Name
Abstract | ||
|---|---|---|
Existing static visualization techniques for eye-tracking data do not make it possible to easily compare temporal information, that is, gaze paths. We review existing techniques and then propose a new technique that treats time as the prime attribute to be visualized. We successfully used the new technique for analysing the visual scanning of web search results listings. Based on our experiences, the new visualization is a valuable tool when the temporal order of visiting Areas of Interest (AOI) is the main focus in the analysis, the AOIs have a natural linear order, there are many AOIs to produce interesting patterns, and the AOIs fill most of the coordinate space being studied. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11555261_76 | INTERACT |
Keywords | Field | DocType |
temporal order,temporal information,main focus,temporal eye-tracking data,interesting pattern,static visualization technique,natural linear order,eye-tracking data,new visualization,prime attribute,new technique,linear order,eye tracking | Computer vision,Visual search,Gaze,Visualization,Computer science,Coordinate space,Temporal database,Eye tracking,Artificial intelligence,User interface,Multimedia,Creative visualization | Conference |
Volume | ISSN | ISBN |
3585 | 0302-9743 | 3-540-28943-7 |
Citations | PageRank | References |
24 | 1.99 | 5 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kari-jouko Räihä | 1 | 1221 | 365.36 |
| Anne Aula | 2 | 681 | 39.20 |
| Päivi Majaranta | 3 | 498 | 39.51 |
| Harri Rantala | 4 | 25 | 2.41 |
| Kimmo Koivunen | 5 | 24 | 2.33 |