@inproceedings{611,
  abstract     = {{Empirical research shows that the informational design of manual assembly systems is becoming increasingly important in the light of growing complexity. Assembly assistance systems supply employees with information according to their needs and individual situation. This article aims to present important principles for the design of informational assembly assistance systems. The empirical basis for these principles is formed by projects involving the introduction of informational assistance systems for assembly work. The trends and design recommendations are explained using a model, which illustrates important associations between the complexity of assembly tasks, the demands on the mental capacity of employees, work productivity and the use of assembly assistance systems.}},
  author       = {{Hinrichsen, Sven and Bornewasser, Manfred}},
  booktitle    = {{Advances in Intelligent Systems and Computing}},
  editor       = {{Karwowski, Waldemar  and Ahram, Tareq}},
  isbn         = {{978-3-030-11050-5}},
  issn         = {{2194-5365}},
  keywords     = {{Assistance systems, Manual assembly, Cognitive ergonomics}},
  location     = {{San Diego, USA}},
  pages        = {{286--292}},
  publisher    = {{Springer International Publishing}},
  title        = {{{How to Design Assembly Assistance Systems}}},
  doi          = {{10.1007/978-3-030-11051-2_44}},
  year         = {{2019}},
}

@article{222,
  abstract     = {{Die Komplexität in der manuellen Montage steigt. In der sog. Mehrprodukt- oder Variantenmontage hat der Beschäftigte permanent zwischen verschiedenen Alternativen auszuwählen. Dies betrifft z.B. zu montierende Teile, Werkzeuge, Fügeverfahren oder Hilfsmittel, die in ganz unterschiedlichen Kombinationen zu verwenden sind. Der Montageprozess wird dadurch aus Sicht des Beschäftigten zu einem kontinuierlichen Auswahlprozess. Dieser stellt zunehmend höhere informatorische und kognitive Anforderungen und steigert die mentale Beanspruchung. Dies hat negative Auswirkungen auf die Arbeitsproduktivität. Informatorische Assistenzsysteme gelten als geeignete Instrumente, moderierenden Einfluss auf diese Entwicklung zu nehmen. Entscheidende Stellgrößen dabei betreffen Fragen, wie komplex die Anforderungen und wie ausgeprägt die subjektiven Ressourcen sowie die mentalen Beanspruchungen sind. Aus diesen Überlegungen werden Empfehlungen zur Gestaltung von informatorischen Assistenzsystemen abgeleitet.}},
  author       = {{Bornewasser, Manfred and Hinrichsen, Sven and Bläsing, Dominic}},
  issn         = {{0340-2444}},
  journal      = {{Zeitschrift für Arbeitswissenschaft}},
  keywords     = {{Complexity, Mental workload, Objective measurement, Informational assistance systems, Cognitive ergonomics}},
  number       = {{4}},
  pages        = {{264--275}},
  publisher    = {{Springer}},
  title        = {{{Informatorische Assistenzsysteme in der manuellen Montage: Ein nützliches Werkzeug zur Reduktion mentaler Beanspruchung?}}},
  doi          = {{https://doi.org/10.1007/s41449-018-0123-x}},
  volume       = {{72}},
  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{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}},
}

@inproceedings{4255,
  abstract     = {{Increasingly, production processes are enabled and controlled by Information Technology (IT), a development being also referred to as “Industry 4.0”. IT thereby contributes to flexible and adaptive production processes, and in this sense factories become “smart factories”. In line with this, IT also more and more supports human workers via various assistance systems. This support aims to both support workers to better execute their tasks and to reduce the effort and time required when working. However, due to the large spectrum of assistance systems, it is hard to acquire an overview and to select an adequate system for a smart factory based on meaningful criteria. We therefore synthesize a set of comparison criteria into a consistent framework and demonstrate the application of our framework by classifying three examples.}},
  author       = {{Fellmann, Michael and Robert, Sebastian and Büttner, Sebastian and Mucha, Henrik 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     = {{Assistance systems, Smart factory, Production processes}},
  location     = {{Reggio, Italy}},
  pages        = {{59--68}},
  publisher    = {{Springer}},
  title        = {{{Towards a Framework for Assistance Systems to Support Work Processes in Smart Factories}}},
  doi          = {{10.1007/978-3-319-66808-6_5}},
  volume       = {{10410}},
  year         = {{2017}},
}

@inproceedings{578,
  abstract     = {{Challenges of companies are presented by an increasing number of product variants or a growing product complexity in combination with a reduction of lot size. Therefore the scope of the work in the field of manual assembly will be more complex. This situation leads to a need of assistance systems. With these systems, the assembly workers will be qualified to execute their work tasks within the requirements. This approach set up on a further implementation of an assistance system at a great device manufacturer. The main focus of this implementation was the technical and functional design of the assistance system, but a successful implementation requires also an active handling of the change process. The purpose of this paper is the presentation of design principles in form of a process model for the implementation of digital assistance systems. The development of the design principles takes place in a participative approach. Executives, work councilsand workers develop the project results together with external project members. Project managers will be able to manage implementation processes with the results and take all the success factors into account.}},
  author       = {{Kleineberg, Tim and Eichelberg, Matthias and Hinrichsen, Sven}},
  booktitle    = {{Production Engineering and Management}},
  editor       = {{Padoano, Elio and Villmer, Franz-Josef}},
  isbn         = {{978-3-946856-01-6}},
  keywords     = {{Assistance systems, Change management, Success factors, Process model}},
  location     = {{Pordenone, Italy}},
  number       = {{1}},
  pages        = {{25--36}},
  title        = {{{Participative Development of an Implementation Process for Worker Assistance Systems}}},
  year         = {{2017}},
}

@inproceedings{584,
  abstract     = {{Due to the continuing trend towards more complexity of products with an increasing number of variants and smaller lot sizes, the assembly often takes place -despite relatively high labor costs in Western industrialized nations -manually or partially automated. An outsourcing or relocation of assembly function abroad is not suitable in most cases.Therefore, it is increasingly important to reduce process variations and waste in manual assembly processes. Assistance systems have the potential, depending on the situation, to assist the worker in his work, to reduce error rate and to increase productivity. In a first part of the paper an overview will be given to different types of assembly assistance systems. Then a morphological chart is developed, which can provide assistance in selecting or comparing assembly assistance systems. With the help of this chart an assembly assistant system is presented. Finally a quick look is taken at further research being done in this area.}},
  author       = {{Hinrichsen, Sven and Riediger, Daniel and Unrau, Alexander}},
  booktitle    = {{Production Engineering and Management}},
  editor       = {{Villmer, Franz-Josef and Padoano, Elio}},
  isbn         = {{978-3-946856-00-9}},
  keywords     = {{Assistance systems, Manual assembly, Morphology}},
  location     = {{Lemgo}},
  number       = {{01}},
  pages        = {{3--14}},
  title        = {{{Assistance Systems in Manual Assembly}}},
  year         = {{2016}},
}

@inproceedings{2128,
  abstract     = {{We present the concept of a perceptive motor in terms of a cyber-physical system (CPS). A model application monitoring a knitting process was developed, where the take-off of the produced fabric is controlled by an electric motor. The idea is to equip a synchronous motor with a smart camera and appropriate image processing hard- and software components. Subsequently, the characteristics of knitted fabric are analysed by machine-learning (ML) methods. Our concept includes motor-current analysis and image processing. The aim is to implement an assistance system for the industrial large circular knitting process. An assistance system will help to shorten the retrofitting process. The concept is based on a low cost hardware approach for a smart camera, and stems from the recent development of image processing applications for mobile devices [1–4].}},
  author       = {{Vukovic, Kristijan and Simonis, Kristina and Dörksen, Helene and Lohweg, Volker}},
  booktitle    = {{Conference on Machine Learning for Cyber-Physical Systems (ML4CPS)}},
  keywords     = {{Assistance System, Euler Number, Synchronous Motor, Image Processing System, Image Processing Method}},
  title        = {{{Efficient Image Processing System for an Industrial Machine Learning Task}}},
  doi          = {{10.1007/978-3-662-48838-6_8}},
  year         = {{2015}},
}

