@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{4303,
  abstract     = {{The increasing demand to customize products affects production workers in many industries, as assembly tasks become more complex due to higher product variety. Assistive systems providing instructions at the workplace have been proposed to overcome increasing cognitive demand during assembly tasks. Commercially available assistive systems provide spatially registered instructions, either by using in-situ projections or head-mounted displays (HMDs). As there is little empirical knowledge about the individual advantages and disadvantages of both approaches, we are interested in comparing both types of systems. Through a user study at a manual assembly workplace, we compare both approaches to a paper baseline. Our results reveal that both in-situ instructions and paper instructions lead to significantly faster task completion times and significantly fewer errors than HMDs. Using additional questionnaires and interviews, we are able to identify the shortcomings of HMD-based instructions and discuss the possibilities of using flexible in-situ instructions for worker assistance.}},
  author       = {{Büttner, Sebastian and Funk, Markus and Sand, Oliver and Röcker, Carsten}},
  booktitle    = {{9th ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA '16) }},
  isbn         = {{978-1-4503-4337-4}},
  keywords     = {{Spatial Augmented Reality, Industrial Augmented Reality, Projection-based Augmented Reality, Head-Mounted Display, Manufacturing, Assistive System}},
  location     = {{Corfu; Greece }},
  pages        = {{1--8}},
  publisher    = {{ACM}},
  title        = {{{Using Head-Mounted Displays and In-Situ Projection for Assistive Systems : A Comparison}}},
  doi          = {{10.1145/2910674.2910679}},
  year         = {{2016}},
}