/Reflective Agents with Distributed Adaptive Reasoning

Reflective Agents with Distributed Adaptive Reasoning

Portrait of Reflective Agents with Distributed Adaptive Reasoning
Head: Michael Freed
Contact: Aaron Steinfeld
Associated Labs: Human-Robot Interaction Group and Intelligent Coordination and Logistics Laboratory
Homepage
Last Project Publication Year: 2010

Machine learning has been developed to the point where it can perform some truly useful tasks. However, much of the learning technology that’s currently available requires extensive ‘tuning’ in order to work for any particular user, in the context of any particular task.

The focus of the RADAR project is to build a cognitive assistant that embodies machine learning technology that is able to function “in the wild” — by this, we mean that the technology need not be tuned by experts, and that the person using the system that embodies the technology need not be trained in any special way.

Using the RADAR system itself, in the task for which it is designed, should be enough to allow RADAR to learn to improve performance.

RADAR is a project funded by DARPA and led by SRI International in partnership with Carnegie Mellon University, Bitway, Immedius, and Boeing.

For a full list of project personnel, please see the project’s site.

Displaying 7 Publications
Agent-Assisted Task Management that Reduces Email Overload
Andrew Faulring, Brad A. Myers, Ken Mohnkern, Bradley Schmerl, Aaron Steinfeld, John Zimmerman, Asim Smailagic, Jeffery Hansen and Daniel Siewiorek

Conference Paper, International Conference on Intelligent User Interfaces (IUI), pp. 61-70, February, 2010
The design and evaluation of user interfaces for the RADAR learning personal assistant
Andrew Faulring, Ken Mohnkern, Aaron Steinfeld and Brad A. Myers

Journal Article, AI Magazine, Vol. 30, No. 4, pp. 74-84, January, 2009
The effects of highlighting and pop-up interruptions on task performance
Pablo-Alejandro Quinones, Jigar Vora, Aaron Steinfeld, Asim Smailagic, Jeffery Hansen, Daniel Siewiorek, Pete Phadhana-Anake and Abhishek Shah

Conference Paper, Proceedings of the Human Factors and Ergonomics Society 52nd Annual Meeting, pp. 177-181, September, 2008
Successful User Interfaces for RADAR
Andrew Faulring, Ken Mohnkern, Aaron Steinfeld and Brad A. Myers

Workshop Paper, CHI 2008 Workshop on Usable Artificial Intelligence, January, 2008
Evaluation of an Integrated Multi-Task Machine Learning System with Humans in the Loop
Aaron Steinfeld, S. Rachael Bennett, Kyle Cunningham, Matt Lahut, Pablo-Alejandro Quinones, Django Wexler, Daniel Siewiorek, Jordan Hayes, Paul Cohen, Julie Fitzgerald, Othar Hansson, Mike Pool and Mark Drummond

Workshop Paper, NIST Performance Metrics for Intelligent Systems Workshop (PerMIS), January, 2007
Survey measures for evaluation of cognitive assistants
Aaron Steinfeld, Pablo-Alejandro Quinones, John Zimmerman, S. Rachael Bennett and Daniel Siewiorek

Workshop Paper, NIST Performance Metrics for Intelligent Systems Workshop (PerMIS), January, 2007
The RADAR Test Methodology: Evaluating a Multi-Task Machine Learning System with Humans in the Loop
Aaron Steinfeld, Rachael Bennett, Kyle Cunningham, Matt Lahut, Pablo-Alejandro Quinones, Django Wexler, Daniel Siewiorek, Paul Cohen, Julie Fitzgerald, Othar Hansson, Jordan Hayes, Mike Pool and Mark Drummond

Tech. Report, CMU-CS-06-125, Computer Science Department, Carnegie Mellon University, May, 2006

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Past Project People

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