Development of a Virtual-Reality Eye Movements-Based System to Assess Basketball Players' Decision Making.
Background and Purpose: This study developed a reliable and ecologically valid virtual reality eye movements-based assessment system to evaluate basketball players' decision-making abilities. Research Design: The system incorporated expert ratings, inter-group differences, analysis of covariance, an...
| Publicado en: | Perceptual & Motor Skills Vol. 133; no. 4; pp. 885 - 903 |
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| Autores principales: | , , , , , |
| Formato: | Artículo |
| Publicado: |
Sage Publications Inc.
Aug2026
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=194971906&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 194971906 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00315125 PSK jtl: Perceptual & Motor Skills issn: 00315125 maglogo: Y pubinfo: dt: Aug2026 vid: 133 iid: 4 pid: 344 pub: Sage Publications Inc. artinfo: ui: 194971906 10.1177/00315125251375200 ppf: 885 ppct: 18 formats: tig: atl: Development of a Virtual-Reality Eye Movements-Based System to Assess Basketball Players' Decision Making. aug: au: Jia, Yaxiang Zhou, Xuan Tang, Yaxin Li, Qiner Wang, Jingyi Fu, Quan affil: College of Physical Education, Yangzhou University, Yangzhou, China School of Sports Science and Health, Capital University of Physical Education and Sports, Beijing, China su: China Task performance Sex distribution Decision making Virtual reality Psychosocial factors Competition (Psychology) Pearson correlation (Statistics) T-test (Statistics) Research funding Eye movement measurements Research evaluation Mann Whitney U Test Analysis of covariance Descriptive statistics Athletic equipment Research methodology Statistical reliability Statistics Basketball Medical equipment reliability Comparative studies Data analysis software Reaction time College athletes sug: subj: Task performance Sex distribution Decision making Virtual reality Psychosocial factors Competition (Psychology) China Amusement and sporting goods merchant wholesalers Sporting Goods Stores Sporting and Recreational Goods and Supplies Merchant Wholesalers Sporting and Athletic Goods Manufacturing Pearson correlation (Statistics) T-test (Statistics) Research funding Eye movement measurements Research evaluation Mann Whitney U Test Analysis of covariance Descriptive statistics Athletic equipment Research methodology Statistical reliability Statistics Basketball Medical equipment reliability Comparative studies Data analysis software Reaction time College athletes keyword: basketball cognition-perception skills decision-making reliability validity virtual reality basketball cognition-perception skills decision-making reliability validity virtual reality ab: Background and Purpose: This study developed a reliable and ecologically valid virtual reality eye movements-based assessment system to evaluate basketball players' decision-making abilities. Research Design: The system incorporated expert ratings, inter-group differences, analysis of covariance, and test-retest reliability assessments to validate its effectiveness and reliability. Study Sample: A VR system with 100 task scenarios was used to assess decision-making performance and visual behavior. 30 high-level and 30 low-level players participated in two phases. Data Collection and Analysis: In Phase 1, a panel of basketball experts (N = 3) rated the decision-making scenarios. Kendall's coefficient of concordance (W) was used to analyze expert ratings, confirming content validity. Mann-Whitney U and independent samples t-tests were employed to assess decision quality and decision time differences between high- and low-level groups. Gender was included as a covariate in ANCOVA to control for gender effects. Gaze patterns were analyzed to examine differences in visual behavior. Phase 2 involved test-retest reliability analysis using Pearson's correlation coefficient (r). Results: High-level players performed significantly better in decision-making (p < 0.001) and had broader gaze distributions, while low-level players focused less on critical information. Test-retest correlations for decision scores (r = 0.846) and reaction times (r = 0.802) were significant (p < 0.001). Therefore, the high test-retest correlation reflects the strong reliability of the assessment system. Conclusions: This study is the first to validate the reliability and validity of a VR eye movements -based assessment tool for evaluating basketball players' decision-making abilities. By integrating eye-tracking technology with VR, this tool enables more accurate and reliable evaluations of basketball players' decision-making skills in future research. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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