Name
Abstract | ||
|---|---|---|
The effectiveness of a system refers to the accuracy and completeness with which users achieve specified goals. These two aspects are interpreted as errors and completion in the context of usability testing. However, a holistic view of effectiveness is not straight forward to establish in a comparative test because the two measures focus on different aspects of user outputs. In this paper, we propose a predictive method to measure a system's relative effectiveness based on its own performance prediction. We achieve it by using an adapted confusion matrix to establish a correlation model between the two measures. A real-world use case is provided to demonstrate the usefulness of our method in a comparative study of the two websites. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-39229-0_32 | HCI (9) |
Keywords | Field | DocType |
different aspect,comparative study,own performance prediction,confusion matrix,correlation model,comparative test,relative effectiveness,holistic view,real-world use case,predictive method | Data mining,Confusion matrix,Computer science,Usability,Performance prediction,Completeness (statistics) | Conference |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nan Jiang | 1 | 17 | 6.01 |
| Haibin Liu | 2 | 0 | 0.34 |