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The Impact of Cybersecurity Attacks on Human Trust in Autonomous Vehicle Operations
Cherin Lim1, David Prendez1, Linda Ng Boyle2
1University of Washington, USA.
Human Factors
|September 18, 2024
Summary
Cybersecurity attacks on autonomous vehicles (AVs) severely damage driver trust, even after error-free driving. Security updates did not significantly improve trust repair, highlighting the need for adaptive AI systems.
Area of Science:
- Human-computer interaction
- Cybersecurity
- Autonomous vehicle safety
Background:
- Human trust is essential for autonomous vehicle (AV) adoption.
- Cyberattacks pose a significant risk to AV security and user trust.
- Understanding trust dynamics post-attack is crucial for AV development.
Purpose of the Study:
- To investigate the impact of cybersecurity attacks on human trust in AVs.
- To evaluate the effectiveness of security updates on trust repair.
- To analyze changes in driver behavior following cyberattacks.
Main Methods:
- A driving simulator study with 40 participants.
- Random assignment to 'Experience and Feedback' or 'Experience-Only' groups.
- Baseline, Attack, and Post-Attack drives measuring trust and foot position.
Main Results:
- Cyberattacks significantly reduced human trust in AVs.
- Trust remained low even after an error-free post-attack drive.
- Security updates did not substantially restore trust.
Conclusions:
- Trust in AVs is dynamic and influenced by cybersecurity incidents.
- Autonomous systems need adaptive trust calibration mechanisms post-attack.
- Interaction design is key for rebuilding trust after malicious events.
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