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Subjective Stress in Hybrid Collaboration

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Social Robotics (ICSR 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10652))

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Abstract

Hybrid collaboration between human and machine antagonists is currently discussed as the most likely scenario of future manufacturing within the next 10 years because it considers technological developments and preserves human workplaces at the same time. However, not only technical feasibility plays a role in the design of these future collaborations, but also the psychological and social effects must be considered. This paper analyzes the subjective stress level of humans in dependence of the characteristics of robots (2 × 2 design with either an industrial or a humanoid robot that was performing either reliable or faulty). A virtual experiment has been conducted to simulate a collaborative hybrid task, including a pre- and post-survey to test. Results do not show any effect of condition, but significant effects of time. The results suggest that the experiment has generally been perceived as slightly stressful, but the appearance and behavior of the robot has no effect on the subjective stress level.

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Notes

  1. 1.

    The current year of 2017 cannot be evaluated because of the time of the evaluation, but the authors suspect a further increase in the number of publications.

  2. 2.

    A Wizard-of-Oz experiment refers to an experimental setting in which the subject assumes he is communicating with an autonomous system (in the sense of artificial intelligence). In reality, however, the reactions of the system are generated by another person in secret [22].

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Acknowledgments

This work was supported by the German Federal Ministry of Education and Research within the project ELLI (Excellent Teaching and Learning in Engineering Sciences).

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Correspondence to Sarah L. Müller .

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Müller, S.L., Stiehm, S., Jeschke, S., Richert, A. (2017). Subjective Stress in Hybrid Collaboration. In: Kheddar, A., et al. Social Robotics. ICSR 2017. Lecture Notes in Computer Science(), vol 10652. Springer, Cham. https://doi.org/10.1007/978-3-319-70022-9_59

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  • DOI: https://doi.org/10.1007/978-3-319-70022-9_59

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70021-2

  • Online ISBN: 978-3-319-70022-9

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