Chris Yue Fu

Chris Yue Fu

PhD candidate at University of Washington

chrisfu[AT]uw.edu

Welcome!

My name is Chris (Yue) Fu, and I am currently a Ph.D. candidate at the University of Washington. My research focuses on Human-AI collaboration, particularly I am interested in studying Human-AI Co-Creation and long-context, multi-turn communication between humans and AI. Key areas of domains include AI-mediated communication, AI-supported design, music production, learning, and sense-making. I also design and implement conversational agents. I work with Prof. Alexis Hiniker in the User Empowerment Lab. In addition, I have had the opportunity to collaborate with Prof. Wanda Pratt and Prof. Jacob O. Wobbrock, and Jin Ha Lee.


I am always open to collaborations and would love to hear your exciting ideas. If you’re interested in my research and collaborate with me, feel free to reach out!

Recent Publication View all

How College Students Use AI to Navigate Course Readings: Evidence from an Eight-Week Study

Yue Fu, Joel Wester, Niels van Berkel, and Alexis Hiniker

Human–Computer Interaction, Special Issue on Generative AI in Tools for Thought (To Appear). 2026

Decoupling of Usefulness and Novelty: Evaluating the Impact of Generative AI on Design Outputs and Designers’ Creative Thinking

Yue Fu, Tony Zhou, Bin Han, Marx Wang, Yixin Chen, Zelia Gomes Da Costa Lai, Rock Yuren Pang, Katharina Reinecke, Jacob O. Wobbrock, and Alexis Hiniker

CHI. 2026

More than Decision Support: Exploring Patients' Longitudinal Usage of Large Language Models in Real-World Healthcare Settings

Yancheng Cao, Yishu Ji, Yue Fu, Sahiti Dharmavaram, Meghan Turchioe, Natalie Benda, Lena Mamykina, Yuling Sun, and Xuhai Xu

CHI. 2026

The Engagement-Prolonging Designs Teens Encounter on Very Large Online Platforms

Yixin Chen, Yue Fu, Zeya Chen, Jenny Radesky, and Alexis Hiniker

CHI. 2026

Exploring the Collaborative Co-Creation Process with AI: A Case Study in Novice Music Production

Yue Fu, Michele Newman, Lewis Going, Qiuzi Feng, and Jin Ha Lee

DIS. 2025

Understanding Privacy Norms Around LLM-Based Chatbots: A Contextual Integrity Perspective

Sarah Tran, Hongfan Lu, Isaac Slaughter, Bernease Herman, Aayushi Dangol, Yue Fu, Lufei Chen, Biniyam Gebreyohannes, Bill Howe, Alexis Hiniker, Nicholas Weber, and Robert Wolfe

AIES. 2025

What Social Media Use Do People Regret? An Analysis of 34K Smartphone Screenshots with Multimodal LLM

Longjie Guo, Yue Fu, Xiran Lin, Xuhai "Orson" Xu, Yung-Ju Chang, and Alexis Hiniker

CHI. 2025

Understanding Children's Avatar Making in Social Online Games

Yue Fu, Samuel Schwamm, Amanda Baughan, Nicole M Powell, Zoe Kronberg, Alicia Owens, Emily Emily Renee Izenman, Dania Alsabeh, Elizabeth Hunt, Michael Rich, David Bickham, Jenny Radesky, and Alexis Hiniker

CHI. 2025

Dirty Dishes and Disturbances: Can AI Keep the Peace?

Ayan Mohamed Nuur Ali, Kristine Broberg Agerbo, Joel Wester, Yue Fu, Rune Møberg Jacobsen, and Niels van Berkel

DIS Fostering Eudaimonia: Design to Support Virtues and Practical Wisdom Workshop. 2025

Supporting Students' Reading and Cognition with AI

Yue Fu, and Alexis Hiniker

CHI Workshop on Tools for Thought. 2025

Recent News View all

2026-07

I will be at UC Berkeley for the Agentic AI Summit in the beginning of August. It is exciting to be back at Berkeley again — if you are attending or are around the Bay Area and would like to chat, please reach out!

2026-05

I went to Australia and visited several campuses along the way, including the University of Sydney, the University of Melbourne, the University of Technology Sydney, UNSW Sydney, and La Trobe University. Thanks to everyone who took the time to meet and share their work!

2026-05

I visited MBZUAI in Abu Dhabi. It was a pleasure to meet the researchers there and hear about what they are building.

2026-04
2026-04

I began an AI research residency at Maincode, an AI research lab in Melbourne, working remotely with the team.

Teaching

Cognitive and Behavioral Change in the AI Era, INFO 498 F, Instructor on Record, Winter 2025

I designed and taught this special topic class (see syllabus), which explores how AI tools are reshaping human cognition and behavior. The course examines the rapid evolution of AI and its profound influence on how we work, think, and interact. Through this class, students are encouraged to deeply reflect on how AI tools have already transformed our lives and how they might continue to do so in the coming decades. The goal is to equip students with both the critical thinking and practical AI skills needed to adapt to these changes thoughtfully and effectively.


The course combines hands-on studio tasks with reflective learning. Students experiment with a variety of AI tools for tasks such as writing literature reviews, enhancing interpersonal communication, and engaging in creative projects like designing advertisements or generating movie storyboards. Weekly reflections help students critically evaluate their use of AI tools over the academic quarter. Students’ final projects includes innovative ideas such as privacy-aware features for chat-based systems, AI-human therapy apps, social media influencers powered by AI-generated animal videos, and AI-driven marketing automation for small businesses. This course provides a blend of creativity, critical thinking, and practical application.


Beyond Research

Beyond my academic research, I like a wide range of activities. I enjoy drawing pencil sketches, playing piano, guitar, and drums. I am also a certified Yoga teacher (YTT 200) and play badminton frequently. I hike, windsurf, sail in the summer, and snowboard or ski in the winter. Before pursuing my Ph.D., I worked as a project manager in the San Francisco Bay Area for several years. Moving to Seattle for my Ph.D. has been a great experience, and I really enjoy the journey of academic life.