2 citations · 4 across the 4 of their papers we have counts for
8 papers
Fit Matters: Format-Distance Alignment Improves Conversational Search
Yitian Yang, Yugin Tan, Jung-Tai King +2
Existing conversational search systems can synthesize information into responses, but they lack principled ways to adapt response formats to users' cognitive states. This paper inv…
AI-exhibited Personality Traits Can Shape Human Self-concept through Conversations
Jingshu Li, Tianqi Song, Nattapat Boonprakong +3
Recent Large Language Model (LLM) based AI can exhibit recognizable and measurable personality traits during conversations to improve user experience. However, as human understandi…
Exploring the Effects of Chatbot Anthropomorphism and Human Empathy on Human Prosocial Behavior Toward Chatbots
Jingshu Li, Zicheng Zhu, Renwen Zhang +1
Chatbots are increasingly integrated into people's lives and are widely used to help people. Recently, there has also been growing interest in the reverse direction-humans help cha…
Timing Matters: How Using LLMs at Different Timings Influences Writers' Perceptions and Ideation Outcomes in AI-Assisted Ideation
Peinuan Qin, Chi-Lan Yang, Jingshu Li +2
Large Language Models (LLMs) have been widely used to support ideation in the writing process. However, whether generating ideas with the help of LLMs leads to idea fixation or ide…
Deconstructing Depression Stigma: Integrating AI-driven Data Collection and Analysis with Causal Knowledge Graphs
Han Meng, Renwen Zhang, Ganyi Wang +4
Mental-illness stigma is a persistent social problem, hampering both treatment-seeking and recovery. Accordingly, there is a pressing need to understand it more clearly, but analyz…
Mining Evidence about Your Symptoms: Mitigating Availability Bias in Online Self-Diagnosis
Junti Zhang, Zicheng Zhu, Jingshu Li +1
People frequently exposed to health information on social media tend to overestimate their symptoms during online self-diagnosis due to availability bias. This may lead to incorrec…