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Function-Specific Uncertainty Communication in Automated Driving

Function-Specific Uncertainty Communication in Automated Driving

Alexander Kunze, Stephen J. Summerskill, Russell Marshall, Ashleigh J. Filtness
Copyright: © 2019 |Volume: 11 |Issue: 2 |Pages: 23
ISSN: 1942-390X|EISSN: 1942-3918|EISBN13: 9781522565659|DOI: 10.4018/IJMHCI.2019040105
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MLA

Kunze, Alexander, et al. "Function-Specific Uncertainty Communication in Automated Driving." IJMHCI vol.11, no.2 2019: pp.75-97. http://doi.org/10.4018/IJMHCI.2019040105

APA

Kunze, A., Summerskill, S. J., Marshall, R., & Filtness, A. J. (2019). Function-Specific Uncertainty Communication in Automated Driving. International Journal of Mobile Human Computer Interaction (IJMHCI), 11(2), 75-97. http://doi.org/10.4018/IJMHCI.2019040105

Chicago

Kunze, Alexander, et al. "Function-Specific Uncertainty Communication in Automated Driving," International Journal of Mobile Human Computer Interaction (IJMHCI) 11, no.2: 75-97. http://doi.org/10.4018/IJMHCI.2019040105

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Abstract

Conveying the overall uncertainties of automated driving systems was shown to improve trust calibration and situation awareness, resulting in safer takeovers. However, the impact of presenting the uncertainties of multiple system functions has yet to be investigated. Further, existing research lacks recommendations for visualizing uncertainties in a driving context. The first study outlined in this publication investigated the implications of conveying function-specific uncertainties. The results of the driving simulator study indicate that the effects on takeover performance depends on driving experience, with less experienced drivers benefitting most. Interview responses revealed that workload increments are a major inhibitor of these benefits. Based on these findings, the second study explored the suitability of 11 visual variables for an augmented reality-based uncertainty display. The results show that particularly hue and animation-based variables are appropriate for conveying uncertainty changes. The findings inform the design of all displays that show content varying in urgency.

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