Conference Paper/Proceeding/Abstract 638 views 103 downloads
Understanding drivers' trust after software malfunctions and cyber intrusions of digital displays in an automated car
Human Factors in Transportation, Volume: 60, Pages: 320 - 328
Swansea University Authors: Giedre Sabaliauskaite , Siraj Shaikh , Hoang Nguyen
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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...
Published in: | Human Factors in Transportation |
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ISSN: | 2771-0718 |
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AHFE International
2022
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URI: | https://cronfa.swan.ac.uk/Record/cronfa61832 |
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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 MACS 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 Mathematics and Computer Science School COLLEGE CODE MACS 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 |
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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 |
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Human Factors in Transportation |
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10.54941/ahfe1002463 |
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AHFE International |
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Faculty of Science and Engineering |
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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 |
2022-01-01T14:25:31Z |
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11.247077 |