Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
10-2021
Abstract
Presentation slides are widely used in occasions such as academic talks and business meetings. Captions placed on slides support deaf and hard of hearing (DHH) people to understand spoken contents, but simultaneously comprehending and associating visual contents on slides and caption text could be challenging. In this paper, we design and develop a visualization technique to highlight and associate chart on a slide and numerical data in caption. We first conduct a small formative study with people with and without hearing impairments to assess the value of the visualization technique using a lo-fidelity video prototype. We then develop Visionary Caption, a visualization technique that uses natural language processing to automatically highlight visual content and numerical phrases, and show the association between them. We present a scenario and personas to showcase the potential utility of Visionary Caption and guide its future development.
Keywords
Accessibility, deaf and hard of hearing, information visualization
Discipline
Graphics and Human Computer Interfaces
Research Areas
Intelligent Systems and Optimization
Publication
ASSETS '21: Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility, Virtual Conference, October 18-21
First Page
1
Last Page
4
ISBN
9781450383066
Identifier
10.1145/3441852.3476539
Publisher
ACM
City or Country
New York
Citation
YIP, Carmen Ji Yan; CHONG, Jie Mi; KWEK, Sin Yee; WANG, Yong; and HARA, Kotaro.
Visionary caption: Improving the accessibility of presentation slides through highlighting visualization. (2021). ASSETS '21: Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility, Virtual Conference, October 18-21. 1-4.
Available at: https://ink.library.smu.edu.sg/sis_research/6752
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/3441852.3476539