Evaluating the Effectiveness of Contact-Analog and Bounding Box Prototypes in Augmented Reality Head-Up Display Warning for Chinese Novice Drivers Under Various Collision Types and Traffic Density
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| Publicat a: | International Journal of Human - Computer Interaction vol. 41, no. 4 (Feb 2025), p. 2677 |
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| Autor principal: | |
| Altres autors: | , , , , |
| Publicat: |
Lawrence Erlbaum Associates, Inc.
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| Matèries: | |
| Accés en línia: | Citation/Abstract |
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|---|---|---|---|
| 001 | 3168495330 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1044-7318 | ||
| 024 | 7 | |a 10.1080/10447318.2024.2327197 |2 doi | |
| 035 | |a 3168495330 | ||
| 045 | 2 | |b d20250201 |b d20250228 | |
| 084 | |a 66286 |2 nlm | ||
| 100 | 1 | |a Chen, Wanting |u Department of Psychology, Zhejiang Sci-Tech University, Hangzhou, China | |
| 245 | 1 | |a Evaluating the Effectiveness of Contact-Analog and Bounding Box Prototypes in Augmented Reality Head-Up Display Warning for Chinese Novice Drivers Under Various Collision Types and Traffic Density | |
| 260 | |b Lawrence Erlbaum Associates, Inc. |c Feb 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Augmented Reality Head-Up Display (AR-HUD) is a promising solution to the current warning system distraction problem. However, how to effectively convey warnings through AR graphics is still unclear. This study examines the effectiveness of the contact-analog graphic compared to the bounding box graphic in various collision types and traffic densities. Forty-eight participants watched AR-augmented driving videos and were instructed to respond to critical events. Reaction time, response rate, and subjective evaluations were compared for rear-end and pedestrian collisions in different traffic densities under different warnings. Both bounding box and contact-analog warnings improved driving performance compared to the non-warning group. The contact-analog warning performed better for rear-end collisions, while the bounding box warning had a lower reaction time for pedestrian collisions, regardless of traffic density. | |
| 653 | |a Warning systems | ||
| 653 | |a Collisions | ||
| 653 | |a Augmented reality | ||
| 653 | |a Performance evaluation | ||
| 653 | |a Traffic volume | ||
| 653 | |a Head-up displays | ||
| 653 | |a Reaction time | ||
| 653 | |a Effectiveness | ||
| 653 | |a Prototypes | ||
| 653 | |a Subjectivity | ||
| 653 | |a Pedestrians | ||
| 653 | |a Distraction | ||
| 653 | |a Traffic | ||
| 653 | |a Critical events | ||
| 653 | |a Reality | ||
| 653 | |a Warnings | ||
| 653 | |a Density | ||
| 653 | |a Augmentation | ||
| 700 | 1 | |a Niu, Liuqiucheng |u Department of Psychology, Zhejiang Sci-Tech University, Hangzhou, China | |
| 700 | 1 | |a Liu, Shan |u Department of Psychology, Zhejiang Sci-Tech University, Hangzhou, China | |
| 700 | 1 | |a Ma, Shu |u Department of Psychology, Zhejiang Sci-Tech University, Hangzhou, China | |
| 700 | 1 | |a Li, Hongting |u Institute of Applied Psychology, College of Education, Zhejiang University of Technology, Hangzhou, China | |
| 700 | 1 | |a Yang, Zhen |u Department of Psychology, Zhejiang Sci-Tech University, Hangzhou, China | |
| 773 | 0 | |t International Journal of Human - Computer Interaction |g vol. 41, no. 4 (Feb 2025), p. 2677 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3168495330/abstract/embedded/J7RWLIQ9I3C9JK51?source=fedsrch |