Adaptations in visual search behaviour as a function of expertise in Rugby Union players completing attacking scenarios

(Anpassungen im visuellen Suchverhalten in Abhängigkeit von der Erfahrung bei Rugby-Union-Spielern, die Angriffsszenarien absolvieren)

The current study investigated the adaptations which occur in visual search behaviour as a function of expertise in rugby union players when completing attacking scenarios. Ten experienced players (EP) and ten novice players (NP) completed 2 vs. 1 attacking game scenarios. Starting with the ball in hand and wearing a mobile eye tracker throughout, participants were required to score a try against a defender. The scenarios allowed for a pass to their supporting player (Spin Pass or Switch) or trying to run past the defender (Take-Player-On or Dummy Switch). No between group differences were found in fixating on the supporting attacking player (p > 0.05). However, EP increased the length (p = 0.008) and frequency (p = 0.004) looking at the area immediately ahead of the supporting player, particularly when executing a spin pass. NP fixated longer (p = 0.005) and more frequently (p = 0.032) at the defender, whilst EP fixated more frequently in the space the supporting player would run into in Switch and Dummy Switch scenarios (p = 0.025). More successful passes were completed and tries scored by EP compared to NP (p = 0.001). Differences in visual search behaviour between experienced and NP suggest that the experts extract information from areas directly related to guiding the motor action; the space immediately ahead of the support player to pass the ball in. Contrastingly, novices use a more allocentric perspective where the actions from the defender are used to guide their motor actions.
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Bibliographische Detailangaben
Schlagworte:
Notationen:Spielsportarten
Tagging:Augenbewegung Eyetracking
Veröffentlicht in:Frontiers in Psychology
Sprache:Englisch
Veröffentlicht: 2022
Online-Zugang:https://doi.org/10.3389/fpsyg.2022.837558
Jahrgang:13
Seiten:837558
Dokumentenarten:Artikel
Level:hoch