{"title":"部分自动驾驶汽车（PAVs）与完全自动驾驶汽车（FAVs）：采用模式比较研究","authors":"","doi":"10.1016/j.techsoc.2024.102698","DOIUrl":null,"url":null,"abstract":"<div><p>This paper presents a decomposed self-efficacy-based value adoption model (SVAM) to explore user perceptions of partially autonomous vehicles (PAVs) and fully autonomous vehicles (FAVs) and their impacts on adoption intention. Data from 279 participants on Mechanical Turk were analyzed using structural equation modeling and multigroup analysis via SmartPLS4.0. Survey results revealed a preference among respondents for PAVs over FAVs. The analysis showed differential effects of perceived value and self-efficacy regarding PAVs and FAVs, shedding light on why users favored PAVs over more advanced FAVs. Perceived enjoyment was identified as a predominant factor in shaping value perceptions of autonomous vehicles, surpassing utilitarian usefulness. Self-efficacy played a varying driving force in preference for PAVs and FAVs, determined by perceived ease of use and familiarity. The proposed SVAM model offers enhanced insights compared to the technology acceptance model in discerning the adoption patterns between PAVs and FAVs. These findings provide valuable insights regarding factors influencing user perceptions and intentions toward PAVs and FAVs, highlighting the different emphases of technology development and marketing in this domain.</p></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":null,"pages":null},"PeriodicalIF":10.1000,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Partially autonomous vehicles (PAVs) vs. fully autonomous vehicles (FAVs): A comparative study with adoption models\",\"authors\":\"\",\"doi\":\"10.1016/j.techsoc.2024.102698\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This paper presents a decomposed self-efficacy-based value adoption model (SVAM) to explore user perceptions of partially autonomous vehicles (PAVs) and fully autonomous vehicles (FAVs) and their impacts on adoption intention. Data from 279 participants on Mechanical Turk were analyzed using structural equation modeling and multigroup analysis via SmartPLS4.0. Survey results revealed a preference among respondents for PAVs over FAVs. The analysis showed differential effects of perceived value and self-efficacy regarding PAVs and FAVs, shedding light on why users favored PAVs over more advanced FAVs. Perceived enjoyment was identified as a predominant factor in shaping value perceptions of autonomous vehicles, surpassing utilitarian usefulness. Self-efficacy played a varying driving force in preference for PAVs and FAVs, determined by perceived ease of use and familiarity. The proposed SVAM model offers enhanced insights compared to the technology acceptance model in discerning the adoption patterns between PAVs and FAVs. These findings provide valuable insights regarding factors influencing user perceptions and intentions toward PAVs and FAVs, highlighting the different emphases of technology development and marketing in this domain.</p></div>\",\"PeriodicalId\":47979,\"journal\":{\"name\":\"Technology in Society\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":10.1000,\"publicationDate\":\"2024-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Technology in Society\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0160791X2400246X\",\"RegionNum\":1,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SOCIAL ISSUES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technology in Society","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0160791X2400246X","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL ISSUES","Score":null,"Total":0}
Partially autonomous vehicles (PAVs) vs. fully autonomous vehicles (FAVs): A comparative study with adoption models
This paper presents a decomposed self-efficacy-based value adoption model (SVAM) to explore user perceptions of partially autonomous vehicles (PAVs) and fully autonomous vehicles (FAVs) and their impacts on adoption intention. Data from 279 participants on Mechanical Turk were analyzed using structural equation modeling and multigroup analysis via SmartPLS4.0. Survey results revealed a preference among respondents for PAVs over FAVs. The analysis showed differential effects of perceived value and self-efficacy regarding PAVs and FAVs, shedding light on why users favored PAVs over more advanced FAVs. Perceived enjoyment was identified as a predominant factor in shaping value perceptions of autonomous vehicles, surpassing utilitarian usefulness. Self-efficacy played a varying driving force in preference for PAVs and FAVs, determined by perceived ease of use and familiarity. The proposed SVAM model offers enhanced insights compared to the technology acceptance model in discerning the adoption patterns between PAVs and FAVs. These findings provide valuable insights regarding factors influencing user perceptions and intentions toward PAVs and FAVs, highlighting the different emphases of technology development and marketing in this domain.
期刊介绍：
Technology in Society is a global journal dedicated to fostering discourse at the crossroads of technological change and the social, economic, business, and philosophical transformation of our world. The journal aims to provide scholarly contributions that empower decision-makers to thoughtfully and intentionally navigate the decisions shaping this dynamic landscape. A common thread across these fields is the role of technology in society, influencing economic, political, and cultural dynamics. Scholarly work in Technology in Society delves into the social forces shaping technological decisions and the societal choices regarding technology use. This encompasses scholarly and theoretical approaches (history and philosophy of science and technology, technology forecasting, economic growth, and policy, ethics), applied approaches (business innovation, technology management, legal and engineering), and developmental perspectives (technology transfer, technology assessment, and economic development). Detailed information about the journal's aims and scope on specific topics can be found in Technology in Society Briefings, accessible via our Special Issues and Article Collections.
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