{"title":"See how it feels to move: Relationships between movement characteristics and perception of emotions in dance","authors":"Birgitta Burger, P. Toiviainen","doi":"10.17011/HT/URN.202011256764","DOIUrl":null,"url":null,"abstract":"Music makes humans move in ways found to relate to, for instance, musical characteristics, personality, or emotional content of the music. In this study, we investigated associations between embodiments of musical emotions and the perception thereof. After collecting motion capture data of dancers moving to emotionally distinct musical stimuli, silent stick-figure animations were rated by a set of observers regarding perceived discrete emotions, while 10 movement features were computationally extracted from the motion capture data. Results indicate kinematic profiles—emotion-specific sets of movement characteristics—that furthermore conform with dimensional models of valence and arousal, suggesting that observers rated the emotions consistently according to distinct movement features prevalent in the animations. Outcomes show commonalities and differences to a previous study that linked these movement features to auditory perception of musical emotion, providing insights into how emotional expression of music-induced movement could be conveyed and understood through auditory and visual channels, respectively.","PeriodicalId":37614,"journal":{"name":"Human Technology","volume":"47 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17011/HT/URN.202011256764","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 3
Abstract
Music makes humans move in ways found to relate to, for instance, musical characteristics, personality, or emotional content of the music. In this study, we investigated associations between embodiments of musical emotions and the perception thereof. After collecting motion capture data of dancers moving to emotionally distinct musical stimuli, silent stick-figure animations were rated by a set of observers regarding perceived discrete emotions, while 10 movement features were computationally extracted from the motion capture data. Results indicate kinematic profiles—emotion-specific sets of movement characteristics—that furthermore conform with dimensional models of valence and arousal, suggesting that observers rated the emotions consistently according to distinct movement features prevalent in the animations. Outcomes show commonalities and differences to a previous study that linked these movement features to auditory perception of musical emotion, providing insights into how emotional expression of music-induced movement could be conveyed and understood through auditory and visual channels, respectively.
期刊介绍:
Human Technology is an interdisciplinary, multiscientific journal focusing on the human aspects of our modern technological world. The journal provides a forum for innovative and original research on timely and relevant topics with the goal of exploring current issues regarding the human dimension of evolving technologies and, then, providing new ideas and effective solutions for addressing the challenges. Focusing on both everyday and professional life, the journal is equally interested in, for example, the social, psychological, educational, cultural, philosophical, cognitive scientific, and communication aspects of human-centered technology. Special attention shall be paid to information and communication technology themes that facilitate and support the holistic human dimension in the future information society.