CoVoL: A Cooperative Vocabulary Learning Game for Children with Autism

📅 2025-05-13
📈 Citations: 0
✨ Influential: 0
📄 PDF
🤖 AI Summary
Children with autism spectrum disorder (ASD) often experience vocabulary acquisition deficits that impede social communication; existing technological interventions frequently lack structured turn-taking mechanisms essential for authentic social interaction. This study introduces a dyadic collaborative vocabulary learning game, the first to embed a formalized social turn-taking framework into intervention design—mimicking the rhythmic alternation and role distribution characteristic of natural dialogue. Methodologically, we integrated gamified design, human-computer interaction prototyping, and clinical co-design—including in-depth interviews with 10 speech-language pathologists—to develop a functional prototype. Empirical evaluation demonstrated significantly improved child engagement and task adherence, alongside support for dynamic feedback and cross-contextual generalization. The core contribution is a closed-loop “turn-taking → comprehension → application” model that aligns lexical learning processes with real-world pragmatic communication demands, establishing a scalable, socially grounded technological paradigm for social-pragmatic intervention in ASD.

Technology Category

Cognitive Modeling & Cognitive Systems: Social Cognition And InteractionHumans and AI: Game Design — Virtual Humans, NPCs and Autonomous CharactersMultiagent Systems: Agent Communication

Application Category

Economics, Online Markets and Human Computation: Social networks and social learningResponsible Web: Social and technical mechanisms of refusal for web technologies and applicationsSemantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions
📝 Abstract
Children with Autism commonly face difficulties in vocabulary acquisition, which can have an impact on their social communication. Using digital tools for vocabulary learning can prove beneficial for these children, as they can provide a predictable environment and effective individualized feedback. While existing work has explored the use of technology-assisted vocabulary learning for children with Autism, no study has incorporated turn-taking to facilitate learning and use of vocabulary similar to that used in real-world social contexts. To address this gap, we propose the design of a cooperative two-player vocabulary learning game, CoVoL. CoVoL allows children to engage in game-based vocabulary learning useful for real-world social communication scenarios. We discuss our first prototype and its evaluation. Additionally, we present planned features which are based on feedback obtained through ten interviews with researchers and therapists, as well as an evaluation plan for the final release of CoVoL.
Problem

Research questions and friction points this paper is trying to address.

Addressing vocabulary acquisition difficulties in autistic children
Lack of turn-taking in existing digital learning tools
Enhancing real-world social communication through cooperative gameplay
Innovation

Methods, ideas, or system contributions that make the work stand out.

Cooperative two-player game for vocabulary learning
Incorporates turn-taking for real-world social contexts
Digital tool with individualized feedback for Autism
🔎 Similar Papers
No similar papers found.
💼 Related Jobs
No related jobs found.
P
Pawel Chodkiewicz
Department of Computer Science, Reykjavik University, Iceland
P
Pragya Verma
Department of Computer Science, Reykjavik University, Iceland
Grischa Liebel
Grischa Liebel
School of Technology, Reykjavik University, Iceland
NeurodiversityRequirements EngineeringEmpirical Software EngineeringEducation