@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{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{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{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}},
}