Understanding geospatial interests by visualizing map interaction behavior

Author:

Aoidh Eoin Mac1,Bertolotto Michela1,Wilson David C.2

Affiliation:

1. School of Computer Science and Informatics, University College Dublin, Ireland

2. Department of Software and Information Systems, University of North Carolina at Charlotte, U.S.A.

Abstract

Much information can be derived about users’ geospatial information requirements based on how they interact with a geospatial system. Our research focuses on the analysis of mouse movements and map navigation operations as a proxy to implicitly determine users’ interests. Visualization provides an effective way of investigating how these interactions can provide an insight into users’ preferences and task at hand. This article describes GIViz (Geospatial Interactions Visualizer), a visualization tool that enables system designers to analyze user interface behavior with a geospatial data set. Behavior traits identified can be exploited to improve map personalization engines. In particular, this article discusses the visualization of user interface behavior to gain a better understanding of the correlation between users’ actions, the interaction strategy employed for approaching a particular type of task and users’ interests.

Publisher

SAGE Publications

Subject

Computer Vision and Pattern Recognition

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Browsing target extraction and spatiotemporal preference mining from the complex virtual trajectories;International Journal of Applied Earth Observation and Geoinformation;2024-05

2. Browsing behavior modeling and browsing interest extraction in the trajectories on web map service platforms;Expert Systems with Applications;2022-06

3. A Map-Based Recommendation System and House Price Prediction Model for Real Estate;ISPRS International Journal of Geo-Information;2022-03-07

4. Approximate Query Answering Based on Topological Neighborhood and Semantic Similarity in OpenStreetMap;IEEE Access;2020

5. Querying Distributed GIS with GeoPQLJ based on GeoJSON;Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management;2019

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