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Group trust dynamics during a risky driving experience in a Tesla Model X
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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319128/ https://www.ncbi.nlm.nih.gov/pubmed/37408965 http://dx.doi.org/10.3389/fpsyg.2023.1129369 |
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author | Momen, Ali de Visser, Ewart J. Fraune, Marlena R. Madison, Anna Rueben, Matthew Cooley, Katrina Tossell, Chad C. |
author_facet | Momen, Ali de Visser, Ewart J. Fraune, Marlena R. Madison, Anna Rueben, Matthew Cooley, Katrina Tossell, Chad C. |
author_sort | Momen, Ali |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10319128 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103191282023-07-05 Group trust dynamics during a risky driving experience in a Tesla Model X Momen, Ali de Visser, Ewart J. Fraune, Marlena R. Madison, Anna Rueben, Matthew Cooley, Katrina Tossell, Chad C. Front Psychol Psychology 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. Frontiers Media S.A. 2023-06-20 /pmc/articles/PMC10319128/ /pubmed/37408965 http://dx.doi.org/10.3389/fpsyg.2023.1129369 Text en Copyright © 2023 Momen, de Visser, Fraune, Madison, Rueben, Cooley and Tossell. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Momen, Ali de Visser, Ewart J. Fraune, Marlena R. Madison, Anna Rueben, Matthew Cooley, Katrina Tossell, Chad C. Group trust dynamics during a risky driving experience in a Tesla Model X |
title | Group trust dynamics during a risky driving experience in a Tesla Model X |
title_full | Group trust dynamics during a risky driving experience in a Tesla Model X |
title_fullStr | Group trust dynamics during a risky driving experience in a Tesla Model X |
title_full_unstemmed | Group trust dynamics during a risky driving experience in a Tesla Model X |
title_short | Group trust dynamics during a risky driving experience in a Tesla Model X |
title_sort | group trust dynamics during a risky driving experience in a tesla model x |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319128/ https://www.ncbi.nlm.nih.gov/pubmed/37408965 http://dx.doi.org/10.3389/fpsyg.2023.1129369 |
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