Haptic-Captioning: Using Audio-Haptic Interfaces to Enhance Speaker Indication in Real-Time Captions for Deaf and Hard-of-Hearing Viewers

Author:

Wang Yiwen1ORCID,Li Ziming2ORCID,Chelladurai Pratheep Kumar2ORCID,Dannels Wendy3ORCID,Oh Tae2ORCID,Peiris Roshan L2ORCID

Affiliation:

1. College of Information Studies, University of Maryland, United States

2. School of Information, Rochester Institute of Technology, United States

3. NTID Center on Culture and Language, Rochester Institute of Technology, United States

Funder

iSchools Inc.

Publisher

ACM

Reference41 articles.

1. 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.

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

3. Akhter Al Amin , Joseph Mendis , Raja Kushalnagar , Christian Vogler , Sooyeon Lee , and Matt Huenerfauth . 2022. Deaf and Hard of Hearing Viewers ’ Preference for Speaker Identifier Type in Live TV Programming. In Universal Access in Human-Computer Interaction. Access to Media , Learning and Assistive Environments, Margherita Antona and Constantine Stephanidis (Eds.). Springer International Publishing , Cham . https://doi.org/10.1007/978-3-031-05028-2_13 10.1007/978-3-031-05028-2_13 Akhter Al Amin, Joseph Mendis, Raja Kushalnagar, Christian Vogler, Sooyeon Lee, and Matt Huenerfauth. 2022. Deaf and Hard of Hearing Viewers’ Preference for Speaker Identifier Type in Live TV Programming. In Universal Access in Human-Computer Interaction. Access to Media, Learning and Assistive Environments, Margherita Antona and Constantine Stephanidis (Eds.). Springer International Publishing, Cham. https://doi.org/10.1007/978-3-031-05028-2_13

4. Preferred Appearance of Captions Generated by Automatic Speech Recognition for Deaf and Hard-of-Hearing Viewers

5. Deaf and Hard-of-Hearing Perspectives on Imperfect Automatic Speech Recognition for Captioning One-on-One Meetings

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1. Enhancing Non-Speech Information Communicated in Closed Captioning Through Critical Design;The 25th International ACM SIGACCESS Conference on Computers and Accessibility;2023-10-22

2. Exploring the Use of the SoundVizVR Plugin with Game Developers in the Development of Sound-Accessible Virtual Reality Games;Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19

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