Validated predictive models of human error for password-related tasks could better inform password requirements for both government and civilian systems. Here, we build upon prior modeling work focused on disentangling the source of password entry errorsrecall errors versus motor execution errorsreported in behavioral studies. In the current work, we significantly modify the password rehearsal model previously reported by Greene and Tamborello (2015). The modified model is now ready to test with recent ACT-R typing modifications necessary for modeling password typing, i.e., the ability for ACT-R to type capital letters and symbols, and to make motor errors while doing so (Greene & Tamborello, 2015).
Proceedings of the 24th Conference on Behavior Representation in Modeling and Simulation
March 31-April 3, 2015
24th Conference on Behavior Representation in Modeling and Simulation (BRiMS 2015)
and Tamborello, F.
ACT-R Modeling of Password Entry Errors, Proceedings of the 24th Conference on Behavior Representation in Modeling and Simulation, Washington, DC
(Accessed February 24, 2024)