Janet E. MillerDesign and Evaluation for Real-World Teams
Macrocognition Metrics and Scenarios (eBook, PDF)
Design and Evaluation for Real-World Teams
Redaktion: Patterson, Emily S.
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Janet E. MillerDesign and Evaluation for Real-World Teams
Macrocognition Metrics and Scenarios (eBook, PDF)
Design and Evaluation for Real-World Teams
Redaktion: Patterson, Emily S.
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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.
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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.
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Produktdetails
- Produktdetails
- Verlag: Taylor & Francis eBooks
- Seitenzahl: 340
- Erscheinungstermin: 3. September 2018
- Englisch
- ISBN-13: 9781317102823
- Artikelnr.: 54036737
- Verlag: Taylor & Francis eBooks
- Seitenzahl: 340
- Erscheinungstermin: 3. September 2018
- Englisch
- ISBN-13: 9781317102823
- Artikelnr.: 54036737
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
Dr. Emily S. Patterson conducts research to improve the performance of real-world teams in complex, socio-technical settings, including healthcare, military, intelligence analysis, space shuttle mission control, emergency response, and emergency call centers. She is an assistant professor in the Health Information Management and Systems Division at The Ohio State University Medical Center, School of Allied Medical Professions.. In 2004, Dr. Patterson received the Alexander C. Williams, Jr., Design Award from the Human Factors and Ergonomics Society for identifying nursing "workarounds" that reduced the effectiveness of a barcode point of care system in reducing medication errors in 128 medical centers. Dr. Patterson serves as Associate Editor for IEEE Transactions on Systems, Man, and Cybernetics: Part A, serves on the Editorial Advisory Board for the Joint Commission Journal on Quality and Patient Safety and the Advisory Committee for the Center for Innovation of the National Board of Medical Examiners, and previously served as Centers Communication Advisory Group Member for the Joint Commission International Center for Patient Safety. Dr. Janet E. Miller is a Program Manager in the Air Force Research Laboratory's Sensors Directorate at Wright-Patterson AFB, Ohio. Dr. Miller received a Ph.D. in Industrial and Systems Engineering from The Ohio State University in 2002. Dr. Miller is advancing the state-of-the-art in macrocognition research and application in military situations.
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 Kÿnzle
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.
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 Kÿnzle
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.
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 Kÿnzle
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.
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 Kÿnzle
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.