Macrocognition metrics and scenarios design and evaluation for real-world teams (Ashgate, 2010)
Includes bibliographical references and index
Part I. Theoretical foundations -- 1. Theory --> concepts --> measures but policies --> metrics / Robert R. Hoffman -- 2. Some challenges for macrocognitive measurement / Robert R. Hoffman / 3. Measuring macrocognition in teams : some insights for navigating the complexities / C. Shawn Burke ... [et al.]
Part II. Macrocognition measures for real-world teams. 4. Macrocognitive measures for evaluating cognitive work / Gary Klein -- 5. Measuring attributes of rigor in information analysis / Daniel J. Zelik, Emily S. Patterson, and David D. Woods -- 6. Assessing expertise when performance exceeds perfection / James Shanteau ... [et al.] -- 7. Demand calibration in multitask environments : interactions of micro and macrocognition / John D. Lee -- 8. Assessment of intent in macrocognitive systems / Lawrence G. Shattuck -- 9. Survey of healthcare teamwork rating tools : reliability, validity, ease of use, and diagnostic efficiency / Barbara Künzle ... [et al.] -- 10. Measurement approaches for transfers of work during handoffs / Emily S. Patterson and Robert L. Wears -- 11. The pragmatics of communication-based methods for measuring macrocognition / Nancy J. Cooke and Jamie C. Gorman -- 12. From data, to information, to knowledge : measuring knowledge building in the context of collaborative cognition / Stephen M. Fiore ... [et al.]
Part III. Scenario-based evaluation. 13. Forging new evaluation paradigms : beyond statistical generalization / Emilie M. Roth and Robert G. Eggleston -- 14. Facets of complexity in situated work / Emily S. Patterson, Emilie M. Roth and David D. Woods -- 15. Evaluating the resilience of a human-computer decision-making team : a methodology for decision-centered testing / Scott S. Potter and Robert Rousseau -- 16. Synthetic task environments : measuring macrocognition / John M. Flach ... [et al.] -- 17. System evaluation using the cognitive performance indicators / Sterling L. Wiggins and Donald A. Cox