Abstract
As cars are becoming more automated and connected, their vulnerability to cyberattack is also increasing. This research aims to understand how drivers react to a cyber-attack affecting personal data in a connected and automated car. Thirty-seven participants participated in a driving simulator study where a ransomware popped-up on the centre console while driving in automated mode. An inductive content analysis was conducted to examine drivers’ responses to open-ended questions. The analysis showed that participants identified a range of themes including 1) their interpretation of the ransomware displayed on the in-vehicle screen, 2) the expected effects of this message on the vehicle and its components (automated driving system and in-vehicle display) and 3) the attitudes and feelings drivers experienced. Drivers were primarily concerned about the detrimental effects of the ransomware on the automated driving system and road safety, but were less concerned with respect to personal data encryption. When not ignored, the cyberattack negatively affected trust in the automated system and drivers’ emotions
Original language | English |
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Title of host publication | Human interaction & Emerging Technologies (IHIET) |
Subtitle of host publication | Artificial Intelligence & Future Applications |
Editors | Tareq Ahram, Redha Taiar |
Publisher | AHFE Conference |
Pages | 453–460 |
Number of pages | 8 |
Volume | 68 |
ISBN (Print) | 9781958651445 |
DOIs | |
Publication status | Published - 2022 |
Event | 8th International Conference on Human Interaction and Emerging Technologies - Nice, France Duration: 22 Aug 2022 → 24 Aug 2022 https://www.ihiet-cms.org/ |
Conference
Conference | 8th International Conference on Human Interaction and Emerging Technologies |
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Abbreviated title | IHIET 2022 |
Country/Territory | France |
City | Nice |
Period | 22/08/22 → 24/08/22 |
Internet address |
Bibliographical note
© 2022. Published by AHFE Open Access. All rights reserved.This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/),
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited..
Keywords
- Trust
- Automation
- Driving
- Behaviour
- Cyber Security
- Attitudes
- Acceptance
- Failure
- Display
- HMI