2 citations · 3 across the 7 of their papers we have counts for
9 papers · 1 filter
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…
AI-Based Speaking Assistant: Supporting Non-Native Speakers' Speaking in Real-Time Multilingual Communication
Peinuan Qin, Zicheng Zhu, Naomi Yamashita +3
Non-native speakers (NNSs) often face speaking challenges in real-time multilingual communication, such as struggling to articulate their thoughts. To address this issue, we develo…
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…