Abstract
In human communication, humans use not only the verbal information but also the nonverbal information to infer others’ intents. To build interpersonal relationships between humans and agents such as robots or CG character, such intention inferring process based on nonverbal information is important. However, it is not clear that which cues of nonverbal information human used to infer an agent’s intent. In this paper, we developed a CG character and designed a simple task to investigate the cues human utilized in intention inference. The intention inference task was as simple as predicting which cup the character would grab. The participants’ gaze points obtained by the eye tracking device were processed to analyze the visual information in the experiment. The results suggested that human tended to gaze at CG character’s eye or face and recognize the gaze of the CG character as intention reference.
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Acknowledgments
This work was supported by JSPS KAKENHI Grant Numbers 22H04871 and ORDIST, Kansai University.
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Yang, L., Sejima, Y., Watanabe, T. (2023). Effects of Gaze on Human Behavior Prediction of Virtual Character for Intention Inference Design. In: Mori, H., Asahi, Y. (eds) Human Interface and the Management of Information. HCII 2023. Lecture Notes in Computer Science, vol 14015. Springer, Cham. https://doi.org/10.1007/978-3-031-35132-7_34
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DOI: https://doi.org/10.1007/978-3-031-35132-7_34
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