JMIR Publications

ABSTRACT

Background:

As Virtual Reality (VR) technology becomes increasingly prevalent, its potential for collecting objective behavioral data in psychiatric settings has been widely recognized. However, the lack of standardized methodologies limits reproducibility and data integration across studies, particularly in assessing attention deficit hyperactivity disorder (ADHD) and associated behaviors such as irritability and aggression.

Objective:

This study examines the utility of VR-based movement data to operationalize core ADHD symptoms (hyperactivity and inattention) and comorbid disruptive behaviors (irritability and aggression), aiming to identify reproducible and clinically actionable metrics.

Methods:

Forty-five children (mean age = 9.06 years, SD = 2.11; 14 female) participated, including 28 diagnosed with ADHD and 17 controls. Seven VR-derived movement variables were analyzed: average speed, acceleration, total distance, area occupied, distance between hands and head, frequency of movement, and time spent still. Correlation and regression analyses identified which variables best predicted ADHD symptoms and comorbid behaviors.

Results:

Total distance emerged as the strongest predictor of hyperactivity (β = 0.52, p < 0.01), while average speed was inversely associated with inattention (β = -0.45, p < 0.05) and positively correlated with aggression (β = 0.38, p < 0.05). More frequent but less intense movements predicted lower irritability (β = -0.41, p < 0.05) and aggression (β = -0.36, p < 0.05). These findings highlight consistent patterns, underscoring the potential of VR-derived movement variables as standardized metrics.

Conclusions:

This study emphasizes the importance of standardized VR methodologies to enhance reproducibility and data integration in psychiatric research. By identifying specific movement variables that reliably predict ADHD and comorbid behaviors, the findings establish a foundation for developing scalable VR tools for clinical assessment and intervention.