BBeep: A Sonic Collision Avoidance System for Blind Travellers and Nearby Pedestrians - Robotics Institute Carnegie Mellon University

BBeep: A Sonic Collision Avoidance System for Blind Travellers and Nearby Pedestrians

Seita Kayukawa, Keita Higuchi, João Guerreiro, Kris Kitani, and Chieko Asakawa
Conference Paper, Proceedings of CHI Conference on Human Factors in Computing Systems (CHI '19), May, 2019

Abstract

We present an assistive suitcase system, BBeep, for supporting blind people when walking through crowded environments. BBeep uses preemptive 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.

BibTeX

@conference{Kayukawa-2019-121344,
author = {Seita Kayukawa and Keita Higuchi and João Guerreiro and Kris Kitani and Chieko Asakawa},
title = {BBeep: A Sonic Collision Avoidance System for Blind Travellers and Nearby Pedestrians},
booktitle = {Proceedings of CHI Conference on Human Factors in Computing Systems (CHI '19)},
year = {2019},
month = {May},
}