3.8 Article

From manual to automated driving: how does trust evolve?

期刊

THEORETICAL ISSUES IN ERGONOMICS SCIENCE
卷 22, 期 5, 页码 528-554

出版社

TAYLOR & FRANCIS LTD
DOI: 10.1080/1463922X.2020.1830450

关键词

Human-automation interaction; trust in automation; highly automated driving; meta-analysis; driving simulation

资金

  1. VEDECOM Institute, Institute for Energy Transition
  2. French governmental plan Investment for the Future [ANR-10-IEED-0009]

向作者/读者索取更多资源

Technological innovations have brought driving automation closer to reality, but public acceptance of highly automated driving is not yet guaranteed, with trust in vehicle automation playing a crucial role in drivers' behavior and acceptance. This paper aims to present general concepts, theoretical models, and research findings related to trust in automation, and discuss their practical implications.
Technological innovations have made driving automation closer and closer to reality. Despite this, the adoption of highly automated driving by the public is not guaranteed yet, and trust in vehicle automation seems to play an important role in drivers' behaviour and acceptance. The goal of the current paper is to (1) present general concepts related to trust and trust in automation, (2) summarize and compare theoretical models concerning trust in automation proposed in recent years, (3) present a systematic review of studies dealing with trust in automated driving from the driver point of view, and organize these trust-influencing factors following an already established classification, and finally (4) synthetize and discuss the previously presented findings and their practical implications.

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