Nikki Aitcheson-Huehn, Ryan MacPherson, Derek Panchuk, Adam W Kiefer
{"title":"Predicting Basketball Shot Outcome From Visuomotor Control Data Using Explainable Machine Learning.","authors":"Nikki Aitcheson-Huehn, Ryan MacPherson, Derek Panchuk, Adam W Kiefer","doi":"10.1123/jsep.2024-0063","DOIUrl":null,"url":null,"abstract":"<p><p>Quiet eye (QE), the visual fixation on a target before initiation of a critical action, is associated with improved performance. While QE is trainable, it is unclear whether QE can directly predict performance, which has implications for training interventions. This study predicted basketball shot outcome (make or miss) from visuomotor control variables using a decision tree classification approach. Twelve basketball athletes completed 200 shots from six on-court locations while wearing mobile eye-tracking glasses. Training and testing data sets were used for modeling eight predictors (shot location, arm extension time, and absolute and relative QE onset, offset, and duration) via standard and conditional inference decision trees and random forests. On average, the trees predicted over 66% of makes and over 50% of misses. The main predictor, relative QE duration, indicated success for durations over 18.4% (range: 14.5%-22.0%). Training to prolong QE duration beyond 18% may enhance shot success.</p>","PeriodicalId":51094,"journal":{"name":"Journal of Sport & Exercise Psychology","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Sport & Exercise Psychology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1123/jsep.2024-0063","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/1 0:00:00","PubModel":"Print","JCR":"Q2","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
引用次数: 0
Abstract
Quiet eye (QE), the visual fixation on a target before initiation of a critical action, is associated with improved performance. While QE is trainable, it is unclear whether QE can directly predict performance, which has implications for training interventions. This study predicted basketball shot outcome (make or miss) from visuomotor control variables using a decision tree classification approach. Twelve basketball athletes completed 200 shots from six on-court locations while wearing mobile eye-tracking glasses. Training and testing data sets were used for modeling eight predictors (shot location, arm extension time, and absolute and relative QE onset, offset, and duration) via standard and conditional inference decision trees and random forests. On average, the trees predicted over 66% of makes and over 50% of misses. The main predictor, relative QE duration, indicated success for durations over 18.4% (range: 14.5%-22.0%). Training to prolong QE duration beyond 18% may enhance shot success.
期刊介绍:
The Journal of Sport & Exercise Psychology (JSEP) is a peer-reviewed publication designed to stimulate and communicate research theory in all areas of sport and exercise psychology. JSEP emphasizes original research reports that advance our understanding of human behavior as it relates to sport and exercise. Comprehensive reviews employing both qualitative and quantitative methods are also encouraged, as well as brief reports of soundly designed research studies that are of special interest or importance. Areas of interest include research in social, clinical, developmental, and experimental psychology, as well as psychobiology and personality. Moreover, the terms sport and exercise may pertain to either the independent or dependent variables. Generally speaking, work on motor control processes, studies of sport as a social institution, or broader social issues are beyond the scope of JSEP. A wide variety of methods are acceptable for studying sport and exercise psychology topics.