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Visual tracking assessment in a soccer-specific virtual environment: A web-based study.

Alexandre Vu¹, Anthony Sorel¹, Charles Faure¹

¹Univ Rennes, Inria, M2S - EA 7470, Rennes, France.

|June 9, 2022

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Soccer players

Area of Science:

Sports Science
Human Movement Analysis
Perceptual-Motor Skills

Background:

Effective visual tracking is crucial for high performance in soccer.
Current laboratory assessments of visual tracking may not reflect real-world soccer scenarios.
The specific features that challenge player tracking in games are not well understood.

Purpose of the Study:

To investigate visual tracking performance in soccer players using sport-specific and pseudo-random movements.
To identify situational features that influence the difficulty of tracking players in soccer.
To compare tracking performance across soccer players, other team sport athletes, and non-team sport athletes.

Main Methods:

Participants tracked multiple virtual players on a soccer field using a web application.

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Virtual players moved according to real soccer game trajectories or pseudo-random patterns.

Hierarchical Clustering on Principal Components (HCPC) analyzed features of hard-to-track players.

Main Results:

No significant difference in tracking performance was found between soccer players and other groups when using real soccer movements versus pseudo-random movements.
Soccer-specific knowledge did not appear to enhance visual tracking performance with real-world trajectories.
Player spatial distribution significantly impacted tracking difficulty in soccer-specific movements, unlike pseudo-random movements.

Conclusions:

Real-world trajectories alone may not be sufficient to elicit sport-specific knowledge in visual tracking tasks.
The spatial arrangement of players is a key factor influencing tracking difficulty in soccer.
Future research should incorporate realistic game scenarios to better understand visual tracking challenges in sports.