Eye Movements of Deaf and Hard of Hearing Viewers of Automatic Captions

Authors

Kevin Rathbun, University at Buffalo
Larwan Berke, Rochester Institute of TechnologyFollow
Christopher Caulfield, Rochester Institute of TechnologyFollow
Michael Stinson, Rochester Institute of TechnologyFollow
Matt Huenerfauth, Rochester Institute of TechnologyFollow

Abstract

To compare methods of displaying speech-recognition confidence of automatic captions, we analyzed eye-tracking and response data from deaf or hard of hearing participants viewing videos.

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.

Publication Date

2017

Comments

© 2017 The authors and California State University, Northridge

Document Type

Article

Department, Program, or Center

School of Information (GCCIS)

Recommended Citation

Rathbun, Kevin; Berke, Larwan; Caulfield, Christopher; Stinson, Michael; and Huenerfauth, Matt, "Eye Movements of Deaf and Hard of Hearing Viewers of Automatic Captions" (2017). Journal on Technology and Persons with Disabilities, 5 (), 130-140. Accessed from
https://repository.rit.edu/article/1882

Campus

RIT – Main Campus