{"title":"Autonomous driving with an agent: speech style and embodiment","authors":"S. Lee, Harsh Sanghavi, Sangjin Ko, M. Jeon","doi":"10.1145/3349263.3351515","DOIUrl":null,"url":null,"abstract":"A driving agent can be an effective interface to interact with drivers to increase trust towards the autonomous driving vehicle. While driving research on agent has mostly focused on the voice-agent, little empirical findings on the robot-agent were reported. In the present study, we compared three different agents (informative voice-agent, informative robot-agent, and conversational robot-agent) to investigate their effects on driver perception in Level 5 autonomous driving. A driving simulator experiment with an agent was conducted. Twelve drivers experienced a simulated autonomous driving and responded to Godspeed questionnaire, RoSAS questionnaire, and social presence. Drivers rated the conversational robot-agent as significantly more competent, warmer, and providing higher social presence than the other two agents. Interestingly, despite this emotional closeness, drivers' attitude toward the conversational robot-agent was contradictory. They mostly chose the conversational robot-agent as the best option or the worst option. Findings of the present study are meaningful as a first step of exploring the potential of various types of in-vehicle agents in the context of autonomous driving.","PeriodicalId":237150,"journal":{"name":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3349263.3351515","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 26
Abstract
A driving agent can be an effective interface to interact with drivers to increase trust towards the autonomous driving vehicle. While driving research on agent has mostly focused on the voice-agent, little empirical findings on the robot-agent were reported. In the present study, we compared three different agents (informative voice-agent, informative robot-agent, and conversational robot-agent) to investigate their effects on driver perception in Level 5 autonomous driving. A driving simulator experiment with an agent was conducted. Twelve drivers experienced a simulated autonomous driving and responded to Godspeed questionnaire, RoSAS questionnaire, and social presence. Drivers rated the conversational robot-agent as significantly more competent, warmer, and providing higher social presence than the other two agents. Interestingly, despite this emotional closeness, drivers' attitude toward the conversational robot-agent was contradictory. They mostly chose the conversational robot-agent as the best option or the worst option. Findings of the present study are meaningful as a first step of exploring the potential of various types of in-vehicle agents in the context of autonomous driving.