As a long-term research project, I am interested in understanding the knowledge structures that the human brain acquires about the organization of an environment. These structures are commonly called "internal models", or "internal representations" of the environment. My doctoral research, supervised by Robert Sekuler, focused on this problem, and proposed a new approach to estimate the internal models that a person acquired after interacting with a simple, computer-generated virtual object.
Main contributions of my research
The Internal model of a physical system
Internal models of virtual objects
Using dynamics to describe internal models
Problems to isolate the behavioral contribution of internal models
Learning to control the virtual object
Measuring subject's performance: ideal performers
