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Using a Screen-Based Task to Explore Expertise-Based Differences in Green Reading.

Laura Carey1, Joseph A Stone2, Ben W Strafford2

  • 1School of Health and Life Sciences, University of the West of Scotland, Lanarkshire, Glasgow, UK.

Perceptual and Motor Skills
|March 26, 2026
PubMed
Summary
This summary is machine-generated.

Golfers improve predicting putting outcomes with video analysis over static images. Higher skilled golfers gain more from visual aids, enhancing their green reading accuracy.

Keywords:
expertisegolf puttingperceptual-cognitiveperformancetraining

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Area of Science:

  • Sports Science
  • Motor Control
  • Perception

Background:

  • Green reading is a crucial skill for successful golf putting.
  • Accurate green reading involves interpreting subtle visual cues to predict ball trajectory.

Purpose of the Study:

  • To investigate how golfers of varying skill levels interpret static 2D images and videos for green reading.
  • To determine the impact of different visual information formats (images vs. videos) on predicting putting outcomes.

Main Methods:

  • Eighty golfers with diverse skill levels participated in a screen-based assessment.
  • Participants evaluated putts using static images, multiple viewing positions, and video footage.
  • Tasks included predicting ball roll from images/videos and judging putt success from video clips.

Main Results:

  • Video-based green reading led to higher accuracy compared to static 2D images.
  • Advanced golfers demonstrated greater improvement with additional visual information and video analysis.
  • Skill level significantly influenced the benefit derived from enhanced visual data.

Conclusions:

  • Screen-based tools show promise for improving green reading but have limitations.
  • Video analysis offers a more effective method for green reading practice than static images.
  • Tailoring visual aids to golfer skill level may optimize training effectiveness.