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.


Dec 15, 2023 I am visiting New Orleans to attend NeurIPS 2023.
Dec 8, 2023 Our case study paper on AI-based wheel styling was accepted to CHI 2024!
Nov 6, 2023 Our work on using GenAI and semantic diversity in design inspiration received a 🏆 best paper award at CI 2023!.
Oct 28, 2023 I am visiting Tokyo and Toyota city in Japan for a business trip (10/28-11/3) to multiple Toyota offices.
Oct 27, 2023 Two short papers on analogical inspirations and AI-assisted wheel styling were accepted at NeurIPS 2023 Machine Learning for Creativity and Design Workshop!.

selected publications


  1. 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
  2. ci2023.png
    DesignAID: Using Generative AI and Semantic Diversity for Design Inspiration
    Alice Cai, Steven R Rick, Jennifer L Heyman, Yanxia Zhang, Alexandre Filipowicz, Matthew Hong, Matthew Klenk, and Thomas Malone
    In Proceedings of The ACM Collective Intelligence Conference, 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