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Pedestrian Detection with Wearable Cameras for the Blind: A Two-way Perspective

Published:23 April 2020Publication History

ABSTRACT

Blind people have limited access to information about their surroundings, which is important for ensuring one's safety, managing social interactions, and identifying approaching pedestrians. With advances in computer vision, wearable cameras can provide equitable access to such information. However, the always-on nature of these assistive technologies poses privacy concerns for parties that may get recorded. We explore this tension from both perspectives, those of sighted passersby and blind users, taking into account camera visibility, in-person versus remote experience, and extracted visual information. We conduct two studies: an online survey with MTurkers (N=206) and an in-person experience study between pairs of blind (N=10) and sighted (N=40) participants, where blind participants wear a working prototype for pedestrian detection and pass by sighted participants. Our results suggest that both of the perspectives of users and bystanders and the several factors mentioned above need to be carefully considered to mitigate potential social tensions.

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  1. Pedestrian Detection with Wearable Cameras for the Blind: A Two-way Perspective

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      • Published in

        cover image ACM Conferences
        CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
        April 2020
        10688 pages
        ISBN:9781450367080
        DOI:10.1145/3313831

        Copyright © 2020 ACM

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        • Published: 23 April 2020

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