Sign Language Avatars: Animation and Comprehensibility

Many deaf people have significant reading problems. Written content, e.g. on internet pages, is therefore not fully accessible for them. Embodied agents have the potential to communicate in the native language of this cultural group: sign language. However, state-of-the-art systems have limited comprehensibility and standard evaluation methods are missing. In this paper, we present methods and discuss challenges for the creation and evaluation of a signing avatar. We extended the existing EMBR character animation system with prerequisite functionality, created a gloss-based animation tool and developed a cyclic content creation workflow with the help of two deaf sign language experts. For evaluation, we introduce delta testing, a novel way of assessing comprehensibility by comparing avatars with human signers. While our system reached stateof-the-art comprehensibility in a short development time we argue that future research needs to focus on nonmanual aspects and prosody to reach the comprehensibility levels of human signers.