3 citations · 6 across the 8 of their papers we have counts for
7 papers · 1 filter
Can I Trust My Body? A Three-Year Autoethnography of ChatGPT's Place in My Support System for Panic Attacks
Dongyijie Primo Pan, Pan Hui, Mirjana Prpa
People increasingly seek mental health support from large language models, yet little is known about their use across years of recurrent panic. We present a three-year analytic aut…
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.…
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…
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…
ELLMA-T: an Embodied LLM-agent for Supporting English Language Learning in Social VR
Mengxu Pan, Alexandra Kitson, Hongyu Wan +1
Many people struggle with learning a new language, with traditional tools falling short in providing contextualized learning tailored to each learner's needs. The recent developmen…
Persona-L has Entered the Chat: Leveraging LLM and Ability-based Framework for Personas of People with Complex Needs
Lipeipei Sun, Tianzi Qin, Anran Hu +5
We present Persona-L, a novel approach for creating personas using Large Language Models (LLMs) and an ability-based framework, specifically designed to improve the representation…
Human and LLM-Based Voice Assistant Interaction: An Analytical Framework for User Verbal and Nonverbal Behaviors
Szeyi Chan, Shihan Fu, Jiachen Li +4
Recent progress in large language model (LLM) technology has significantly enhanced the interaction experience between humans and voice assistants (VAs). This project aims to explo…