The Lumiere project: Bayesian user modeling for inferring the goals
and needs of software users
In Proceedings of the Fourteenth Conference on Uncertainty in Artificial
Intelligence, стр. 256--265. Morgan Kaufmann, (1998)Аннотация
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 Office Assistant in the Microsoft
Office '97 suite of productivity applications.
