Literature DB >> 11999474

The coupling between point-of-gaze and ball movements in three-ball cascade juggling: the effects of expertise, pattern and tempo.

Raoul Huys1, Peter J Beek.   

Abstract

The relationship between point-of-gaze and ball movements in three-ball juggling was examined as a function of expertise, pattern and tempo. Five intermediately skilled and five expert jugglers performed the standard and reverse cascade at three tempos, while point-of-gaze and ball movements were recorded simultaneously. Scaled to the size of the ball patterns, the experts made smaller point-of-gaze movements than the intermediates, especially in the horizontal direction and in the standard cascade. In both skill groups, point-of-gaze and ball movements were often 1 : 1 frequency locked in the horizontal direction, whereas in the vertical direction 1 : 2 frequency locking also occurred. In the latter direction, the 1 : 1 ratio prevailed in the intermediates and the 1 : 2 ratio in the experts. In addition, the incidence of the 1 : 1 ratio decreased and that of the 1 : 2 ratio increased with increasing tempo. Furthermore, in the vertical direction, increasing tempo resulted in a weaker 1 : 1 locking, whereas the strength of the 1 : 2 ratio remained unaffected by tempo. In the horizontal direction, the strength of the 1 : 1 locking was higher on average in the reverse cascade than in the standard cascade. We conclude that expertise in juggling is reflected by an overall reduction in the extent to which the balls are visually tracked, and that task constraints such as tempo and juggling pattern affect the visual search patterns of both expert and intermediate jugglers.

Mesh:

Year:  2002        PMID: 11999474     DOI: 10.1080/026404102317284745

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  10 in total

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8.  Gaze behavior in one-handed catching and its relation with interceptive performance: what the eyes can't tell.

Authors:  Benedetta Cesqui; Maura Mezzetti; Francesco Lacquaniti; Andrea d'Avella
Journal:  PLoS One       Date:  2015-03-20       Impact factor: 3.240

9.  Stage-Wise Learning of Reaching Using Little Prior Knowledge.

Authors:  François de La Bourdonnaye; Céline Teulière; Jochen Triesch; Thierry Chateau
Journal:  Front Robot AI       Date:  2018-10-01

10.  Evaluating the integration of eye-tracking and motion capture technologies: Quantifying the accuracy and precision of gaze measures.

Authors:  Rhys Hunt; Tim Blackmore; Chris Mills; Matt Dicks
Journal:  Iperception       Date:  2022-09-26
  10 in total

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