Paper Info
Title
Statistical Analysis of Human Body Movement and Group Interactions in Response to Music.
Abstract
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.
Year
DOI
Venue
2008
10.1007/978-3-642-01044-6_36
ADVANCES IN DATA ANALYSIS, DATA HANDLING AND BUSINESS INTELLIGENCE
Keywords
DocType
ISSN
Embodiment,Human body movement,Music research,Social interaction,Statistical analysis
Conference
1431-8814
Citations 
PageRank 
References 
6
0.88
8
Authors
4
Name
Order
Citations
PageRank
Frank Desmet160.88
Marc Leman260.88
Micheline Lesaffre313016.49
Leen De Bruyn460.88