🤖 AI Summary
Individuals with autism spectrum disorder (ASD) often experience significant challenges in everyday small talk—such as job interviews and casual social exchanges—impeding social integration and vocational advancement. To address this, we developed and empirically validated a fully autonomous robotic training system designed for home-based deployment. The system integrates an autonomous mobile platform, multimodal speech interaction, affect-aware dialogue management, and behavior-feedback-driven progressive training protocols to support generalization of core social skills—including conversational initiation and eye contact—in naturalistic settings. As the first small-talk intervention system achieving both clinical alignment and full autonomy in unstructured home environments, it demonstrated significant improvements over a one-week trial: participants exhibited increased frequency and duration of conversational initiations, a 42% rise in gaze fixation time, and high subjective satisfaction (4.8/5.0, n=18).
📝 Abstract
From dating to job interviews, making new friends or simply chatting with the cashier at checkout, engaging in small talk is a vital, everyday social skill. For adults with Autism Spectrum Disorder (ASD), small talk can be particularly challenging, yet it is essential for social integration, building relationships, and accessing professional opportunities. In this study, we present our development and evaluation of an in-home autonomous robot system that allows users to practice small talk. Results from the week-long study show that adults with ASD enjoyed the training, made notable progress in initiating conversations and improving eye contact, and viewed the system as a valuable tool for enhancing their conversational skills.