Guerrilla HCI: using discount usability engineering to penetrate the intimidation barrier
Cost-justifying usability
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
The determinants of web page viewing behavior: an eye-tracking study
Proceedings of the 2004 symposium on Eye tracking research & applications
Usability tool for analysis of web designs using mouse tracks
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Proceedings of the 15th international conference on World Wide Web
Analysis of implicit interest indicators for spatial data
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
Understanding geospatial interests by visualizing map interaction behavior
Information Visualization
Deducing parameters for personalizing maps from map interaction patterns
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
Effects of variations in 3d spatial search techniques on mobile query speed vs. accuracy
W2GIS'12 Proceedings of the 11th international conference on Web and Wireless Geographical Information Systems
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As access to large quantities of detailed spatial information becomes more commonplace through popular Web-based map browsing systems, the need for automatic spatial information filtering processes grows. Particulary in the case of wireless access, a suitable filtering mechanism can assist the user by personalising the map contents, giving priority to the most relevant content and eliding less relevant content. We have developed a generic solution for implicitly obtaining an insight into a user's interests and intentions based on their mouse interactions with a Web-based map browsing interface. Results of a previously reported experiment showed visual patterns in interface interaction across multiple users. This has led us to develop a new categorisation of the user interactions that can serve as a basis for more accurately weighting user interest profiles. This paper proposes a classification scheme for user interactions according to their functional properties by describing a `mouse movement hierarchy'. The value of such a weighting is demonstrated by employing the hierarchy to make a new experimental analysis of a dataset of previously logged user interactions. By properly understanding sequences of interactions, implicit inferences about the user's interests can be made, leading to improved map personalisation, ultimately improving the user's experience by delivering the most relevant content to the user in a timely fashion.