@misc{13641, abstract = {{The neuro-physiological response to stress has far-reaching implications for learning and memory processes. Here, we examined whether and how the stress-induced release of cortisol, following the socially-evaluated cold pressor test, influenced the acquisition of preferences in an evaluative conditioning (EC) procedure. We found that when the stressor preceded the evaluation phase, cortisol responders showed decreased evaluative conditioning effects. By contrast, impairing effects of a stressor-induced cortisol release before encoding were not found. Moreover, explicit memory was not found to be affected by the stressor or its timing. Implications of the timing-dependent effects of stress-induced cortisol release on EC and the relation between stress and associative memory are discussed.}}, author = {{Halbeisen, Georg and Buttlar, Benjamin and Kamp, Siri-Maria and Walther, Eva}}, booktitle = {{International Journal of Psychophysiology}}, issn = {{1872-7697}}, keywords = {{Affective learning, Socially-evaluated cold pressor test, Free salivary cortisol, Hypothalamus-pituitary-adrenal axis, Evaluative conditioning}}, pages = {{44--52}}, publisher = {{Elsevier BV}}, title = {{{The timing-dependent effects of stress-induced cortisol release on evaluative conditioning}}}, doi = {{10.1016/j.ijpsycho.2020.04.007}}, volume = {{152}}, year = {{2020}}, } @inproceedings{4102, abstract = {{Complexity is a fundamental part of product design and manufacturing today, owing to increased demands for customization and advances in digital design techniques. Assembling and repairing such an enormous variety of components means that workers are cognitively challenged, take longer to search for the relevant information and are prone to making mistakes. Although in recent years deep learning approaches to object recognition have seen rapid advances, the combined potential of deep learning and augmented reality in the industrial domain remains relatively under explored. In this paper we introduce AR-ProMO, a combined hardware/software solution that provides a generalizable assistance system for identifying mistakes during product assembly and repair.}}, author = {{Dhiman, Hitesh and Büttner, Sebastian and Röcker, Carsten and Reisch, Raphael}}, booktitle = {{Proceedings of the 31st Australian Conference on Human-Computer-Interaction (OzCHI'19) : 2nd Dec.-5th Dec. 2019, Perth/Fremantle, WA, Australia}}, isbn = {{978-1-4503-7696-9}}, keywords = {{Augmented Reality, Deep Learning}}, location = {{Perth/Fremantle, WA, Australia}}, pages = {{ 518–522}}, publisher = {{ACM}}, title = {{{Handling Work Complexity with AR/Deep Learning}}}, doi = {{10.1145/3369457.3370919}}, year = {{2019}}, } @inbook{4312, abstract = {{Computer-aided assistance systems are entering the world of work and production. Such systems utilize augmented- and virtual-reality for operator training and live guidance as well as mobile maintenance and support. This is particularly important in the modern production reality of ever-changing products and `lot size one' customization of production.This paper focuses on the application of machine learning approach to extend the functionality of assistance systems. Machine learning provides tools to analyse large amounts of data and extract meaningful information. The goal here is to recognize the movement of an operator which would enable automatic display of instructions relevant to them.We present the challenges facing machine learning applications in human-centered assistance systems and a framework to assess machine learning approaches feasible for this scenario. The approach is assessed on a historical data set and then deployed in a work station for live testing. The post-hoc, or historical, analysis yields promising results. The ad-hoc, or live, analysis is a complex task and the results are affected by multiple factors, most of which are introduced by the human influence.The contribution of this paper is an approach to adapt state- of-the-art machine learning to operator movement recognition with a special focus on approaches to spatial time series data pre-processing. Presented experiment results validate the approach and show that it performs well in a real-world scenario.}}, author = {{Fullen, Marta and Maier, Alexander and Nazarenko, Arthur and Jenderny, Sascha and Röcker, Carsten}}, booktitle = {{2019 IEEE 17th International Conference on Industrial Informatics (INDIN)}}, isbn = {{978-1-7281-2927-3}}, issn = {{2378-363X}}, keywords = {{augmented reality, computer based training, data handling, industrial training, learning (artificial intelligence), time series}}, location = {{Helsinki, Finland,}}, pages = {{296 -- 302}}, publisher = {{IEEE}}, title = {{{Machine Learning for Assistance Systems: Pattern-Based Approach to Online Step Recognition}}}, doi = {{10.1109/INDIN41052.2019.8972122}}, year = {{2019}}, } @inbook{4313, abstract = {{This paper reports on a study (N = 471) exploring the acceptance of video-based home monitoring systems as well as criteria influencing their acceptance. While most participants stated that they would home monitoring solutions under certain conditions, the majority of participants is rather reluctant to use systems that transmit visual and acoustical information to remote medical personnel. Besides age, most user characteristics, which played important roles in technology acceptance research for many years, do not appear to be decisive factors for the acceptance of electronic home-monitoring services.}}, author = {{Röcker, Carsten}}, booktitle = {{Intelligent Human Systems Integration 2019}}, editor = {{Karwowski, Waldemar and Ahram, Tareq}}, isbn = {{978-3-030-11050-5}}, keywords = {{Active assisted living, Electronic homecare, e-health : Video-based monitoring, Technology acceptance, User-centered design, Study}}, location = {{San Diego, California, USA}}, pages = {{551 -- 556}}, publisher = {{Springer}}, title = {{{Exploring the Acceptance of Video-Based Medical Support}}}, doi = {{10.1007/978-3-030-11051-2_83}}, volume = {{903}}, year = {{2019}}, } @inbook{6850, abstract = {{Dieser Beitrag betrachtet die Konzeption und den Einsatz von eTutorien im Rahmen der Hochschullehre. Dabei wird deutlich, dass eTutorien eine E-Learning-Maßnahme darstellen, die in einem bestimmten Kontext eingesetzt werden kann. Dozenten von digitalen Tutorien müssen sich dabei aber neuen Herausforderungen stellen. Das Fehlen von visueller oder akustischer Rückmeldung der Zuhörerschaft ist gewöhnungsbedürftig und muss über ein gut ausgewogenes akustisches Format mit visuellen Elementen kompensiert werden. eTutorien stellen damit eine sinnvolle Ergänzung des klassischen Tutoriums dar. Der Bedarf von nicht-digitalen Ergänzungsveranstaltungen wie z. B. Übungsgruppen und Präsenztutorien ist aber weiterhin gegeben. }}, author = {{von Blanckenburg, Korbinian and Knost, Eike}}, booktitle = {{Lehrexperimente der Hochschulbildung- Didaktische Innovationen aus den Fachdisziplinen}}, editor = {{Schmohl, Tobias and Schäffer, Dennis}}, isbn = {{978-3-7639-6114-6}}, keywords = {{E-Learning, Hochschule, Hochschullehre, Virtuelle Hochschule, Visuelles Medium, Lehrveranstaltung, Tutorium, Online-Angebot, Online-Kurs, Virtuelle Lehre, Digitale Medien, Interaktive Medien, Elektronische Medien, Ostwestfalen-Lippe, Deutschland}}, pages = {{41--46}}, publisher = {{wbv }}, title = {{{Einsatz von eTutorien als komplementäre Lehr- und Lernform}}}, doi = {{ 10.25656/01:18561}}, volume = {{2}}, year = {{2019}}, } @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{9650, abstract = {{In Germany, there is much academic discourse on and scientific inquiry into pedagogical issues of science teaching and learning at the school level. Concepts like ‘Bildung’ (inquiry-based self-formation) or ‘Didaktik’ (instruction-based reflections on teaching) are almost directly associated with institutions or actors rooted in pedagogical departments. Unfortunately, those departments rarely focus on issues of science teaching and learning at the University level – and if they do so, they most often try to apply conceptions and models borrowed from upper or post-secondary education. The few research-based institutions that address specific issues of higher education are commonly fitted out so that they are nowhere near the impacts of research institutions covering teaching methodology in primary or secondary education, for example. Yet from an international perspective, the university as an institution does hold a great potential to improve educational practice in a systematic, cross-disciplinary and research-based way. Around the globe, more and more institutions rely on the notion of scholarship in this context: ‘The improvement of learning and teaching is dependent upon the development of scholarship and research in teaching’ (Prosser & Trigwell, 1999, p. 8). If incorporated at the heart of tertiary education, scholarship could contribute to develop new faculty in the German higher-educational sector. }}, author = {{Schmohl, Tobias}}, booktitle = {{ International Conference New Perspectives in Science Education }}, keywords = {{Scholarship of Teaching and Learning, Scholarship of Academic Development, Higher Education, community building}}, location = {{Florence, Italy}}, publisher = {{libreriauniversitaria.it edizioni}}, title = {{{Towards a New Scholarship of German Science Education}}}, year = {{2018}}, } @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}}, } @misc{811, author = {{Böhl, Freda}}, keywords = {{E-Learning, eLearning}}, pages = {{60}}, publisher = {{Hochschule Ostwestfalen-Lippe}}, title = {{{eLearning in der Hochschullehre: Entwicklung eines Leitfadens für den Studiengang Medienproduktion}}}, year = {{2017}}, } @misc{7592, author = {{Schmohl, Tobias}}, booktitle = {{The Future of Education}}, isbn = {{ ‎ 978-8862928687}}, keywords = {{Scholarship of Academic Development, Scholarship of Teaching and Learning}}, location = {{Florenz}}, pages = {{317--321}}, publisher = {{Libreriauniversitaria.it}}, title = {{{The research—education nexus: Basic premises and practical application of the "Scholarship" movement}}}, volume = {{7}}, 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}}, } @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}}, } @inbook{4375, abstract = {{This chapter starts with an overview of the technical innovations and societal transformation processes we have seen in the last decades and as well as the consequences those changes have for the design of pervasive healthcare systems. Based on this theoretical foundation, emerging design requirements and research challenges are outlined, which are crucial to be addressed when developing future health technologies.}}, author = {{Röcker, Carsten and Ziefle, Martina and Holzinger, Andreas}}, booktitle = {{Pervasive Health}}, editor = {{Holzinger, Andreas and Ziefle, Martina and Röcker, Carsten}}, isbn = {{978-1-4471-6412-8}}, issn = {{1571-5035}}, keywords = {{Pervasive health, Ambient assisted living, E-Health, Trends, Research challenges, Design requirements}}, pages = {{1 -- 17}}, publisher = {{Springer}}, title = {{{From Computer Innovation to Human Integration: Current Trends and Challenges for Pervasive Health Technologies}}}, doi = {{10.1007/978-1-4471-6413-5_1}}, year = {{2014}}, } @article{4377, abstract = {{Within the last years the concept of trust has attracted increased attention in the field of smart home environments. However, little is known about what determines trustworthiness in this context. For this reason the objective was to examine mental models in terms of anthropomorphic perception of smart home environments and its relation to trustworthiness. Two studies (N=36) were carried out in the Future Care Lab, a simulated intelligent home environment. We used the teach-back method to help participants to talk about the smart home environment technology and asked to generate a metaphor of an experienced home-monitoring scenario. Finally, we applied linguistic analysis of responses to detect anthropomorphic characteristics. In general, results demonstrate inspiring metaphors related to the personal assistance system, e.g. "like an airbag…" or "like a family member…", which might be useful for future interface designs and approaches of communication in the context of smart home environments. However, no relation of anthropomorphism and trustworthiness could be found. Therefore, we suggest an anthropomorphic threshold, which should be investigated by using an improved method and trust scale.}}, author = {{Sack, Oliver and Röcker, Carsten}}, issn = {{2368-6103}}, journal = {{International Journal of Virtual Worlds and Human Computer Interaction}}, keywords = {{Smart environment, e-health, user study, mental model, anthropomorphism, metaphor, technology acceptance, trust, evaluation}}, number = {{1}}, pages = {{28 -- 36}}, publisher = {{ Avestia Publishing, International ASET Inc. }}, title = {{{“Like a Family Member Who Takes Care of Me” – Users’ Anthropomorphic Representations and Trustworthiness of Smart Home Environments}}}, doi = {{10.11159/vwhci.2014.004}}, volume = {{2}}, year = {{2014}}, } @article{4384, abstract = {{The number of elderly people requiring long-term care is rising every year. In this context, intelligent environments are often cited as a promising solution for providing personalized medical support in domestic spaces. This paper provides an overview over the most influential approaches in the area of intelligent environments and discusses the problems that might arise through computer-supported care concepts.}}, author = {{Röcker, Carsten}}, issn = {{2010-0248 }}, journal = {{International Journal of Innovation, Management and Technology : IJIMT}}, keywords = {{Intelligent environments, ambient assisted living, e-health, user-centered design.}}, number = {{1}}, pages = {{76 -- 79}}, publisher = {{International Association of Computer Science and Information Technology Press }}, title = {{{Intelligent Environments as a Promising Solution for Addressing Current Demographic Changes}}}, doi = {{10.7763/IJIMT.2013.V4.361 }}, volume = {{4}}, year = {{2013}}, } @article{4391, abstract = {{This paper presents a discussion of current developments in the field of smart medical services. Smart medical services are often cited as a promising solution to support elderly or disabled people. By providing a wide variety of services, they bear an immense potential for revolutionizing the way health services are provided in the future. In general, smart medical services can be clustered into three categories focusing on the detection and prevention of emergency situations, long-term treatment of chronic diseases, and the prevention and early-detection of illnesses. This paper provides an overview over the different types of applications and describes several research demonstrators and prototype systems for each category.}}, author = {{Röcker, Carsten}}, issn = {{2010-3700}}, journal = {{International Journal of Machine Learning and Computing : IJMLC}}, keywords = {{Smart medical services, ambient assisted living, E-healt, intelligent environments, ubiquitous and pervasive computing.}}, number = {{3}}, pages = {{226 -- 230}}, title = {{{Smart Medical Services: A Discussion of State-of-The-Art Approaches}}}, doi = {{10.7763/IJMLC.2012.V2.119 }}, volume = {{2}}, year = {{2012}}, } @inproceedings{4393, abstract = {{Research in the field of technology-supported personal care gained considerable momentum over the last 10 to 15 years. This paper provides a comprehensive overview over state-of-the-art research activities in this field by illustrating major projects and research initiatives as well as highlighting successful approaches to Ambient Assisted Living.}}, author = {{Röcker, Carsten and Ziefle, Martina}}, booktitle = {{2012 International Conference on Future Information Technology and Management Science & Engineering ; Lectute notes in information technology : (LNIT)}}, keywords = {{Smart medical services, ambient assisted living, E-healt, intelligent environments, ubiquitous and pervasive computing}}, location = {{Hong Kong}}, number = {{14}}, pages = {{6 -- 14}}, title = {{{Current Approaches to Ambient Assisted Living}}}, year = {{2012}}, } @inproceedings{4485, abstract = {{Research in the field of Ambient Assisted Living gained considerable momentum over the last decade and the diversity of existing applications is matched by a broad variety of implementation approaches. This paper takes a closer look at existing work in this field and provides a structured overview over state-of-the-art implementation concepts.}}, author = {{Röcker, Carsten}}, booktitle = {{Modeling, Simulation and Control}}, editor = {{Chunxiao, X.}}, keywords = {{Smart medical services, ambient assisted living, E-healt, intelligent environments, ubiquitous and pervasive computing}}, location = {{Singapore}}, pages = {{167--172}}, title = {{{Designing Ambient Assisted Living Applications: An Overview of State-of-the-Art Implementation Concepts}}}, year = {{2011}}, } @misc{9856, abstract = {{According to the Bologna Accord in 2006 the study courses for architecture, urban planning and landscape planning at Kassel university were reformed to a bachelor and master education programme. New courses – so called “modules” were found. One of them “Wahrnehmung und Analyse von Räumen” – “landscape perception and analysis” – is an interdisciplinary course teaching and comparing three different perspectives – those of ecology, social science and landscape planning – on landscape. To manage a high number of students the e-learning platform “Moodle” is used. Also giving an introduction into GIS is a major part of the course. This article – after “landscape perception and analysis” started four years ago – gives an overview of the recent and future development of the course from a teachers perspective.}}, author = {{Leiner, Claas and Stemmer, Boris}}, booktitle = {{gis.Science}}, issn = {{2698-4571}}, keywords = {{Universitarian teaching, GIS, e-learning, bologna process}}, number = {{4}}, pages = {{105–110}}, publisher = {{Wichmann}}, title = {{{Teaching Landscape Planning - Landscape Perception and Analysis}}}, year = {{2011}}, } @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}}, } @inproceedings{6356, author = {{Czwalinna, R. and Wilhelm, Patrick and Lehre, Gerhard and Müller, Ulrich}}, keywords = {{GDL e. V., Bonn, (ISDN 3-931678-04-0)}}, location = {{Berlin}}, title = {{{Vergleich zweier Gefrierverfahren von Stutenmilch hinsichtlich der anschließenden Vakuumgefriertrocknung, Kurzfassung}}}, year = {{2001}}, }