title: DynAOI: a tool for matching eye-movement data with dynamic areas of interest in animations and movies.
abstract: Analyzing gaze behavior with dynamic stimulus material is of growing importance in experimental psychology; however, there is still a lack of efficient analysis tools that are able to handle dynamically changing areas of interest. In this article, we present DynAOI, an open-source tool that allows for the definition of dynamic areas of interest. It works automatically with animations that are based on virtual three-dimensional models. When one is working with videos of real-world scenes, a three-dimensional model of the relevant content needs to be created first. The recorded eye-movement data are matched with the static and dynamic objects in the model underlying the video content, thus creating static and dynamic areas of interest. A validation study asking participants to track particular objects demonstrated that DynAOI is an efficient tool for handling dynamic areas of interest.
authors.affiliation: Knowledge Media Research Center, Konrad-Adenauer-Strasse 40, Tübingen, Germany. f.papenmeier@iwm-kmrc.de
authors.forename: Frank
authors.initials: F
authors.lastname: Papenmeier
authors.forename: Markus
authors.initials: M
authors.lastname: Huff
mesh_terms: D000328:Adult; D005133:Eye Movements / Q000502:physiology*; D005260:Female; D006801:Humans; D008297:Male; D009039:Motion Perception; D009040:Motion Pictures; D014584:User-Computer Interface