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Feedback Design for the Control of a Dynamic Multitasking System: Dissociating Outcome Feedback From Control Feedback Hansjörg Neth, Sangeet S. Khemlani, and Wayne D. Gray, Rensselaer Polytechnic Institute, Troy, New Yo
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Document Date: 2012-09-06 02:48:17


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City

Cambridge / Santa Monica / Troy / Hillsdale / London / New York / /

Company

MIT Press / Harvard University Press / /

Country

United Kingdom / /

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Facility

Princeton University / Oregon State University / Rensselaer Polytechnic Institute / Cardiff University / bridge Norman / University of California at Berkeley / /

IndustryTerm

dynamic multitasking systems / system management / social systems / software agents / near-optimal solution / normative machine-learning solution / software environment / machine-learning algorithm / human processing capacities / interactive systems / important research tool / engineered solutions / energy / /

Organization

Rensselaer Polytechnic Institute’s Cognitive Science Department / University of California / office of Naval Research / Harvard University / Cardiff University / Human Factors and Ergonomics Society / Rensselaer Polytechnic Institute / MIT / Oregon State University / Psychology Department / Cognitive Science Department / Princeton University / Air Force office of Scientific Research / /

Person

Ray Perez / Shakib Shakeri / Dario Salvucci / Jun Zhang / Chris R. Sims / Michael J. Schoelles / Ken Funk / Christopher W. Myers / Brittney Oppermann / Wayne D. Gray / Tabu / /

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Position

professor of cognitive science / program officer / sailor / research assistant professor / /

ProgrammingLanguage

Lisp / /

ProvinceOrState

S. K. / New York / California / /

PublishedMedium

British Journal of Psychology / /

Technology

machine-learning algorithm / /

URL

www.cogsci.rpi.edu/cogworks/tardast / /

SocialTag