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. © 2013 Springer-Verlag Berlin Heidelberg.
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Kacorri, H., Lu, P., & Huenerfauth, M. (2013). Evaluating facial expressions in american sign language animations for accessible online information. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8009 LNCS, pp. 510–519). Springer Verlag. https://doi.org/10.1007/978-3-642-39188-0_55