JazzFlow—Analyzing “Group Flow” Among Jazz Musicians Through “Honest Signals”
| dc.contributor.author | Gloor, Peter A. | |
| dc.contributor.author | Oster, Daniel | |
| dc.contributor.author | Fischbach, Kai | |
| dc.date.accessioned | 2018-01-08T09:16:22Z | |
| dc.date.available | 2018-01-08T09:16:22Z | |
| dc.date.issued | 2013 | |
| dc.description.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. | |
| dc.identifier.pissn | 1610-1987 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/11334 | |
| dc.publisher | Springer | |
| dc.relation.ispartof | KI - Künstliche Intelligenz: Vol. 27, No. 1 | |
| dc.relation.ispartofseries | KI - Künstliche Intelligenz | |
| dc.title | JazzFlow—Analyzing “Group Flow” Among Jazz Musicians Through “Honest Signals” | |
| dc.type | Text/Journal Article | |
| gi.citation.endPage | 43 | |
| gi.citation.startPage | 37 |