[CHI'19] BBeep: A Sonic Collision Avoidance System for Blind Travellers and Nearby Pedestrians
Publication/Creation DateJanuary 16 2019
DescriptionSeita Kayukawa, Keita Higuchi, João Guerreiro, Shigeo Morishima, Yoichi Sato, Kris Kitani, and Chieko Asakawa. 2019. "BBeep: A Sonic Collision Avoidance System for Blind Travellers and Nearby Pedestrians." In Proc. ACM CHI Conference on Human Factors in Computing Systems (CHI'19).
We present an assistive suitcase system, BBeep, for supporting blind people when walking through crowded environments. BBeep uses pre-emptive sound notifications to help clear a path by alerting both the user and nearby pedestrians about the potential risk of collision. BBeep triggers notifications by tracking pedestrians, predicting their future position in real-time, and provides sound notifications only when it anticipates a future collision. We investigate how different types and timings of sound affect nearby pedestrian behavior. In our experiments, we found that sound emission timing has a significant impact on nearby pedestrian trajectories when compared to different sound types. Based on these findings, we performed a real-world user study at an international airport, where blind participants navigated with the suitcase in crowded areas. We observed that the proposed system significantly reduces the number of imminent collisions.
Date archivedMay 14 2019
Last editedOctober 7 2019
How to cite this entry
Seita Kayukawa, Keita Higuchi, João Guerreiro, Shigeo Morishima, Yoichi Sato, Kris Kitani, Chieko Asakawa, Carnegie Mellon University, The Robotics Institute, The University Of Tokyo, Waseda University. (January 16 2019). "[CHI'19] BBeep: A Sonic Collision Avoidance System for Blind Travellers and Nearby Pedestrians". Association For Computing Machinery, Inc. (ACM). Fabric of Digital Life. https://fabricofdigitallife.com/Detail/objects/3875