Introduction
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.
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Ohmoto, Y., Miyake, T., Nishida, T. (2009). A Method to Detect an Atmosphere of “Involvement, Enjoyment, and/or Excitement” in Multi-user Interaction. In: Ruttkay, Z., Kipp, M., Nijholt, A., Vilhjálmsson, H.H. (eds) Intelligent Virtual Agents. IVA 2009. Lecture Notes in Computer Science(), vol 5773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04380-2_80
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DOI: https://doi.org/10.1007/978-3-642-04380-2_80
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