Our team project goal was to replicate the design process of an architect in the early stages of generating a custom house for a client. We developed an agent that tried to capture the client’s needs and expectations when interacting with the client. The output is a sketch that reflected not only explicit inputs from the client but also other background information such as common facts or learned knowledge. Part of the project requirements were to integrate aspects of cognitive science, and in our case, we implemented observed forms of Distribute Cognition and Emotion into Agent J.
We started without a good representation of the architectural process and, as we added new information, we updated our personal mental representations to match what we saw. As we learned more about the architectural process, as we interviewed across participants, and as specific elements were reiterated, different features of the process were reinforced and were implemented in Agent J, our architect AI agent.
Date: July 2016
Course: CS6795 Introduction to Cognitive Science
Skills: Qualitative Coding, Interviews, Observation, UX