Multimodal Guidance for Enhancing Cyclist Road Awareness

Road safety for vulnerable road users, particularly cyclists, remains a critical global issue. This study explores the potential of multimodal visual and haptic interaction technologies to improve cyclists’ perception of and responsiveness to their surroundings. Through a systematic evaluation of various visual displays and Haptic Feedback mechanisms, this research aims to identify effective strategies for recognizing and localizing potential traffic hazards. Study 1 examines the design and effectiveness of Visual Feedback, focusing on factors such as feedback type, traffic scenarios, and target locations. Study 2 investigates the integration of Haptic Feedback through wearable vests to enhance cyclists’ awareness of peripheral vehicular activities. By conducting experiments in realistic traffic conditions, this research seeks to develop safety systems that are intuitive, cognitively efficient, and tailored to the needs of diverse user groups. This work advances multimodal interaction design for road safety and aims to contribute to a global reduction in traffic incidents involving vulnerable road users. The findings offer empirical insights for designing effective assistance systems for cyclists and other non-motorized vehicle users, thereby ensuring their safety within complex traffic environments.

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Publication Details

Journal
Electronics
Published
2025-03-28
DOI
https://doi.org/10.3390/electronics14071363
Citations
3
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
7.32
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article

Multimodal Guidance for Enhancing Cyclist Road Awareness

J C Lee, Tianyang Huang, Ning Miao, Zhihuang Huang et al.
3 citations
Electronics
Human-Automation Interaction and Safety
7.32
article

Multimodal Guidance for Enhancing Cyclist Road Awareness

J C Lee, Tianyang Huang, Ning Miao, Zhihuang Huang, Gang Ren, Gang Wang, Wenshuo Lin
article en
3 citations

Abstract

Road safety for vulnerable road users, particularly cyclists, remains a critical global issue. This study explores the potential of multimodal visual and haptic interaction technologies to improve cyclists’ perception of and responsiveness to their surroundings. Through a systematic evaluation of various visual displays and Haptic Feedback mechanisms, this research aims to identify effective strategies for recognizing and localizing potential traffic hazards. Study 1 examines the design and effectiveness of Visual Feedback, focusing on factors such as feedback type, traffic scenarios, and target locations. Study 2 investigates the integration of Haptic Feedback through wearable vests to enhance cyclists’ awareness of peripheral vehicular activities. By conducting experiments in realistic traffic conditions, this research seeks to develop safety systems that are intuitive, cognitively efficient, and tailored to the needs of diverse user groups. This work advances multimodal interaction design for road safety and aims to contribute to a global reduction in traffic incidents involving vulnerable road users. The findings offer empirical insights for designing effective assistance systems for cyclists and other non-motorized vehicle users, thereby ensuring their safety within complex traffic environments.

ElectronicsVol. 14(7)
Korea Institute for Advanced Study (KR), Sangmyung University (KR), Xiamen University of Technology (CN)
Openalex Percentile: Top 4%
Human-Automation Interaction and Safety
7.32
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Multimodal Guidance for Enhancing Cyclist Road Awareness — J C Lee, Tianyang Huang, et al. · Electronics (2025) | TGRS Research Map | TGRS