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See how it feels to move: Relationships between movement characteristics and perception of emotions in dance

Birgitta Burger, Petri Toiviainen

2020Human Technology13 citationsDOIOpen Access PDF

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.

Topics & Concepts

PsychologyMovement (music)PerceptionDanceCognitive psychologyMotion captureMusicalMotion (physics)Set (abstract data type)Music and emotionValence (chemistry)ArousalSocial psychologyComputer scienceAestheticsArtificial intelligenceMusic educationArtMusic historyProgramming languageQuantum mechanicsLiteratureNeurosciencePedagogyVisual artsPhysicsNeuroscience and Music PerceptionMusic and Audio ProcessingMusic Technology and Sound Studies
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