Forecasting the evolution of urban mobility: The influence of anthropomorphism and social responsiveness in the transition from human to automated driving

IF 10.1 1区 社会学 Q1 SOCIAL ISSUES Technology in Society Pub Date : 2024-10-04 DOI:10.1016/j.techsoc.2024.102727
Min Wu , Kum Fai Yuen , Kevin X. Li
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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.
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预测城市交通的演变:人类驾驶向自动驾驶过渡过程中拟人化和社会响应的影响
向自动驾驶的过渡促使人们努力将城市交通拟人化,旨在复制传统的驾驶员与行人之间的互动,并在没有人类驾驶员的情况下提高安全性。然而,之前关于拟人化的研究显示出不一致性,这可能会阻碍拟人化在行人与车辆互动中的实际应用。本研究通过考察社会响应性的偶然作用来解决这些不一致问题。本研究采用 2 × 2 受试者间实验设计,调查了拟人化和社会反应性对城市十字路口行人与车辆互动的交叉互动效应。共进行了两项连续研究:研究 1 考察了认知因素和行为后果(责任归因和行为意向)的交叉互动效应。研究 2 探讨了这些互动的内在机制和偶然性。结果显示:(1)在没有人类驾驶员的情况下,结合拟人化和社会响应性对于有效的行人过马路和交流至关重要;(2)这种结合对责任归属和行为意向的积极影响是由认知因素中介的;以及(3)无响应性的仿人车辆可能比不上无响应性的非仿人车辆,但有响应性的仿人车辆却能胜过有响应性的非仿人车辆。这些发现为理论提供了支持,并为向自动驾驶过渡的下一代城市交通的安全互动设计开发提供了指导。
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来源期刊
CiteScore
17.90
自引率
14.10%
发文量
316
审稿时长
60 days
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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