Evaluating Facial Expressions in American Sign Language Animations for Accessible Online Information
- Cite this paper as:
- Kacorri H., Lu P., Huenerfauth M. (2013) Evaluating Facial Expressions in American Sign Language Animations for Accessible Online Information. In: Stephanidis C., Antona M. (eds) Universal Access in Human-Computer Interaction. Design Methods, Tools, and Interaction Techniques for eInclusion. UAHCI 2013. Lecture Notes in Computer Science, vol 8009. Springer, Berlin, Heidelberg
Facial expressions and head movements communicate essential information during ASL sentences. We aim to improve the facial expressions in ASL animations and make them more understandable, ultimately leading to better accessibility of online information for deaf people with low English literacy. This paper presents how we engineer stimuli and questions to measure whether the viewer has seen and understood the linguistic facial expressions correctly. In two studies, we investigate how changing several parameters (the variety of facial expressions, the language in which the stimuli were invented, and the degree of involvement of a native ASL signer in the stimuli design) affects the results of a user evaluation study of facial expressions in ASL animation.
KeywordsAmerican Sign Language accessibility technology for people who are deaf animation natural language generation evaluation user study stimuli
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