The Lumière Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users
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چکیده
The Lumiere Project centers on harnessing probability and utility to provide assistance to computer software users. We review work on Bayesian user models that can be em ployed to infer a user's needs by consider ing a user's background, actions, and queries. Several problems were tackled in Lumiere research, including ( 1) the construction of Bayesian models for reasoning about the time-varying goals of computer users from their observed actions and queries, (2) gain ing access to a stream of events from soft ware applications, (3) developing a language for transforming system events into observa tional variables represented in Bayesian user models, ( 4) developing persistent profiles to capture changes in a user's expertise, and (5) the development of an overall architecture for an intelligent user interface. Lumiere proto types served as the basis for the Office Assis tant in the Microsoft Office '97 suite of pro ductivity applications.
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تاریخ انتشار 1998