Article ID Journal Published Year Pages File Type
6203368 Vision Research 2015 13 Pages PDF
Abstract

•A model that incorporates an object's preferred viewing location (PVL) is proposed.•This object-based model predicts fixated locations in an independent data set.•In natural scenes, the object model is at par with the best early salience model.•When objects and features are dissociated, objects predict fixations better.•Fixation selection, and thus attention guidance, in natural scenes is object based.

Whether overt attention in natural scenes is guided by object content or by low-level stimulus features has become a matter of intense debate. Experimental evidence seemed to indicate that once object locations in a scene are known, salience models provide little extra explanatory power. This approach has recently been criticized for using inadequate models of early salience; and indeed, state-of-the-art salience models outperform trivial object-based models that assume a uniform distribution of fixations on objects. Here we propose to use object-based models that take a preferred viewing location (PVL) close to the centre of objects into account. In experiment 1, we demonstrate that, when including this comparably subtle modification, object-based models again are at par with state-of-the-art salience models in predicting fixations in natural scenes. One possible interpretation of these results is that objects rather than early salience dominate attentional guidance. In this view, early-salience models predict fixations through the correlation of their features with object locations. To test this hypothesis directly, in two additional experiments we reduced low-level salience in image areas of high object content. For these modified stimuli, the object-based model predicted fixations significantly better than early salience. This finding held in an object-naming task (experiment 2) and a free-viewing task (experiment 3). These results provide further evidence for object-based fixation selection - and by inference object-based attentional guidance - in natural scenes.

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