Proceedings of the 6th international conference on Intelligent user interfaces
Cheese: tracking mouse movement activity on websites, a tool for user modeling
CHI '01 Extended Abstracts on Human Factors in Computing Systems
What can a mouse cursor tell us more?: correlation of eye/mouse movements on web browsing
CHI '01 Extended Abstracts on Human Factors in Computing Systems
Implicit interaction profiling for recommending spatial content
Proceedings of the 13th annual ACM international workshop on Geographic information systems
Usability tool for analysis of web designs using mouse tracks
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Improving archaeological heritage information access through a personalised GIS interface
W2GIS'06 Proceedings of the 6th international conference on Web and Wireless Geographical Information Systems
Understanding geospatial interests by visualizing map interaction behavior
Information Visualization
A Study of Spatial Interaction Behaviour for Improved Delivery of Web-Based Maps
W2GIS '09 Proceedings of the 9th International Symposium on Web and Wireless Geographical Information Systems
RecoMap: an interactive and adaptive map-based recommender
Proceedings of the 2010 ACM Symposium on Applied Computing
Semantically enriching VGI in support of implicit feedback analysis
W2GIS'11 Proceedings of the 10th international conference on Web and wireless geographical information systems
A web-based visualisation tool for analysing mouse movements to support map personalisation
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications
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Information overload is a pervasive problem in many application domains. One way of addressing this problem is to create user profiles that filter out irrelevant information while presenting the users with information matching their interests. This approach has not been widely exploited in GIS. In our spatial application, we log user interactions, and implicitly infer their interests from this information to generate a user interest model. In particular, mouse movements and map browsing behaviour are analysed. Experiments presented in this paper examine the accuracy of implicitly determined spatial interests. Personalisation techniques can subsequently be applied to provide users with the most relevant information with regard to their interests.