Layout appropriateness: guiding user interface design with simple task descriptions
Layout appropriateness: guiding user interface design with simple task descriptions
Split menus: effectively using selection frequency to organize menus
ACM Transactions on Computer-Human Interaction (TOCHI)
User interface design
Direct manipulation vs. interface agents
interactions
Principles of mixed-initiative user interfaces
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction
The Intelligent Interface for On-Line Electronic Medical Records Using Temporal Data Mining
HICSS '98 Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences-Volume 5 - Volume 5
The lumière project: Bayesian user modeling for inferring the goals and needs of software users
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
A comparison of static, adaptive, and adaptable menus
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Exploring the design space for adaptive graphical user interfaces
Proceedings of the working conference on Advanced visual interfaces
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The notion of an adaptive user interface, one that accommodates user needs based on knowledge of the task at hand, is compelling but difficult to make practical. This paper examines models of the utility (as balancing of cost and benefit) in the initiation of task-specific dialog based on conditional probability of user goals in context. Illustrations in this paper are based on an empirical model of General Practice (GP) medicine as derived from a large database of GP/patient encounters. Application is explored with respect to generation of dynamic pick-lists (intelligent split menus) of diagnoses in the context of patient reason for encounter (RFE); medication warning dialogs are also briefly addressed. Simulated data entry demonstrates the effectiveness of various adaptation options. Findings include significantly superior accuracy per item of varying-length cost/benefit based pick-lists as compared to fixed length pick-lists. We conclude with discussion of the power of empirical cost/benefit based adaptation to build user engagement and with future directions toward application in clinical practice information systems.