@inproceedings{87011b316ba345519ade91ecf612de8a,
title = "Evaluating wrist-based haptic feedback for non-visual target finding and path tracing on a 2D surface",
abstract = "Precisely guiding a blind person's hand can be useful for a range of applications from tracing printed text to learning and understanding shapes and gestures. In this paper, we evaluate wrist-worn haptics as a directional hand guide. We implemented and evaluated the following haptic wristband variations: (1) four versus eight vibromotor designs; (2) vibration from only a single motor at a time versus from two adjacent motors using interpolation. To evaluate our designs, we conducted two studies: Study 1 (N=13, 2 blind) showed that participants could non-visually find targets and trace paths more quickly and accurately with single-motor feedback than with interpolated feedback, particularly when only four motors were used. Study 2 (N=14 blind or visually impaired participants) found that single-motor feedback with four motors was faster, more accurate, and most preferred compared to similar feedback with eight motors. We derive implications for the design of wrist-worn directional haptic feedback and discuss future work.",
keywords = "Accessibility, Blind user, Haptic feedback, Haptic wristband, Wearable computing",
author = "Jonggi Hong and Alisha Pradhan and Froehlich, {Jon E.} and Leah Findlater",
note = "Publisher Copyright: {\textcopyright} 2017 Association for Computing Machinery.; 19th International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS 2017 ; Conference date: 29-10-2017 Through 01-11-2017",
year = "2017",
month = oct,
day = "19",
doi = "10.1145/3132525.3132538",
language = "English (US)",
series = "ASSETS 2017 - Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility",
publisher = "Association for Computing Machinery, Inc",
pages = "210--219",
booktitle = "ASSETS 2017 - Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility",
}