LLM-Powered AI Tutors with Personas for d/Deaf and Hard-of-Hearing Online Learners

Research / Other Relevance: 6/10 3 cited 2024 paper

This paper explores how d/Deaf and Hard-of-Hearing (DHH) learners interact with LLM-powered AI tutors that have different personas representing varying experiences in DHH education, focusing on accessibility preferences and cultural knowledge through a user study with 16 DHH participants. The study examines interaction patterns, transparency needs, and multimodal support requirements (especially sign language) for DHH learners using AI tutoring systems.

Intelligent tutoring systems (ITS) using artificial intelligence (AI) technology have shown promise in supporting learners with diverse abilities. Large language models (LLMs) provide new opportunities to incorporate personas to AI-based tutors and support dynamic interactive dialogue. This paper explores how DHH learners interact with LLM-powered AI tutors with different experiences in DHH education as personas to identify their accessibility preferences. A user study with 16 DHH participants s

Study Type

Research / Other

Tool Types

AI Tutors 1-to-1 conversational tutoring systems.

Tags

tutoring dialogue evaluationcomputer-science