most citedTrusting the Search: Unraveling Human Trust in Health Information from Google and ChatGPT

13 citations · 14 across the 3 of their papers we have counts for

collaborators

5 papers

cs.HC2026

From Search Agents to Dissemination Interfaces: Understanding Human Trust in Health Information from Conversational Search

Xin Sun, Rongjun Ma, Xiaochang Zhao +5

Large Language Models (LLMs) deployed through Conversational User Interfaces (CUIs) are transforming health information-seeking by offering immediate, interactive experiences compa…

cs.HC2024

Script-Strategy Aligned Generation: Aligning LLMs with Expert-Crafted Dialogue Scripts and Therapeutic Strategies for Psychotherapy

Xin Sun, Jan de Wit, Zhuying Li +3

Chatbots or conversational agents (CAs) are increasingly used to improve access to digital psychotherapy. Many current systems rely on rigid, rule-based designs, heavily dependent…

cs.CL2024

Rethinking the Alignment of Psychotherapy Dialogue Generation with Motivational Interviewing Strategies

Xin Sun, Xiao Tang, Abdallah El Ali +5

Recent advancements in large language models (LLMs) have shown promise in generating psychotherapeutic dialogues, particularly in the context of motivational interviewing (MI). How…

cs.HC202413 cited

Trusting the Search: Unraveling Human Trust in Health Information from Google and ChatGPT

Xin Sun, Rongjun Ma, Xiaochang Zhao +4

People increasingly rely on online sources for health information seeking due to their convenience and timeliness, traditionally using search engines like Google as the primary sea…

cs.HC20241 cited

Can a Funny Chatbot Make a Difference? Infusing Humor into Conversational Agent for Behavioral Intervention

Xin Sun, Isabelle Teljeur, Zhuying Li +1

Regular physical activity is crucial for reducing the risk of non-communicable disease (NCD). With NCDs on the rise globally, there is an urgent need for effective health intervent…