Citation

Momen A, de Visser EJ, Fraune MR, Madison A, Rueben M, Cooley K, Tossell CC. Front. Psychol. 2023; 14: e1129369.

Copyright

(Copyright © 2023, Frontiers Research Foundation)

DOI

10.3389/fpsyg.2023.1129369

PMID

37408965

PMCID

PMC10319128

Abstract

The growing concern about the risk and safety of autonomous vehicles (AVs) has made it vital to understand driver trust and behavior when operating AVs. While research has uncovered human factors and design issues based on individual driver performance, there remains a lack of insight into how trust in automation evolves in groups of people who face risk and uncertainty while traveling in AVs. To this end, we conducted a naturalistic experiment with groups of participants who were encouraged to engage in conversation while riding a Tesla Model X on campus roads. Our methodology was uniquely suited to uncover these issues through naturalistic interaction by groups in the face of a risky driving context. Conversations were analyzed, revealing several themes pertaining to trust in automation: (1) collective risk perception, (2) experimenting with automation, (3) group sense-making, (4) human-automation interaction issues, and (5) benefits of automation. Our findings highlight the untested and experimental nature of AVs and confirm serious concerns about the safety and readiness of this technology for on-road use. The process of determining appropriate trust and reliance in AVs will therefore be essential for drivers and passengers to ensure the safe use of this experimental and continuously changing technology. Revealing insights into social group-vehicle interaction, our results speak to the potential dangers and ethical challenges with AVs as well as provide theoretical insights on group trust processes with advanced technology.

Language: en

Keywords

automated driving systems; autonomous vehicles; contagion; group polarization; self-driving vehicle design features; team mental models; trust calibration; trust propagation