OnMapGaze and GraphGazeD: A Gaze Dataset and a Graph-Based Metric for Modeling Visual Perception Differences in Cartographic Backgrounds Used in Online Map Services-Reference-Cited by-同舟云学术

OnMapGaze and GraphGazeD: A Gaze Dataset and a Graph-Based Metric for Modeling Visual Perception Differences in Cartographic Backgrounds Used in Online Map Services

Published:2024-06-13 Issue:6 Volume:8 Page:49
ISSN:2414-4088
Container-title:Multimodal Technologies and Interaction
language:en
Short-container-title:MTI

Author:

Liaskos Dimitrios¹^ORCID,Krassanakis Vassilios¹^ORCID

Affiliation:

1. Department of Surveying and Geoinformatics Engineering, School of Engineering, University of West Attica, 28 Agiou Spyridonos Str., 12243 Egaleo, Greece

Abstract

In the present study, a new eye-tracking dataset (OnMapGaze) and a graph-based metric (GraphGazeD) for modeling visual perception differences are introduced. The 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 computation of the new metric is based on the utilization of aggregated gaze behavior data. Our dataset aims to serve as an objective ground truth for feeding artificial intelligence (AI) algorithms and developing computational models for predicting visual behavior during map reading. Both the OnMapGaze dataset and the source code for computing the GraphGazeD metric are freely distributed to the scientific community.

Publisher

MDPI AG

Link

https://www.mdpi.com/2414-4088/8/6/49/pdf

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