Beat Perception and Production in Musicians and Dancers

Autor: Tram Nguyen, Riya K. Sidhu, J. Celina Everling, Miranda C. Wickett, Aaron Gibbings, Jessica A. Grahn
Rok vydání: 2022
Předmět:
Zdroj: Music Perception. 39:229-248
ISSN: 1533-8312
0730-7829
DOI: 10.1525/mp.2022.39.3.229
Popis: The ability to perceive and produce a beat is believed to be universal in humans, but individual ability varies. The current study examined four factors that may influence beat perception and production capacity: 1) expertise: music or dance, 2) training style: percussive or nonpercussive, 3) stimulus modality: auditory or visual, and 4) movement type: finger-tap or whole-body bounce. Experiment 1 examined how expertise and training style influenced beat perception and production performance using an auditory beat perception task and a finger-tapping beat production task. Experiment 2 used a similar sample with an audiovisual variant of the beat perception task, and a standing knee-bend (bounce) beat production task to assess whole-body movement. The data showed that: 1) musicians were more accurate in a finger-tapping beat synchronization task compared to dancers and controls, 2) training style did not significantly influence beat perception and production, 3) visual beat information did not benefit any group, and 4) beat synchronization in a full-body movement task was comparable for musicians and dancers; both groups outperformed controls. The current study suggests that the type of task and measured response interacts with expertise, and that expertise effects may be masked by selection of nonoptimal response types.
Databáze: OpenAIRE