People with severe visual impairments usually have no way of identifying the colors of objects in their environment. While existing smartphone apps can recognize colors and speak them aloud, they require the user to center the object of interest in the camera's field of view, which is challenging for many users. We developed a smartphone app to address this problem that reads aloud the color of the object pointed to by the user's fingertip, without confusion from background colors. We evaluated the app with nine people who are blind, demonstrating the app's effectiveness and suggesting directions for improvements in the future.

JustPoint: Identifying colors with a natural user interface / S. Mascetti, A. Gerino, C. Bernareggi, S. D'Acquisto, M. Ducci, J.M. Coughlan - In: ASSETS '17 : Proceedings[s.l] : ACM, 2017. - ISBN 9781450349260. - pp. 329-330 (( Intervento presentato al 19. convegno International ACM SIGACCESS Conference on Computers and Accessibility tenutosi a Baltimore nel 2017 [10.1145/3132525.3134802].

JustPoint: Identifying colors with a natural user interface

S. Mascetti
Primo
Conceptualization
;
A. Gerino
Secondo
Methodology
;
C. Bernareggi
Methodology
;
2017

Abstract

People with severe visual impairments usually have no way of identifying the colors of objects in their environment. While existing smartphone apps can recognize colors and speak them aloud, they require the user to center the object of interest in the camera's field of view, which is challenging for many users. We developed a smartphone app to address this problem that reads aloud the color of the object pointed to by the user's fingertip, without confusion from background colors. We evaluated the app with nine people who are blind, demonstrating the app's effectiveness and suggesting directions for improvements in the future.
Accessibility systems and tools; Accessibility technologies; Assistive Technology; Color Detection; Computing methodologies → Object recognition; Hand Recognition; Human-centered computing → Empirical studies in accessibility; Mobile computing
Settore INF/01 - Informatica
2017
Special Interest Group on Accessible Computing (ACM SIGACCESS)
Book Part (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/664014
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