naa a22 4500 510776477 CHVBK 20180411083232.0 cr unu---uuuuu 180411e20130301xx s 000 0 eng 10.3758/s13428-012-0226-9 doi (NATIONALLICENCE)springer-10.3758/s13428-012-0226-9 Methods for comparing scanpaths and saliency maps: strengths and weaknesses [Elektronische Daten] [Olivier Le Meur, Thierry Baccino] 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. Psychonomic Society, Inc., 2012 Saliency nationallicence Visual attention nationallicence Eye movement nationallicence Le Meur Olivier Université de Rennes 1. IRISA, Campus universitaire de Beaulieu, 35042, Rennes, France aut Baccino Thierry Thierry BACCINO, Université de Paris VIII, Laboratoire "Cognitions Humaine et Artificielle” - CHArt/LUTIN, 2, rue de la Liberté, 93526, St Denis Cedex 02, France aut Behavior Research Methods Springer-Verlag 45/1(2013-03-01), 251-266 45:1<251 2013 45 13428 https://doi.org/10.3758/s13428-012-0226-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.3758/s13428-012-0226-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Le Meur Olivier Université de Rennes 1. IRISA, Campus universitaire de Beaulieu, 35042, Rennes, France aut NATIONALLICENCE 700 1- Baccino Thierry Thierry BACCINO, Université de Paris VIII, Laboratoire "Cognitions Humaine et Artificielle” - CHArt/LUTIN, 2, rue de la Liberté, 93526, St Denis Cedex 02, France aut NATIONALLICENCE 773 0- Behavior Research Methods Springer-Verlag 45/1(2013-03-01), 251-266 45:1<251 2013 45 13428 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer