Human Cognitive Models in Systems Design
Edited by Chris Forsythe, Michael L. Bernard, Timothy E. Goldsmith
Published November 9th 2005 by Psychology Press – 328 pages
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 cognitive systems and to present exemplary developments in the field. Following the workshop, a great deal of planning went into the creation of this book. Eleven of the twenty-six presenters were asked to contribute chapters, and four chapters are the product of the breakout sessions in which critical topics were discussed among the participants. An introductory chapter provides the context for this compilation.
Cognitive Systems thus presents a unique merger of cognitive modeling and intelligent systems, and attempts to overcome many of the problems inherent in current expert systems. It will be of interest to researchers and students in the fields of cognitive science, computational modeling, intelligent systems, artificial intelligence, and human-computer interaction.
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.