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JazzFlow-Analyzing "Group Flow" Among Jazz Musicians Through "Honest Signals"
Gloor, Peter A.; Oster, Daniel; Fischbach, Kai (2013): JazzFlow-Analyzing „Group Flow“ Among Jazz Musicians Through „Honest Signals“, in: Künstliche Intelligenz : KI ; Forschung, Entwicklung, Erfahrungen, Berlin [u.a.]: Springer, Jg. 27, Nr. 1, S. 37–43, doi: 10.1007/s13218-012-0230-3.
Author:
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:
Year of publication:
2013
Volume:
27
Issue:
1
Pages:
Language:
English
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
Activation date:
March 25, 2013
Permalink
https://fis.uni-bamberg.de/handle/uniba/1224