Abstract
Searching for the meaning of an unfamiliar sign-language word in a dictionary is difficult for learners, but emerging sign-recognition technology will soon enable users to search by submitting a video of themselves performing the word they recall. However, sign-recognition technology is imperfect, and users may need to search through a long list of possible results when seeking a desired result. To speed this search, we present a hybrid-search approach, in which users begin with a video-based query and then filter the search results by linguistic properties, e.g., handshape. We interviewed 32 ASL learners about their preferences for the content and appearance of the search-results page and filtering criteria. A between-subjects experiment with 20 ASL learners revealed that our hybrid search system outperformed a video-based search system along multiple satisfaction and performance metrics. Our findings provide guidance for designers of video-based sign-language dictionary search systems, with implications for other search scenarios.
Publication
In Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track

Professor at Georgia Institute of Technology

Student at Georgia Institute of Technology

Student at Georgia Institute of Technology

Student at Georgia Institute of Technology

Student at Georgia Institute of Technology

Program Manager at Google

Former Student at Georgia Institute of Technology

Student at Georgia Institute of Technology

Student at Georgia Institute of Technology

Student at Georgia Institute of Technology

Assistant Professor
My research interests include human-computer interaction (HCI), accessibility, and computational social science.

Student at Georgia Institute of Technology

Student at Georgia Institute of Technology

Student at Georgia Institute of Technology

Student at Georgia Institute of Technology

Student at Georgia Institute of Technology

Student at Georgia Institute of Technology

Student at Georgia Institute of Technology

Student at Georgia Institute of Technology

Product Marketing Manager at Google

Senior Developer Relations Engineer at Google

Software Engineer at Google