A formal theory of plan recognition and its implementation
Reasoning about plans
A learning interface agent for scheduling meetings
IUI '93 Proceedings of the 1st international conference on Intelligent user interfaces
Agents that reduce work and information overload
Communications of the ACM
Finding interesting rules from large sets of discovered association rules
CIKM '94 Proceedings of the third international conference on Information and knowledge management
The EM algorithm for graphical association models with missing data
Computational Statistics & Data Analysis - Special issue dedicated to Toma´sˇ Havra´nek
Using explicit requirements and metrics for interface agent user model correction
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Principles of mixed-initiative user interfaces
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Interruptions as Multimodal Outputs: Which are the Less Disruptive?
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
User - interface agent interaction: personalization issues
International Journal of Human-Computer Studies
IEEE Intelligent Systems
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Autonomous Agent as Helper - Helpful or Annoying?
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
ACM Transactions on Computer-Human Interaction (TOCHI)
End-user adoption of animated interface agentsin everyday work applications
Behaviour & Information Technology
Efficient online learning and prediction of users' desktop actions
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
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
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
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To provide personalized assistance to users, interface agents have to learn not only a user's preferences and interests with respect to a software application, but also when and how the user prefers to be assisted. Interface agents have to detect the user's intention to determine when to assist the user, and the user's interaction and interruption preferences to provide the right type of assistance without hindering the user's work. In this work we describe a user profiling approach that considers these issues within a user profile and a decision making approach that enables the agent to choose the best type of assistance for a given user in a given situation. We also describe the results obtained when evaluating our proposal in the tourism domain, and we compare these results with some previous ones in the calendar management domain.