图书简介
Macrocognition Metrics and Scenarios: Design and Evaluation for Real-World Teams translates advances in macrocognition into a format that will support immediate use by the software testing and evaluation community for large-scale systems, as well as real-world team trainers. It provides an overview of the theoretical foundations of macrocognition, describes new macrocognitive metrics, and provides guidance on using the metrics in the context of different approaches to evaluation and measurement of real-world teams.
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, 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 Künzle, 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.
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