Michael McNeese – författare

The background and interwoven streams of team cognition and distributed cognition fermenting together has wielded new nuances of exploration, which continue to be relevant for a theoretical understanding of team phenomena.Foundations and Theoretical Perspectives of Distributed Teams Cognition looks at fundamentals, theoretical concepts, and how theory informs perspectives of thinking for distributed team cognition. The chapters yield a broad understanding of the nature of diverse thinking and insights into technologies, foundations, and theoretical perspectives of distributed team cognition.Features Generates historical patterns and significance that compose developmental trajectories Explains multiple perspectives that incorporate an interdisciplinary understanding that specifies diverse theories Identifies and develops particular challenges resident within team simulation studies and then illustrates research frameworks Highlights and reviews how team simulations are used to produce dynamic experimental results Investigates and studies research variables within distributed team cognition

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

Many different cognitive research approaches have been generated to explore fields of practice where mutual teamwork is present and emergent. Results have shown subtle yet significant findings on how humans actually work together and when they transition from their own individual roles and niches into elements of teamwork and team-to-team work.Fields of Practice and Applied Solutions within Distributed Team Cognition explores the advantages of teams and shows how researchers can obtain a deep understanding of users/teams that are entrenched in a particular field. Interdisciplinary perspectives and transformative intersections are provided.Features Delineates contextual nuances of socio-technical environments as influencers of team cognition Provides quantitative/qualitative perspectives of distributed team cognition by demonstrating in situ interactions Reviews applied teamwork for fields of practice in medicine, cybersecurity, education, aviation, and manufacturing Generates practical examples of distributed work and how cognition develops across teams using technologies Specifies applied solutions through technologies such as robots, agents, games, and social networks

Contemporary society is held together by interactive groups and teams carrying out work to accomplish various intentions and purposes often within challenging and ill-defined environments. Cooperative work is accomplished through the synergy of human teamwork and technological innovation within domains such as health and medicine; cyber security; transportation; command, control, communication, and intelligence; aviation; manufacturing; criminal justice; space exploration; and emergency crisis management. Distributed team cognition is ubiquitous across and within each of these domains in myriad ways. The Handbook of Distributed Team Cognition provides three volumes that delve into the intricacies of research findings in terms of how cognition is embodied within specific environments while being distributed across time, space, information, people, and technologies. Distributed team cognition is examined from broad, interdisciplinary perspectives and developed using different themes and worldviews. Foundations and Theoretical Perspectives of Distributed Teams Cognition provides an informed view of the history and foundations underlying the development of the field while looking at the theoretical significance of research. Contemporary Research: Models, Methodologies, and Measures in Distributed Team Cognition strengthens these foundations and theories by looking at how research has evolved through the use of different experiments, methods, measures, and models. Fields of Practice and Applied Solutions within Distributed Teams Cognition considers the importance of technological support of teamwork and what it means for applied systems and specific fields of practice. Together these three volumes entwine a comprehensive knowledge of distributed team cognition that is invaluable for professors, scientists, engineers, designers, specialists, and students alike who need specific information regarding history, cognitive science, experimental studies, research approaches, measures and analytics, digital collaborative technologies and intelligent agents, and real world applications; all of which have led to a dynamic revolution in cooperative work / teamwork in both theory and practice.

Contemporary society is held together by interactive groups and teams carrying out work to accomplish various intentions and purposes often within challenging and ill-defined environments. Cooperative work is accomplished through the synergy of human teamwork and technological innovation within domains such as health and medicine; cyber security; transportation; command, control, communication, and intelligence; aviation; manufacturing; criminal justice; space exploration; and emergency crisis management. Distributed team cognition is ubiquitous across and within each of these domains in myriad ways. The Handbook of Distributed Team Cognition provides three volumes that delve into the intricacies of research findings in terms of how cognition is embodied within specific environments while being distributed across time, space, information, people, and technologies. Distributed team cognition is examined from broad, interdisciplinary perspectives and developed using different themes and worldviews. Foundations and Theoretical Perspectives of Distributed Teams Cognition provides an informed view of the history and foundations underlying the development of the field while looking at the theoretical significance of research. Contemporary Research: Models, Methodologies, and Measures in Distributed Team Cognition strengthens these foundations and theories by looking at how research has evolved through the use of different experiments, methods, measures, and models. Fields of Practice and Applied Solutions within Distributed Teams Cognition considers the importance of technological support of teamwork and what it means for applied systems and specific fields of practice. Together these three volumes entwine a comprehensive knowledge of distributed team cognition that is invaluable for professors, scientists, engineers, designers, specialists, and students alike who need specific information regarding history, cognitive science, experimental studies, research approaches, measures and analytics, digital collaborative technologies and intelligent agents, and real world applications; all of which have led to a dynamic revolution in cooperative work / teamwork in both theory and practice.

The background and interwoven streams of team cognition and distributed cognition fermenting together has wielded new nuances of exploration, which continue to be relevant for a theoretical understanding of team phenomena.Foundations and Theoretical Perspectives of Distributed Teams Cognition looks at fundamentals, theoretical concepts, and how theory informs perspectives of thinking for distributed team cognition. The chapters yield a broad understanding of the nature of diverse thinking and insights into technologies, foundations, and theoretical perspectives of distributed team cognition.Features Generates historical patterns and significance that compose developmental trajectories Explains multiple perspectives that incorporate an interdisciplinary understanding that specifies diverse theories Identifies and develops particular challenges resident within team simulation studies and then illustrates research frameworks Highlights and reviews how team simulations are used to produce dynamic experimental results Investigates and studies research variables within distributed team cognition

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