Abstract
Advancements in AI will soon enable tools for providing automatic feedback to American Sign Language (ASL) learners on some aspects of their signing, but there is a need to understand their preferences for submitting videos and receiving feedback. Ten participants in our study were asked to record a few sentences in ASL using software we designed, and we provided manually curated feedback on one sentence in a manner that simulates the output of a future automatic feedback system. Participants responded to interview questions and a questionnaire eliciting their impressions of the prototype. Our initial findings provide guidance to future designers of automatic feedback systems for ASL learners.
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CITATION STYLE
Hassan, S., Lee, S., Metaxas, D., Neidle, C., & Huenerfauth, M. (2022). Understanding ASL Learners’ Preferences for a Sign Language Recording and Automatic Feedback System to Support Self-Study. In ASSETS 2022 - Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility. Association for Computing Machinery, Inc. https://doi.org/10.1145/3517428.3550367
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