Literature DB >> 33384634

Time Course of Creativity in Dance.

David Kirsh1, Catherine J Stevens2, Daniel W Piepers2.   

Abstract

Time-motion studies revolutionized the design and efficiency of repetitive work last century. Would time-idea studies revolutionize the rules of intellectual/creative work this century? Collaborating with seven professional dancers, we set out to discover if there were any significant temporal patterns to be found in a timeline coded to show when dancers come up with ideas and when they modify or reject them. On each of 3 days, the dancers were given a choreographic problem (or task) to help them generate a novel, high quality contemporary dance phrase. They were videoed as they worked on this task for sessions of 15, 30, and 45 min. At the end of each 15 min interval during each session, we had them perform the phrase they were creating. They recorded and then coded the video of themselves dancing during these sessions by using a coding language we developed with them to identify when ideas are introduced, modified, and rejected. We found that most ideas are created early and that though these early ideas are aggressively pruned early on, many still make it into the final product. The two competing accounts of creativity in design research make predictions for the temporal structure of creativity. Our results support neither account, rather showing a more blended version of the two. The iterative design view, arguably the dominant view, is that good ideas are the product of generating many ideas, choosing one fairly early, committing to it, and iteratively improving it. The "fail fast fail often" view is that good ideas are the product of rapidly generating and discarding ideas and holding back from early commitment to any one in particular. The result of holding back commitment, typically, is not that an idea is taken up later and then incrementally improved at the last minute, as much as that later designs are not completely novel, instead incorporating the best parts of the entire sequence of ideas. In our study, we found no evidence that one account or the other was more predictive for the domain of contemporary dance. The behavior of the dancers that we studied revealed elements of both, calling into question how predictive these theories are.
Copyright © 2020 Kirsh, Stevens and Piepers.

Entities:  

Keywords:  contemporary dance; creativity; fail fast fail often; improvisation; iterative design; temporal dynamics of invention

Year:  2020        PMID: 33384634      PMCID: PMC7770173          DOI: 10.3389/fpsyg.2020.518248

Source DB:  PubMed          Journal:  Front Psychol        ISSN: 1664-1078


  10 in total

1.  Discovering hidden time patterns in behavior: T-patterns and their detection.

Authors:  M S Magnusson
Journal:  Behav Res Methods Instrum Comput       Date:  2000-02

2.  Creative abilities in the arts.

Authors:  J P GUILFORD
Journal:  Psychol Rev       Date:  1957-03       Impact factor: 8.934

3.  Relations of creative responses to working time and instructions.

Authors:  P R CHRISTENSEN; J P GUILFORD; R C WILSON
Journal:  J Exp Psychol       Date:  1957-02

4.  Thinking in action: thought made visible in contemporary dance.

Authors:  Catherine Stevens; Shirley McKechnie
Journal:  Cogn Process       Date:  2005-08-26

5.  Identifying and analyzing motor skill responses in body movement and dance.

Authors:  Marta Castañer; Carlota Torrents; M T Anguera; Mária Dinusová; Gudberg K Jonsson
Journal:  Behav Res Methods       Date:  2009-08

Review 6.  T-pattern detection and analysis for the discovery of hidden features of behaviour.

Authors:  M Casarrubea; M S Magnusson; M T Anguera; G K Jonsson; M Castañer; A Santangelo; M Palacino; S Aiello; F Faulisi; G Raso; S Puigarnau; O Camerino; G Di Giovanni; G Crescimanno
Journal:  J Neurosci Methods       Date:  2018-06-20       Impact factor: 2.390

Review 7.  T-pattern analysis for the study of temporal structure of animal and human behavior: a comprehensive review.

Authors:  M Casarrubea; G K Jonsson; F Faulisi; F Sorbera; G Di Giovanni; A Benigno; G Crescimanno; M S Magnusson
Journal:  J Neurosci Methods       Date:  2014-10-02       Impact factor: 2.390

8.  Changes in Brain Activation Associated with Spontaneous Improvization and Figural Creativity After Design-Thinking-Based Training: A Longitudinal fMRI Study.

Authors:  Manish Saggar; Eve-Marie Quintin; Nicholas T Bott; Eliza Kienitz; Yin-Hsuan Chien; Daniel W-C Hong; Ning Liu; Adam Royalty; Grace Hawthorne; Allan L Reiss
Journal:  Cereb Cortex       Date:  2017-07-01       Impact factor: 5.357

9.  Decrease in performance on the verbal fluency test as a function of time: evaluation in a young healthy sample.

Authors:  S F Crowe
Journal:  J Clin Exp Neuropsychol       Date:  1998-06       Impact factor: 2.475

10.  The time-course of EEG alpha power changes in creative ideation.

Authors:  Daniela Schwab; Mathias Benedek; Ilona Papousek; Elisabeth M Weiss; Andreas Fink
Journal:  Front Hum Neurosci       Date:  2014-05-13       Impact factor: 3.169

  10 in total

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