Hi, this is

Emily Kuang

ASSISTANT PROFESSOR · HCI RESEARCHER

Photo of Emily Kuang in a grey suit with medium brown hair

I am an Assistant Professor in the Department of Electrical Engineering and Computer Science at York University. I lead the COCOA (CO-Designing COllaborations with AI) Lab, where we explore how to design human-AI collaborative tools to enhance productivity, creativity, and accessibility.


I address real-world problems by integrating human-centered methodologies, such as interviews, surveys, and large-scale data analysis, with the design, development, and evaluation of novel tools. My research establishes a human-AI collaborative approach that combines AI's computational efficiency with the nuanced interpretation of human expertise. I also lead and collaborate on accessibility projects that promote inclusive computing education and develop assistive technologies for diverse users.


My research has been recognized by the Google PhD Fellowship in HCI (one of eight awarded globally in 2023), the inaugural RIT Outstanding Graduate Student Award (one of two PhD students schoolwide in 2024), and a Best Paper Honorable Mention (Top 5% at CHI 2024). I completed my PhD in Computing and Information Sciences at Rochester Institute of Technology, where I was also a member of the Center for Accessibility and Inclusion Research (CAIR). During my PhD, I interned at Autodesk Research, Meta Reality Labs, and Uncharted Software.


Research

For an updated list of publications, please see COCOA Lab Publications.

If you are interested in joining the COCOA lab, please read my Prospective Student page before contacting me.

🤝 Human-AI Collaboration in Design

Exploring how AI can augment the design process by supporting creativity, ideation, and decision-making while fostering effective collaboration between humans and intelligent systems.

Example papers →

♿ AI-Powered Assistive Technologies

Designing and evaluating AI-powered tools that empower people with disabilities, with a particular focus on supporting older adults and people who are blind or have low vision.

Example papers →

🎓 AI for Skills Training and Education

Investigating how AI can personalize learning experiences, provide intelligent feedback, and improve educational outcomes across a variety of learning contexts.

Example papers →

Teaching

I teach courses in Human-Computer Interaction, multimedia systems, and generative AI, emphasizing hands-on design, user-centered evaluation, and emerging interactive technologies.

Most Recent Offering: Winter 2026

EECS 3461
User Interfaces

An introduction to user interface design, prototyping, and evaluation. Students work in teams to design, build, and assess interactive systems.

Most Recent Offering: Winter 2026

EECS 4461
Multimedia Technology

Explores the design and application of multimedia computing systems, with special topics in human-AI interaction examined through current research literature.

To be Offered: Winter 2027

EECS 6321
Prompting and User-Centered Evaluation of Generative AI Systems

A graduate course designed by myself that examines prompting, evaluation, and human-centered interaction with generative AI systems from an HCI perspective.

Professional Service

I actively contribute to the Human-Computer Interaction community through conference organization, program committee service, and peer review for leading conferences and journals.

Organizing & Program Committees

  • Diversity & Inclusion Chair, ACM Conversational User Interfaces (CUI), 2026
  • Program Committee Member, ACM SIGACCESS Conference on Computers and Accessibility (ASSETS), 2026
  • Program Committee Member, Graphics Interface (GI), 2026
  • Associate Chair, ACM Conference on Human Factors in Computing Systems (CHI), 2026

Invited Reviewer

  • Conference on Human-AI Complementarity and Alignment (HCOMP)
  • Conference on Human Factors in Computing Systems (CHI)
  • Creativity & Cognition (C&C)
  • Designing Interactive Systems (DIS)
  • Symposium on User Interface Software and Technology (UIST)
  • Visualization & Visual Analytics (VIS)
  • Computer-Supported Cooperative Work and Social Computing (CSCW)
  • Interactive Surfaces and Spaces (ISS)
  • Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)
  • International Journal of Human-Computer Interaction (IJHCI)
  • Behaviour & Information Technology (BIT)
  • Frontiers in Computer Science
  • International Conference on Human-Engaged Computing (ICHEC)
  • Education

  • PhD - Rochester Insitute of Technology

    2020 - 2025

    Program: Computing and Information Sciences

    Advisors: Dr. Kristen Shinohara and Dr. Mingming Fan

  • BASc - University of Waterloo

    2015 - 2020

    Program: Biomedical Engineering

    Graduated with Distinction - Dean's Honour List

  • Selected Industry Experience

  • Research Intern - Autodesk Research

    May 2024 - Sept 2024

    - Worked on the HCI & Visualization Research Group

    - Led a mixed-methods research project on integrating generative AI into 3D computer-aided design

  • UX Research Intern - Meta Reality Labs

    May 2022 - Aug 2022 and May 2023 - Aug 2023

    - Worked on the Hardware UXR Team

    - Designed and conducted user studies on Ray-Ban | Meta smartglasses and Meta Quest 2