Abstract
At the beginning of verbal interaction, a dialogue’s premise must be shared by demonstrating a talking behavior to another and then talking easily to him/her. In particular, when talking to an unspecified person in a public scene, the other person’s internal state must be estimated concerning the dialogue and an action chosen based on that other person’s state. However, when a communication robot is installed in a public scene, it often passively waits for others to approach it because such approaching and avoiding behaviors that take into account the others in a scene have not been designed. In this study, we develop a computational model (CA model) that can estimate another person’s internal state based on the changes in the body arrangement in relation to the other person and generate behaviors that express consideration of him/her.
This research had been granted by MEXT/JSPS Grant-in-Aid for Scientific Research on Innovative Areas: 20H05559.
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Sakamoto, T., Takeuchi, Y. (2022). Modeling Approach and Avoidance Behavior with Social Considerations for Others in Public Situations. In: Kurosu, M. (eds) Human-Computer Interaction. Technological Innovation. HCII 2022. Lecture Notes in Computer Science, vol 13303. Springer, Cham. https://doi.org/10.1007/978-3-031-05409-9_44
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DOI: https://doi.org/10.1007/978-3-031-05409-9_44
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