GenRole: Personalizing Role Play for Educators Supporting Autistic Students’ Social Interaction Learning

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Authors: Yixuan Li, Keyi Zeng, Jiaqi Zong, Yingying Zhang, Hongzhu Deng, Li Wang, Xin Tong
Cited by: 1
References: 88

Abstract

Role-play is widely used to empower autistic children to explore social interaction and dynamics on their own terms, navigating neurotypical social conventions to shape social expressions in ways that align with their own traits and needs, fostering a stronger sense of agency. However, existing approaches typically rely on fixed content, requiring educators to design materials, which creates a significant burden on manual preparation. According to insights from a formative study, we developed GenRole, a generative AI system that enables educators to design personalized role play class activities. GenRole supports a progression from simple to complex interactions and allows for personalization of characters, settings, and dialogues that meet the needs of autistic learners. We conducted a pilot study with 16 educators, followed by a two-week evaluation study with 11 autistic children and their teachers. Results show that GenRole enhances the efficiency and flexibility of role play design while improving instructional support, offering design insights for creating personalized components that help educators deliver more engaging and individualized social interaction learning for autistic children.

Fields of Study & Subjects

Autism Spectrum Disorder Research Teaching and Learning Programming Social Robot Interaction and HRI

Publication details

Journal / source
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Pages
1–19
Publication date
13 April 2026
Language
EN