Predictive human performance modeling made easy

Bonnie E. John, Konstantine Prevas, Dario D. Salvucci, Ken Koedinger
2004 Proceedings of the 2004 conference on Human factors in computing systems - CHI '04  
Although engineering models of user behavior have enjoyed a rich history in HCI, they have yet to have a widespread impact due to the complexities of the modeling process. In this paper we describe a development system in which designers generate predictive cognitive models of user behavior simply by demonstrating tasks on HTML mock-ups of new interfaces. Keystroke-Level Models are produced automatically using new rules for placing mental operators, then implemented in the ACT-R cognitive
more » ... ecture. They interact with the mock-up through integrated perceptual and motor modules, generating behavior that is automatically quantified and easily examined. Using a query-entry user interface as an example [19] , we demonstrate that this new system enables more rapid development of predictive models, with more accurate results, than previously published models of these tasks.
doi:10.1145/985692.985750 dblp:conf/chi/JohnPSK04 fatcat:wji5yntmendglfs3hc6rgy3pba