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cs.HC2025
Understanding Down Syndrome Stereotypes in LLM-Based Personas
Chantelle Wu, Peinan Wang, Nafi Nibras +6
We present a case study of Persona-L, a system that leverages large language models (LLMs) and retrieval-augmented generation (RAG) to model personas of people with Down syndrome.…
cs.HC2025★ 1 cited
Toward Scalable Patient Safety Training: A Prototype for Root Cause Analysis Simulation With AI Virtual Avatars
Yuqi Hu, Qiwen Xiong, Zhenzhen Qin +4
Patient safety training is essential for preparing healthcare professionals to identify, investigate, and prevent adverse events. However, conventional simulation-based approaches…
cs.HC2025★ 1 cited
Your voice is your voice: Supporting Self-expression through Speech Generation and LLMs in Augmented and Alternative Communication
Yiwen Xu, Monideep Chakraborti, Tianyi Zhang +3
In this paper, we present Speak Ease: an augmentative and alternative communication (AAC) system to support users' expressivity by integrating multimodal input, including text, voi…