Forecasting the evolution of urban mobility: The influence of anthropomorphism and social responsiveness in the transition from human to automated driving
{"title":"Forecasting the evolution of urban mobility: The influence of anthropomorphism and social responsiveness in the transition from human to automated driving","authors":"Min Wu , Kum Fai Yuen , Kevin X. Li","doi":"10.1016/j.techsoc.2024.102727","DOIUrl":null,"url":null,"abstract":"<div><div>The transition to automated driving has prompted efforts to anthropomorphize urban transportation, aiming to replicate traditional driver-pedestrian interactions and enhance safety when human drivers are absent. However, prior research on anthropomorphism has shown inconsistency, potentially hindering its practical implementation in pedestrian-vehicle interactions. This study addressed these inconsistencies by examining the contingent role of social responsiveness. Using a 2 × 2 between-subjects experimental design, this study investigated the crossover interaction effects of anthropomorphism and social responsiveness on pedestrian-vehicle interactions at urban crossings. Two sequential studies were conducted: Study 1 examined the crossover interaction effects on cognitive factors and behavioral consequences (responsibility attribution and behavioral intention). Study 2 delved into the underlying mechanisms and contingencies of these interactions. Results reveal: (1) combining anthropomorphism and social responsiveness is crucial for effective pedestrian crossing and communication in the absence of human drivers; (2) the positive effects of this combination on responsibility attribution and behavioral intention are mediated by cognitive factors; and (3) non-responsive humanoid vehicles may not measure up to non-responsive, non-humanoid vehicles, yet responsive humanoid vehicles can outperform responsive, non-humanoid vehicles. These findings support the theory and guide the development of secure, interactive designs for the next generation of urban mobility in the transition to automated driving.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102727"},"PeriodicalIF":10.1000,"publicationDate":"2024-10-04","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/S0160791X24002756","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL ISSUES","Score":null,"Total":0}
引用次数: 0
Abstract
The transition to automated driving has prompted efforts to anthropomorphize urban transportation, aiming to replicate traditional driver-pedestrian interactions and enhance safety when human drivers are absent. However, prior research on anthropomorphism has shown inconsistency, potentially hindering its practical implementation in pedestrian-vehicle interactions. This study addressed these inconsistencies by examining the contingent role of social responsiveness. Using a 2 × 2 between-subjects experimental design, this study investigated the crossover interaction effects of anthropomorphism and social responsiveness on pedestrian-vehicle interactions at urban crossings. Two sequential studies were conducted: Study 1 examined the crossover interaction effects on cognitive factors and behavioral consequences (responsibility attribution and behavioral intention). Study 2 delved into the underlying mechanisms and contingencies of these interactions. Results reveal: (1) combining anthropomorphism and social responsiveness is crucial for effective pedestrian crossing and communication in the absence of human drivers; (2) the positive effects of this combination on responsibility attribution and behavioral intention are mediated by cognitive factors; and (3) non-responsive humanoid vehicles may not measure up to non-responsive, non-humanoid vehicles, yet responsive humanoid vehicles can outperform responsive, non-humanoid vehicles. These findings support the theory and guide the development of secure, interactive designs for the next generation of urban mobility in the transition to automated driving.
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.