ICAT-EGVE2022 - Posters and Demos

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https://diglib.eg.org/handle/10.2312/2633253

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Browsing ICAT-EGVE2022 - Posters and Demos by Author "Kitazaki, Michiteru"

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    Sense of Ownership, Self-location, and Gaze Responses in Virtual Rubber Hand Illusion
    (The Eurographics Association, 2022) Komori, Takumi; Ishimoto, Hiroki; Ganesh, Gowrishankar; Sugimoto, Maki; Inami, Masahiko; Kitazaki, Michiteru; Theophilus Teo; Ryota Kondo
    It is known that the illusion of body ownership, like as the rubber hand illusion, affects the proprioceptive sense of body position. In the present study, we investigated whether eye movements and pupil responses to the location where the sense of body ownership was induced were also affected. We presented a virtual left hand on a head mounted display and stroked both the virtual hand and the real left hand with a brush, while a light suddenly appeared on the virtual left hand or empty right space randomly. The participants were asked to move the eyes on the light. We found that the illusory ownership of the virtual hand occurred with proprioceptive self-location drift by the synchronous stroking, but the saccade eye movements and pupil sizes were not affected by the illusory body ownership, suggesting that the gaze responses may be independent from the self-body representation.
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    Sign Language Learning System with Concurrent Shared Avatar Hand in a Virtual Environment: Psychological Evaluation
    (The Eurographics Association, 2022) Katsumata, Yasunobu; Ishimoto, Hiroki; Inoue, Yasuyuki; Kitazaki, Michiteru; Theophilus Teo; Ryota Kondo
    We aimed to develop a sign language learning system using virtual reality to improve learning motivation. Hand movements for twenty words consisted of three letters were recorded with a hand motion capture system (model hand). In the learning system, the participant was asked to mimic the model hand movement while looking at both the model hand and the ''own hand'' in a head mounted display (HMD) with the hand motion capture. The ''own hand'' avatar was either of the real own hand or the shared hand motion, which was made by averaging the participant's hand and the model hand movements. The model hand was presented either in the opposite or same direction as the participant. Participants rated the usability of the system in 2 x 2 (own/shared hand x opposite/same direction) experimental blocked design. We found that the shared hand avatar and the same direction presentation were better than the own hand and the opposite direction presentation, respectively. Thus, the proposed shared hand avatar system with the HMD and hand motion capture could improve sign language learning.