30 citations · 32 across the 6 of their papers we have counts for
6 papers
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…
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…
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,…
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…
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…
Investigating Remote Hands-On Assistance for Collaborative Development of Embedded Systems
Yan Chen, Jasmine Jones
Developing embedded systems is a complex endeavor that frequently requires collaborative teamwork. With the rise of freelance work and the global shift towards remote work, the nee…