3 citations · 7 across the 5 of their papers we have counts for
5 papers
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…
Navigating the Paradox: Challenges and Strategies of University Students Managing Mental Health Medication in Real-World Practices
Jiachen Li, Justin Steinberg, Elizabeth Mynatt +1
Mental health has become a growing concern among university students. While medication is a common treatment, understanding how university students manage their medication for ment…
"I Wish There Were an AI": Challenges and AI Potential in Cancer Patient-Provider Communication
Ziqi Yang, Xuhai Xu, Bingsheng Yao +4
Patient-provider communication has been crucial to cancer patients' survival after their cancer treatments. However, the research community and patients themselves often overlook t…
More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering
Bingsheng Yao, Guiming Chen, Ruishi Zou +7
While most existing works on LLM prompting techniques focus only on how to select a better set of data samples inside one single prompt input (In-Context Learning or ICL), why can…
"Mango Mango, How to Let The Lettuce Dry Without A Spinner?": Exploring User Perceptions of Using An LLM-Based Conversational Assistant Toward Cooking Partner
Szeyi Chan, Jiachen Li, Bingsheng Yao +5
The rapid advancement of Large Language Models (LLMs) has created numerous potentials for integration with conversational assistants (CAs) assisting people in their daily tasks, pa…