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Motive Structure Underlying the Use of Intelligent Connected Vehicles.
Lin, Li1,2; Zhang, Jingyu1,2; Zhang, Liang1,2; Cao, Jianqin1,2; Wang, Jifang3; Luo, Xiaojun3; Wang, Ya3
2020-04-15
Conference NameIn Extended Abstracts of the 2020 CHI Conference (CHI EA ’20).
Source PublicationExtended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA ’20).
Pages1-7
Conference Date2020-04
Conference PlaceIn Extended Abstracts of the 2020 CHI Conference (CHI EA ’20).
PublisherAssociation for Computing Machinery New York, NY, United States
Contribution Rank1
Abstract

Intelligent connected vehicles (ICVs) are the foundation to create an intelligent transport eco-system. While the population of ICV users is gradually increasing, the motives underlying use of ICVs remain unclear. Here, we developed a scale to measure motives for ICV use. Taken the results of explorative factor analysis and confirmatory factor analysis together, we suggested a four-factor model: symbolic, instrumental, affective-self, and affective-other motives. We found that ICV users with different characteristics in age, annual income and driving distance evaluated the importance of motives differently. ICV users who are richer and drive longer distances are more likely to show higher symbolic and affective-self motives. Also, users' symbolic motive grows with age. Finally, we found that symbolic and affective motives correlated highly with social norms and loyalty, while instrumental motives related to perceived control feelings toward operating the vehicle. These findings shed novel insights on how to design ICVs and make related policies.

KeywordIntelligent connected vehicles Motive structure Symbolic motive Instrumental motive Affect-self Affect-others User experience
DOI10.1145/3334480.3382915
ISBN9781450368193
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.psych.ac.cn/handle/311026/31919
Collection中国科学院心理研究所
Corresponding AuthorZhang, Jingyu; Zhang, Liang
Affiliation1.Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China;
2.University of Chinese Academy of Sciences, Beijing, China
3.Baidu Intelligent Driving Experience Design Center, Beijing, China
Corresponding Author AffilicationInstitute of Psychology, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Lin, Li,Zhang, Jingyu,Zhang, Liang,et al. Motive Structure Underlying the Use of Intelligent Connected Vehicles.[C]:Association for Computing Machinery New York, NY, United States,2020:1-7.
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