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Autonomous Driving: Investigating the Feasibility of Bimodal Take-Over Requests

Author

Listed:
  • Marcel Walch

    (Institute of Media Informatics, Ulm University, Ulm, Germany)

  • Kristin Mühl

    (Institute of Psychology and Education, Department of Human Factors, Ulm University, Ulm, Germany)

  • Martin Baumann

    (Institute of Psychology and Education, Department of Human Factors, Ulm University, Ulm, Germany)

  • Michael Weber

    (Institute of Media Informatics, Ulm University, Ulm, Germany)

Abstract

Autonomous vehicles will need de-escalation strategies to compensate when reaching system limitations. Car-driver handovers can be considered one possible method to deal with system boundaries. The authors suggest a bimodal (auditory and visual) handover assistant based on user preferences and design principles for automated systems. They conducted a driving simulator study with 30 participants to investigate the take-over performance of drivers. In particular, the authors examined the effect of different warning conditions (take-over request only with 4 and 6 seconds time budget vs. an additional pre-cue, which states why the take-over request will follow) in different hazardous situations. Their results indicated that all warning conditions were feasible in all situations, although the short time budget (4 seconds) was rather challenging and led to a less safe performance. An alert ahead of a take-over request had the positive effect that the participants took over and intervened earlier in relation to the appearance of the take-over request. Overall, the authors' evaluation showed that bimodal warnings composed of textual and iconographic visual displays accompanied by alerting jingles and spoken messages are a promising approach to alert drivers and to ask them to take over.

Suggested Citation

  • Marcel Walch & Kristin Mühl & Martin Baumann & Michael Weber, 2017. "Autonomous Driving: Investigating the Feasibility of Bimodal Take-Over Requests," International Journal of Mobile Human Computer Interaction (IJMHCI), IGI Global, vol. 9(2), pages 58-74, April.
    • Handle: RePEc:igg:jmhci0:v:9:y:2017:i:2:p:58-74
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    Cited by:

    1. José Fernando Sabando Cárdenas & Jong Gyu Shin & Sang Ho Kim, 2020. "A Few Critical Human Factors for Developing Sustainable Autonomous Driving Technology," Sustainability, MDPI, vol. 12(7), pages 1-16, April.
    2. Arakawa, Toshiya & Hibi, Ryosuke & Fujishiro, Taka-aki, 2019. "Psychophysical assessment of a driver’s mental state in autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 587-610.

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