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Visualizing the Improvement of the Autonomous System: Comparing Three Methods
Zhu, Yukun1,2; Liu, Zhizi3; Sheng, Youyu1,2; Ying, Yi1,2; Zhang, Jingyu1,2
2023
通讯作者邮箱zhang, jingyu
会议名称不详
会议录名称Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
页码587-595
会议日期2023
会议地点不详
产权排序1
摘要

As one important characteristic of an intelligent product is its ability to evolve, system updates have become vital for its success. In addition, a good perception of system updates may improve users’ positive attitudes toward the product and encourage continuous usage. However, how to enhance such perception remains largely under-explored. This study investigated how different visualizations of steering performance improvement can influence people's perception of autonomous vehicles. We measured 120 people's responses to three different types of visualizing methods. The results showed that the line charts were most effective in increasing the perceived improvement of updates, which could further promote users’ satisfaction, purchase, and recommendation intentions. We further discussed how our findings could help design future visualization of system updates.

收录类别EI
语种英语
文献类型会议论文
条目标识符https://ir.psych.ac.cn/handle/311026/46010
专题中国科学院行为科学重点实验室
作者单位1.CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing; 100000, China
2.Department of Psychology, University of the Chinese Academy of Sciences, Beijing; 100000, China
3.Chongqing Changan Automobile Co., Ltd., Chongqing; 400000, China
推荐引用方式
GB/T 7714
Zhu, Yukun,Liu, Zhizi,Sheng, Youyu,et al. Visualizing the Improvement of the Autonomous System: Comparing Three Methods[C],2023:587-595.
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