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Multimodal Guidance for Enhancing Cyclist Road Awareness
by
Lee, Jee-Hang
, Lin, Wenshuo
, Huang, Tianyang
, Miao, Ning
, Wang, Gang
, Ren, Gang
, Huang, Zhihuang
in
Augmented reality
/ Bicycling
/ Design
/ Driving conditions
/ Effectiveness
/ Efficiency
/ Fatalities
/ Feedback
/ Haptics
/ Hazard identification
/ Lighting
/ Localization
/ Motor vehicles
/ Roads & highways
/ Traffic accidents & safety
/ Traffic control
/ Traffic flow
/ Traffic safety
/ User groups
/ Visual aspects
2025
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Multimodal Guidance for Enhancing Cyclist Road Awareness
by
Lee, Jee-Hang
, Lin, Wenshuo
, Huang, Tianyang
, Miao, Ning
, Wang, Gang
, Ren, Gang
, Huang, Zhihuang
in
Augmented reality
/ Bicycling
/ Design
/ Driving conditions
/ Effectiveness
/ Efficiency
/ Fatalities
/ Feedback
/ Haptics
/ Hazard identification
/ Lighting
/ Localization
/ Motor vehicles
/ Roads & highways
/ Traffic accidents & safety
/ Traffic control
/ Traffic flow
/ Traffic safety
/ User groups
/ Visual aspects
2025
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Do you wish to request the book?
Multimodal Guidance for Enhancing Cyclist Road Awareness
by
Lee, Jee-Hang
, Lin, Wenshuo
, Huang, Tianyang
, Miao, Ning
, Wang, Gang
, Ren, Gang
, Huang, Zhihuang
in
Augmented reality
/ Bicycling
/ Design
/ Driving conditions
/ Effectiveness
/ Efficiency
/ Fatalities
/ Feedback
/ Haptics
/ Hazard identification
/ Lighting
/ Localization
/ Motor vehicles
/ Roads & highways
/ Traffic accidents & safety
/ Traffic control
/ Traffic flow
/ Traffic safety
/ User groups
/ Visual aspects
2025
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Journal Article
Multimodal Guidance for Enhancing Cyclist Road Awareness
2025
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Overview
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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