Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
A Bayesian model of plan recognition
Artificial Intelligence
COACH: a teaching agent that learns
Communications of the ACM
Decision-theoretic troubleshooting
Communications of the ACM
Continual computation policies for utility-directed prefetching
Proceedings of the seventh international conference on Information and knowledge management
MailCat: an intelligent assistant for organizing e-mail
Proceedings of the third annual conference on Autonomous Agents
Exploring the Web with reconnaissance agents
Communications of the ACM
Empirical Evaluation of User Models and User-Adapted Systems
User Modeling and User-Adapted Interaction
User Modeling for Adaptive News Access
User Modeling and User-Adapted Interaction
User interfaces and help systems: from helplessness to intelligent assistance
Artificial Intelligence Review
Autonomous Agents and Multi-Agent Systems
UAI '89 Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence
Model-Based Influence Diagrams for Machine Vision
UAI '89 Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence
Seeking and implementing automated assistance during the search process
Information Processing and Management: an International Journal
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Content analysis schemes to analyze transcripts of online asynchronous discussion groups: A review
Computers & Education - Methodological issue in researching CSCL
User models for adaptive hypermedia and adaptive educational systems
The adaptive web
Usability engineering for the adaptive web
The adaptive web
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
A decomposition model for the layered evaluation of interactive adaptive systems
UM'05 Proceedings of the 10th international conference on User Modeling
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Users presented with a system equipped with many advanced features and vast collections of searchable documents often have problems getting to the information they seek. Our studies with intelligence analysts using the Rosetta Web-based information access system revealed inefficiencies in the way they used the tool. Motivated by that observation, we implemented a prototype of an intelligent software agent that monitors the behavior of users with a goal of generating real-time suggestions to improve their performance. To evaluate the agent's ability to predict the changes in the analysts' performance, we compared it to the judgment of human domain experts. The results revealed evidence of substantial disagreement among human judges. We found the level of agreement among the judges and the agent to be much higher. The agent's predictions were similar to those of an average judge.