Understanding geospatial interests by visualizing map interaction behavior

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.

RecoMap

“…Additionally, RecoMap extends previous work on implicit feedback analysis [9,16] by considering context when making personalised recommendations. This approach has received little attention thus far.…”

“…This paper has described RecoMap, a spatial recommendation system that relies on implicit feedback analysis [9,16] in order to infer user interests and provide spatial recommendations. Its main contribution involves extending current techniques by incorporating user context to develop novel algorithms and personalise spatial contents.…”

“…On the other hand, in the field of implicit feedback analysis, CoMPASS [16] is a GIS application that monitors user interaction to recommend semantic groups of objects, such as layers, to users. Similarly, the system described by Mac Aoidh [9] registers user mouse interactions to elicit interests, with the intention of providing recommendations at the object level. PILGRIM [4] is another spatial-aware application which recommends web resources to users based on their location, relying on the spatial dimension of Web documents, with the assumption Figure 1: System architecture that proximity is relevant in interest determination.…”

Lessons learnt from collaboratively creating maps on a touch table

“…GIViz [1] is a visualization tool for analysing user interaction behaviour with a geospatial data set. The tool captures the user's mouse behaviour and then superimposes the information as visualizations on the spatial data similar to heat maps.…”

The Personal Equation of Complex Individual Cognition during Visual Interface Interaction

“…In all four groups, evaluations and comparative studies have largely focused on perception, motor learning, focal attention, target recognition and/or target acquisition. For example, musing behaviors were used as a predictor of user focus in a geospatial visualization [1]. Jeong et al compared two visualization tools to determine in which interface users were more efficient in finding outliers and identifying highly correlated items in a matrix [22].…”