An Exploratory Analysis of Eye-Tracking During a Virtual Reality Social Cognition Intervention for Children with...

Area of Science:

• Neuroscience
• Developmental Psychology
• Biomedical Engineering

Background:

• Autism spectrum disorder (ASD) diagnosis relies on clinical judgment due to the absence of definitive biomarkers.
• Gaze patterns are being explored as potential objective biomarkers for ASD.
• Virtual reality (VR) offers novel platforms for social cognition interventions in autistic children.

Purpose of the Study:

• To explore eye-tracking data from a VR social cognition intervention for autistic children.
• To assess social orientation variations toward social stimuli.
• To investigate the links between gaze patterns, autistic traits, theory of mind (ToM), and task performance, including potential mediation by attentional mechanisms.

Main Methods:

• Exploratory analysis of eye-tracking data during a VR-based social cognition intervention.
• Evaluation of social orientation towards social stimuli.
• Statistical analysis of gaze patterns, autistic traits, ToM, task performance, and attentional mechanisms.

Main Results:

• An increase in social orientation time towards social stimuli was observed.
• Eye-tracking measures did not significantly predict autism symptom severity or ToM ability.
• Mediation analysis did not reveal a significant mediating effect of gaze patterns on task performance and autism severity.

Conclusions:

• VR is a promising tool for enhancing social orienting in autistic children.
• Further research is needed to validate eye-tracking measures as behavioral markers for predicting social cognition performance in ASD.
• The utility of gaze patterns as a direct biomarker for autism severity or ToM requires additional investigation.