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Title: What Can My Car Tell Me? Consumer Perceptions of Transparency in Self-Driving Vehicles
Fully autonomous or “self-driving” vehicles are emerging mobility technology with potential benefits over conventional motor vehicles. Proponents argue that the widespread adoption of autonomous vehicles may save countless lives and millions of dollars annually by minimizing the likelihood of deadly vehicle crashes. However, widespread adoption of automated-driving technologies is required to realize such benefits, which research suggests, may be undermined by consumer concerns about vehicle operation transparency. Further, there is insufficient research into consumer perceptions of an autonomous vehicle’s communication and information-sharing behavior, which may impact their likelihood of purchasing one. We conducted a study using a 63-question internet-based survey distributed in the United States to licensed drivers 18 years of age and older (n=996) to examine consumer perceptions of autonomous vehicles across accountability, communication, information sharing, and concerns. Our findings show that consumer perceptions of the four dimensions vary significantly across race, gender, and ability.  more » « less
Award ID(s):
2000187
PAR ID:
10392499
Author(s) / Creator(s):
; ; ;
Date Published:
Journal Name:
2022 IEEE 3rd International Conference on Human-Machine Systems (ICHMS)
Page Range / eLocation ID:
1 to 10
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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