Cognitive Systems: Human Cognitive Models in Systems Design [Paperback]

Contents: Preface. Part I: Introduction. C. Forsythe, P.G. Xavier, Cognitive Models to Cognitive Systems. Part II: Theoretical and Empirical Basis for Cognitive Systems. D.E. Copeland, J.P. Magliano, G.A. Radvansky, Situation Models in Comprehension, Memory, and Augmented Cognition. D.S. McCrickard, C.M. Chewar, Designing Attention-Centric Notification Systems: Five HCI Challenges. M.A. Covington, The Technological Relevance of Natural Language Pragmatics to Cognitive Systems. C. Forsythe, A. Kruse, D. Schmorrow, Augmented Cognition. Part III: Illustrations of Cognitive Systems. D.C. McFarlane, Engaging Innate Human Cognitive Capabilities to Coordinate Human Interruption: The HAIL System. T. Bauer, D. Laham, Z. Benz, S. Dooley, J. Kimmel, R. Oberbrekling, Text Analysis and Dimensionality Reduction for Automatically Populating a Cognitive Model Framework. A.C. Graesser, A. Olney, B.C. Haynes, P. Chipman, Autotutor: A Cognitive System That Simulates a Tutor Through Mixed-Initiative Dialogue. R.M. Young, Cognitive and Computational Models in Interactive Narrative. W. Kincses, Building Augmented Cognition Systems for Automotive Applications. Part IV: Topics in Cognitive Systems. T. Lane, Automated Knowledge Capture and User Modeling. M.L. Bernard, Meta-Cognition or What a Cognitive System May/Should Know About Itself.
The leading thinkers from the cognitive science tradition participated in a workshop sponsored by Sandia National Laboratories in July of 2003 to discuss progress in building their models. The goal was to summarize the theoretical and empirical bases for clóB