Preclinical Dialogue Simulation: Evaluating Response Accessibility in Conversational Artificial Intelligence for Aphasia Therapy.

Purpose: Large language model (LLM)-driven conversational agents are increasingly considered for use in clinical contexts, yet systematic approaches for evaluating their behavior in impairment-rich, speech-based therapeutic interactions remain limited. This study extends the Agent-Based Conversation...

Full description

Bibliographic Details
Published in:	Journal of Speech, Language & Hearing Research Vol. 69; no. 8; pp. 3781 - 3797
Main Authors:	Imaezue, Gerald C., Maram, Krishna V., Ajayi, David, Alohali, Isra, Butta, Rajesh K.
Format:	Article
Published:	American Speech-Language-Hearing Association Aug2026
Subjects:	Artificial intelligence Readability (Literary style) Communicative disorders Communication devices for people with disabilities Statistical models Rehabilitation of aphasic persons Benchmarking (Management) Research evaluation Natural language processing Speech-language pathology Simulation methods in education Data analysis software Speech therapy Regression analysis Sensitivity & specificity (Statistics)
Online Access:	View this record in EBSCOhost