A Validation of Automatically-Generated Areas-of-Interest in Videos of a Face for Eye-Tracking Research.

ABSTRACT: When mapping eye-movement behavior to the visual information presented to an observer, Areas of Interest (AOIs) are commonly employed. For static stimuli (screen without moving elements), this requires that one AOI set is constructed for each stimulus, a possibility in most eye-tracker manufacturers' software. For moving stimuli (screens with moving elements), however, it is often a time-consuming process, as AOIs have to be constructed for each video frame. A popular use-case for such moving AOIs is to study gaze behavior to moving faces. Although it is technically possible to construct AOIs automatically, the standard in this field is still manual AOI construction. This is likely due to the fact that automatic AOI-construction methods are (1) technically complex, or (2) not effective eno

SUBMITTER: Hessels RS 

PROVIDER: S-EPMC6085555 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature