OnMapGaze

The OnMapGaze dataset includes both experimental and analyzed gaze data collected during the observation of different cartographic backgrounds used in five online map services, including Google Maps, Wikimedia, Bing Maps, ESRI, and OSM, at three different zoom levels (12z, 14z, and 16z). The dataset also involves the computation of a new graph-based metric, called GraphGazeD, which is based on the utilization of aggregated gaze behavior data and aims to model visual perception differences. Our dataset aims to serve as an objective ground truth for feeding AI algorithms and developing computational models for predicting visual behavior during map reading. 

The dataset is freely distributed (under Creative Commons Attribution 4.0 International) to the scientific community via the following link:

https://zenodo.org/records/11520659 

A full description of both OnMapGaze dataset and GraphGazeD metric can be found in the article below:

Liaskos, D., & Krassanakis, V. (2024). OnMapGaze and GraphGazeD: A Gaze Dataset and a Graph-Based Metric for Modeling Visual Perception Differences in Cartographic Backgrounds Used in Online Map Services. Multimodal Technologies and Interaction, 8(6). https://doi.org/10.3390/mti8060049 

Sample visual stimuli:

Sample statistical grayscale heatmaps: