activity
20242026
collaborators

7 papers

cs.HC2026

Understanding Fortunetelling with Large Language Models in China: User Practices, Perceptions, and Impacts on Beliefs and Decisions

Xueer Lin, Chenyu Li, Shuai Ma +2

Fortunetelling is a cultural practice for navigating uncertainty, often associated with people's beliefs and decisions. Fortunetelling with recent large language models (LLMs) intr…

cs.HC2026

Exploring a Gamified Personality Assessment Method through Interaction with LLM Agents Embodying Different Personalities

Baiqiao Zhang, Xiangxian Li, Chao Zhou +8

The low-intrusion and automated personality assessment is receiving increasing attention in psychology and human-computer interaction fields. This study explores an interactive app…

cs.HC2026

"Shall We Dig Deeper?": Designing and Evaluating Strategies for LLM Agents to Advance Knowledge Co-Construction in Asynchronous Online Discussions

Yuanhao Zhang, Wenbo Li, Xiaoyu Wang +3

Asynchronous online discussions enable diverse participants to co-construct knowledge beyond individual contributions. This process ideally evolves through sequential phases, from…

cs.HC2025

Signaling Human Intentions to Service Robots: Understanding the Use of Social Cues during In-Person Conversations

Hanfang Lyu, Xiaoyu Wang, Nandi Zhang +5

As social service robots become commonplace, it is essential for them to effectively interpret human signals, such as verbal, gesture, and eye gaze, when people need to focus on th…

cs.HC2025

Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making

Shuai Ma, Qiaoyi Chen, Xinru Wang +4

In AI-assisted decision-making, humans often passively review AI's suggestion and decide whether to accept or reject it as a whole. In such a paradigm, humans are found to rarely t…

cs.HC2025

DBox: Scaffolding Algorithmic Programming Learning through Learner-LLM Co-Decomposition

Shuai Ma, Junling Wang, Yuanhao Zhang +2

Decomposition is a fundamental skill in algorithmic programming, requiring learners to break down complex problems into smaller, manageable parts. However, current self-study metho…