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Understanding drivers' trust after software malfunctions and cyber intrusions of digital displays in an automated car

William Payre, Jaume Perellomarch, Giedre Sabaliauskaite Orcid Logo, Hesamaldin Jadidbonab, Siraj Shaikh Orcid Logo, Hoang Nguyen Orcid Logo, Stewart Birrell

Human Factors in Transportation, Volume: 60, Pages: 320 - 328

Swansea University Authors: Giedre Sabaliauskaite Orcid Logo, Siraj Shaikh Orcid Logo, Hoang Nguyen Orcid Logo

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DOI (Published version): 10.54941/ahfe1002463

Abstract

The aim of this paper is to examine the effect of explicit (i.e., ransomware) and silent (i.e., no turn signals) automation failures on drivers’ reported levels of trust and perception of risk. In a driving simulator study, 38 participants rode in a conditionally automated vehicle in built-up areas...

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Published in: Human Factors in Transportation
ISSN: 2771-0718
Published: AHFE International 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa61832
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spelling 2022-12-01T13:03:54.2207633 v2 61832 2022-11-09 Understanding drivers' trust after software malfunctions and cyber intrusions of digital displays in an automated car 6a674e2dbda3ec5f20599ce38199a7c3 0000-0003-1183-7001 Giedre Sabaliauskaite Giedre Sabaliauskaite true false 50117e8faac2d0937989e14847105704 0000-0002-0726-3319 Siraj Shaikh Siraj Shaikh true false cb24d5c5080534dc5b5e3390f24dd422 0000-0003-0260-1697 Hoang Nguyen Hoang Nguyen true false 2022-11-09 SCS The aim of this paper is to examine the effect of explicit (i.e., ransomware) and silent (i.e., no turn signals) automation failures on drivers’ reported levels of trust and perception of risk. In a driving simulator study, 38 participants rode in a conditionally automated vehicle in built-up areas and motorways. They all experienced both failures. Not only levels of trust decreased after experiencing the failures, especially after the explicit one, but also some of the scores were low. This could mean cyber-attacks lead to distrust in automated driving, rather than merely decreasing levels of trust. Participants also seemed to differentiate connected driving from automated driving in terms of perception of risk. These results are discussed in the context of cyber intrusions as well as long- and short-term trust. Conference Paper/Proceeding/Abstract Human Factors in Transportation 60 320 328 AHFE International 2771-0718 Trust, Automation, Automotive, Cyber security, Driving, Digital display, Perception of risk 1 1 2022 2022-01-01 10.54941/ahfe1002463 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University This work was supported by the UKRI Trustworthy Autonomous Systems Hub (EP/V00784X/1). 2022-12-01T13:03:54.2207633 2022-11-09T22:41:44.9824977 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science William Payre 1 Jaume Perellomarch 2 Giedre Sabaliauskaite 0000-0003-1183-7001 3 Hesamaldin Jadidbonab 4 Siraj Shaikh 0000-0002-0726-3319 5 Hoang Nguyen 0000-0003-0260-1697 6 Stewart Birrell 7 61832__25973__7fceb60a9f6d4c1d8186d625af571fbf.pdf 61832.pdf 2022-12-01T13:02:44.5111387 Output 2458493 application/pdf Version of Record true The authors of papers published in the AHFE Open Access Proceedings will retain full copyrights as specified by the provisions of the Creative Commons License true eng http://creativecommons.org/licenses/by/4.0/
title Understanding drivers' trust after software malfunctions and cyber intrusions of digital displays in an automated car
spellingShingle Understanding drivers' trust after software malfunctions and cyber intrusions of digital displays in an automated car
Giedre Sabaliauskaite
Siraj Shaikh
Hoang Nguyen
title_short Understanding drivers' trust after software malfunctions and cyber intrusions of digital displays in an automated car
title_full Understanding drivers' trust after software malfunctions and cyber intrusions of digital displays in an automated car
title_fullStr Understanding drivers' trust after software malfunctions and cyber intrusions of digital displays in an automated car
title_full_unstemmed Understanding drivers' trust after software malfunctions and cyber intrusions of digital displays in an automated car
title_sort Understanding drivers' trust after software malfunctions and cyber intrusions of digital displays in an automated car
author_id_str_mv 6a674e2dbda3ec5f20599ce38199a7c3
50117e8faac2d0937989e14847105704
cb24d5c5080534dc5b5e3390f24dd422
author_id_fullname_str_mv 6a674e2dbda3ec5f20599ce38199a7c3_***_Giedre Sabaliauskaite
50117e8faac2d0937989e14847105704_***_Siraj Shaikh
cb24d5c5080534dc5b5e3390f24dd422_***_Hoang Nguyen
author Giedre Sabaliauskaite
Siraj Shaikh
Hoang Nguyen
author2 William Payre
Jaume Perellomarch
Giedre Sabaliauskaite
Hesamaldin Jadidbonab
Siraj Shaikh
Hoang Nguyen
Stewart Birrell
format Conference Paper/Proceeding/Abstract
container_title Human Factors in Transportation
container_volume 60
container_start_page 320
publishDate 2022
institution Swansea University
issn 2771-0718
doi_str_mv 10.54941/ahfe1002463
publisher AHFE International
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 1
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description The aim of this paper is to examine the effect of explicit (i.e., ransomware) and silent (i.e., no turn signals) automation failures on drivers’ reported levels of trust and perception of risk. In a driving simulator study, 38 participants rode in a conditionally automated vehicle in built-up areas and motorways. They all experienced both failures. Not only levels of trust decreased after experiencing the failures, especially after the explicit one, but also some of the scores were low. This could mean cyber-attacks lead to distrust in automated driving, rather than merely decreasing levels of trust. Participants also seemed to differentiate connected driving from automated driving in terms of perception of risk. These results are discussed in the context of cyber intrusions as well as long- and short-term trust.
published_date 2022-01-01T04:20:58Z
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