@inproceedings{4abcb9b965394a1693c35c802a53d902,
title = "A Social Approach for Autonomous Vehicles: A Robotic Object to Enhance Passengers' Sense of Safety and Trust",
abstract = "One of the central challenges in designing autonomous vehicles concerns passenger trust and sense of safety. This challenge is related to passengers' well-established past experience with non-autonomous vehicles, which leads to concern about the absence of a driver. We explored whether it is possible to address this challenge by designing an interaction with a simple robotic object positioned on the vehicle's dashboard. The robot greeted the passenger, indicated that the vehicle was attentive to its surroundings, and informed the passenger that the drive was about to begin. We evaluated whether the robot's non-verbal behavior would provide the signals and social experience required to support passengers' trust and sense of safety. In an in-person (in-situ) experiment, participants were asked to enter an autonomous vehicle and decide if they were willing to go for a drive. As they entered the vehicle, the robot performed the designed behaviors. We evaluated the participants' considerations and experience while they made their decision. Our findings indicated that participants' trust ratings and safety-related experience were higher than those of a baseline group who did not interact with the robot. Participants also perceived the robot as providing companionship during a lonely experience. We suggest that robotic objects are a promising technology for enhancing passengers' experience in autonomous vehicles.",
keywords = "Autonomous Vehicles, Greeting, Sense of Safety, Social Robots, Trust",
author = "Kumaran, {Srivatsan Chakravarthi} and Toam Bechor and Hadas Erel",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE Computer Society. All rights reserved.; 19th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2024 ; Conference date: 11-03-2024 Through 15-03-2024",
year = "2024",
month = mar,
day = "11",
doi = "10.1145/3610977.3634998",
language = "English",
series = "ACM/IEEE International Conference on Human-Robot Interaction",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "86--95",
booktitle = "HRI 2024 - Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction",
address = "United States",
}