Statistical analysis of human boy movement and group interactions in response to music
| Autor: | Micheline Lesaffre, Marc Leman, Frank Desmet, Leen De Bruyn |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2010 |
| Předmět: |
Dynamic time warping
Context (language use) Body movement Coherence (statistics) Social interaction Social relation humanities Embodiment Music research Mathematics and Statistics Statistical analysis Synchronicity Active listening Analysis of variance Psychology Social psychology Human body movement Cognitive psychology |
| Zdroj: | ADVANCES IN DATA ANALYSIS, DATA HANDLING AND BUSINESS INTELLIGENCE (Studies in Classification Data Analysis and Knowledge Organization) Advances in Data Analysis, Data Handling and Business Intelligence ISBN: 9783642010439 |
| ISSN: | 1431-8814 |
| Popis: | Quantification of time series that relate to physiological data is challenging for empirical music research. Up to now, most studies have focused on time-dependent responses of individual subjects in controlled environments. However, little is known about time-dependent responses of between-subject interactions in an ecological context. This paper provides new findings on the statistical analysis of group synchronicity in response to musical stimuli. Different statistical techniques were applied to time-dependent data obtained from an experiment on embodied listening in individual and group settings. Analysis of inter group synchronicity are described. Dynamic Time Warping (DTW) and Cross Correlation Function (CCF) were found to be valid methods to estimate group coherence of the resulting movements. It was found that synchronicity of movements between individuals (human–human interactions) increases significantly in the social context. Moreover, Analysis of Variance (ANOVA) revealed that the type of music is the predominant factor in both the individual and the social context. |
| Databáze: | OpenAIRE |
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