Macrocognition Metrics and Scenarios: Design and Evaluation for Real-World Teams

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