Research field (7):
Entertainment and game informatics
, Aesthetic practices
, Education - general
, Educational technology
, Aesthetic practices
, Aesthetic practices
, Sensitivity (kansei) informatics
Research theme for competitive and other funds (9):
2022 - 2025 Research on collection and analysis of large-scale emotional curve
2022 - 2025 Development and operation of online teaching materials focused on listening comparisons based on cognitive music theory
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 - 2017 Statistical Music Modelling and Automation Techniques for Expressive Performance and Accompaniment Generation Capturing Performers' Musicality
2015 - 2017 A survey of usage situation for level design of music generation system based on music experiences and degree of knowledge
2012 - 2014 Methodology for optimization of human-machine interaction in music performance expression design
2007 - 2008 演奏デザイン支援を目的としたインタラクティブ表情付けシステムの構築
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Papers (88):
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
Mitsuyo Hashida, Eita Nakamura, Haruhiro Katayose. CrestMusePEDB 2nd EDITION: MUSIC PERFORMANCE DATABASE WITH PHRASE INFORMATION. Proceedings of Sound and Music Computing (SMC) 2018. 2018. 1-6