Animated Avatars: A case study in improving the naturalness of Sign Language Avatars

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2023-07-04

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en

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Sign language avatars are computer programs used to convey information through the medium of sign language. We study an existing procedural sign language avatar, CWASA. CWASA was chosen as its is developed by the University of East Anglia under a CC BY-ND 4.0 license and has seen recent use by SignLab Amsterdam and Dutch Railways. CWASA is a procedural avatar, meaning that it uses scripts of sign language phonetics to generate animation. We differ from motion capture approaches in that we seek to improve the naturalness of a procedural avatar’s movements, instead of creating an avatar by adding scriptability to capturedmovements. We explore opportunities for improving the naturalness of CWASA’s movements. To this end, we seek to define naturalness so that we can improve and evaluate it for sign language avatars. We do this by studying sign language literature, analyzing a dataset of video recordings of signing humans, and analyzing the process of writing animation for CWASA. From this exploration, we propose a case study of five improvements to CWASA related to the timing of its movements. We change the avatar’s transition movements to more closely reflect human transition speeds and we implement three different sign language processes that cause sign lengthening. Additionally, we experiment with a different built-in motion controller in CWASA.We evaluate these proposed improvements in a focus group setting with Deaf signers. Despite distractors during the focus group session, we find that most of our improvements are judged favorably. This shows that the use of human motion data and possibly amore human-like signing rhythmcan improve a procedural sign language avatar. Though more research is necessary, our findings show a clear direction forward for the development of low-cost sign language technology. Keywords— sign language avatar, NGT, CWASA, naturalness, sign transitions, prosody, focus group

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Faculteit der Sociale Wetenschappen