Macrocognition Metrics and Scenarios

Content: Preface, Emily S. Patterson, Janet E. Miller, Emilie M. Roth, and David D. Woods
 Part I Theoretical Foundations: Theory ->
 concepts ->
 measures but policies ->
 metrics, Robert R. Hoffman
 Some challenges for macrocognitive measurement, Robert R, Hoffman
 Measuring macrocognition in teams: some insights for navigating the complexities, C. Shawn Burke, Eduardo Salas, Kimberly Smith-Jentsch, Valerie Sims and Michael A. Rosen. Part II Macrocognition Measures for Real-World Teams: Macrocognitive measures for evaluating cognitive work, Gary Klein
 Measuring attributes of rigor in information analysis, Daniel J. Zelik, Emily S. Patterson, and David D. Woods
 Assessing expertise when performance exceeds perfection, James Shanteau, Brian Friel, Rick P. Thomas, John Raacke and David J. Weiss
 Demand calibration in multitask environments: interactions of micro and macrocognition, John D. Lee
 Assessment of intent in macrocognitive systems, Lawrence G. Shattuck
 Survey of healthcare teamwork rating tools: reliability, validity, ease of use, and diagnostic efficiency, Barbara Knzle, Yan Xiao, Anne M. Miller and Colin Mackenzie
 Measurement approaches for transfers of work during handoffs, Emily S. Patterson and Robert L. Wears
 The pragmatics of communication-based methods for measuring macrocognition, Nancy J. Cooke and Jamie C. Gorman
 From data, to information, to knowledge: measuring knowledge building in the context of collaborative cognition, Stephen M. Fiore, John Elias, Eduardo Salas, Norman W. Warner and Michael P. Letsky. Part III Scenario-Based Evaluation Forging new evaluation paradigms: beyond statistical generalization, Emilie M. Roth and Robert G. Eggleston
 Facets of complexity in situated work, Emily S. Patterson, Emilie M. Roth and David D. Woods
 Evaluating the resilience of a human-computer decision-making team: a methodology for decision-centered testing, Scott S. Potter and Robert Rousseau
 Synthetic task environments: measuring macrocognition, John M. Flach, Daniel Schwartz, April M. Courtice, Kyle Behymer and Wayne Shebilske
 System evaluation using the cognitive performance indicators, Sterling L. Wiggins and Donald A. Cox
 Index.