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Updated: Jun 25, 2026

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
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Published on: April 4, 2025

Gaze Allocation and Performance Across Task-Demand Conditions During Squat-Based Exergaming: Pilot Study Using Eye

Keiichi Takei1

  • 1Department of Physical Therapy, Faculty of Rehabilitation, Tokyo Professional University of Health Sciences, Koto-ku, Tokyo, Japan.

JMIR Rehabilitation and Assistive Technologies
|June 23, 2026
PubMed
Summary
This summary is machine-generated.

Exergames challenge motor and cognitive skills. Adding cognitive tasks or unilateral squats altered gaze allocation and performance in squat-based exergaming, suggesting potential for attentional shift measurement.

Keywords:
cognitive loaddual taskexergameeye trackinggaze allocation

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Published on: December 16, 2010

Area of Science:

  • Human-Computer Interaction
  • Sports Science
  • Cognitive Psychology

Background:

  • Exergames merge physical activity with interactive digital elements, demanding motor, cognitive, and postural control.
  • Understanding how task complexity influences player attention and gaze is crucial for optimizing exergame design and effectiveness.

Purpose of the Study:

  • To investigate how manipulating task demands affects gaze allocation and performance during squat-based exergaming.
  • To compare performance and eye-tracking metrics across baseline, concurrent cognitive task, and unilateral squat conditions.

Main Methods:

  • A within-participant design involving 8 healthy adults performing a squat-based exergame (Ring Fit Adventure).
  • Three randomized conditions: baseline, concurrent cognitive task (serial subtraction), and unilateral squats.
  • Collected data included execution time, squat score, arithmetic performance, and eye-tracking metrics (fixation time and counts on areas of interest).

Main Results:

  • Exergame execution time increased with added cognitive load and unilateral squats.
  • Squat performance scores decreased significantly during the unilateral squat condition.
  • Gaze allocation shifted, with decreased fixation on in-game commands and increased attention to areas outside predefined regions of interest during the cognitive task.

Conclusions:

  • Modifying task demands in exergames leads to distinct changes in performance and gaze patterns.
  • Area of Interest (AOI)-based gaze metrics show promise for quantifying attentional shifts related to task complexity.
  • Further research with larger, diverse samples is needed to validate these metrics for potential adaptive or clinical applications.