Name
Abstract | ||
|---|---|---|
We present a novel method for the measurement of the similarity between aggregates of scanpaths. This may be thought of as a solution to the "average scanpath" problem. As a by-product of this method, we derive a classifier for groups of scanpaths drawn from various classes. This capability is empirically demonstrated using data gathered from an experiment in an attempt to automatically determine expert/novice classification for a set of visual tasks. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1145/1743666.1743691 | ETRA |
Keywords | Field | DocType |
novel method,various class,aggregate scanpaths,visual task,group-wise similarity,novice classification,average scanpath,eye tracking,classification,data gathering | Computer vision,Pattern recognition,Computer science,Eye tracking,Artificial intelligence,Classifier (linguistics),Machine learning | Conference |
Citations | PageRank | References |
12 | 0.87 | 11 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Grindinger | 1 | 12 | 1.20 |
| Andrew T. Duchowski | 2 | 835 | 142.62 |
| Michael Sawyer | 3 | 12 | 0.87 |