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Accepted for/Published in: JMIR Rehabilitation and Assistive Technologies

Date Submitted: Aug 18, 2025
Date Accepted: Jun 1, 2026

The final, peer-reviewed published version of this preprint can be found here:

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

Takei K

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

JMIR Rehabil Assist Technol 2026;13:e81667

DOI: 10.2196/81667

PMID: 42335460

Task-Demand Variations Alter Gaze and Performance During Squat-Based Exergaming: A Pilot Study on Eye-Tracking

  • Keiichi Takei

ABSTRACT

Background:

Exergames, which combine cognitive processing with bodily movement, have been promoted as a strategy for preventing falls and preserving cognition. However, the modulatory effects of game difficulty, either cognitive or physical, on gaze behavior and in-game performance remains unclear.

Objective:

This study aimed to inform adaptive game design by determining the effects of experimentally increasing cognitive or physical load on gaze allocation and performance during exergaming, thereby informing adaptive game design.

Methods:

Eight healthy adults (mean age 20 ± 1 years; 7 men) played a squat-based exergame (Ring Fit Adventure®, Nintendo) under three randomized conditions: baseline control, enhanced cognitive load (numerical task), and enhanced physical load (single-leg squats). Total fixation duration (TFD) within three predefined areas of interest (command, avatar, and score) recorded using wearable eye-tracking glasses (100 Hz), game completion time, and squat score were then determined. Dunnett (parametric) or Steel (non-parametric) tests were used to determine changes in each load condition from baseline. Effect sizes (Hedges g, Vargha–Delaney A, Cliff’s Δ) with 95% CIs were calculated to complement the p values.

Results:

Compared to baseline, the cognitive-load condition shortened the total TFD (mean, −2092 ms; g = −1.04, 95% CI −2.13 to 0.06) and prolonged completion time (A = 0.84, 95% CI 0.59 to 1.09; p =.004). The physical-load condition markedly reduced the squat score (Δ = −0.97, 95% CI −1.00 to −0.87; p <.001) without affecting completion time.

Conclusions:

Greater cognitive load disrupted visual attention and slowed gameplay, whereas greater physical load impaired movement accuracy and intensified score monitoring. Eye tracking could therefore serve as a feasible real-time marker of cognitive motor state that could drive adaptive difficulty in exergames.


 Citation

Please cite as:

Takei K

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

JMIR Rehabil Assist Technol 2026;13:e81667

DOI: 10.2196/81667

PMID: 42335460

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