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

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...

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Autores principales: Peng, Zhen, Braun, Daniel A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4681813/
https://www.ncbi.nlm.nih.gov/pubmed/26733896
http://dx.doi.org/10.3389/fpsyg.2015.01879
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author Peng, Zhen
Braun, Daniel A.
author_facet Peng, Zhen
Braun, Daniel A.
author_sort Peng, Zhen
collection PubMed
description 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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spelling pubmed-46818132016-01-05 Entropic Movement Complexity Reflects Subjective Creativity Rankings of Visualized Hand Motion Trajectories Peng, Zhen Braun, Daniel A. Front Psychol Psychology 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. Frontiers Media S.A. 2015-12-17 /pmc/articles/PMC4681813/ /pubmed/26733896 http://dx.doi.org/10.3389/fpsyg.2015.01879 Text en Copyright © 2015 Peng and Braun. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Peng, Zhen
Braun, Daniel A.
Entropic Movement Complexity Reflects Subjective Creativity Rankings of Visualized Hand Motion Trajectories
title Entropic Movement Complexity Reflects Subjective Creativity Rankings of Visualized Hand Motion Trajectories
title_full Entropic Movement Complexity Reflects Subjective Creativity Rankings of Visualized Hand Motion Trajectories
title_fullStr Entropic Movement Complexity Reflects Subjective Creativity Rankings of Visualized Hand Motion Trajectories
title_full_unstemmed Entropic Movement Complexity Reflects Subjective Creativity Rankings of Visualized Hand Motion Trajectories
title_short Entropic Movement Complexity Reflects Subjective Creativity Rankings of Visualized Hand Motion Trajectories
title_sort entropic movement complexity reflects subjective creativity rankings of visualized hand motion trajectories
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4681813/
https://www.ncbi.nlm.nih.gov/pubmed/26733896
http://dx.doi.org/10.3389/fpsyg.2015.01879
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