Examining Visual Semantic Understanding in Blind and Low-Vision Technology Users-Reference-Cited by-同舟云学术

Examining Visual Semantic Understanding in Blind and Low-Vision Technology Users

Published:2021-05-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
language:
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Author:

Potluri Venkatesh¹,Grindeland Tadashi E²,Froehlich Jon E.²,Mankoff Jennifer³

Affiliation:

1. Paul G. Allen School of Computer Science and Engineering University of Washington, United States

2. Paul G. Allen School of Computer Science & Engineering University of Washington, United States

3. Allen School of Computer Science and Engineering University of Washington, United States

Funder

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3411764.3445040

Reference69 articles.

1. NavCog

2. Interviews and Observation of Blind Software Developers at Work to Understand Code Navigation Challenges

3. Apple. 2019. iPhone User Guide. https://support.apple.com/guide/iphone/welcome/ios Apple. 2019. iPhone User Guide. https://support.apple.com/guide/iphone/welcome/ios

4. Apple. 2019. macOS User Guide. https://support.apple.com/guide/mac-help/welcome/mac Apple. 2019. macOS User Guide. https://support.apple.com/guide/mac-help/welcome/mac

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