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  1. Transactions on Accessible Computing (TACCESS)
  2. ACM Transactions on Accessible Computing (TACCESS) : Volume 8
  3. Issue 1(Special Issue (Part 1) of Papers from ASSETS 2014), January 2016
  4. Tactile Graphics with a Voice
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ACM Transactions on Accessible Computing (TACCESS) : Volume 9
ACM Transactions on Accessible Computing (TACCESS) : Volume 8
Issue 3(Special Issue (Part 2) of Papers from ASSETS 2014), May 2016
Issue 4, May 2016
Issue 1(Special Issue (Part 1) of Papers from ASSETS 2014), January 2016
Introduction to the ASSETS ’14 Special Issue
Scanning for Digital Content: How Blind and Sighted People Perceive Concurrent Speech
Tactile Graphics with a Voice
A Pool of Representative Users for Accessibility Research: Seeing through the Eyes of the Users
Issue 2, January 2016
ACM Transactions on Accessible Computing (TACCESS) : Volume 7
ACM Transactions on Accessible Computing (TACCESS) : Volume 6
ACM Transactions on Accessible Computing (TACCESS) : Volume 5
ACM Transactions on Accessible Computing (TACCESS) : Volume 4
ACM Transactions on Accessible Computing (TACCESS) : Volume 3
ACM Transactions on Accessible Computing (TACCESS) : Volume 2
ACM Transactions on Accessible Computing (TACCESS) : Volume 1

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Tactile Graphics with a Voice

Content Provider ACM Digital Library
Author Bennett, Cynthia L. Milne, Lauren R. Scofield, Jeffrey Ladner, Richard E. Baker, Catherine M. Drapeau, Ryan
Copyright Year 2016
Abstract We discuss the development of Tactile Graphics with a Voice (TGV), a system used to access label information in tactile graphics using QR codes. Blind students often rely on tactile graphics to access textbook images. Many textbook images have a large number of text labels that need to be made accessible. In order to do so, we propose TGV, which uses QR codes to replace the text, as an alternative to Braille. The codes are read with a smartphone application. We evaluated the system with a longitudinal study where 10 blind and low-vision participants completed tasks using three different modes on the smartphone application: (1) no guidance, (2) verbal guidance, and (3) finger-pointing guidance. Our results show that TGV is an effective way to access text in tactile graphics, especially for those blind users who are not fluent in Braille. We also found that preferences varied greatly across the modes, indicating that future work should support multiple modes. We expand upon the algorithms we used to implement the finger pointing, algorithms to automatically place QR codes on documents. We also discuss work we have started on creating a Google Glass version of the application.
Starting Page 1
Ending Page 22
Page Count 22
File Format PDF
ISSN 19367228
e-ISSN 19367236
DOI 10.1145/2854005
Volume Number 8
Issue Number 1
Journal ACM Transactions on Accessible Computing (TACCESS)
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-01-13
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Access technology QR codes Blind Camera Non-visual feedback Tactile graphics Visually impaired
Content Type Text
Resource Type Article
Subject Human-Computer Interaction Computer Science Applications
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