Research field (3):
Entertainment and game informatics
, Human interfaces and interactions
, Sensitivity (kansei) informatics
Research keywords (5):
HCI
, Music Informatics
, Entertainment Computing
, 感情情報処理
, ゲーム情報学
Research theme for competitive and other funds (21):
2022 - 2025 Development and operation of online teaching materials focused on listening comparisons based on cognitive music theory
2022 - 2025 大規模感情曲線データの収集と分析に関する研究
2019 - 2021 Quantitative Analysis of Expression Design in Piano Performance
2018 - 2021 ピアノ演奏におけるフレージングの意図伝達と個性表出に関する研究
2016 - 2019 Expansion of "PEDB" a Music performance database
2015 - 2018 A survey of usage situation for level design of music generation system based on music experiences and degree of knowledge
2015 - 2017 Statistical Music Modelling and Automation Techniques for Expressive Performance and Accompaniment Generation Capturing Performers' Musicality
2013 - 2016 Research on the game AI that makes human-lile mistakes
2013 - 2016 Autonomous Generation of Human-like Behaviors of Video-Game Agents using Biological Constraints
2012 - 2016 Cooperative behavior in real life after playing a video game
2012 - 2016 Methodology for optimization of human-machine interaction in music performance expression design
片寄 晴弘, 橋田 光代, 飯野 なみ. Emotion Movement Design Annotator による感動デザインの分析 - M. Rigolo のバランス芸を例として-. エンタテインメントコンピューティングシンポジウム2019論文集. 2019. 2019. 267-274
Mitsuyo Hashida, Haruhiro Katayose. A Study of Phrase Structure Perception Using the PEDB Second Edition. Proc. International Symposium on Performance Science (ISPS) 2019. 2019