Greetings! 👋

I'm Peiyu Zhang

HCI Researcher and Software Engineer

I am passionate about designing interfaces and systems that empower users to better harness emerging technologies such as AI and mixed reality. My research interests include human factors, multi-display interfaces in mixed reality, human-AI collaboration, and tangible interaction.

My Research

Combining Real and Virtual Displays: Effects of Spatial Layout and Task Load on Multitasking in Augmented Reality

In submission to CHI 26

Peiyu Zhang, Mohamad El Iskandarani, Sara Riggs
User study examining how AR display layouts, context switching, and task load affect multitasking performance and perceived workload.

The Effect of Layout on Visual Search in Augmented Reality Multi-Window Displays

In submission to IEEE TVCG

Peiyu Zhang, Mohamad El Iskandarani, Sara Riggs
User study examining how the spatial placement of multi-display AR, in relation to depth separation, information density, and the curvature of virtual multi-window displays, affects visual search performance.

Deep learning-assisted system improves practical effect in cervical cytopathology diagnosis: A comparative study of reading modes

Accepted to Modern Pathology

Zichen Ye, Peiyu Zhang, Ronggan Wei, Haiyan Niu, Hongxia Li, Mingjuan Wang, Sara Lu Riggs, and Peng Xue
User study evaluating how the timing of AI-provided information affects clinicians' performance and workload when diagnosing cervical cytology slides.

Multitasking Between Realities: An Examination of Multitasking Using Augmented Reality Under Different Task Demand Levels

HFES Annual Meeting (ASPIRE) 2025

Peiyu Zhang and Sara Riggs
User study investigating how augmented reality through OST-HMDs impacts multitasking performance and perceived workload across different levels of task demand.

MoiréTag: A Low-Cost Tag for High-Precision Tangible Interactions without Active Components

🏆 ACM ISS 2024 (Honorbale Mention Award)

Peiyu Zhang, Wen Ying, Sara Riggs, and Seongkook Heo
A computer-vision based touch force sensing method that supports the creation of tangible interfaces.

Chinese colposcopists' attitudes toward the colposcopic artificial intelligence auxiliary diagnostic system (CAIADS): A nation-wide, multi-center survey

Sage Digital Health

Huike Wang*, Zichen Ye*, Peiyu Zhang*, Xiaoli Cui, Mingyang Chen, Aiyuan Wu, Sara Lu Riggs, Peng Xue, and Youlin Qiao
A nation-wide questionnaire that collected clinicians' sociodemographic information and assess their awareness, attitudes, and acceptance toward AI-assisted diagnostic system.

Fringer: A finger-worn passive device enabling computer vision based force sensing using moiré fringes

UIST 2022 Poster

Peiyu Zhang, Wen Ying, and Seongkook Heo
A finger sleeve that physically visualizes the force to allow a camera to estimate the force without using any active sensors.