Matthew K. Hong

Human-Centered AI, Toyota Research Institute.


Dr. Matthew K. Hong is a research scientist on the Future Product Innovation team within the Human-Centered AI division at Toyota Research Institute. His research in human-centered AI is focused on democratizing domain specific knowledge to improve people’s daily practice and quality of living. Currently, he leads a team of designers, behavioral scientists, ML and HCI researchers to innovate the AI-assisted conceptual design process.

Matthew’s research has led to deployed technologies (e.g., HAX Playbook) and publications in leading conference proceedings and journals, including ACM SIGCHI JAMIA. Recently, his research on Human-AI interaction has been covered by the WIRED.

He holds a Ph.D. in Human-Centered Computing from Georgia Tech, Master’s in Human-Computer Interaction from Carnegie Mellon University, and a B.S. in Cognitive Science from the University of California, San Diego.


Aug 8, 2023 Our work on using generative AI and semantic diversity in design inspiration has been accepted at CI 2023!.
Jul 11, 2023 Our work on anticipatory thinking in design is published in AI magazine. Check out the paper here.
Jun 27, 2023 Happy to have been part of a multidisciplinary effort to chart a path forward for human-centered generative AI. ArXiv paper available here.
Jun 20, 2023 Happy to share our team’s media feature on the topic of AI-based design optimization with aerodynamics. Check out the media coverage here.
Mar 9, 2023 Workshop paper on generative AI for product design has been accepted as a panel talk at GenAI and HCI 2023. Full program available here.

selected publications


  1. Generative AI for Product Design: Getting the Right Design and the Design Right
    Matthew K. Hong, Shabnam Hakimi, Yan-Ying Chen, Heishiro Toyoda, Charlene Wu, and Matthew Klenk
    In arXiv preprint arXiv:2306.01217, 2023
  2. tochi2023.png
    Next Steps for Human-Centered Generative AI: A Technical Perspective
    Xiang ’Anthony’ Chen, Jeff Burke, Ruofei Du, Matthew K. Hong, Jennifer Jacobs, Philippe Laban, Dingzeyu Li, Nanyun Peng, Karl D. D. Willis, Chien-Sheng Wu, and  others
    arXiv preprint arXiv:2306.15774, 2023


  1. chi2021.png
    Planning for Natural Language Failures with the AI Playbook
    Matthew K Hong, Adam Fourney, Derek DeBellis, and Saleema Amershi
    In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 2021