Understanding ASL Learners’ Preferences for a Sign Language Recording and Automatic Feedback System to Support Self-Study
Saad S. M. Hassan, Sooyeon Lee, Dimitris Metaxas, Carol Neidle, Matt Huenerfauth · 2022
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.