Name
Abstract | ||
|---|---|---|
In eye movement research in reading, the amount of data plays a crucial role for the validation of results. A methodological problem for the analysis of the eye movement in reading are blinks, when readers close their eyes. Blinking rate increases with increasing reading time, resulting in high data losses, especially for older adults or reading impaired subjects. We present a method, based on the symbolic sequence dynamics of the eye movements, that reconstructs the horizontal position of the eyes while the reader blinks. The method makes use of an observed fact that the movements of the eyes before closing or after opening contain information about the eyes movements during blinks. Test results indicate that our reconstruction method is superior to methods that use simpler interpolation approaches. In addition, analyses of the reconstructed data show no significant deviation from the usual behavior observed in readers. (C) 2008 American Institute of Physics. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1063/1.2890843 | CHAOS |
Keywords | Field | DocType |
eye movement,visual perception,binocular vision | Computer vision,Visual search,Video-oculography,Pupil,Eye tracking,Eye movement,Artificial intelligence,Cognition,Eye movement in reading,Sentence,Mathematics | Journal |
Volume | Issue | ISSN |
18 | 1 | 1054-1500 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. S. Baptista | 1 | 11 | 4.42 |
| Christiane Bohn | 2 | 0 | 0.34 |
| Reinhold Kliegl | 3 | 40 | 8.19 |
| Ralf Engbert | 4 | 9 | 4.22 |
| Jurgen Kurths | 5 | 118 | 8.09 |