Evaluating wrist-based haptic feedback for non-visual target finding and path tracing on a 2D surface

Jonggi Hong, Alisha Pradhan, Jon E. Froehlich, Leah Findlater

Research output: Chapter in Book/Report/Conference proceedingConference contribution

43 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationASSETS 2017 - Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility
PublisherAssociation for Computing Machinery, Inc
Pages210-219
Number of pages10
ISBN (Electronic)9781450349260
DOIs
StatePublished - Oct 19 2017
Externally publishedYes
Event19th International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS 2017 - Baltimore, United States
Duration: Oct 29 2017Nov 1 2017

Publication series

NameASSETS 2017 - Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility

Conference

Conference19th International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS 2017
Country/TerritoryUnited States
CityBaltimore
Period10/29/1711/1/17

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

Keywords

  • Accessibility
  • Blind user
  • Haptic feedback
  • Haptic wristband
  • Wearable computing

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