A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
See How It Feels to Move : Relationships Between Movement Characteristics and Perception of Emotions in Dance (2020)

Burger, B., & Toiviainen, P. (2020). See How It Feels to Move : Relationships Between Movement Characteristics and Perception of Emotions in Dance. Human Technology, 16(3), 233-256. https://doi.org/10.17011/ht/urn.202011256764

JYU-tekijät tai -toimittajat

Burger, Birgitta
Toiviainen, Petri

Julkaisun tiedot

Julkaisun kaikki tekijät tai toimittajat: Burger, Birgitta; Toiviainen, Petri

Lehti tai sarja: Human Technology

ISSN: 1795-6889

eISSN: 1795-6889

Julkaisuvuosi: 2020

Volyymi: 16

Lehden numero: 3

Artikkelin sivunumerot: 233-256

Kustantaja: Jyväskylän Yliopisto

Kustannuspaikka: Jyväskylä

Julkaisumaa: Suomi

Julkaisun kieli: englanti

DOI: https://doi.org/10.17011/ht/urn.202011256764

Julkaisun avoin saatavuus: Avoimesti saatavilla

Julkaisukanavan avoin saatavuus: Kokonaan avoin julkaisukanava

Julkaisu on rinnakkaistallennettu (JYX): https://jyx.jyu.fi/handle/123456789/72894

Tiivistelmä

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.

YSO-asiasanat: musiikki; tunteet; liike; havainnot

Vapaat asiasanat: music-induced movement; computational movement feature extraction

Liittyvät organisaatiot

Hankkeet, joissa julkaisu on tehty

OKM-raportointi: Kyllä

Raportointivuosi: 2020

JUFO-taso: 1