Portrait

Chao Zhang

Ph.D. Student @ Cornell

I build AI systems that keep humans thinking.

I am a fourth-year Ph.D. student in the Bowers School of Computing and Information Science at Cornell University. I am fortunate to be advised by Professors Abe Davis and Jeff Rzeszotarski. During my Ph.D., I interned at Google DeepMind, Adobe Research and Microsoft Research.

My research builds AI systems with useful friction for thoughtful human-AI interaction: an interaction paradigm that sustains the value of human thinking in the age of AI. As AI makes it increasingly easy to outsource cognitive work, people can bypass the very processes through which they develop judgment, build skills, and deepen understanding. I design interactive AI systems that strategically introduce friction at moments when human thinking is valuable, while allowing AI to reduce effort elsewhere.

For example, my work investigates how such friction can help people critically examine biases in AI-assisted decision-making (e.g., Interactive Explainable Ranking), remain actively engaged in reflection rather than defaulting to convenient AI answers (e.g., Friction), and preserve meaningful human control over AI-assisted work (e.g., Narrative Keyframing). Together, this work asks a broader question: as AI makes more of our thinking optional, how should we build AI systems that preserve the parts of thinking that remain valuable for us to do ourselves?

My work has been published in top-tier HCI venues, such as CHI, UIST, and CSCW. This includes six award-winning papers: a Best Paper at CHI ’26, a Best Paper at CSCW ’24, two Best Paper Honorable Mentions at CHI ’25, and two Best Short Papers at IDC ’24 and ’25. My projects have also been recognized with international design awards, such as Red Dot Award, iF Design Award, A’ Design Award, and James Dyson Award, and have been featured at notable events, including Dubai Design Week and China Design Exhibition.

NEWS

07/2026

Serving as an AC for CHI '27.

07/2026

"Narrative Keyframking" and "Malleable Prompting" conditionally accepted to UIST '26.

03/2026

"Interactive Explainable Ranking" received a Best Paper Award at CHI '26.

01/2026

"IER," "EvaluAId," and "Narrix" conditionally accepted to CHI '26.

01/2026

Serving as an AC for IDC '26.

01/2026

Joining Google DeepMind as a student researcher in Mountain View.

07/2025

"Synthia: Visually Interpreting and Synthesizing Feedback for Writing Revision" conditionally accepted to UIST '25.

06/2025

"Hey Curio, Can You Tell Me More?": Children's Information-Seeking and Trust in AI" received a Best Short Paper Award at IDC '25.

05/2025

Joining Adobe Research as a research intern in San Jose.

05/2025

"Navigating the Fog: How University Students Recalibrate Sensemaking Practices to Address Plausible Falsehoods in LLM Outputs" accepted to CUI '25.

03/2025

Joining Microsoft Office of Applied Research as a research intern remotely.

01/2025

"Friction: Deciphering Writing Feedback into Writing Revisions through LLM-Assisted Reflection" conditionally accepted to CHI '25.

01/2025

Three papers "BrickSmart", "CharacterCritique", and "DiSandbox" conditionally accepted to CHI '25.

11/2024

"From Awareness to Action: Exploring End-User Empowerment Interventions for Dark Patterns in UX" received a Best Paper Award at CSCW '24.

07/2024

Built a tool with Dr. David Mimno to compare LLM vocabularies. Check it out at token-board.chaozhang.design

06/2024

"See, Hear, Touch, Smell, and,...Eat." received a Best Short Paper Award at IDC '24.

05/2024

Attending CHI '24.

01/2024

"Mathemyths" and "Wrist-bound Guanxi, Jiazu, and Kuolie" conditionally accepted to CHI '24.

09/2023

"From Awareness to Action: Exploring End-User Empowerment Interventions for Dark Patterns in UX" accepted to CSCW '24.

06/2023

Starting my Ph.D. at Cornell this fall.

03/2023

"Observe It, Draw It: Scaffolding Children's Observations of Plant Biodiversity with an Interactive Drawing Tool" accepted to IDC '23.

01/2023

"What Makes Creators Engage with Online Critiques? Understanding the Role of Artifacts' Creation Stage, Characteristics of Community Comments, and their Interactions" accepted to CHI '23.

01/2023

"MathKingdom: Teaching Children Mathematical Language Through Speaking at Home via a Voice-Guided Game" accepted to CHI '23.

01/2023

"MechCircuit: Augmenting Laser-Cut Objects with Integrated Electronics, Mechanical Structures and Magnets" accepted to CHI '23.

08/2022

"SSpoon: A Shape-changing Spoon That Optimizes Bite Size For Eating Rate Regulation" accepted to IMWUT '22.

07/2022

Started research internship in HCI group @ HKUST with Prof. Xiaojuan Ma.

06/2022

Working with Prof. Toby Jia-jun Li in SaNDwich Lab @ NDCSE.

03/2022

Presented "StoryDrawer: A Child-AI Collaborative Drawing System to Support Children's Creative Visual Storytelling" at CHI '22.

11/2022

First first-authored paper "StoryDrawer: A Child-AI Collaborative Drawing System to Support Children's Creative Visual Storytelling" conditionally accepted to CHI '22.

11/2022

Design works "Silent Delivery" and "To Life" exhibited at 2022 Dubai Design Week.

Publication

* denotes equal contribution

UIST 2026
Narrative Keyframing for Generative Creative Writing
Chao Zhang and Abe Davis
Narrative Keyframing for Generative Creative Writing

UIST 2026
From Words to Widgets for Controllable LLM Generation
Chao Zhang*, Yiren Liu*, Lunyiu Nie*, Jeffrey M Rzeszotarski, Yun Huang, and Tal August
From Words to Widgets for Controllable LLM Generation

CHI 2026Best Paper Award
Interactive Explainable Ranking
Chao Zhang and Abe Davis
Interactive Explainable Ranking

CHI 2026
Narrix: Remixing Narrative Strategies from Examples for Story Writing
Chao Zhang, Shunan Guo, Abe Davis, and Eunyee Koh
Narrix: Remixing Narrative Strategies from Examples for Story Writing

CHI 2026
EvaluAId: Human-AI Collaborative Evaluation of Open-Ended Student Essays
Chao Zhang*, Kexin Ju*, Xinyi Lu, Yu-Chun Grace Yen, and Jeffrey M. Rzeszotarski
EvaluAId: Human-AI Collaborative Evaluation of Open-Ended Student Essays

UIST 2025
Synthia: Visually Interpreting and Synthesizing Feedback for Writing Revision
Chao Zhang, Kexin Ju, Zhuolun Han, Yu-Chun Grace Yen, and Jeffrey M. Rzeszotarski
Synthia: Visually Interpreting and Synthesizing Feedback for Writing Revision

CHI 2025
Friction: Deciphering Writing Feedback into Writing Revisions through LLM-Assisted Reflection
Chao Zhang, Kexin Ju, Peter Bidoshi, Yu-Chun Grace Yen, and Jeffrey M. Rzeszotarski
Friction: Deciphering Writing Feedback into Writing Revisions through LLM-Assisted Reflection