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Driving Behaviour Research for Autonomous Vehicle Interaction Design: A Comprehensive Review and Future Directions.

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Titel: Driving Behaviour Research for Autonomous Vehicle Interaction Design: A Comprehensive Review and Future Directions.
Autoren: Yuan, Xiaofang1 (AUTHOR), Deng, Fenghui1 (AUTHOR), Yao, Xiaoyu1 (AUTHOR), Wu, Yu1 (AUTHOR) wuyu1981@gmail.com
Quelle: International Journal of Human-Computer Interaction. Aug2025, Vol. 41 Issue 16, p10245-10265. 21p.
Schlagwörter: *TECHNOLOGICAL innovations, AUTONOMOUS vehicles, INTERACTION design (Human-computer interaction), UNIVERSITY research, MOTOR vehicle driving, EVALUATION research, INTELLIGENT transportation systems, EVALUATION methodology
Abstract: Despite the crucial role of driving behaviour research in shaping autonomous vehicle interaction design, the current state of their deep integration remains unexplored, constraining the design innovative of autonomous vehicle. This study conducted a systematic review by analysing 320 publications from 2003 to 2023 following PRISMA guidelines. Initially, the research evolution trajectory was depicted through performance analysis, followed by exploring dynamic research themes using scientific mapping. The results reveal the pivotal role of driving behaviour research in fostering innovative practices within autonomous vehicle interaction design and the evolution of thematic content. Three future directions are identified: behaviour insights of diverse interactive entities, all-in-one design solutions, and mixed-reality design evaluation tools. These findings provide practical guidance for utilizing driving behaviour research to foster innovation in AV interaction design, thereby accelerating the socialization of AVs and the transformation towards intelligent mobility. [ABSTRACT FROM AUTHOR]
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Datenbank: Business Source Index
Beschreibung
Abstract:Despite the crucial role of driving behaviour research in shaping autonomous vehicle interaction design, the current state of their deep integration remains unexplored, constraining the design innovative of autonomous vehicle. This study conducted a systematic review by analysing 320 publications from 2003 to 2023 following PRISMA guidelines. Initially, the research evolution trajectory was depicted through performance analysis, followed by exploring dynamic research themes using scientific mapping. The results reveal the pivotal role of driving behaviour research in fostering innovative practices within autonomous vehicle interaction design and the evolution of thematic content. Three future directions are identified: behaviour insights of diverse interactive entities, all-in-one design solutions, and mixed-reality design evaluation tools. These findings provide practical guidance for utilizing driving behaviour research to foster innovation in AV interaction design, thereby accelerating the socialization of AVs and the transformation towards intelligent mobility. [ABSTRACT FROM AUTHOR]
ISSN:10447318
DOI:10.1080/10447318.2024.2432447