Exploring Design Practice and Designerly Ways of Knowing
As a researcher with a design background, I study how design unfolds both as practice and as research. On the one hand, we focus on understanding and promoting effective design practice, such as exploring AI as a design material and tool. On the other hand, we examine designerly ways of knowing, namely how making, iteration, and critique generate knowledge within design research, HCI, and beyond. Using approaches such as research-through-design, probes, and annotated portfolios, we document rationales, failures, and pivots to produce intermediate-level insights (e.g., strong concepts and patterns). This work articulates design as a rigorous mode of inquiry that advances understanding of learning, creativity, and participation, while offering methodological guidance for evaluating and communicating practice-based contributions.
Relevant Publications
Yu, J. (2025). Participatory design revisited: Framings, key features, and its boundary with co-design. CoDesign, 1-30. https://doi.org/10.1080/15710882.2025.2573020
Qi, X., & Yu, J. (2025). Participatory design in human–computer interaction: Cases, characteristics, and lessons. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI ’25) (Article 804, pp. 1–26). Yokohama, Japan. https://doi.org/10.1145/3706598.3713436 (Best Paper Honorable Mention)
Zhou, Z., Li, Y., & Yu, J. (2024). Exploring the application of LLM-based AI in UX design: An empirical case study of ChatGPT. Human–Computer Interaction, 1–33. https://doi.org/10.1080/07370024.2024.2420991
