40 citations · 74 across the 15 of their papers we have counts for
16 papers
Alignment and Divergence between Humans and AI in Interpersonal Privacy Decisions
Hanxiang Zeng, Shuning Zhang, Xinyuan Zhou +5
AI assistants increasingly mediate interpersonal communication on behalf of their primary user, but they risk violating the privacy expectations of third-party information owners.…
Graphionale: How Graph Visualizations of LLM Rationales Affect Human Decision Making
Xinru Wang, Zhexuan Ma, Ming Yin +2
Large Language Models (LLMs) are increasingly equipped with augmented reasoning capabilities to generate rationales that support human decision-making. Yet these text-dense rationa…
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…
"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…
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…
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…
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…
"AI Afterlife" as Digital Legacy: Perceptions, Expectations, and Concerns
Ying Lei, Shuai Ma, Yuling Sun +1
The rise of generative AI technology has sparked interest in using digital information to create AI-generated agents as digital legacy. These agents, often referred to as "AI After…
Towards Feature Engineering with Human and AI's Knowledge: Understanding Data Science Practitioners' Perceptions in Human&AI-Assisted Feature Engineering Design
Qian Zhu, Dakuo Wang, Shuai Ma +4
As AI technology continues to advance, the importance of human-AI collaboration becomes increasingly evident, with numerous studies exploring its potential in various fields. One v…
Unpacking ICT-supported Social Connections and Support of Late-life Migration: From the Lens of Social Convoys
Ying Lei, Shuai Ma, Yuling Sun
Migration and aging-related dilemmas have limited the opportunities for late-life migrants to rebuild social connections and access support. While research on migrants has drawn in…
"Are You Really Sure?" Understanding the Effects of Human Self-Confidence Calibration in AI-Assisted Decision Making
Shuai Ma, Xinru Wang, Ying Lei +3
In AI-assisted decision-making, it is crucial but challenging for humans to achieve appropriate reliance on AI. This paper approaches this problem from a human-centered perspective…
Beyond Recommender: An Exploratory Study of the Effects of Different AI Roles in AI-Assisted Decision Making
Shuai Ma, Chenyi Zhang, Xinru Wang +2
Artificial Intelligence (AI) is increasingly employed in various decision-making tasks, typically as a Recommender, providing recommendations that the AI deems correct. However, re…
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…
Charting the Future of AI in Project-Based Learning: A Co-Design Exploration with Students
Chengbo Zheng, Kangyu Yuan, Bingcan Guo +4
The increasing use of Artificial Intelligence (AI) by students in learning presents new challenges for assessing their learning outcomes in project-based learning (PBL). This paper…
Competent but Rigid: Identifying the Gap in Empowering AI to Participate Equally in Group Decision-Making
Chengbo Zheng, Yuheng Wu, Chuhan Shi +3
Existing research on human-AI collaborative decision-making focuses mainly on the interaction between AI and individual decision-makers. There is a limited understanding of how AI…
Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making
Shuai Ma, Ying Lei, Xinru Wang +4
In AI-assisted decision-making, it is critical for human decision-makers to know when to trust AI and when to trust themselves. However, prior studies calibrated human trust only b…