Published: April 2, 2015
Author(s)
Kristen Greene (NIST), Franklin Tamborello (U.S. Naval Research Laboratory)
Conference
Name: 24th Conference on Behavior Representation in Modeling and Simulation (BRiMS 2015)
Dates: 03/31/2015 - 04/03/2015
Location: Washington, DC, United States
Citation: Proceedings of the 24th Conference on Behavior Representation in Modeling and Simulation,
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 errors—recall errors versus motor execution errors—reported 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).
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 errors—recall errors versus motor execution...
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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 errors—recall errors versus motor execution errors—reported 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).
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Keywords
ACT-R; human error; memory; typing
Control Families
None selected
