Min Zhou , Shuwei Yu , Chuting Zhou , Nan Kong , Kathryn S. Campy
{"title":"导航未来:从最初的试验到逐步适应的自动驾驶出租车的公众接受度的纵向探索","authors":"Min Zhou , Shuwei Yu , Chuting Zhou , Nan Kong , Kathryn S. Campy","doi":"10.1016/j.chb.2025.108678","DOIUrl":null,"url":null,"abstract":"<div><div>The integration of autonomous taxis (ATs) into urban mobility systems faces persistent public acceptance barriers despite rapid technological progress, particularly in emerging economies spearheading smart city transitions. This study addresses this gap through a two-phase longitudinal analysis involving 868 participants across six Chinese megacities designated as national pilot zones for the deployment of AT. Grounded in the Unified Theory of Acceptance and Use of Technology (UTAUT), we incorporate dimensions of human-robot interaction (HRI) and technology anxiety (TA) to address the under-specification of socio-technical barriers in shared autonomous mobility. Structural equation modeling revealed that performance expectancy (β = 0.24), social influence (β = 0.28), and HRI (β = 0.33) were the strongest drivers of behavioral intention, while TA significantly inhibited adoption (β = −0.21). Crucially, HRI mitigated TA effects over time, demonstrating its anxiety-reduction role, a novel theoretical contribution to UTAUT in autonomous mobility contexts. Demographic moderation analysis highlighted that urban male aged 18–30 with bachelor's degrees exhibited stronger HRI effects than rural females over 50, underscoring socioeconomic disparities in acceptance trajectories. This study advances UTAUT by demonstrating how HRI mitigates anxiety in shared autonomous systems, a novel contribution to mobility acceptance research. These insights equip policymakers and manufacturers with phase-specific strategies to accelerate AT integration into urban ecosystems.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"169 ","pages":"Article 108678"},"PeriodicalIF":8.9000,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Navigating the future: A longitudinal exploration of public acceptance of autonomous taxis from initial trials to stepwise habituation\",\"authors\":\"Min Zhou , Shuwei Yu , Chuting Zhou , Nan Kong , Kathryn S. Campy\",\"doi\":\"10.1016/j.chb.2025.108678\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The integration of autonomous taxis (ATs) into urban mobility systems faces persistent public acceptance barriers despite rapid technological progress, particularly in emerging economies spearheading smart city transitions. This study addresses this gap through a two-phase longitudinal analysis involving 868 participants across six Chinese megacities designated as national pilot zones for the deployment of AT. Grounded in the Unified Theory of Acceptance and Use of Technology (UTAUT), we incorporate dimensions of human-robot interaction (HRI) and technology anxiety (TA) to address the under-specification of socio-technical barriers in shared autonomous mobility. Structural equation modeling revealed that performance expectancy (β = 0.24), social influence (β = 0.28), and HRI (β = 0.33) were the strongest drivers of behavioral intention, while TA significantly inhibited adoption (β = −0.21). Crucially, HRI mitigated TA effects over time, demonstrating its anxiety-reduction role, a novel theoretical contribution to UTAUT in autonomous mobility contexts. Demographic moderation analysis highlighted that urban male aged 18–30 with bachelor's degrees exhibited stronger HRI effects than rural females over 50, underscoring socioeconomic disparities in acceptance trajectories. This study advances UTAUT by demonstrating how HRI mitigates anxiety in shared autonomous systems, a novel contribution to mobility acceptance research. These insights equip policymakers and manufacturers with phase-specific strategies to accelerate AT integration into urban ecosystems.</div></div>\",\"PeriodicalId\":48471,\"journal\":{\"name\":\"Computers in Human Behavior\",\"volume\":\"169 \",\"pages\":\"Article 108678\"},\"PeriodicalIF\":8.9000,\"publicationDate\":\"2025-04-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers in Human Behavior\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0747563225001256\",\"RegionNum\":1,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers in Human Behavior","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0747563225001256","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, EXPERIMENTAL","Score":null,"Total":0}
Navigating the future: A longitudinal exploration of public acceptance of autonomous taxis from initial trials to stepwise habituation
The integration of autonomous taxis (ATs) into urban mobility systems faces persistent public acceptance barriers despite rapid technological progress, particularly in emerging economies spearheading smart city transitions. This study addresses this gap through a two-phase longitudinal analysis involving 868 participants across six Chinese megacities designated as national pilot zones for the deployment of AT. Grounded in the Unified Theory of Acceptance and Use of Technology (UTAUT), we incorporate dimensions of human-robot interaction (HRI) and technology anxiety (TA) to address the under-specification of socio-technical barriers in shared autonomous mobility. Structural equation modeling revealed that performance expectancy (β = 0.24), social influence (β = 0.28), and HRI (β = 0.33) were the strongest drivers of behavioral intention, while TA significantly inhibited adoption (β = −0.21). Crucially, HRI mitigated TA effects over time, demonstrating its anxiety-reduction role, a novel theoretical contribution to UTAUT in autonomous mobility contexts. Demographic moderation analysis highlighted that urban male aged 18–30 with bachelor's degrees exhibited stronger HRI effects than rural females over 50, underscoring socioeconomic disparities in acceptance trajectories. This study advances UTAUT by demonstrating how HRI mitigates anxiety in shared autonomous systems, a novel contribution to mobility acceptance research. These insights equip policymakers and manufacturers with phase-specific strategies to accelerate AT integration into urban ecosystems.
期刊介绍:
Computers in Human Behavior is a scholarly journal that explores the psychological aspects of computer use. It covers original theoretical works, research reports, literature reviews, and software and book reviews. The journal examines both the use of computers in psychology, psychiatry, and related fields, and the psychological impact of computer use on individuals, groups, and society. Articles discuss topics such as professional practice, training, research, human development, learning, cognition, personality, and social interactions. It focuses on human interactions with computers, considering the computer as a medium through which human behaviors are shaped and expressed. Professionals interested in the psychological aspects of computer use will find this journal valuable, even with limited knowledge of computers.