Automatic texttogesture rule generation for embodied conversational agents
- Automatic texttogesture rule generation for embodied conversational agents
- 황재인; 이명호; 가잔파 알리
- Issue Date
- Computer Animation and Virtual Worlds
- VOL 31, NO 4-5, e1944
- Interactions with embodied conversational agents can be enhanced using humanlike cospeech gestures. Traditionally, rulebased cospeech gesture mapping has been utilized for this purpose. However, the creation of this mapping is laborious and often requires human experts. Moreover, humancreated mapping tends to be limited, therefore prone to generate repeated gestures. In this article, we present an approach to automate the generation of rulebased cospeech gesture mapping from publicly available large video data set without the intervention of human experts. At runtime, word embedding is utilized for rule searching to get the semanticaware, meaningful, and accurate rule. The evaluation indicated that our method achieved comparable performance with the manual map generated by human experts, with a more variety of gestures activated. Moreover, synergy effects were observed in users' perception of generated cospeech gestures when combined with the manual map.
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