Dataset for Cross-Device and Cross-Subject Consistency Evaluation in Visual Fixation Prediction

This dataset accompanies the paper “Evaluating Cross-Device and Cross-Subject Consistency in Visual Fixation Prediction”. We collected eye gaze data using a 30Hz eye tracker embedded in the Aria Glasses (Meta Platforms, Inc., Menlo Park, CA, USA) on 300 images from the MIT1003 dataset, with each image viewed for 3 seconds by 9 subjects (age range 23-39 years), resulting in a total of 243,000 eye fixations. Besides, we also release the average saliency maps from the subjects' visual fixations. The fixation data is structured to allow for cross-device and cross-subject comparisons, enabling researchers to analyze variations in visual attention across different hardware setups and individual observers.