@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{4322,
  abstract     = {{This paper presents a test platform for the systematic evaluation of head-mounted displays (HMDs). The focus is on an augmented reality (AR) test application for assembly tasks, which supports tests that are flexible in terms of complexity and scope, thus enabling the realistic assessment of usability, comfort and ergonomics by the test users.}},
  author       = {{Paelke, Volker and Bulk, Jendrik and Röcker, Carsten}},
  booktitle    = {{International Conference on Applied Human Factors and Ergonomics}},
  isbn         = {{978-3-319-94195-0}},
  keywords     = {{Head-Mounted Displays (HMDs), Augmented Reality (AR), Test platform, Evaluation, Assembly}},
  location     = {{Orlando, Florida, USA}},
  pages        = {{25--35}},
  publisher    = {{Springer}},
  title        = {{{A Test Platform for the Evaluation of Augmented Reality Head Mounted Displays in Industrial Applications }}},
  doi          = {{10.1007/978-3-319-94196-7_3}},
  volume       = {{793}},
  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}},
}