Measuring Fatigue Dynamics of Augmented Reality in the Digital Learning Era Using Motion Capture Data

In this digital learning era, Augmented Reality (AR) has become a significant driver of innovative user experience. However, the ergonomic implications of AR, particularly regarding the postural fatigue dynamics, have not been comprehensively addressed. This study investigates the correlation between prolonged AR engagement and the onset of postural fatigue, characterized by a backward shift in the center of mass (COM). Employing motion capture technology alongside cognitive load assessment tools such as the NASA Task Load Index and HoloLens eye-tracking, we seek to quantify the relationship between user posture, engagement duration, and perceived workload. We hypothesize that an observable rearward displacement of COM signifies escalating fatigue levels. The methodology integrates ergonomic analysis, biomechanics, and predictive modeling. Preliminary findings indicate a decline in postural stability with increased AR exposure, reinforcing the need for ergonomics interventions. This study underscores the necessity of ergonomic consideration in the design and use of AR systems to safeguard user well-being in educational settings.