ABSTRACT
In this study, we discuss a novel expression and comprehension model of the utterance attitude of speaking/hearing during conversations. Humans who participate in conversation display these implicit and explicit attitudes, and use them to understand the other participants in advance of turn-taking. We design abstract animated agents that mimic human turntaking in conversations to confirm the validity of our model. The subjective evaluation tests show that the expressions of the agents are understandable. The model may facilitate turn-taking in human-agent interaction.
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Index Terms
- An utterance attitude model in human-agent communication: from good turn-taking to better human-agent understanding
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