Contemporary Research: Models, Methodologies, and Measures in Distributed Team Cognition

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 Cover Half Title Title Page Copyright Page Dedication Contents Preface Editors Contributors Primer (Introduction) Chapter 1 Situation Awareness in Teams: Models and Measures Chapter 2 Studying Team Cognition in the C3Fire Microworld Chapter 3 The Dynamical Systems Approach to Team Cognition: Theory, Models, and Metrics Chapter 4 Distributed Cognition in Self-Organizing Teams Chapter 5 Unobtrusive Measurement of Team Cognition: A Review and Event-Based Approach to Measurement Design Chapter 6 A Method for Rigorously Assessing Causal Mental Models to Support Distributed Team Cognition Chapter 7 Quantitative Modeling of Dynamic Human-Agent Cognition Chapter 8 Fuzzy Cognitive Maps for Modeling Human Factors in Systems Chapter 9 Understanding Human-Machine Teaming through Interdependence Analysis Chapter 10 Using Conceptual Recurrence Analysis to Decompose Team Conversations Index