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

Marcel Walch, Kristin Mühl, Martin Baumann and Michael Weber
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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

International Journal of Mobile Human Computer Interaction (IJMHCI), 2017, vol. 9, issue 2, 58-74

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.

Date: 2017
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