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dc.contributor.authorGloor, Peter A.
dc.contributor.authorOster, Daniel
dc.contributor.authorFischbach, Kai
dc.date2013-02-01
dc.date.accessioned2018-01-08T09:16:22Z
dc.date.available2018-01-08T09:16:22Z
dc.date.issued2013
dc.identifier.issn1610-1987
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/11334
dc.description.abstractIn 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.
dc.publisherSpringer
dc.relation.ispartofKI - Künstliche Intelligenz: Vol. 27, No. 1
dc.relation.ispartofseriesKI - Künstliche Intelligenz
dc.titleJazzFlow—Analyzing “Group Flow” Among Jazz Musicians Through “Honest Signals”
dc.typeText/Journal Article
mci.reference.pages37-43
gi.identifier.doi10.1007/s13218-012-0230-3


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