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Method to Detect Atmosphere in Multi-user Interaction
In multi-user interaction, Embodied Conversational Agents (ECAs) have to detect mental states of each user to interact smoothly and naturally. In addition, mental states of a person may be affected by extrinsic factors, such as states of people around. Physiological indices was useful to understand mental states of a person. However, it was impractical that ECAs measure physiological indices of users. The purpose of this study was whether we could detect intrinsic "involvement, enjoyment, and/or excitement" ("IEE") of a person and extrinsic "IEE" of an atmosphere, by using visual information. In other words, the purpose is to develop a method to detect an atmosphere of "IEE" in multi-user interaction.
| Download Paper | |
| Full Title | Method to Detect Atmosphere of “Involvement, Enjoyment, and/or Excitement” in Multi-user Interaction |
| Year | 2009 |
| Language | English |
| Book | Intelligent Virtual Agents - IVA 2009 |
| Keywords | multi-user interaction, affective interaction, physiological indices |
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