Cognitive Bias for the Distribution of Ball Landing Positions in Amateur Tennis Players (Cognitive Bias for the Motor Variance in Tennis).


Journal

Journal of motor behavior
ISSN: 1940-1027
Titre abrégé: J Mot Behav
Pays: United States
ID NLM: 0236512

Informations de publication

Date de publication:
2019
Historique:
pubmed: 7 3 2018
medline: 19 5 2020
entrez: 7 3 2018
Statut: ppublish

Résumé

This study aimed to investigate whether the isotropy bias (estimating one's own motor variance as an approximately circular distribution rather than a vertically elongated distribution) arises in tennis players for the estimation of the two-dimensional variance for forehand strokes in tennis (Experiment 1), as well as the process underlying the isotropy bias (Experiment 2). In Experiment 1, 31 tennis players were asked to estimate prospectively their distribution of ball landing positions. They were then instructed to hit 50 forehand strokes. We compared the eccentricity of the ellipse calculated from estimated and observed landing positions. Eccentricity was significantly smaller in the estimated ellipse than in the observed ellipse. We assumed that the isotropy bias for the estimated ellipse comes from the process of variance estimation. In Experiment 2, nine participants estimated the 95% confidence interval of 300 dots. Eccentricity was significantly smaller in their estimated ellipses than it was in the ellipses for the dots, though the magnitude of bias decreased for the estimation of dots. These results suggest that the isotropy bias in tennis ball landing position includes the bias of recognizing landing position and the bias of estimating the ellipse confidence interval from the recognized landing position.

Identifiants

pubmed: 29509097
doi: 10.1080/00222895.2018.1440523
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

141-150

Auteurs

Hiroyuki Yamamoto (H)

a Graduate School of Arts and Sciences , The University of Tokyo , Tokyo , Japan.

Masahiro Shinya (M)

a Graduate School of Arts and Sciences , The University of Tokyo , Tokyo , Japan.

Kazutoshi Kudo (K)

a Graduate School of Arts and Sciences , The University of Tokyo , Tokyo , Japan.
b Graduate School of Interdisciplinary Information Studies , The University of Tokyo , Tokyo , Japan.

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