中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Motive structure underlying the use of intelligent connected vehicles

文献类型:会议论文

作者Lin, Li2; Zhang, Jingyu2; Zhang, Liang2; Cao, Jianqin2; Wang, Jifang1; Luo, Xiaojun1; Wang, Ya1
出版日期2020-04
会议日期2020, April 25, 2020 - April 30, 2020
会议地点不详
英文摘要

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.

产权排序1
会议录Conference on Human Factors in Computing Systems - Proceedings
语种英语
源URL[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.Baidu Intelligent Driving Experience Design Center, Beijing, China
2.Institute of Psychology Chinese Academy of Sciences, University of Chinese Academy of Sciences, 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]. 见:. 不详. 2020, April 25, 2020 - April 30, 2020.

入库方式: OAI收割

来源:心理研究所

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