Who Hacked My Car? Designing Autonomous Vehicles to Support Driver Response to Security Threats
Modern vehicles have evolved into intelligent and autonomous transportation systems, yet such computer-driven developments also create opportunities for unforeseen cyber-security attacks on self-driving cars. These threats may pose critical risks to human lives but there is a considerable lack of understanding in designing vehicle systems to support driver response during rare and hazardous security events. We conducted an interview with autonomous vehicle drivers to understand their perception of automotive threats and design needs for effective response during security events. Results show that drivers expect information relating to malfunction detection, trouble-shooting instructions, and log data from the vehicle. Moreover, drivers were more likely to act based on instincts the more the driver perceives the threat to be urgent, rather than process the situation during the initial stages of an attack. We thus propose a ‘Driver Response Phase’ and corresponding design implications for future vehicles that support user response to security risks.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/21695067
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Supplemental Notes:
- Copyright © 2023 Human Factors and Ergonomics Society.
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Authors:
- Lim, Cherin
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0000-0002-3331-9574
- Rajivan, Prashanth
- Publication Date: 2023-9
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 247-252
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Serial:
- Proceedings of the Human Factors and Ergonomics Society Annual Meeting
- Volume: 67
- Issue Number: 1
- Publisher: Sage Publications, Incorporated
- ISSN: 2169-5067
- EISSN: 1071-1813
- Serial URL: http://journals.sagepub.com/home/pro
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Computer security; Drivers; Human factors; Perception
- Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01908626
- Record Type: Publication
- Files: TRIS
- Created Date: Feb 20 2024 9:25AM