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20242026
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cs.HC2026

Assistant or Actor? Student Trust, Control, and Delegation Regret When Using a General-Purpose AI Agent

Shiva Pochampally, Shengwei An, Yan Chen

When AI agents shift from answering questions to taking actions, users face a new problem: deciding what to delegate, to a system whose action space they cannot fully anticipate. W…

cs.HC2026

Designing and Evaluating Next-Generation Learning Interfaces: Linking AI, HCI, and the Learning Sciences

Meng Xia, Yan Chen, Qiao Jin +5

This workshop addresses this gap by bringing together researchers and practitioners from AI, HCI, and the learning sciences to explore how interactive systems can better support le…

cs.HC2026

Human-Human-AI Triadic Programming: Uncovering the Role of AI Agent and the Value of Human Partner in Collaborative Learning

Taufiq Daryanto, Xiaohan Ding, Kaike Ping +4

As AI assistance becomes embedded in programming practice, researchers have increasingly examined how these systems help learners generate code and work more efficiently. However,…

cs.HC2025

Assistance or Disruption? Exploring and Evaluating the Design and Trade-offs of Proactive AI Programming Support

Kevin Pu, Daniel Lazaro, Ian Arawjo +4

AI programming tools enable powerful code generation, and recent prototypes attempt to reduce user effort with proactive AI agents, but their impact on programming workflows remain…

cs.HC2024

Generative Co-Learners: Enhancing Cognitive and Social Presence of Students in Asynchronous Learning with Generative AI

Tianjia Wang, Tong Wu, Huayi Liu +2

Cognitive presence and social presence are crucial for a comprehensive learning experience. Despite the flexibility of asynchronous learning environments to accommodate individual…