Analysis of Design Corpora
A necessary condition of understanding how designers work is understanding how designers talk. We apply emerging techniques of analysis—including machine learning-based tools and information-theoretic approaches—on diverse corpora of design discussions in such diverse scenarios as designer-client meetings, educational settings, interviews, and think-aloud sessions. We explore word forms, expressions, topics, and themes related to the particularities of how designers talk, with a view to identifying the characteristics of design discussions.
Exploring Designer-AI Collaboration
Design conversation and dialogue are the site of a complex interplay of ideas, structures, meanings, and explorations—a natural place for ideas to develop. Design conversation is often also a way to “frame” problems and solutions, or in other words, to set a conceptual boundary around a design situation or allowing a design situation to be perceived in a certain way. Through this project we explore ways in which AI—specifically in the form of computer vision systems and language-model-based text generators—may influence how designers perceive a given ill-defined problem or their own iterations toward a solution.