Citation

Meur OL, Baccino T. Behav. Res. Methods 2013; 45(1): 251-266.

Copyright

(Copyright © 2013, Holtzbrinck Springer Nature Publishing Group)

DOI

10.3758/s13428-012-0226-9

PMID

unavailable

Abstract

In this article, we are interested in the computational modeling of visual attention. We report methods commonly used to assess the performance of these kinds of models. We survey the strengths and weaknesses of common assessment methods based on diachronic eye-tracking data. We then illustrate the use of some methods to benchmark computational models of visual attention.

Language: en