CS295J/Proposal intros from class 9

Collaborative

We propose to integrate theories of cognition, models of perception, rules of design, and concepts from the discipline of human-computer interaction to develop a predictive model of user performance in interacting with computer software for visual and analytical work. Our proposed model comprises a set of computational elements representing components of human cognition, memory, or perception. The collective abilities and limitations of these elements can be used to provide feedback on the likely efficacy of user interaction techniques.

The choice of human computational elements will be guided by several models or theories of cognition and perception, including Gestalt, Distributed, Gibson, ???(where pathway, when pathway)???, ???working-memory???, ..., and ???. The list of elements will be extensible. The framework coupling them will allow for experimental predictions of utility of user interfaces that can be verified against human performance.

Coupling the system with users will involve a data capture mechanism for collecting the communications between a user interface and a user. These will be primarily event based, and will include a new low-cost camera-based eye-tracking system

During early development, existing interfaces will be evaluated manually to characterize their

(we need some way to specify interaction techniques...)