Investigating the effects of automated driving styles and driver’s driving styles on driver trust, acceptance, and take over behaviors

Zheng Ma, Yiqi Zhang

Research output: Contribution to journalConference articlepeer-review

18 Scopus citations

Abstract

Autonomous Vehicle (AV) technology has the potential to significantly improve driver safety. Unfortunately, driver could be reluctant to ride with AVs due to the lack of trust and acceptance of AV’s driving styles. The present study investigated the impact of driver’s driving style (aggressive/defensive) and the designed driving styles of AVs (aggressive/defensive) on driver's trust, acceptance, and take-over behavior in fully autonomous vehicles. Thirty-two participants were classified into two groups based on their driving styles using the Aggressive Driving Scale and experienced twelve scenarios in either an aggressive AV or a defensive AV. Results revealed that drivers’ trust, acceptance, and takeover frequency were significantly influenced by the interaction effects between AV’s driving style and driver’s driving style. The findings implied that driver’s individual differences should be considered in the design of AV’s driving styles to enhance driver’s trust and acceptance of AVs and reduce undesired take over behaviors.

Original languageEnglish (US)
Pages (from-to)2001-2005
Number of pages5
JournalProceedings of the Human Factors and Ergonomics Society
Volume64
Issue number1
DOIs
StatePublished - 2020
Event64th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2020 - Virtual, Online
Duration: Oct 5 2020Oct 9 2020

All Science Journal Classification (ASJC) codes

  • Human Factors and Ergonomics

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