Open AccessProceedings Article
The lumière project: Bayesian user modeling for inferring the goals and needs of software users
Eric Horvitz,Jack Breese,David Heckerman,David O. Hovel,Koos Rommelse +4 more
- pp 256-265
TLDR
The Lumiere Project as discussed by the authors harnesses probability and utility to provide assistance to computer software users by considering a user's background, actions, and queries, and develops persistent profiles to capture changes in user's expertise.Abstract:
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 employed to infer a user's needs by considering 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) gaining access to a stream of events from software applications, (3) developing a language for transforming system events into observational 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 prototypes served as the basis for the Ofice Assistant in the Microsoft Office '97 suite of productivity applications.read more
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