PSYCH OpenIR
Motive structure underlying the use of intelligent connected vehicles
Lin, Li1; Zhang, Jingyu1; Zhang, Liang1; Cao, Jianqin1; Wang, Jifang2; Luo, Xiaojun2; Wang, Ya2
2020-04
会议名称2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA
会议录名称Conference on Human Factors in Computing Systems - Proceedings
会议日期2020, April 25, 2020 - April 30, 2020
会议地点不详
产权排序1
摘要

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.

收录类别EI
语种英语
文献类型会议论文
条目标识符http://ir.psych.ac.cn/handle/311026/32461
专题中国科学院心理研究所
作者单位1.Institute of Psychology Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China
2.Baidu Intelligent Driving Experience Design Center, Beijing, China
推荐引用方式
GB/T 7714
Lin, Li,Zhang, Jingyu,Zhang, Liang,et al. Motive structure underlying the use of intelligent connected vehicles[C],2020.
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