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20232026
most citedCompetent but Rigid: Identifying the Gap in Empowering AI to Participate Equally in Group Decision-Making

40 citations · 74 across the 15 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.HC2024★ 3 cited

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…

cs.HC2024

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…

cs.HC2024

"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…

cs.HC2024★ 5 cited

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…

cs.HC2024★ 9 cited

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.HC2024★ 6 cited

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…