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https://hdl.handle.net/10356/182384
Title: | Forecasting the evolution of urban mobility: the influence of anthropomorphism and social responsiveness in the transition from human to automated driving | Authors: | Wu, Min Yuen, Kum Fai Li, Kevin X. |
Keywords: | Engineering | Issue Date: | 2024 | Source: | Wu, M., Yuen, K. F. & Li, K. X. (2024). Forecasting the evolution of urban mobility: the influence of anthropomorphism and social responsiveness in the transition from human to automated driving. Technology in Society, 79, 102727-. https://dx.doi.org/10.1016/j.techsoc.2024.102727 | Project: | AISG3-GV-2023-015 | Journal: | Technology in Society | 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. | URI: | https://hdl.handle.net/10356/182384 | ISSN: | 0160-791X | DOI: | 10.1016/j.techsoc.2024.102727 | Schools: | School of Civil and Environmental Engineering | Rights: | © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | CEE Journal Articles |
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