Fui-Hoon Nah, Fiona and Sophia Xiao, Bo}},
  isbn         = {{978-3-319-91715-3}},
  keywords     = {{Human machine interaction, Assembly assistance system, Qualitative study, HoloLens}},
  location     = {{Las Vegas, NV, USA}},
  pages        = {{67--78}},
  publisher    = {{Springer}},
  title        = {{{Head-Mounted Displays in Industrial AR-Applications: Ready for Prime Time?}}},
  doi          = {{10.1007/978-3-319-91716-0_6}},
  volume       = {{10923}},
  year         = {{2018}},
}

@inproceedings{4324,
  abstract     = {{On the long term, the current wave of digitization and automation in the industrial environment will result in a progressively higher complexity and heterogeneity in the industrial environment. In this context, a growing need arises for the development of digital assistance systems to support workers in various fields of activities. Current systems are generally limited to visualizations and visual feedback. Therefore, in the scope of this paper, we take a look at the major challenges and opportunities for the integration of multimodal feedback systems in today’s and future industrial environments. It shows that the integration of multimodal feedback is subject to a complex combination of technical, user-cenric and legal aspects.}},
  author       = {{Heinz, Mario and Röcker, Carsten}},
  booktitle    = {{Machine Learning and Knowledge Extraction :Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018}},
  editor       = {{Holzinger, Andreas and  Kieseberg, Peter and Tjoa, A Min and Weippl, Edgar}},
  isbn         = {{978-3-319-99739-1}},
  keywords     = {{Human-machine-interaction, Multimodal feedback, Assistive systems, Augmented-reality, Smart factory}},
  location     = {{Hamburg}},
  publisher    = {{Springer}},
  title        = {{{Feedback Presentation for Workers in Industrial Environments–Challenges and Opportunities}}},
  doi          = {{10.1007/978-3-319-99740-7_17}},
  volume       = {{11015}},
  year         = {{2018}},
}

@inproceedings{4325,
  abstract     = {{With the introduction of intelligent and autonomous systems into factory environments, workplaces where human employees work alongside digital counterparts will become increasingly informational. We develop a generic framework for hypothetical workplaces to investigate how complexities create to uncertainties. Complexity may be explained through the Level of Abstractions used to model a system, and it is encountered in its dynamic form as an alteration of information flow between agents in a phenomenological relationship. Analyzing these systems as ‘information flows’ brings to light the uncertainity(ies) the workers of the future will have to cope with. We develop first concepts that can be used to develop heuristics to manage these uncertainties in complex manufacturing environments. These heuristics may also be useful in creating optimized workplaces that combine the individual abilities of both humans and machines. The framework proposed in this paper may be subject for an empirical validation of these heuristics in the future. }},
  author       = {{Dhiman, Hitesh and Plewe, D. A. and Röcker, Carsten}},
  booktitle    = {{International Conference on Applied Human Factors and Ergonomics}},
  isbn         = {{978-3-319-94195-0}},
  keywords     = {{Uncertainties, Complexity, Human-machine interaction}},
  location     = {{Orlando, Florida, USA}},
  pages        = {{ 103--114}},
  publisher    = {{Springer}},
  title        = {{{Addressing Uncertainties in Complex Manufacturing Environments: A Multidisciplinary Approach}}},
  doi          = {{10.1007/978-3-319-94196-7_10}},
  volume       = {{793}},
  year         = {{2018}},
}

@inproceedings{4326,
  abstract     = {{The mechanical engineering and related industries are increasingly being dominated by information and communication technology, leading to the development of cyber-physical systems. However, these systems have to be seen from a broader angle, incorporating several other environmental factors such as the organizational structure or human factors. For this reason, the technology cannot be seen as solitary system, but should rather be included in the context of a scenario of work 4.0. These scenarios can help to classify new technologies, their advantages and constraints in order to provide guidance for the digital development of organizations. While several frameworks have been proposed in terms of technological guidance, most of them focus heavily on technology, neglecting their organizational- and human factors. In order to form a uniform understanding of the construct of industry 4.0, we developed an instrument for rating scenarios of work 4.0 on the relevant dimensions 'technology', 'human' and 'organization'. This paper describes the chosen relevant criteria including possible constraints we encountered. Future work on this topic will include the creation of profiles of scenarios of work 4.0, further validation of the criteria.}},
  author       = {{Jenderny, Sascha and Foullois, Marc and Kato-Beiderwieden, Anna-Lena and Bansmann, Michael and Wöste, Lars and Lamß, Josefine and Maier, Günter W. and Röcker, Carsten}},
  booktitle    = {{Proceedings of the International Conference on Pervasive Technologies Related to Assistive Environments (PETRA'18). ACM, New York, NY, USA, pp. 319 - 326}},
  isbn         = {{978-1-4503-6390-7}},
  keywords     = {{Human-centered computing, Human computer interaction (HCI), HCI theory, concepts and models}},
  location     = {{Corfu, Greece}},
  pages        = {{319–326}},
  publisher    = {{ACM}},
  title        = {{{Development of an Instrument for the Assessment of Scenarios of Work 4.0 Based on Socio-Technical Criteria}}},
  doi          = {{10.1145/3197768.3201566}},
  year         = {{2018}},
}

@inproceedings{4327,
  abstract     = {{In ever changing world, the industrial systems become more and more complex. Machine feedback in the form of alarms and notifications, due to its growing volume, becomes overwhelming for the operator. In addition, expectations in relation to system availability are growing as well. Therefore, there exists strong need for new solutions guaranteeing fast troubleshooting of problems that arise during system operation. The approach proposed in this study uses advantages of the Asset Administration Shell, machine learning, and human-machine interaction in order to create the assistance system which holistically addresses the issue of troubleshooting complex industrial systems.}},
  author       = {{Lang, Dorota and Wunderlich, Paul and Heinz, Mario and Wisniewski, Lukasz and Jasperneite, Jürgen and Niggemann, Oliver and Röcker, Carsten}},
  booktitle    = {{14th IEEE International Workshop on Factory Communication Systems (WFCS)}},
  keywords     = {{Maintenance engineering, Adaptation models, Machine learning, Data models, Standards, Software, Bayes methods}},
  location     = {{Imperia, Italy }},
  publisher    = {{IEEE}},
  title        = {{{Assistance System to Support Troubleshooting of Complex Industrial Systems}}},
  doi          = {{10.1109/WFCS.2018.8402380}},
  year         = {{2018}},
}

@misc{12856,
  abstract     = {{Multimodal interfaces provide users with a number of different ways of interacting with a system. This paper proposes the integration of an explicit interaction model as an extension of the well-known MVC architectural pattern. It builds upon previous extensions regarding explicit structure, user interface (UI), and environmental models. In addition, this paper proposes an explicit UI layer in a service-oriented hypermedia infrastructure to address requirements from multimodal interfaces.}},
  author       = {{Rubart, Jessica}},
  booktitle    = {{Proceedings of the 1st Workshop on Human Factors in Hypertext}},
  editor       = {{Atzenbeck, Claus}},
  isbn         = {{978-1-4503-5658-9}},
  keywords     = {{Multimodal interaction, hypermedia structures, hypertext infrastructure, structure model, interaction model, MVC, digital boardroom}},
  location     = {{Baltimore, MD}},
  pages        = {{17--21}},
  publisher    = {{ACM}},
  title        = {{{Multimodal Interaction with Hypermedia Structures}}},
  doi          = {{10.1145/3215611.3215613}},
  year         = {{2018}},
}

@misc{11444,
  abstract     = {{Generation Y marks the transition between a world with and without fully implemented Internet: A new kind of virtual space is formed and is impacting the way we live in this world, the way we perceive it, and the way we interact with it. Mobile devices, such as phones, build a new form of electronic technology type we interact with. This thesis investigates how this new form of relation can give insights to the way we are situated in this world with all its complexities and levels.
In a case study, the author focuses on the relationship with mobile devices in the context of memory (making and recalling), materiality (haptic and metaphoric) and the human body itself (perception and sensory system). By developing a practice and contextualizing it in terms of space-theoretical and phenomenological concepts, this thesis aims to start a discourse on our human, (un-)conscious relation to mobile devices in place and time. Is it time for an imperfect, humane view towards the era of information from a Millennial perspective?}},
  author       = {{Pusch, Lisa}},
  keywords     = {{Memory Making, Generation Y, Millenials, Human-Computer-Relationship, Mobile Phone, Spatial Theory, Perception}},
  pages        = {{264}},
  publisher    = {{ProQuest}},
  title        = {{{On memory: Body, devices, material. Towards a new practice of MediaArchitecture}}},
  year         = {{2017}},
}

@inproceedings{682,
  abstract     = {{Well-designed interactive visualizations help users gaining insights into an organization's data and, finally, making decisions. In the Business Intelligence (BI) context, the most popular visualization approach is dashboards, which combine multiple visual components, such as charts, on a single view. Well-founded decisions require the collaboration of several analysts, such as domain experts, line-of-business managers, or key suppliers. For face-to-face collaboration settings, multi-display environments and smart meeting rooms have improved. In the BI context, support for boardrooms is being discussed for this setting. In this paper, we propose annotation dashboards, based on a multitouch and multiuser interaction approach, which are integrated in a multi-display environment constituting a BI digital boardroom. In addition, means of semantic navigation help business users to easily get insights into business context information.}},
  author       = {{Rubart, Jessica and Lietzau, Benjamin and Soehlke, Patrick and Alex, Bastian and Becker, Stephan and Wienboeker, Tim}},
  booktitle    = {{2017 IEEE 11th International Conference on Semantic Computing (ICSC)}},
  isbn         = {{978-1-5090-4285-2 }},
  keywords     = {{Semantics, Data visualization, Navigation, Collaboration, Context, Business intelligence, Digital Boardroom, Multitouch and Multiuser Interaction}},
  location     = {{San Diego, CA, USA}},
  publisher    = {{IEEE}},
  title        = {{{Semantic Navigation and Discussion in a Digital Boardroom}}},
  doi          = {{10.1109/icsc.2017.39}},
  year         = {{2017}},
}

@inproceedings{4254,
  abstract     = {{The current trend of integrating machines and factories into cyber-physical systems (CPS) creates an enormous complexity for operators of such systems. Especially the search for the root cause of cascading failures becomes highly time-consuming. Within this paper, we address the question on how to help human users to better and faster understand root causes of such situations. We propose a concept of interactive alarm flood reduction and present the implementation of a first vertical prototype for such a system. We consider this prototype as a first artifact to be discussed by the research community and aim towards an incremental further development of the system in order to support humans in complex error situations.}},
  author       = {{Büttner, Sebastian and Wunderlich, Paul and Heinz, Mario and Niggemann, Oliver and Röcker, Carsten}},
  booktitle    = {{ Machine Learning and Knowledge Extraction : First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 – September 1, 2017, Proceedings}},
  editor       = {{Holzinger, Andreas}},
  isbn         = {{978-3-319-66807-9}},
  keywords     = {{Alarm flood reduction, Machine learning, Assistive system}},
  location     = {{Reggio, Italy}},
  pages        = {{69--82}},
  publisher    = {{Springer}},
  title        = {{{Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction}}},
  volume       = {{10410}},
  year         = {{2017}},
}

@inproceedings{4257,
  abstract     = {{The selection of suitable display technologies for industrial augmented reality (AR) applications is becoming increasingly relevant as such applications move from the proof-of-concept to the application stage. To support project managers, designers and developers in the critical selection process we have developed a checklist of important aspects and related evaluation hints that helps to speed up and improve the selection process. The checklist presented in this paper was designed to be useful for both researchers and practitioners. It combines pertinent information from relevant standards like ISO 9241-210 with results from current research literature and experience from several AR projects in industrial contexts. It can be applied both in collaboration with AR experts, where it helps to prepare relevant information for the collaboration and thus streamlines the process, or stand-alone, as a guideline for the evaluation of different options by a design team. }},
  author       = {{Paelke, Volker and Büttner, Sebastian and Mucha, Henrik and Röcker, Carsten}},
  booktitle    = {{Advances in Ergonomics of Manufacturing: Managing the Enterprise of the Future.}},
  editor       = {{Trzcielinski, Stefan}},
  isbn         = {{978-3-319-60473-2}},
  issn         = {{2194-5365}},
  keywords     = {{Augmented reality, Displays, Evaluation, Checklist, Context of use, Human-Computer interaction}},
  location     = {{Los Angeles, California, USA}},
  pages        = {{225--234}},
  publisher    = {{Springer}},
  title        = {{{A Checklist-Based Approach for Evaluating Augmented Reality Displays in Industrial Applications}}},
  doi          = {{10.1007/978-3-319-60474-9_21}},
  volume       = {{606}},
  year         = {{2017}},
}

@inproceedings{4258,
  abstract     = {{Research on how to take advantage of Augmented Reality and Virtual Reality applications and technologies in the domain of manufacturing has brought forward a great number of concepts, prototypes, and working systems. Although comprehensive surveys have taken account of the state of the art, the design space of industrial augmented and virtual reality keeps diversifying. We propose a visual approach towards assessing this space and present an interactive, community-driven tool which supports interested researchers and practitioners in gaining an overview of the aforementioned design space. Using such a framework we collected and classified relevant publications in terms of application areas and technology platforms. This tool shall facilitate initial research activities as well as the identification of research opportunities. Thus, we lay the groundwork, forthcoming workshops and discussions shall address the refinement.}},
  author       = {{Büttner, Sebastian and Mucha, Henrik and Funk, Markus and Kosch, Thomas and Aehnelt, Mario and Robert, Sebastian and Röcker, Carsten}},
  booktitle    = {{10th ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA '17) }},
  keywords     = {{Applied computing, Operations research, Operations research, Human-centered computing, Human computer interaction (HCI), Interaction paradigms}},
  location     = {{Rhodes,  Greece}},
  pages        = {{433440}},
  publisher    = {{ACM}},
  title        = {{{The Design Space of Augmented and Virtual Reality Applications for Assistive Environments in Manufacturing: A Visual Approach}}},
  doi          = {{10.1145/3056540.3076193}},
  year         = {{2017}},
}

@inproceedings{265,
  abstract     = {{The maintenance of a tool for injection molding or forming is usually accompanied by its disassembly and assembly. The duration of the assembly activities is often a large part of the total activity time for the maintenance of the tool. The degree of performance of the employees in the execution of these disassembly and assembly activities is often low. In addition, allowances occur (e.g. searching for work equipment). At the Industrial Engineering Lab of the Ostwestfalen-Lippe University of Applied Sciences, a prototype of an assistance system was developed to support the assembly activities in toolmaking. With the help of this system, the operator is guided step by step through the assembly process. The economic potential of the system exists in the reduction of training times, the avoidance of assembly errors and the increase of labor productivity.}},
  author       = {{Hinrichsen, Sven and Riediger, Daniel and Unrau, Alexander}},
  booktitle    = {{2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)}},
  isbn         = {{978-1-5386-0948-4 }},
  keywords     = {{injection moulding, machine tools, maintenance engineering, productivity, projection-based assistance system, injection molding tools, assembly activities, assembly process, assembly errors, tool maintenance, disassembly activities, economic potential, Industrial Engineering Lab, Ostwestfalen-Lippe University of Applied Sciences, toolmaking, Tools, Injection molding, Maintenance engineering, Usability, Task analysis, Workstations, Morphology, assembly assistance systems, assistance systems, maintenance of injection molding tools, manual assembly}},
  location     = {{Singapore}},
  number       = {{1}},
  pages        = {{1571--1575}},
  title        = {{{Development of a Projection-Based Assistance System for Maintaining Injection Molding Tools}}},
  doi          = {{https://doi.org/10.1109/IEEM.2017.8290157}},
  year         = {{2017}},
}

@inbook{4298,
  abstract     = {{In this paper, we present the current state-of-the-art of decision making (DM) and machine learning (ML) and bridge the two research domains to create an integrated approach of complex problem solving based on human and computational agents. We present a novel classification of ML, emphasizing the human-in-the-loop in interactive ML (iML) and more specific on collaborative interactive ML (ciML), which we understand as a deep integrated version of iML, where humans and algorithms work hand in hand to solve complex problems. Both humans and computers have specific strengths and weaknesses and integrating humans into machine learning processes might be a very efficient way for tackling problems. This approach bears immense research potential for various domains, e.g., in health informatics or in industrial applications. We outline open questions and name future challenges that have to be addressed by the research community to enable the use of collaborative interactive machine learning for problem solving in a large scale.}},
  author       = {{Robert, Sebastian and Büttner, Sebastian and Röcker, Carsten and Holzinger, Andreas}},
  booktitle    = {{Machine Learning for Health Informatics : State-of-the-Art and Future Challenges }},
  editor       = {{Holzinger, Andreas}},
  isbn         = {{978-3-319-50477-3 }},
  keywords     = {{Decision making, Reasoning, Interactive machine learning, Collaborative interactive machine learning}},
  pages        = {{357--376}},
  publisher    = {{Springer}},
  title        = {{{Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning}}},
  doi          = {{10.1007/978-3-319-50478-0_18}},
  volume       = {{9605}},
  year         = {{2016}},
}

@inproceedings{4299,
  abstract     = {{With the advances of technology, intelligent assistive systems that adapt to individual humans will become feasible. However, application areas of such systems are rarely discussed within the Industry 4.0 community. Most assistive systems that have been presented have been developed for specific task, such as assembly support or warehouse picking, but there might be a huge uncovered design space to be explored. With this work, we want to step back from existing systems and analyze the design opportunities of assistive systems especially for small and medium-size enterprises (SME). To achieve this goal we conducted a study in four SME, consisting of observations and interviews. Here we present our findings about the potential future application areas of human-centered assistive systems.}},
  author       = {{Mucha, Henrik and Büttner, Sebastian and Röcker, Carsten}},
  booktitle    = {{Human-Computer Interaction – Perspectives on Industry 4.0. Workshop at i-KNOW 2016 }},
  keywords     = {{Industry 4.0, Assistive Systems, Small and Medium-Sized Enterprises, SME, Human-Centered Design, Human-Computer Interaction for Industry}},
  location     = {{Graz, Austria}},
  publisher    = {{TU}},
  title        = {{{Application Areas for Human-Centered Assistive Systems}}},
  year         = {{2016}},
}

@inproceedings{4300,
  abstract     = {{Human-centered design methods are nowadays widely used in the design of consumer products. These methods aim at designing products with a high usability and a positive user experience (UX). However, in the domain of the design of industrial machines, design is often driven by functional requirements mostly neglecting the usability and user experience of products. Together with a medium-sized manufacturer of industrial laundry machines we applied the human-centered design process in an industrial context. In this field report, we describe the human-centered design methods applied in the project, the adaptations we had to make in the process and the challenges and opportunities for applying human-centered design in an industrial environment in general. }},
  author       = {{Büttner, Sebastian and Röcker, Carsten}},
  booktitle    = {{Human-Computer Interaction – Perspectives on Industry 4.0. Workshop at i-KNOW 2016}},
  keywords     = {{Design Methods, Human-Centered Design, Industrial Human-Computer Interaction, Industry 4.0}},
  location     = {{Graz, Austria}},
  publisher    = {{TU}},
  title        = {{{Applying Human-Centered Design Methods in Industry – a Field Report}}},
  year         = {{2016}},
}

@inproceedings{273,
  abstract     = {{This paper introduces an efficient modular solution kit for intralogistic drives, which reduces the total energy consumption of all drives in an automated warehouse by more than 15%. The reduction of energy consumption results from the interaction of optimized components (motors, control techniques and regeneration units), which are described in detail in this paper. Different motor concepts like the induction motor, the synchronous reluctance motor and the permanent magnet synchronous machine are compared according to the special requirements for intralogistics applications. Different control techniques are presented in order to achieve sensorless and efficient-optimal operation of these motors. The sensorless control technique uses signal injection to detect the rotor position sufficiently exact also in case of speed near standstill. Efficient-optimal operation is achieved by reducing the motor current with regard to the torque (MTPA-control). Furthermore this paper introduces a regeneration unit that can be connected between the DC link of frequency inverters and the mains to feed back regenerative energy. The regeneration unit consisting of a buck converter, a synchronous inverter and a line-filter can work in parallel to commonly used uncontrolled rectifiers. Its functioning is shown with the help of measurement results of a 1kW laboratory prototype. The last section shows a demonstrator in which a conventional conveyer system (with induction motor and braking resistor) is compared with an optimized one using the presented components. Power versus time measurements show specific energy savings resulting from the interaction of the optimized components.}},
  author       = {{Austermann, Johann and Borcherding, Holger and Stichweh, H. and Grabs, Volker}},
  booktitle    = {{2016 18th European Conference on Power Electronics and Applications (EPE'16 ECCE Europe)}},
  isbn         = {{978-3-8007-4186-1}},
  keywords     = {{electric current control, induction motors, invertors, permanent magnet motors, reluctance motors, sensorless machine control, torque control, modular solution kit, intralogistic drives, automated warehouse, energy consumption reduction, optimized components interaction, induction motor, synchronous reluctance motor, permanent magnet synchronous machine, sensorless control technique, signal injection, rotor position, motor current, MTPA-control, regeneration unit, DC link, frequency inverters, buck converter, synchronous inverter, line-filter, Induction motors, Reluctance motors, Permanent magnet motors, Rotors, Torque, Inverters, intralogistics, reluctance motor, sensorless control, regeneration unit, braking energy}},
  location     = {{Karlsruhe}},
  pages        = {{1639--1646}},
  publisher    = {{VDE Verlag}},
  title        = {{{High Efficient Modular Drive System - An Ideal Approach for Green Intralogistics Applications}}},
  doi          = {{10.1109/EPE.2016.7695687}},
  year         = {{2016}},
}

@inproceedings{432,
  abstract     = {{The trend of increasing technological complexity of machines mainly correlates with the integration of additional functions in machines. Increasing functionality  of  the  machines  leads  to  an  increased  number  of  control  
elements, which limits the clarity of the machine operation and leads to higher cognitive demands in the machine operation. Due to the growing functional range of production machines the demand of usability  for  the  operating  systems  continues  to  grow.  The  selection  and design  of  icons  for  the  identification of controls  contributes  significantly  to usability, especially for intuitive operation of production machines.  
The  aim  of  this  study  is  to  investigate  the  intuitive  usability  of  production machines,  to  consider  its  use  of  graphical  elements  (icons)  and  to  derive recommendations  for  a  demand-oriented  selection  and  design  of  icons.  To achieve  this  goal,  laboratory  studies at  five  modern  production  machines (laser  sintering  machine,  CNC  universal  lathe,  plastic  injection  molding machine,  laser  processing  machine,  woodworking  machine)  -  each  with different operating concept - were performed. The  results  of  the  study  show  that  the  used  symbols  in  the  examined machines  are  only  limited  self-explanatory  and  intuitive,  and  thus  have significant deficits for easy and intuitive operation. Especially the combination of screens and electronic keys or switches was often criticized and leads to uncertainty in the operation. As a result, recommendations for the design of icons on production machines are given. }},
  author       = {{Riediger, Daniel and Hinrichsen, Sven and Schlee, Alexander}},
  booktitle    = {{Production Engineering and Management}},
  editor       = {{Villmer, Franz-Josef and Padoano, Elio}},
  isbn         = {{978-3-941645-11-0}},
  keywords     = {{Usability, production mach ine, icons, usability, hum an-machine compatibility}},
  location     = {{Trieste}},
  number       = {{1}},
  pages        = {{123--130}},
  publisher    = {{Hochschule Ostwestfalen-Lippe}},
  title        = {{{Ergonomic Design of Graphical Control Elements on Production Machines}}},
  year         = {{2015}},
}

@book{4336,
  abstract     = {{Prolonged life expectancy along with the increasing complexity of medicine and health services raises health costs worldwide dramatically. Whilst the smart health concept has much potential to support the concept of the emerging P4-medicine (preventive, participatory, predictive, and personalized), such high-tech medicine produces large amounts of high-dimensional, weakly-structured data sets and massive amounts of unstructured information. All these technological approaches along with “big data” are turning the medical sciences into a data-intensive science. To keep pace with the growing amounts of complex data, smart hospital approaches are a commandment of the future, necessitating context aware computing along with advanced interaction paradigms in new physical-digital ecosystems.

The very successful synergistic combination of methodologies and approaches from Human-Computer Interaction (HCI) and Knowledge Discovery and Data Mining (KDD) offers ideal conditions for the vision to support human intelligence with machine learning.

The papers selected for this volume focus on hot topics in smart health; they discuss open problems and future challenges in order to provide a research agenda to stimulate further research and progress.}},
  editor       = {{Holzinger, Andreas and Röcker, Carsten and Ziefle, Martina}},
  isbn         = {{978-3-319-16225-6}},
  issn         = {{1611-3349}},
  keywords     = {{HCI, ambient assisted living, big data, computational intelligence, context awareness, data centric medicine, decision support, interactive data mining, keyword detection, knoweldge bases, knoweldge discovery, machine learning, medical decision support, medical informatics, natural language processing, pervasive health, smart home, ubiquitous computing, visualization, wearable sensors}},
  pages        = {{275}},
  publisher    = {{Springer}},
  title        = {{{Smart Health: Open Problems and Future Challenges}}},
  doi          = {{10.1007/978-3-319-16226-3}},
  volume       = {{8700}},
  year         = {{2015}},
}

@inproceedings{2167,
  abstract     = {{Cyber-Physical Production Systems (CPPSs) are in the focus of research, industry and politics: By applying new IT and new computer science solutions, production systems will become more adaptable, more resource ef- ficient and more user friendly. The analysis and diagnosis of such systems is a major part of this trend: Plants should detect automatically wear, faults and suboptimal configurations. This paper reflects the current state-of- the-art in diagnosis against the requirements of CPPSs, identifies three main gaps and gives application scenarios to outline first ideas for potential solutions to close these gaps.
}},
  author       = {{Niggemann, Oliver and Lohweg, Volker}},
  booktitle    = {{Twenty-Ninth Conference on Artificial Intelligence (AAAI-15)}},
  keywords     = {{Cyber-Physical Systems, Machine Learning, Diagnosis, Anomaly Detection}},
  title        = {{{On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda}}},
  year         = {{2015}},
}

@inproceedings{4395,
  abstract     = {{This paper presents the evaluation of a mixed reality communication system for the home domain, called roomXT. The system uses a wall-sized display that is seamlessly integrated into a living lab, to create a 'life-like' video communication experience. In order to demonstrate the potential of this approach, we conducted a living lab study comparing the developed prototype with a desktop-based system. A special video communication application, which enables spatially separated users to have a joint dinner experience, served as a common basis for the different test conditions. Results of the study show that the overall concept of roomXT was well eceived by users of a wide age range and that the developed prototype system seems to be preferred to commercially available video communication solutions with respect to the tested quality dimensions.}},
  author       = {{Kasugai, Kai and Heidrich, Felix and Röcker, Carsten and Russell, Peter and Ziefle, Martina}},
  booktitle    = {{Proceedings of the 2012 International Symposium on Pervasive Displays}},
  editor       = {{José, Rui}},
  isbn         = {{978-145-031-414-5 }},
  keywords     = {{human-computer interaction, mixed-reality, large displays, co-dining, interactive media, family communication, co-presence, architecture}},
  location     = {{Porto, Portugal }},
  pages        = {{1--6}},
  publisher    = {{ACM}},
  title        = {{{Perspective Views in Video Communication Systems: An Analysis of Fundamental User Requirements}}},
  doi          = {{10.1145/2307798.2307811}},
  year         = {{2012}},
}

@inproceedings{2113,
  abstract     = {{In this paper, we sketch an idea for the integration of singleclass support vector machines (SVM) into fuzzy class learning. As result,we  obtain  robust  and  transparent  rule-based  fuzzy  classification  models suitable for online-classification tasks. In particular, the singleclass SVM is employed to extend the applicability of convex fuzzy classifica-tion models to nonconvex datainherent structures. The key point of thisextension  is  the  preservation  of  the  interpretability  for  both,  the  classlearning and the classification process. The feasibility of the approach isdemonstrated in the context of a banknote authentication application.}},
  author       = {{Hempel, Arne-Jens and Hähnel, Holger and Mönks, Uwe and Lohweg, Volker}},
  booktitle    = {{BVAu 2012 - 3. Jahresolloquium "Bildverarbeitung in der Automation" Centrum Industrial IT, Lemgo,}},
  keywords     = {{fuzzy  classification, pattern  recognition, single-class  support vector machine, data mining}},
  publisher    = {{inIT-Institut für industrielle Informationstechnik}},
  title        = {{{SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication}}},
  year         = {{2012}},
}

@inproceedings{4491,
  abstract     = {{This paper reports on a cross-national user study exploring the influence of the social work situation on the preferred level of control over IT services in smart office environments. The acceptance of different control mechanisms was tested for representative functionalities with participants from Germany and the USA. The results of the questionnaire-based study show, that the social situation, in which a certain application is used, has a significant effect on the preferred level of user control.}},
  author       = {{Röcker, Carsten}},
  booktitle    = {{2nd International Conference on Mechanical and Electrical Technology (ICMET), 2010 }},
  isbn         = {{9781424481002}},
  keywords     = {{Ambient Intelligence, Ubiquitous and Pervasive Computing, User Interface, Intelligent Environments, Human-Computer Interaction, User Study, Evaluation}},
  location     = {{Singapore}},
  pages        = {{314  --  318}},
  publisher    = {{IEEE}},
  title        = {{{Socially Dependent Interaction in Smart Spaces: How the Social Situation Influences the Interaction Style in Computer-Enhanced Environments}}},
  doi          = {{10.1109/ICMET.2010.5598371}},
  year         = {{2010}},
}

@inproceedings{4492,
  abstract     = {{In most countries demographic developments tend towards more and more elderly people in single households. Improving the quality of life for elderly people is an emerging issue within our information society. Good user interfaces have tremendous implications for appropriate accessibility. Though, user interfaces should not only be easily accessible, they should also be useful, usable and most of all enjoyable and a benefit for people. Traditionally, Human–Computer Interaction (HCI) bridges Natural Sciences (Psychology) and Engineering (Informatics/Computer Science), whilst Usability Engineering (UE) is anchored in Software Technology and supports the actual implemen-tation. Together, HCI and UE have a powerful potential to help towards making technology a little bit more accessible, useful, useable and enjoyable for everybody.}},
  author       = {{Holzinger, Andreas and Ziefle, Martina and Röcker, Carsten}},
  booktitle    = {{Computers Helping People with Special Needs, Part II}},
  editor       = {{ Miesenberger, K. and Klaus, J. and Zagler, W. and Karshmer, A.}},
  isbn         = {{978-3-642-14099-0}},
  keywords     = {{Human–Computer Interaction, Usability Engineering, User Interfaces, Elderly People, Older Adults}},
  location     = {{Vienna, Austria}},
  pages        = {{556--559}},
  publisher    = {{Springer}},
  title        = {{{Human-Computer Interaction and Usability Engineering for Elderly (HCI4AGING): Introduction to the Special Thematic Session}}},
  doi          = {{10.1007/978-3-642-14100-3_83}},
  volume       = {{6180}},
  year         = {{2010}},
}

@article{4500,
  abstract     = {{This paper identifies social and technological concerns, which are likely to emerge through the integration of Ubiquitous Computing technologies in future work environments. The concerns presented in this paper were collected by reviewing relevant literature from different research domains and are clustered into two groups. The first group of concerns concentrates on the violation of individual user privacy and the consequences, which arise from these privacy breaches. The second group addresses environmental and societal transformation processes caused by a large-scale penetration of future information and communication technologies into everyday life. }},
  author       = {{Röcker, Carsten}},
  issn         = {{1529-7314 }},
  journal      = {{Issues in information systems : IIS / International Association für Computer Information Systems, IACIS }},
  keywords     = {{Ubiquitous and Pervasive Computing, Ambient Intelligence, Human Factors, Technology Acceptance, User Requirements}},
  number       = {{1}},
  pages        = {{pp. 61 -- 68}},
  title        = {{{Social and Technological Concerns Associated with the Usage of Ubiquitous Computing Technologies}}},
  doi          = {{10.48009/1_iis_2010_61-68}},
  volume       = {{11}},
  year         = {{2010}},
}

@inproceedings{2087,
  abstract     = {{It is likely in real-world applications that only little data isavailable for training a knowledge-based system. We present a method forautomatically training the knowledge-representing membership functionsof a Fuzzy-Pattern-Classification system that works also when only littledata is available and the universal set is described insufficiently. Actually,this paper presents how the Modified-Fuzzy-Pattern-Classifier’s member-ship functions are trained using probability distribution functions.}},
  author       = {{Mönks, Uwe and Lohweg, Volker and Petker, Denis}},
  booktitle    = {{IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems}},
  keywords     = {{Fuzzy Logic, Probability Theory, Fuzzy-Pattern-Classification, Machine Learning, Artificial Intelligence, Pattern Recognition}},
  publisher    = {{28 Jun 2010 - 02 July 2010, Dortmund, Germany}},
  title        = {{{Fuzzy-Pattern-Classifier Training with Small Data Sets}}},
  year         = {{2010}},
}

@misc{1299,
  abstract     = {{The aim of the project is to combine the knowledge of audio, video, interaction design and performing art into a media based content. A media worker without previous knowledge of electronics tends to achieve the task to work out the communication between media and interactive device. By means of an interactive installation, the technical and aesthetical opportunities are explored to find new ways to present the performance of musicians as well.}},
  author       = {{Hsieh, Mong-Gan}},
  keywords     = {{Visual Music, Mapping Projection, Interaction Design, Digital Performance, Audiovisual, Arduino, Pure Data}},
  pages        = {{53}},
  publisher    = {{Hochschule Ostwestfalen-Lippe}},
  title        = {{{Interactive Audiovisual Performance : Realtime Interaction with Improvising Music and Mapping Projection}}},
  year         = {{2010}},
}

@inproceedings{2082,
  abstract     = {{A robust vision system for the counterfeit detection of bank ATM keyboards is presented. The approach is based on the continuous inspection of a keyboard surface by the authenticity verification of coded covert surface features. For the surface coding suitable visual patterns on the keyboard are selected while considering constraints from the visual imperceptibility, robustness and geometrical disturbances to be encountered from the aging effects. The system’s robustness against varying camera-keyboard distances, lighting conditions and dirt-and-scratches effects is investigated. Finally, a demonstrator working in real-time is developed in order to publicly demonstrate the surface authentication process.}},
  author       = {{Iqbal, Taswar and Le, Dinh Khoi and Nolte, Michael and Lohweg, Volker}},
  booktitle    = {{32nd Annual Conference on Artificial Intelligence Paderborn | September 15 – 18, 2009, accepted for Publication}},
  isbn         = {{978-3-642-04616-2}},
  keywords     = {{ATMs, human perception, counterfeit resistance, digital authentication, surface coding, pattern recognition}},
  pages        = {{347--354}},
  publisher    = {{Springer}},
  title        = {{{Human Perception Based Counterfeit Detection for Automated Teller Machines, KI 2009, Artificial Intelligence and Automation }}},
  doi          = {{https://doi.org/10.1007/978-3-642-04617-9_44}},
  volume       = {{5803}},
  year         = {{2009}},
}

@inbook{4766,
  abstract     = {{This chapter presents a formative multi-method evaluation on future gaming systems. Following a scenario-driven approach, quantitative and qualitative methods are employed to elicit feedback from different target user populations. Based on the results of the different evaluation parts, a set of design requirements for future home entertainment systems is derived.}},
  author       = {{Röcker, Carsten and Magerkurth, Carsten and Hinske, Steve and Lampe, Matthias}},
  booktitle    = {{A reader for pervasive gaming research / Vol. 2. Pervasive gaming applications}},
  isbn         = {{978-3-8322-6224-2}},
  keywords     = {{User Interfaces, Pervasive Games, Evaluation, Human Computer  Interaction, User Requirements, Design Guidelines, Interface Design}},
  publisher    = {{Shaker}},
  title        = {{{Designing User-Friendly Interfaces for Pervasive Gaming Applications}}},
  volume       = {{67-83}},
  year         = {{2007}},
}

@inproceedings{4769,
  abstract     = {{In this paper a music-based awareness system called 'Social Radio' is presented. The system focuses on small intimate groups and enables multiple persons to stay in touch using smart artifacts and tangible interaction mechanisms.}},
  author       = {{Etter, Richard and Röcker, Carsten}},
  booktitle    = {{Proceedings of the International Conference on Tangible and Embedded Interaction (TEI'07)}},
  editor       = {{Ullmer, Brygg  and Schmidt, Albrecht}},
  isbn         = {{978-1-59593-619-6}},
  keywords     = {{Applied computing, Operations research, Human-centered computing, Human computer interaction (HCI)}},
  location     = {{Baton Rouge, Louisiana, USA}},
  pages        = {{11--12}},
  publisher    = {{ACM}},
  title        = {{{A Tangible User Interface for Multi-User Interaction}}},
  doi          = {{10.1145/1226969.1226972}},
  year         = {{2007}},
}

@inproceedings{4770,
  abstract     = {{This paper presents a novel approach for mediating awareness in small intimate groups. Instead of traditional communication media, music is used to inform users about the presence and mood of multiple remote peers. Based on this conceptual idea, an awareness system called 'Social Radio' was developed. The system consists of several smart artifacts and an underlying multi-user communication infrastructure.}},
  author       = {{Röcker, Carsten and Etter, Richard}},
  booktitle    = {{Proceedings of the International Conferences on Intelligent User Interfaces (IUI’07)}},
  isbn         = {{1-59593-481-2 }},
  keywords     = {{Applied computing, Operations research, Human-centered computing, Human computer interaction (HCI)}},
  location     = {{Honolulu Hawaii USA }},
  pages        = {{286--289}},
  publisher    = {{ACM}},
  title        = {{{Social Radio – A Music-Based Approach to Emotional Awareness Mediation}}},
  doi          = {{10.1145/1216295.1216348}},
  year         = {{2007}},
}

@inproceedings{4813,
  abstract     = {{This paper presents a formative multi-method evaluation on future gaming systems. Following a scenario-driven approach, quantitative and qualitative methods are employed to elicit feedback from different target user populations. Based on the results of the different evaluation parts, a set of design requirements for future home entertainment systems is derived. These requirements are then used to guide the development process of a ubiquitous computing gaming platform. To demonstrate the usefulness of the gaming platform, a sample application is discussed, which is described in the last section of this paper.}},
  author       = {{Röcker, Carsten and Magerkurth, Carsten and Haar, Maral}},
  booktitle    = {{Universal Access in Ambient Intelligence Environments : 9th ERCIM Workshop on User Interfaces for All}},
  editor       = {{Stephanidis, Constantine and Pieper, Michael}},
  isbn         = {{978-3-540-71024-0}},
  keywords     = {{User Interfaces, Pervasive Games, Evaluation, System Development, Tangible User Interfaces, Human Computer Interaction}},
  location     = {{Königswinter (Bonn), Germany}},
  pages        = {{352--368}},
  publisher    = {{Springer}},
  title        = {{{User Interfaces for Pervasive Games: Experiences of a Formative Multi-Method Evaluation and its Implications for System Development}}},
  doi          = {{10.1007/978-3-540-71025-7_23}},
  volume       = {{4397}},
  year         = {{2006}},
}

@inproceedings{4814,
  abstract     = {{In this paper, we present the Smart Dice Cup, a novel interaction device aimed at gaming applications in smart home environments. The Smart Dice Cup is used in a similar way as a traditional leather dice cup to generate random numbers. Integrated accelerometers relate the shaking of the device to the resulting rolls of the dice. In addition to an autonomous stand-alone mode, where the Smart Dice Cup serves as self-sustained gaming system, the device is also capable of communicating with its surrounding environment serving as an input device for other pervasive gaming applications.}},
  author       = {{Magerkurth, Carsten and Engelke, Timo and Röcker, Carsten}},
  booktitle    = {{Entertainment Computing - ICEC 2006}},
  editor       = {{Harper, Richard and Rauterberg, Matthias  and Combetto, Marco }},
  isbn         = {{978-3-540-45259-1}},
  keywords     = {{Interaction Device, Smart Home Environment, Pervasive Game, Remote Control Mode, Ambient Intelligence Environment}},
  location     = {{Cambridge, UK}},
  pages        = {{211--216}},
  publisher    = {{Springer}},
  title        = {{{The Smart Dice Cup: A Radio Controlled Sentient Interaction Device}}},
  doi          = {{10.1007/11872320_25}},
  year         = {{2006}},
}

@inproceedings{4819,
  abstract     = {{This paper presents the results of an empirical cross-cultural study conducted at six different sites in five European countries in the context of the EU IST-IP project AMIGO, Ambient Intelligence for the Networked Home Environment [1]. The study employed a scenario-driven approach and used quantitative and qualitative methods to elicit feedback from the target user population on concepts for intelligent home environments. The results are clustered and transformed in prioritized design guidelines.}},
  author       = {{Röcker, Carsten and Janse, Maddy D. and Portolan, Nathalie and Streitz, Norbert}},
  booktitle    = {{sOc-EUSAI '05: Proceedings of the 2005 joint conference on Smart objects and ambient intelligence: innovative context-aware services: usages and technologies}},
  isbn         = {{978-1-59593-304-1}},
  keywords     = {{Human-centered computing, Human computer interaction (HCI)}},
  location     = {{Grenoble, France}},
  pages        = {{111--116}},
  publisher    = {{ACM}},
  title        = {{{User Requirements for Intelligent Home Environments: A Scenario-Driven Approach and Empirical Cross-Cultural Study}}},
  doi          = {{10.1145/1107548.1107581}},
  volume       = {{121}},
  year         = {{2005}},
}

@misc{4822,
  author       = {{Streitz, Norbert and Magerkurth, Carsten and Prante, Thorsten and Röcker, Carsten}},
  booktitle    = {{Interactions : IX / Association of Computing Machinery }},
  issn         = {{1558-3449}},
  keywords     = {{Applied computing, Computers in other domains, Human-centered computing}},
  number       = {{4}},
  pages        = {{ 21 – 25}},
  publisher    = {{ACM Press}},
  title        = {{{From Information Design to Experience Design: Smart Artefacts and the Disappearing Computer}}},
  doi          = {{10.1145/1070960.1070979}},
  volume       = {{12}},
  year         = {{2005}},
}

@inproceedings{4828,
  abstract     = {{This demonstration reports results from the EU-funded project Ambient Agoras, investigating future applications of ubiquitous and ambient computing in workspaces. Instead of presenting underlying system technologies or evaluation findings, this demonstration will focus on three running prototypes that emerged from the project: InfoRiver, SIAM, and Hello.Wall. The systems are meant to support work-related processes in office buildings while at the same time fostering informal communication. The InfoRiver implements the information river metaphor for information flow through a building or an organization. SIAM is a task-management system enriched with collaboration support to foster group communication and awareness. Hello.Wall is a new ambient display that can "borrow" mobile artefacts. All prototypes are multi-user and multi-device systems enabling coherent and engaging interaction experiences with a variety of sensor-enhanced smart artefacts.}},
  author       = {{Prante, Thorsten and Stenzel, Richard and Röcker, Carsten and Streitz, Norbert and Magerkurth, Carsten}},
  booktitle    = {{HI EA '04: CHI '04 Extended Abstracts on Human Factors in Computing Systems}},
  editor       = {{Dykstra-Erickson, Elizabeth   and Tscheligi, Manfred }},
  isbn         = {{978-1-58113-703-3}},
  keywords     = {{Hardware, Human-centered computing}},
  location     = {{Vienna, Austria}},
  pages        = {{763--764}},
  publisher    = {{ACM}},
  title        = {{{Ambient Agoras – InfoRiver, SIAM, Hello.Wall}}},
  doi          = {{10.1145/985921.985924}},
  year         = {{2004}},
}

@inproceedings{4830,
  abstract     = {{We present a ubiquitous computing environment that consists of the Hello.Wall in combination with ViewPorts. Hello.Wall is a new wall-sized ambient display [4,2] that emits information via light patterns and is considered informative art. As an integral part of the physical environment, Hello.Wall constitutes a seeding element of a social architectural space conveying awareness information and atmospheres in organizations or at specific places. The display is context-dependent by reflecting identity and distance of people passing by. Hello.Wall can "borrow" other artefacts in order to communicate more detailed information. These mobile devices are called ViewPorts. People can also further interact with the Hello.Wall using ViewPorts via integrated WaveLAN and RFID technology.}},
  author       = {{Prante, Thorsten and Röcker, Carsten and Streitz, Norbert and Stenzel, Richard and Magerkurth, Carsten and van Alphen, Daniel and Plewe, D. A.}},
  booktitle    = {{Video Track and Adjunct Proceedings of the Fifth International Conference on Ubiquitous Computing (UBICOMP’03)}},
  editor       = {{Ljungstrand, P. and Brotherton, J.}},
  keywords     = {{Ambient display, informative art, social architectural space, context-dependent, sensor-based  interaction, interactive  wall, interaction  design, mobile  devices, smart  artefacts, ubiquitous computing environment, calm technology}},
  location     = {{Seattle, Washington, USA,}},
  pages        = {{277--278}},
  title        = {{{Hello.Wall – Beyond Ambient Displays}}},
  year         = {{2003}},
}