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Human Interaction Under Risk in Cyber-Physical Production Systems

  • Philipp Brauner
  • Ralf Philipsen
  • André Calero Valdez
  • Martina Ziefle
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 822)

Abstract

The emergence of cyber-physical production systems poses new challenges for designing the interface between production systems and the human-in-the-loop. In this study, we investigate how human operators interact with risks in a supply chain scenario. We varied the financial magnitude and the expected value of the decisions, the combination of two types of risk (risk in delivery amount and risk in timeliness), as well as three different task displays as within-subject factors. As explanatory user factors we studied the influence of Need for Achievement and the Attitude towards Risk-taking on the dependent variables task speed and accuracy. Results of the user study with 33 participants show that each of the investigated factors either influences decision speed, decision accuracy, or both. Consequently, the human-in-the-loop profits from adequate decision support systems that help to increase decision efficiency and effectiveness and reduce uncertainty and workload. The article concludes with a research agenda to support the human-in-the-loop in production systems.

Keywords

Decision support systems Cyber-physical production systems Human factors Decision under risk Socio-technical system Risk 

Notes

Acknowledgements

The work is funded by the German Research Foundation (DFG) as part of the German Excellence Initiative and the Cluster of Excellence “Integrative Production Technology for High Wage Countries” (EXC 128). We thank all participants for their willingness to support our study and Lara Mhetawi, Katharina Merkel, Fabian Comanns, and Wiktoria Wilkowska for research support.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Philipp Brauner
    • 1
  • Ralf Philipsen
    • 1
  • André Calero Valdez
    • 1
  • Martina Ziefle
    • 1
  1. 1.Human-Computer Interaction CenterRWTH Aachen UniversityAachenGermany

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