Animated conversation: rule-based generation of facial expression, gesture & spoken intonation for multiple conversational agents
Animated conversation: rule-based generation of facial expression, gesture & spoken intonation for multiple conversational agents
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DOI：
10.1145/192161.192272
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发表时间：
1994-07
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影响因子：
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通讯作者：
Justine Cassell;C. Pelachaud;N. Badler;Mark Steedman;Brett Achorn;Tripp Becket;Brett Douville;Scott Prevost;Matthew Stone
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文献类型：
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作者：
Justine Cassell;C. Pelachaud;N. Badler;Mark Steedman;Brett Achorn;Tripp Becket;Brett Douville;Scott Prevost;Matthew Stone
我们描述了一个实现的系统，自动生成和动画多个类人代理之间的对话与适当的和同步的语音，语调，面部表情和手势。对话是由一个对话计划者创建的，它产生文本以及话语的语调。说者/听者关系、文本和语调依次驱动面部表情、嘴唇运动、眼睛注视、头部运动和手臂手势生成器。协调的手臂，手腕和手部运动被调用来创建语义上有意义的手势。在整个过程中，我们将使用实际合成的例子，完全动画对话。
We describe an implemented system which automatically generates and animates conversations between multiple human-like agents with appropriate and synchronized speech, intonation, facial expressions, and hand gestures. Conversation is created by a dialogue planner that produces the text as well as the intonation of the utterances. The speaker/listener relationship, the text, and the intonation in turn drive facial expressions, lip motions, eye gaze, head motion, and arm gestures generators. Coordinated arm, wrist, and hand motions are invoked to create semantically meaningful gestures. Throughout we will use examples from an actual synthesized, fully animated conversation.