LEADER 04562oam 2200709M 450 001 9910459103603321 005 20200324081413.0 010 $a1-315-59317-3 010 $a1-317-10281-9 010 $a1-282-61487-8 010 $a9786612614873 010 $a1-4094-0687-3 035 $a(CKB)2670000000028260 035 $a(EBL)539834 035 $a(OCoLC)645937957 035 $a(SSID)ssj0000439211 035 $a(PQKBManifestationID)12120120 035 $a(PQKBTitleCode)TC0000439211 035 $a(PQKBWorkID)10460982 035 $a(PQKB)10726199 035 $a(MiAaPQ)EBC539834 035 $a(Au-PeEL)EBL539834 035 $a(CaPaEBR)ebr10394990 035 $a(CaONFJC)MIL261487 035 $a(OCoLC)1082201968 035 $a(OCoLC-P)1082201968 035 $a(FlBoTFG)9781317102823 035 $a(EXLCZ)992670000000028260 100 $a20181112h20182010 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aMacrocognition Metrics and Scenarios $eDesign and Evaluation for Real-World Teams /$fedited by Janet E. Miller and Emily S. Patterson 205 $aFirst edition. 210 1$aBoca Raton, FL :$cCRC Press,$d[2018] 210 4$dİ2010 215 $a1 online resource (340 p.) 300 $aDescription based upon print version of record. 311 $a0-7546-7578-5 320 $aIncludes bibliographical references and index. 327 $aCover; Contents; List of Figures; List of Tables; Acknowledgments; List of Contributors; Preface; Part I Theoretical Foundations; 1 Theory, Concepts, Measures but Policies, Metrics; 2 Some Challenges for Macrocognitive Measurement; 3 Measuring Macrocognition in Teams: Some Insights for Navigating the Complexities; Part II Macrocognition Measures for Real-world Teams; 4 Macrocognitive Measures for Evaluating Cognitive Work; 5 Measuring Attributes of Rigor in Information Analysis; 6 Assessing Expertise When Performance Exceeds Perfection 327 $a7 Demand Calibration in Multitask Environments: Interactions of Micro and Macrocognition8 Assessment of Intent in Macrocognitive Systems; 9 Survey of Healthcare Teamwork Rating Tools: Reliability, Validity, Ease of Use, and Diagnostic Efficacy; 10 Measurement Approaches for Transfers of Work During Handoffs; 11 The Pragmatics of Communication- based Methods for Measuring Macrocognition; 12 From Data, to Information, to Knowledge: Measuring Knowledge Building in the Context of Collaborative Cognition; Part III Scenario-based Evaluation Approaches 327 $a13 Forging New Evaluation Paradigms: Beyond Statistical Generalization14 Facets of Complexity in Situated Work; 15 Evaluating the Resilience of a Human-Computer Decision-making Team: A Methodology for Decision-Centered Testing; 16 Synthetic Task Environments: Measuring Macrocognition; 17 System Evaluation Using the Cognitive Performance Indicators; Index 330 3 $aMacrocognition Metrics and Scenarios: Design and Evaluation for Real-World Teams translates advances by scientific leaders in the relatively new area of macrocognition into a format that will support immediate use by members of the software testing and evaluation community for large-scale systems as well as trainers of real-world teams. Macrocognition is defined as how activity in real-world teams is adapted to the complex demands of a setting with high consequences for failure. The primary distinction between macrocognition and prior research is that the primary unit for measurement is a real-world team coordinating their activity, rather than individuals processing information, the predominant model for cognition for decades. This book provides an overview of the theoretical foundations of macrocognition, describes a set of exciting new macrocognitive metrics, and provides guidance on using the metrics in the context of different approaches to evaluation and measurement of real-world teams. 606 $aGroup decision making$xEvaluation 606 $aCognition$xMeasurement 606 $aTeams in the workplace$xEvaluation 608 $aElectronic books. 615 0$aGroup decision making$xEvaluation. 615 0$aCognition$xMeasurement. 615 0$aTeams in the workplace$xEvaluation. 676 $a658.4/036072 702 $aMiller$b Janet E. 702 $aPatterson$b Emily S. 801 0$bOCoLC-P 801 1$bOCoLC-P 906 $aBOOK 912 $a9910459103603321 996 $aMacrocognition Metrics and Scenarios$91942675 997 $aUNINA