Evaluation of a psycholinguistically motivated timing model for animations of american sign language

Authors:
Matt Huenerfauth
Affiliations:
The City University of New York, Queens College, Flushing, NY, USA
Venue:
Proceedings of the 10th international ACM SIGACCESS conference on Computers and accessibility
Year:
2008

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Abstract

Using results in the psycholinguistics literature on the speed and timing of American Sign Language (ASL), we built algorithms to calculate the time-duration of signs and the location/length of pauses during an ASL animation. We conducted a study in which native ASL signers evaluated the ASL animations processed by our algorithms, and we found that: (1) adding linguistically motivated pauses and variations in sign-durations improved signers' performance on a comprehension task and (2) these animations were rated as more understandable by ASL signers.