Paper Info
Title
The lumière project: Bayesian user modeling for inferring the goals and needs of software users
Abstract
The Lumière 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 Lumière 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. Lumière prototypes served as the basis for the Ofice Assistant in the Microsoft Office '97 suite of productivity applications.
Year
Venue
Keywords
2013
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
bayesian user modeling,bayesian user model,project center,software application,harnessing probability,microsoft office,intelligent user interface,ofice assistant,bayesian model,computer user,computer software user,user model
DocType
Volume
ISBN
Journal
abs/1301.7385
1-55860-555-X
Citations 
PageRank 
References 
247
23.27
8
Authors
5
Search Limit
100247
Name
Order
Citations
PageRank
Eric Horvitz194021058.25
Jack Breese225123.96
David Heckerman369511419.21
David Hovel455463.98
Koos Rommelse535339.12