American Sign Language video anonymization to support online participation of Deaf and Hard of Hearing users

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Lee-et-al-2021-ASSETS-PREPRINT.pdf(8.26 MB)
Accepted manuscript
Date
2021-10-17
Authors
Lee, Sooyeon
Glasser, Abraham
Dingman, Becca
Xia, Zhaoyang
Metaxas, Dimitris
Neidle, Carol
Huenerfauth, Matt
Version
Accepted manuscript
OA Version
Citation
S. Lee, A. Glasser, B. Dingman, Z. Xia, D. Metaxas, C. Neidle, M. Huenerfauth. 2021. "American Sign Language Video Anonymization to Support Online Participation of Deaf and Hard of Hearing Users." The 23rd International ACM SIGACCESS Conference on Computers and Accessibility. ASSETS '21: The 23rd International ACM SIGACCESS Conference on Computers and Accessibility. https://doi.org/10.1145/3441852.3471200
Abstract
Without a commonly accepted writing system for American Sign Language (ASL), Deaf or Hard of Hearing (DHH) ASL signers who wish to express opinions or ask questions online must post a video of their signing, if they prefer not to use written English, a language in which they may feel less proficient. Since the face conveys essential linguistic meaning, the face cannot simply be removed from the video in order to preserve anonymity. Thus, DHH ASL signers cannot easily discuss sensitive, personal, or controversial topics in their primary language, limiting engagement in online debate or inquiries about health or legal issues. We explored several recent attempts to address this problem through development of “face swap” technologies to automatically disguise the face in videos while preserving essential facial expressions and natural human appearance. We presented several prototypes to DHH ASL signers (N=16) and examined their interests in and requirements for such technology. After viewing transformed videos of other signers and of themselves, participants evaluated the understandability, naturalness of appearance, and degree of anonymity protection of these technologies. Our study revealed users’ perception of key trade-offs among these three dimensions, factors that contribute to each, and their views on transformation options enabled by this technology, for use in various contexts. Our findings guide future designers of this technology and inform selection of applications and design features.
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