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Participant Perception and HMI Preferences During Simulated AV Disengagements

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Advances in Human Factors in Robots and Unmanned Systems (AHFE 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 962))

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Abstract

This study examined drivers’ responses to simulated autonomous technology failures in semi-autonomous vehicles. A population of 40 individuals was tested, considering the following independent variables: age of the driver, speed at disengagement, and time at which the disengagement occurred. Participants received auditory and visual warning at the time of disengagement and were asked to regain control of the vehicle while maneuvering within a S-curve turn. Participants’ perception associated to the estimation of success of the control takeover, estimation of test duration, and estimation of the speed of travel showed poor accuracy. Speed recollection accuracy was lower for older participants, while younger participants showed overconfidence in the assessment of the quality of their control takeover. The employed human-machine interface highlighted concerns on the use of central console displays. Trust in the technology and nervousness to the possibility of a disengagement showed higher levels of anxiety for high speeds.

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Acknowledgements

The authors would like to acknowledge the help from Mr. Sky Eurich, Mrs. Nazanin Nader, and Mrs. Shivangi Agarwal for the data collection process. The contents of this report reflect the views of the authors, who are responsible for the facts and the accuracy of the information presented herein. The report is funded by a grant from the U.S. Department of Transportation’s University Transportation Centers Program (69A3551747127) managed by the Mineta Transportation Institute of San Jose. The U.S. Government assumes no liability for the contents or use thereof.

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Correspondence to Syeda Rizvi .

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Rizvi, S., Favaro, F., Mahmood, S. (2020). Participant Perception and HMI Preferences During Simulated AV Disengagements. In: Chen, J. (eds) Advances in Human Factors in Robots and Unmanned Systems. AHFE 2019. Advances in Intelligent Systems and Computing, vol 962. Springer, Cham. https://doi.org/10.1007/978-3-030-20467-9_4

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