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Classic motor chunking theory fails to account for behavioural diversity and speed in a complex naturalistic task
In tasks that demand rapid performance, actions must be executed as efficiently as possible. Theories of expert motor performance such as the motor chunking framework suggest that efficiency is supported by automatization, where many serial actions are automatized into smaller chunks, or groups of c...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6564011/ https://www.ncbi.nlm.nih.gov/pubmed/31194810 http://dx.doi.org/10.1371/journal.pone.0218251 |
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author | Thompson, Joseph J. McColeman, Caitlyn M. Blair, Mark R. Henrey, Andrew J. |
author_facet | Thompson, Joseph J. McColeman, Caitlyn M. Blair, Mark R. Henrey, Andrew J. |
author_sort | Thompson, Joseph J. |
collection | PubMed |
description | In tasks that demand rapid performance, actions must be executed as efficiently as possible. Theories of expert motor performance such as the motor chunking framework suggest that efficiency is supported by automatization, where many serial actions are automatized into smaller chunks, or groups of commonly co-occuring actions. We use the fast-paced, professional eSport StarCraft 2 as a test case of the explanatory power of the motor chunking framework and assess the importance of chunks in explaining expert performance. To do so, we test three predictions motivated by a simple motor chunking framework. (1) StarCraft 2 players should exhibit an increasing number of chunks with expertise. (2) The proportion of actions falling within a chunk should increase with skill. (3) Chunks should be faster than non-chunks containing the same atomic behaviours. Although our findings support the existence of chunks, they also highlight two problems for existing accounts of rapid motor execution and expert performance. First, while better players do use more chunks, the proportion of actions within a chunks is stable across expertise and expert sequences are generally more varied (the diversity problem). Secondly, chunks, which are supposed to enjoy the most extreme automatization, appear to save little or no time overall (the time savings problem). Instead, the most parsimonious description of our latency analysis is that players become faster overall regardless of chunking. |
format | Online Article Text |
id | pubmed-6564011 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-65640112019-06-20 Classic motor chunking theory fails to account for behavioural diversity and speed in a complex naturalistic task Thompson, Joseph J. McColeman, Caitlyn M. Blair, Mark R. Henrey, Andrew J. PLoS One Research Article In tasks that demand rapid performance, actions must be executed as efficiently as possible. Theories of expert motor performance such as the motor chunking framework suggest that efficiency is supported by automatization, where many serial actions are automatized into smaller chunks, or groups of commonly co-occuring actions. We use the fast-paced, professional eSport StarCraft 2 as a test case of the explanatory power of the motor chunking framework and assess the importance of chunks in explaining expert performance. To do so, we test three predictions motivated by a simple motor chunking framework. (1) StarCraft 2 players should exhibit an increasing number of chunks with expertise. (2) The proportion of actions falling within a chunk should increase with skill. (3) Chunks should be faster than non-chunks containing the same atomic behaviours. Although our findings support the existence of chunks, they also highlight two problems for existing accounts of rapid motor execution and expert performance. First, while better players do use more chunks, the proportion of actions within a chunks is stable across expertise and expert sequences are generally more varied (the diversity problem). Secondly, chunks, which are supposed to enjoy the most extreme automatization, appear to save little or no time overall (the time savings problem). Instead, the most parsimonious description of our latency analysis is that players become faster overall regardless of chunking. Public Library of Science 2019-06-13 /pmc/articles/PMC6564011/ /pubmed/31194810 http://dx.doi.org/10.1371/journal.pone.0218251 Text en © 2019 Thompson et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Thompson, Joseph J. McColeman, Caitlyn M. Blair, Mark R. Henrey, Andrew J. Classic motor chunking theory fails to account for behavioural diversity and speed in a complex naturalistic task |
title | Classic motor chunking theory fails to account for behavioural diversity and speed in a complex naturalistic task |
title_full | Classic motor chunking theory fails to account for behavioural diversity and speed in a complex naturalistic task |
title_fullStr | Classic motor chunking theory fails to account for behavioural diversity and speed in a complex naturalistic task |
title_full_unstemmed | Classic motor chunking theory fails to account for behavioural diversity and speed in a complex naturalistic task |
title_short | Classic motor chunking theory fails to account for behavioural diversity and speed in a complex naturalistic task |
title_sort | classic motor chunking theory fails to account for behavioural diversity and speed in a complex naturalistic task |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6564011/ https://www.ncbi.nlm.nih.gov/pubmed/31194810 http://dx.doi.org/10.1371/journal.pone.0218251 |
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