Name
Abstract | ||
|---|---|---|
A GOMS analysis was used to predict the behavior of an expert in a graphic, machine-paced, highly interactive task. The analysis was implemented in a computational model using the Soar cognitive architecture. Using only the information available in an instruction booklet and some simple heuristics for selecting between operators, the functional-level behavior of the expert proved to be virtually dictated by the objects visible on the display. At the keystroke-level, the analysis predicted about 60% of the behavior, in keeping with similar results in previous GOMS research. We conclude that GOMS is capable of predicting expert behavior in a broader range of tasks than previously demonstrated. |
Year | DOI | Venue |
|---|---|---|
1992 | 10.1145/142750.142805 | human factors in computing systems |
Keywords | Field | DocType |
previous goms research,similar result,instruction booklet,goms analysis,soar cognitive architecture,expert behavior,computational model,interactive task,functional-level behavior,broader range | Computer science,Human processor model,Human–computer interaction,CPM-GOMS,GOMS,Multimedia | Conference |
ISBN | Citations | PageRank |
0-89791-513-5 | 19 | 4.26 |
References | Authors | |
3 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bonnie E. John | 1 | 1989 | 318.97 |
| Alonso H. Vera | 2 | 288 | 54.58 |