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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Evaluating Facial Expressions in American Sign Language Animations for Accessible Online Information
verfasst von : Hernisa Kacorri, Pengfei Lu, Matt Huenerfauth
Erschienen in: Universal Access in Human-Computer Interaction. Design Methods, Tools, and Interaction Techniques for eInclusion
Verlag: Springer Berlin Heidelberg
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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.