The purpose of this research is to realize sensory information presentation optimized for each individual's sensory characteristics. To this end, we will develop a machine learning model that quantitatively estimates individual sensory characteristics based on behavioral, physiological, and brain function indices, and develop a sensory information presentation method that is optimized according to the estimated sensory characteristics of each individual.
GRANTS
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ACT-X, Japan Science and Technology Agency, 2022-2025.
PUBLICATIONS
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松本啓吾, 畑田裕二, 加藤路瑛. オノマトペによる主観的感覚想起の差異: 感覚過敏当事者と一般成人の比較. ヒューマンインタフェースシンポジウム2025, pp.15-19, 2025.
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松本啓吾. 自由エネルギー原理とバーチャルリアリティ. 人工知能, Vol.38, No.6, pp.841-846, 2023.
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Keigo Matsumoto and Takuji Narumi. Relationship Between the Sensory Processing Patterns and the Detection Threshold of Curvature Gain. 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), pp. 708-709, 2022.