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IUI
2000
ACM
14 years 1 months ago
Learning users' interests by unobtrusively observing their normal behavior
For intelligent interfaces attempting to learn a user’s interests, the cost of obtaining labeled training instances is prohibitive because the user must directly label each trai...
Jeremy Goecks, Jude W. Shavlik
ATAL
2011
Springer
12 years 9 months ago
Maximizing revenue in symmetric resource allocation systems when user utilities exhibit diminishing returns
Consumers of resources in realistic applications (e.g., web, multimedia) typically derive diminishing-return utilities from the amount of resource they receive. A resource provide...
Roie Zivan, Miroslav Dudík, Praveen Paruchu...
CCS
2009
ACM
14 years 3 months ago
Mixed-initiative security agents
Security decision-making is hard for both humans and machines. This is because security decisions are context-dependent, require highly dynamic, specialized knowledge, and require...
Rachel Greenstadt, Sadia Afroz, Michael Brennan
IEAAIE
2010
Springer
13 years 7 months ago
The Combination of a Causal and Emotional Learning Mechanism for an Improved Cognitive Tutoring Agent
This paper describes a Conscious Tutoring System (CTS) capable of dynamic fine-tuned assistance to users. We put forth the combination of a Causal Learning and Emotional learning m...
Usef Faghihi, Philippe Fournier-Viger, Roger Nkamb...
AAAI
2006
13 years 10 months ago
LOCATE Intelligent Systems Demonstration: Adapting Help to the Cognitive Styles of Users
LOCATE is workspace layout design software that also serves as a testbed for developing and refining principles of adaptive aiding. This demonstration illustrates LOCATE's ab...
Jack L. Edwards, Greg Scott