Contemporary research : models, methodologies, and measures in distributed team cognition
Author(s)
Bibliographic Information
Contemporary research : models, methodologies, and measures in distributed team cognition
（Handbook of distributed team cognition）
CRC Press, 2021
- : hbk
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
The objective of Contemporary Research: Models, Methodologies, and Measures in Distributed Team Cognition is to advance knowledge in terms of real-world interactions among information, people, and technologies through explorations and discovery embedded within the research topics covered. Each chapter provides insight, comprehension, and differing yet cogent perspectives to topics relevant within distributed team cognition. Experts present their use of models and frameworks, different approaches to studying distributed team cognition, and new types of measures and indications of successful outcomes. The research topics presented span the continuum of interdisciplinary philosophies, ideas, and concepts that underline research investigation.
Features
Articulates distributed team cognition principles/constructs within studies, models, methods, and measures
Utilizes experimental studies and models as cases to explore new analytical techniques and tools
Provides team situation awareness measurement, mental model assessment, conceptual recurrence analysis, quantitative model evaluation, and unobtrusive measures
Transforms analytical output from tools/models as a basis for design in collaborative technologies
Generates an interdisciplinary approach using multiple methods of inquiry
Table of Contents
1. Situation Awareness in Teams: Models and Measures 2. Studying Team Cognition in the C3Fire Microworld 3. The Dynamical Systems Approach to Team Cognition: Theory, Models, and Measures 4. Distributed Cognition in Self-Organizing Teams 5. Unobtrusive Measurement of Team Cognition: A Review and Event-Based Approach to Measurement Design 6. A Method for Rigorously Assessing Causal Mental Models to Support Distributed Team Cognition 7. Quantitative Modeling of Dynamic Human-Agent Cognition 8. Fuzzy Cognitive Maps for Modeling Human Factors in Systems 9. Understanding Human-Machine Teaming through Interdependence Analysis 10. Using Conceptual Recurrence Analysis to Decompose Team Conversations
by "Nielsen BookData"