Understanding How Deaf and Hard of Hearing Viewers Visually Explore Captioned Live TV News

Author:

Amin Akhter Al1ORCID,Hassan Saad1ORCID,Lee Sooyeon2ORCID,Huenerfauth Matt3ORCID

Affiliation:

1. Computing and Information Sciences, Rochester Institute of Technology, USA

2. Informatics, New Jersey Institute of Technology, USA

3. School of Information, Rochester Institute of Technology, USA

Funder

National Science Foundation

Publisher

ACM

Reference47 articles.

1. Word Error Rate Estimation for Speech Recognition: e-WER

2. Akhter Al Amin , Abraham Glasser , Raja Kushalnagar , Christian Vogler , and Matt Huenerfauth . 2021. Preferences of Deaf or Hard of Hearing Users for Live-TV Caption Appearance . In Universal Access in Human-Computer Interaction. Access to Media , Learning and Assistive Environments, Margherita Antona and Constantine Stephanidis (Eds.). Springer International Publishing , Cham , 189–201. Akhter Al Amin, Abraham Glasser, Raja Kushalnagar, Christian Vogler, and Matt Huenerfauth. 2021. Preferences of Deaf or Hard of Hearing Users for Live-TV Caption Appearance. In Universal Access in Human-Computer Interaction. Access to Media, Learning and Assistive Environments, Margherita Antona and Constantine Stephanidis (Eds.). Springer International Publishing, Cham, 189–201.

3. Caption-occlusion severity judgments across live-television genres from deaf and hard-of-hearing viewers

4. Akhter Al Amin , Saad Hassan , and Matt Huenerfauth . 2021. Effect of Occlusion on Deaf and Hard of Hearing Users ’ Perception of Captioned Video Quality. In Universal Access in Human-Computer Interaction. Access to Media , Learning and Assistive Environments, Margherita Antona and Constantine Stephanidis (Eds.). Springer International Publishing , Cham , 202–220. Akhter Al Amin, Saad Hassan, and Matt Huenerfauth. 2021. Effect of Occlusion on Deaf and Hard of Hearing Users’ Perception of Captioned Video Quality. In Universal Access in Human-Computer Interaction. Access to Media, Learning and Assistive Environments, Margherita Antona and Constantine Stephanidis (Eds.). Springer International Publishing, Cham, 202–220.

5. Akhter Al Amin , Saad Hassan , Sooyeon Lee , and Matt Huenerfauth . 2022 . Watch It, Don’t Imagine It: Creating a Better Caption-Occlusion Metric by Collecting More Ecologically Valid Judgments from DHH Viewers. In CHI Conference on Human Factors in Computing Systems ( New Orleans, LA, USA) (CHI ’22). Association for Computing Machinery, New York, NY, USA, Article 459, 14 pages. https://doi.org/10.1145/3491102.3517681 10.1145/3491102.3517681 Akhter Al Amin, Saad Hassan, Sooyeon Lee, and Matt Huenerfauth. 2022. Watch It, Don’t Imagine It: Creating a Better Caption-Occlusion Metric by Collecting More Ecologically Valid Judgments from DHH Viewers. In CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI ’22). Association for Computing Machinery, New York, NY, USA, Article 459, 14 pages. https://doi.org/10.1145/3491102.3517681

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