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Oculomotor Behavior Predict Professional Cricket Batting and Bowling Performance
Importance: A new, shorter version of cricket was introduced recently (Twenty20; T20). Since its inception, T20 cricket has rapidly become a popular and exciting format of cricket. However, there is little understanding of factors such as visual-motor control that influence expert performance. Objec...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8739967/ https://www.ncbi.nlm.nih.gov/pubmed/35002657 http://dx.doi.org/10.3389/fnhum.2021.768585 |
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author | Murray, Nicholas P. Lawton, Josh Rider, Patrick Harris, Nathanial Hunfalvay, Melissa |
author_facet | Murray, Nicholas P. Lawton, Josh Rider, Patrick Harris, Nathanial Hunfalvay, Melissa |
author_sort | Murray, Nicholas P. |
collection | PubMed |
description | Importance: A new, shorter version of cricket was introduced recently (Twenty20; T20). Since its inception, T20 cricket has rapidly become a popular and exciting format of cricket. However, there is little understanding of factors such as visual-motor control that influence expert performance. Objective: The purpose of this project is to determine if a series of oculomotor measures can predict batting and bowling performance in professional cricket players. Design: This study used a cross-sectional design. Each participant took part in a suite of eye-tracking tests to measure oculomotor behavior compared to their performance data. Participants: This study used a sample of 59 male T20 league professional cricket players (30 Bowlers and 29 Batsman). Results: One-way univariate analyses of variance examined the differences in oculomotor behavior between batsman and bowlers. A series of multiple regression analyses was conducted to evaluate how well the visual variables predict bowling and batting performance variables. Results demonstrate that several oculomotor eye tracking measures were good predictors of run performance and strike rate, including sports total score, sports on-field score, and sports functional score. Likewise, several of the same metrics predicted Runs and Wicket performance for bowlers. Overall, results provided further validation to a growing body of literature supporting the use of eye-tracking technology in performance evaluation. |
format | Online Article Text |
id | pubmed-8739967 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87399672022-01-08 Oculomotor Behavior Predict Professional Cricket Batting and Bowling Performance Murray, Nicholas P. Lawton, Josh Rider, Patrick Harris, Nathanial Hunfalvay, Melissa Front Hum Neurosci Neuroscience Importance: A new, shorter version of cricket was introduced recently (Twenty20; T20). Since its inception, T20 cricket has rapidly become a popular and exciting format of cricket. However, there is little understanding of factors such as visual-motor control that influence expert performance. Objective: The purpose of this project is to determine if a series of oculomotor measures can predict batting and bowling performance in professional cricket players. Design: This study used a cross-sectional design. Each participant took part in a suite of eye-tracking tests to measure oculomotor behavior compared to their performance data. Participants: This study used a sample of 59 male T20 league professional cricket players (30 Bowlers and 29 Batsman). Results: One-way univariate analyses of variance examined the differences in oculomotor behavior between batsman and bowlers. A series of multiple regression analyses was conducted to evaluate how well the visual variables predict bowling and batting performance variables. Results demonstrate that several oculomotor eye tracking measures were good predictors of run performance and strike rate, including sports total score, sports on-field score, and sports functional score. Likewise, several of the same metrics predicted Runs and Wicket performance for bowlers. Overall, results provided further validation to a growing body of literature supporting the use of eye-tracking technology in performance evaluation. Frontiers Media S.A. 2021-12-24 /pmc/articles/PMC8739967/ /pubmed/35002657 http://dx.doi.org/10.3389/fnhum.2021.768585 Text en Copyright © 2021 Murray, Lawton, Rider, Harris and Hunfalvay. https://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) and the copyright owner(s) 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 | Neuroscience Murray, Nicholas P. Lawton, Josh Rider, Patrick Harris, Nathanial Hunfalvay, Melissa Oculomotor Behavior Predict Professional Cricket Batting and Bowling Performance |
title | Oculomotor Behavior Predict Professional Cricket Batting and Bowling Performance |
title_full | Oculomotor Behavior Predict Professional Cricket Batting and Bowling Performance |
title_fullStr | Oculomotor Behavior Predict Professional Cricket Batting and Bowling Performance |
title_full_unstemmed | Oculomotor Behavior Predict Professional Cricket Batting and Bowling Performance |
title_short | Oculomotor Behavior Predict Professional Cricket Batting and Bowling Performance |
title_sort | oculomotor behavior predict professional cricket batting and bowling performance |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8739967/ https://www.ncbi.nlm.nih.gov/pubmed/35002657 http://dx.doi.org/10.3389/fnhum.2021.768585 |
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