title: A generalized model for predicting postcompletion errors.
abstract: A postcompletion error is a type of procedural error that occurs after the main goal of a task has been accomplished. There is a strong theoretical foundation accounting for postcompletion errors (Altmann & Trafton, 2002; Byrne & Bovair, 1997). This theoretical foundation has been leveraged to develop a logistic regression model of postcompletion errors based on reaction time and eye movement measures (Ratwani, McCurry, & Trafton, 2008). This study further develops and extends this predictive model by (a) validating the model and the general set of predictors on a new task to test the robustness of the model, and (b) determining which specific theoretical components are most important to postcompletion error prediction.
authors.affiliation: Naval Research Laboratory, Fairfax, VirginiaDepartment of Psychology, George Mason University.
authors.forename: Raj M
authors.initials: RM
authors.lastname: Ratwani
authors.forename: J Gregory
authors.initials: JG
authors.lastname: Trafton
mesh_terms: D000328:Adult; D053483:Eye Movement Measurements / Q000706:statistics & numerical data; D006801:Humans; D016015:Logistic Models; D008960:Models, Psychological; D011597:Psychomotor Performance / Q000502:physiology*; D011930:Reaction Time / Q000502:physiology; D055815:Young Adult
keywords: Cognitive models; Eye tracking; Human error; Interruptions; Predictive models; Procedural error