12 papers
ScioMind: Cognitively Grounded Multi-Agent Social Simulation with Anchoring-Based Belief Dynamics and Dynamic Profiles
Yitian Yang, Yiqun Duan, Linghan Huang +4
Large language model (LLM)-based multi-agent simulation offers a powerful testbed for studying social opinion dynamics. Yet current approaches often adopt two contrasting methods:…
ConvScale: Conversational Interviews for Scale-Aligned Measurement
Peinuan Qin, Jingzhu Chen, Yitian Yang +3
Conversational interviews are commonly used to complement structured surveys by eliciting rich and contextualized responses, which are typically analyzed qualitatively. However, th…
Designing Computational Tools for Exploring Causal Relationships in Qualitative Data
Han Meng, Qiuyuan Lyu, Peinuan Qin +4
Exploring causal relationships for qualitative data analysis in HCI and social science research enables the understanding of user needs and theory building. However, current comput…
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 Human-LLM Synergy in Advancing Theory-driven Qualitative Analysis
Han Meng, Yitian Yang, Wayne Fu +3
Qualitative coding is a demanding yet crucial research method in the field of Human-Computer Interaction (HCI). While recent studies have shown the capability of large language mod…