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HazARdSnap: Gazed-Based Augmentation Delivery for Safe Information Access While Cycling.

Guanghan Zhao, Jason Orlosky, Joseph Gabbard

IEEE Transactions on Visualization and Computer Graphics

|November 16, 2023

Summary

Cyclists can now access cycling data safely with HazARdSnap, an augmented reality system. This technology reduces collisions by overlaying information onto potential hazards, improving cyclist awareness and safety.

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Area of Science:

Human-Computer Interaction
Augmented Reality
Computer Vision

Background:

Cyclists frequently access data like heart rate and navigation, often via bike-mounted devices.
Monitoring this data can divert attention, increasing accident risk from hazards like pedestrians and potholes.

Purpose of the Study:

To introduce HazARdSnap, an augmented reality (AR) system for delivering cycling information.
To enhance cyclist safety by maintaining situational awareness while accessing data.

Main Methods:

Implemented real-time outdoor hazard detection using computer vision and head-mounted display (HMD) data.
Developed an algorithm to overlay cycling information directly onto detected hazards within the user's field of view.

Main Results:

HazARdSnap and forward-fixed AR user interfaces (UIs) enabled cyclists to access virtual information without looking down.
Both AR interfaces significantly reduced collisions with virtual hazards by 51% (HazARdSnap) and 43% (forward-fixed) compared to baseline.

Conclusions:

Augmented reality interfaces can improve cyclist safety by integrating information delivery with hazard perception.
HazARdSnap offers a promising approach to enhance cycling safety through context-aware information display.