[Graduate School of Advanced Mathematical Sciences, School of Interdisciplinary Mathematical Sciences] TAKAYAMA Eri, NOMARU Takashi, ANNAKA Yuki, YAMAGISHI Takeru, and Associate Professor WATANABE Keita win the Outstanding Research Award at EC2023
Oct. 30, 2023
At Entertainment Computing 2023 (EC 2023) held at Tokyo University of Technology’s Hachioji Campus, TAKAYAMA Eri (2nd-year Master's student), NOMARU Takashi (4th-year undergraduate student), ANNAKA Yuki, YAMAGISHI Takeru (1st-year Master's student), and Associate Professor WATANABE Keita, all of the Frontier Media Science Program at the Graduate School of Advanced Mathematical Sciences, Department of Frontier Media Science in the School of Interdisciplinary Mathematical Sciences (WATANABE Keita Laboratory) presented their research on "Enhancing the emotion observation method and investigating the analysis approach in the 'Ah-Aloud method'" and won the Outstanding Research Award, which is given to research recognized as outstanding by the judges, based on a comprehensive evaluation of the paper and oral presentation.
This research aimed to establish the "Ah-Aloud Method," a method for real-time emotion observation based on the intonation of the sound "Ah" uttered by the experiencer, as an evaluation experiment for entertainment systems. Experiments were conducted to assess the influence of vocalizing “Ah” on the outcomes and the feasibility of emotion analysis, along with a discussion of appropriate experimental designs and their practicality.
Paper Information:
TAKAYAMA Eri, NOMARU Takashi, ANNAKA Yuki, YAMAGISHI Takeru, and WATANABE Keita: Enhancing the emotion observation method and investigating the analysis approach in the “Ah-Aloud method”
Proceedings of the Entertainment Computing Symposium 2023. pp. 52-61. August 2023
≪Japanese version≫
This research aimed to establish the "Ah-Aloud Method," a method for real-time emotion observation based on the intonation of the sound "Ah" uttered by the experiencer, as an evaluation experiment for entertainment systems. Experiments were conducted to assess the influence of vocalizing “Ah” on the outcomes and the feasibility of emotion analysis, along with a discussion of appropriate experimental designs and their practicality.
Paper Information:
TAKAYAMA Eri, NOMARU Takashi, ANNAKA Yuki, YAMAGISHI Takeru, and WATANABE Keita: Enhancing the emotion observation method and investigating the analysis approach in the “Ah-Aloud method”
Proceedings of the Entertainment Computing Symposium 2023. pp. 52-61. August 2023
≪Japanese version≫
Enhancing the emotion observation method and investigating the analysis approach in the “Ah-Aloud method”
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