Although many visual attention models have been proposed, very few saliency models investigated the impact of audio information. To develop audio-visual attention models, researchers need to have a ground truth of eye movements recorded while exploring complex natural scenes in different audio conditions. They also need tools to compare eye movements and gaze patterns between these different audio conditions.
This paper describes a toolbox that answer these needs by proposing a new eye-tracking dataset and its associated analysis ToolBox that contains common metrics to analysis eye movements.