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  Entropic Movement Complexity Reflects Subjective Creativity Rankings of Visualized Hand Motion Trajectories

Peng, Z., & Braun, D. (2015). Entropic Movement Complexity Reflects Subjective Creativity Rankings of Visualized Hand Motion Trajectories. Frontiers in Psychology, 6: 1879, pp. 1-13. doi:10.3389/fpsyg.2015.01879.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002A-4383-E Version Permalink: http://hdl.handle.net/21.11116/0000-0001-93DC-1
Genre: Journal Article

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Peng, Z1, 2, Author              
Braun, DA1, 2, Author              
Affiliations:
1Research Group Sensorimotor Learning and Decision-Making, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497809              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: In a previous study we have shown that human motion trajectories can be characterized by translating continuous trajectories into symbol sequences with well-defined complexity measures. Here we test the hypothesis that the motion complexity individuals generate in their movements might be correlated to the degree of creativity assigned by a human observer to the visualized motion trajectories. We asked participants to generate 55 novel hand movement patterns in virtual reality, where each pattern had to be repeated 10 times in a row to ensure reproducibility. This allowed us to estimate a probability distribution over trajectories for each pattern. We assessed motion complexity not only by the previously proposed complexity measures on symbolic sequences, but we also propose two novel complexity measures that can be directly applied to the distributions over trajectories based on the frameworks of Gaussian Processes and Probabilistic Movement Primitives. In contrast to previous studies, these new methods allow computing complexities of individual motion patterns from very few sample trajectories. We compared the different complexity measures to how a group of independent jurors rank ordered the recorded motion trajectories according to their personal creativity judgment. We found three entropic complexity measures that correlate significantly with human creativity judgment and discuss differences between the measures. We also test whether these complexity measures correlate with individual creativity in divergent thinking tasks, but do not find any consistent correlation. Our results suggest that entropic complexity measures of hand motion may reveal domain-specific individual differences in kinesthetic creativity.

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 Dates: 2015-12
 Publication Status: Published online
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 Rev. Type: -
 Identifiers: DOI: 10.3389/fpsyg.2015.01879
BibTex Citekey: PengB2015_2
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Title: Frontiers in Psychology
  Abbreviation : Front Psychol
Source Genre: Journal
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Publ. Info: Pully, Switzerland : Frontiers Research Foundation
Pages: - Volume / Issue: 6 Sequence Number: 1879 Start / End Page: 1 - 13 Identifier: ISSN: 1664-1078
CoNE: https://pure.mpg.de/cone/journals/resource/1664-1078