JazzFlow-Analyzing "Group Flow" Among Jazz Musicians Through "Honest Signals"





Faculty/Professorship: Professur für Wirtschaftsinformatik, insbesondere Soziale Netzwerke 
Author(s): Gloor, Peter A.; Oster, Daniel; Fischbach, Kai  
Title of the Journal: Künstliche Intelligenz : KI ; Forschung, Entwicklung, Erfahrungen
ISSN: 0933-1875
Corporate Body: Fachbereich 1 der Gesellschaft für Informatik e.V.
Publisher Information: Berlin [u.a.] : Springer
Year of publication: 2013
Volume: 27
Issue: 1
Pages: 37-43 ; Illustrationen, Diagramme
Language(s): English
DOI: 10.1007/s13218-012-0230-3
URL: http://link.springer.com/article/10.1007/s13218...
Abstract: 
In this project we aim to analyze “honest signals” between Jazz musicians by using sociometric badges with the goal of identifying structural properties of self-organizing creative teams. In particular, we are interested in the pre-requisites for “flow,” the state of work where “time flies,” and workers are at their most-productive best. We extend the concept of individual “flow” as defined by Csikszentmihalyi (Flow: the psychology of optimal experience. Harper Row, New York, 1990) to the group level (Sawyer in Group creativity: music, theater, collaboration. Psychology Press, Oxford, 2003; Group genius: the creative power of collaboration. Basic Books, New York, 2007), trying to identify some of the conditions indicative of the group flow state. We speculate that a band of Jazz musicians is particularly well suited to study group flow, because they are an archetype of a self-organizing creative team, involved in highly creatively work while passing leadership of the tune for the solo part from one band member to the next.
Type: Article
URI: https://fis.uni-bamberg.de/handle/uniba/1224
Year of publication: 25. March 2013