Name
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1111/j.1756-8765.2009.01070.x | TOPICS IN COGNITIVE SCIENCE |
Keywords | Field | DocType |
Human error,Procedural error,Eye tracking,Cognitive models,Predictive models,Interruptions | Computer science,Robustness (computer science),Human error,Eye tracking,Eye movement,Artificial intelligence,Logistic regression | Journal |
Volume | Issue | ISSN |
2.0 | 1.0 | 1756-8757 |
Citations | PageRank | References |
8 | 0.84 | 8 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Raj M. Ratwani | 1 | 123 | 19.84 |
| J. Gregory Trafton | 2 | 52 | 6.18 |