Xinyu Zhang

schoolUniversity of Californiabar_chart#2270 Global Rank

Total Papers

HCI Rank

#2270

Research Areas

Years Active

Recent Publications

Unveiling the Capabilities of Large Language Models in Simulating Student Behavioral Dynamics and Supporting Peer Feedback to Augment Task Performance

Large language models (LLMs) show promise as student simulators for learning research. Yet prior work offers only a coarse view, focusing mainly on predicting answer accuracy while overlooking finer-grained factors such as prior knowledge, contextual experience, and broader behavioral signals like sensory actions. Exp…

UIST '255th+ AuthorMid-Air Haptics (Ultrasonic) +1

UltraPoser: Pushing the Limits of IMU-based Full-Body Pose Estimation with Ultrasound Sensing on Consumer Wearables

Full-body motion capture using IMUs embedded in consumer wearables has the potential to enable convenient, on-the-go tracking with minimal instrumentation. However, the sparse placement of these devices on the body frame presents challenges such as limited body coverage, reduced motion feature diversity, and cumulativ…

CHI '25CorrespondingHuman-LLM Collaboration +1

Classroom Simulacra: Building Contextual Student Generative Agents in Online Education for Learning Behavioral Simulation

Student simulation supports educators to improve teaching by interacting with virtual students. However, most existing approaches ignore the modulation effects of course materials because of two challenges: the lack of datasets with granularly annotated course materials, and the limitation of existing simulation model…

CHI '25CorrespondingOnline Learning & MOOC Platforms +1

PeerEdu: Bootstrapping Online Learning Behaviors via Asynchronous Area of Interest Sharing from Peer Gaze

Human visual attention is susceptible to social influences. In education, peer effects impact student learning, but their precise role in modulating attention remains unclear. To this end, we have developed an online education system that provides visual feedback to students based on the area of interest sharing of pe…

CHI '23CorrespondingAI-Assisted Decision-Making & Automation +1

Augmenting Human Cognition with an AI-Mediated Intelligent Visual Feedback

In this paper, we introduce an AI-mediated framework that can provide intelligent feedback to augment human cognition. Specifically, we leverage deep reinforcement learning (DRL) to provide adaptive time pressure feedback to improve user performance in a math arithmetic task. Time pressure feedback could either improv…

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