Analyzing social interactions: The promises and challenges of using cross recurrence quantification analysis
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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Analyzing social interactions : The promises and challenges of using cross recurrence quantification analysis. / Fusaroli, Riccardo; Konvalinka, Ivana; Wallot, Sebastian.
Translational Recurrences: From Mathematical Theory to Real-World Applications. Hrsg. / Nobert Marwan; Michael Riley; Alessandro Giuliani; Charles L. Webber. Band 103 Springer New York LLC, 2014. S. 137-155 (Springer Proceedings in Mathematics & Statistics; Band 103).Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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TY - CHAP
T1 - Analyzing social interactions
T2 - 5th International Symposium on Recurrence Plots, 2013
AU - Fusaroli, Riccardo
AU - Konvalinka, Ivana
AU - Wallot, Sebastian
N1 - Conference code: 5
PY - 2014/1/1
Y1 - 2014/1/1
N2 - The scientific investigation of social interactions presents substantial challenges: interacting agents engage each other at many different levels and timescales (motor and physiological coordination, joint attention, linguistic exchanges, etc.), often making their behaviors interdependent in non-linear ways. In this paper we review the current use of Cross Recurrence Quantification Analysis (CRQA) in the analysis of social interactions, and assess its potential and challenges. We argue that the method can sensitively grasp the dynamics of human interactions, and that it has started producing valuable knowledge about them. However, much work is still necessary: more systematic analyses and interpretation of the recurrence indexes and more consistent reporting of the results, more emphasis on theory-driven studies, exploring interactions involving more than 2 agents and multiple aspects of coordination, and assessing and quantifying complementary coordinative mechanisms. These challenges are discussed and operationalized in recommendations to further develop the field.
AB - The scientific investigation of social interactions presents substantial challenges: interacting agents engage each other at many different levels and timescales (motor and physiological coordination, joint attention, linguistic exchanges, etc.), often making their behaviors interdependent in non-linear ways. In this paper we review the current use of Cross Recurrence Quantification Analysis (CRQA) in the analysis of social interactions, and assess its potential and challenges. We argue that the method can sensitively grasp the dynamics of human interactions, and that it has started producing valuable knowledge about them. However, much work is still necessary: more systematic analyses and interpretation of the recurrence indexes and more consistent reporting of the results, more emphasis on theory-driven studies, exploring interactions involving more than 2 agents and multiple aspects of coordination, and assessing and quantifying complementary coordinative mechanisms. These challenges are discussed and operationalized in recommendations to further develop the field.
KW - Psychology
KW - High Recurrence Rate
KW - Coordinative Structure
KW - Recurrence Quantification Analysis
KW - Diagonal Structure
KW - Interpersonal Coordination
UR - http://www.scopus.com/inward/record.url?scp=84911458556&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-09531-8_9
DO - 10.1007/978-3-319-09531-8_9
M3 - Article in conference proceedings
AN - SCOPUS:84911458556
SN - 978-3-319-09530-1
VL - 103
T3 - Springer Proceedings in Mathematics & Statistics
SP - 137
EP - 155
BT - Translational Recurrences
A2 - Marwan, Nobert
A2 - Riley, Michael
A2 - Giuliani, Alessandro
A2 - Webber, Charles L.
PB - Springer New York LLC
Y2 - 14 August 2013 through 16 August 2013
ER -