Cherin Lim, Tianhao Xu, Prashanth Rajivan (University of Washington)

Human trust is critical for the adoption and continued use of autonomous vehicles (AVs). Experiencing vehicle failures that stem from security threats to underlying technologies that enable autonomous driving, can significantly degrade drivers’ trust in AVs. It is crucial to understand and measure how security threats to AVs impact human trust. To this end, we conducted a driving simulator study with forty participants who underwent three drives including one that had simulated cybersecurity attacks. We hypothesize drivers’ trust in the vehicle is reflected through drivers’ body posture, foot movement, and engagement with vehicle controls during the drive. To test this hypothesis, we extracted body posture features from each frame in the video recordings, computed skeletal angles, and performed k-means clustering on these values to classify drivers’ foot positions. In this paper, we present an algorithmic pipeline for automatic analysis of body posture and objective measurement of trust that could be used for building AVs capable of trust calibration after security attack events.

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Takami Sato (University of California, Irvine), Yuki Hayakawa (Keio University), Ryo Suzuki (Keio University), Yohsuke Shiiki (Keio University), Kentaro Yoshioka (Keio University), Qi Alfred Chen (University of California, Irvine)

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Asangi Jayatilaka (Centre for Research on Engineering Software Technologies (CREST), The University of Adelaide, School of Computing Technologies, RMIT University), Nalin Asanka Gamagedara Arachchilage (School of Computer Science, The University of Auckland), M. Ali Babar (Centre for Research on Engineering Software Technologies (CREST), The University of Adelaide)

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Qinhong Jiang (Zhejiang University), Yanze Ren (Zhejiang University), Yan Long (University of Michigan), Chen Yan (Zhejiang University), Yumai Sun (University of Michigan), Xiaoyu Ji (Zhejiang University), Kevin Fu (Northeastern University), Wenyuan Xu (Zhejiang University)

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Marina Moore, Aditya Sirish A Yelgundhalli (New York University), Justin Cappos (NYU)

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