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Statistical analysis of human boy movement and group interactions in response to music

Frank Desmet, Marc Leman UGent, Micheline Lesaffre UGent and Leen De Bruyn UGent (2010) ADVANCES IN DATA ANALYSIS, DATA HANDLING AND BUSINESS INTELLIGENCE (Studies in Classification Data Analysis and Knowledge Organization). p.399-408
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.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (proceedingsPaper)
publication status
published
subject
keyword
Embodiment, Human body movement, Music research, Social interaction, Statistical analysis
in
ADVANCES IN DATA ANALYSIS, DATA HANDLING AND BUSINESS INTELLIGENCE (Studies in Classification Data Analysis and Knowledge Organization)
pages
399 - 408
conference name
32nd Annual Conference of the German-Classification-Society
conference location
Hamburg, Germany
conference start
2008-07-16
conference end
2008-07-18
Web of Science type
Proceedings Paper
Web of Science id
000282669800036
ISSN
1431-8814
ISBN
9783642010439
DOI
10.1007/978-3-642-01044-6_36
language
English
UGent publication?
yes
classification
P1
copyright statement
I have retained and own the full copyright for this publication
VABB id
c:vabb:299062
VABB type
VABB-5
id
851980
handle
http://hdl.handle.net/1854/LU-851980
date created
2010-02-04 16:13:59
date last changed
2016-12-19 15:36:35
@inproceedings{851980,
  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.},
  author       = {Desmet, Frank and Leman, Marc and Lesaffre, Micheline and De Bruyn, Leen},
  booktitle    = {ADVANCES IN DATA ANALYSIS, DATA HANDLING AND BUSINESS INTELLIGENCE (Studies in Classification Data Analysis and Knowledge Organization)},
  isbn         = {9783642010439},
  issn         = {1431-8814},
  keyword      = {Embodiment,Human body movement,Music research,Social interaction,Statistical analysis},
  language     = {eng},
  location     = {Hamburg, Germany},
  pages        = {399--408},
  title        = {Statistical analysis of human boy movement and group interactions in response to music},
  url          = {http://dx.doi.org/10.1007/978-3-642-01044-6\_36},
  year         = {2010},
}

Chicago
Desmet, Frank, Marc Leman, Micheline Lesaffre, and Leen De Bruyn. 2010. “Statistical Analysis of Human Boy Movement and Group Interactions in Response to Music.” In ADVANCES IN DATA ANALYSIS, DATA HANDLING AND BUSINESS INTELLIGENCE (Studies in Classification Data Analysis and Knowledge Organization), 399–408.
APA
Desmet, Frank, Leman, M., Lesaffre, M., & De Bruyn, L. (2010). Statistical analysis of human boy movement and group interactions in response to music. ADVANCES IN DATA ANALYSIS, DATA HANDLING AND BUSINESS INTELLIGENCE (Studies in Classification Data Analysis and Knowledge Organization) (pp. 399–408). Presented at the 32nd Annual Conference of the German-Classification-Society.
Vancouver
1.
Desmet F, Leman M, Lesaffre M, De Bruyn L. Statistical analysis of human boy movement and group interactions in response to music. ADVANCES IN DATA ANALYSIS, DATA HANDLING AND BUSINESS INTELLIGENCE (Studies in Classification Data Analysis and Knowledge Organization). 2010. p. 399–408.
MLA
Desmet, Frank, Marc Leman, Micheline Lesaffre, et al. “Statistical Analysis of Human Boy Movement and Group Interactions in Response to Music.” ADVANCES IN DATA ANALYSIS, DATA HANDLING AND BUSINESS INTELLIGENCE (Studies in Classification Data Analysis and Knowledge Organization). 2010. 399–408. Print.