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

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IEEE2026-04-17 收录
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https://ieee-dataport.org/documents/dataset-cross-device-and-cross-subject-consistency-evaluation-visual-fixation-prediction
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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.
提供机构:
Mededovic, Emil; Konermann, Henning; Walter, Peter; Stegmaier, Johannes; Wu, Yuli
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