Communications of the ACM - Special issue on graphical user interfaces
Learning users' interests by unobtrusively observing their normal behavior
Proceedings of the 5th international conference on Intelligent user interfaces
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
Location-based spatial queries
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Implicit user profiling for on demand relevance feedback
Proceedings of the 9th international conference on Intelligent user interfaces
Implicit interaction profiling for recommending spatial content
Proceedings of the 13th annual ACM international workshop on Geographic information systems
AWeb Search Method using User Operation on Digital Maps
MDM '06 Proceedings of the 7th International Conference on Mobile Data Management
Continuous nearest neighbor search
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
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Advances in dynamic map interfaces have turned maps into interactive media. These dynamic interfaces respond to users' operations in real time, and present fully visualized geographic information. However, the current systems have only reacted to explicitly specified user intentions. For example, users have been required to elaborately specify visible layers to fully utilize a map interface. In contrast, we propose a method of adjusting the way a map interface is presented by estimating the users' intentions based on their operation history. By reducing their operations, the system facilitates the use of maps especially for novices. It is especially effective in online or mobile map interfaces, where it is difficult to adjust the presentation of the map interface, due to the limited bandwidth and the size of the interface. This paper specifically focuses on the trajectory, which is a series of panning operations, and discusses our inference of users' implicit intentions.