Me, you and the dance : effects of individual differences and social context on music-induced movement
Julkaistu sarjassa
JYU dissertationsTekijät
Päivämäärä
2018Oppiaine
MusiikkitiedeTekijänoikeudet
© The Author & University of Jyväskylä
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Effects of individual differences and social context on music-induced movementJulkaisija
Jyväskylän yliopistoISBN
978-951-39-7590-6ISSN Hae Julkaisufoorumista
2489-9003Julkaisuun sisältyy osajulkaisuja
- Artikkeli I: Carlson, Emily; Burger, Birgitta; London, Justin; Thompson, Marc; Toiviainen, Petri (2016). Conscientiousness and Extraversion relate to responsiveness to tempo in dance. Human Movement Science, 49 (0), 315-325. DOI: 10.1016/j.humov.2016.08.006
- Artikkeli II: Carlson, E., Saari, P., Burger, B., & Toiviainen, P. (2017). Personality and Musical Preference Using Social-Tagging in Excerpt-Selection. Psychomusicology: Music, Mind, and Brain, 27 (3), 203-212. DOI: 10.1037/pmu0000183
- Artikkeli III: Carlson, E., Burger, B., & Toiviainen, P. (2018). Dance Like Someone is Watching : A Social Relations Model Study of Music-Induced Movement. Music and Science, 1, 1-16. DOI: 10.1177/2059204318807846
- Artikkeli IV: Carlson, E., Burger, B., & Toiviainen, P. (2019). Empathy, Entrainment, and Perceived Interaction in Complex Dyadic Dance Movement. Music Perception, 36 (4), 390-405. DOI: 10.1525/mp.2019.36.4.390
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- Väitöskirjat [3559]
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Move the way you feel : effects of musical features, perceived emotions, and personality on music-induced movement
Burger, Birgitta (University of Jyväskylä, 2013) -
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Decoding Individual differences and musical preference via music-induced movement
Agrawal, Yudhik; Carlson, Emily; Toiviainen, Petri; Alluri, Vinoo (Nature Publishing Group, 2022)Movement is a universal response to music, with dance often taking place in social settings. Although previous work has suggested that socially relevant information, such as personality and gender, are encoded in dance ... -
Dance to your own drum : identification of musical genre and individual dancer from motion capture using machine learning
Carlson, Emily; Saari, Pasi; Burger, Birgitta; Toiviainen, Petri (Routledge, 2020)Machine learning has been used to accurately classify musical genre using features derived from audio signals. Musical genre, as well as lower-level audio features of music, have also been shown to influence music-induced ... -
Dance Like Someone is Watching : A Social Relations Model Study of Music-Induced Movement
Carlson, Emily; Burger, Birgitta; Toiviainen, Petri (Sage Publications Ltd., 2018)Although dancing often takes place in social contexts such as a club or party, previous study of such music-induced movement has focused mainly on individuals. The current study explores music-induced movement in a ...
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