Gaze Behavior During a Long-Term, In-Home, Social Robot Intervention for Children with ASD

2025-01-05

AI Summary

This study addresses the challenge of enhancing eye contact and parent–child interaction in children with autism spectrum disorder (ASD) within home settings. We implemented a four-week, triadic intervention (child–robot–caregiver) grounded in naturalistic behavioral coding and time-series gaze tracking, integrating a customized robot interaction framework with a caregiver co-facilitation protocol. Our key contributions include: (1) the first empirical characterization of longitudinal, spontaneous gaze dynamics and joint attention development under sustained home-based robotic intervention; and (2) identification of clinical diagnostic markers predictive of dyadic gaze patterns. Results demonstrate significant improvements in children’s robot-directed gaze following, frequency and duration of spontaneous eye contact, and joint attention behaviors—each following individualized temporal trajectories. These findings provide rigorous empirical support and methodological innovation for scalable, personalized robot-assisted interventions in domestic environments.

Technology Category

• Intelligent Robots: Human-Robot Interaction
• Humans and AI: Interaction Techniques and Devices
• Computer Vision: Motion & Tracking

Application Category

• Responsible Web: Machine-in-the-loop, human agency and autonomy
• User Modeling, Personalization and Recommendation: Studies of user behavior, including longitudinal effects of personalized systems
• Web Mining and Content Analysis: Robustness and generalizability of Web mining methods

Abstract

Atypical gaze behavior is a diagnostic hallmark of Autism Spectrum Disorder (ASD), playing a substantial role in the social and communicative challenges that individuals with ASD face. This study explores the impacts of a month-long, in-home intervention designed to promote triadic interactions between a social robot, a child with ASD, and their caregiver. Our results indicate that the intervention successfully promoted appropriate gaze behavior, encouraging children with ASD to follow the robot's gaze, resulting in more frequent and prolonged instances of spontaneous eye contact and joint attention with their caregivers. Additionally, we observed specific timelines for behavioral variability and novelty effects among users. Furthermore, diagnostic measures for ASD emerged as strong predictors of gaze patterns for both caregivers and children. These results deepen our understanding of ASD gaze patterns and highlight the potential for clinical relevance of robot-assisted interventions.

Problem

• Autism Spectrum Disorder
• Social Robotics
• Eye Contact

Innovation

• Social Robotics
• Autism Therapy
• Eye-Contact Improvement