Cognitive processes in teams have been a valuable arena for team researchers to explore. Team cognition research advances and informs a variety of disciplines, including cognitive and social sciences, engineering, military science, organizational science, human factors, medicine, and communications. There has been a great deal of progress in the team cognition literature, yet the field is still in its early stages of maturity. There is much more to be gained from the field’s insights and there is a need to unite the diverse array of scholarly ideas that permeate the field. This movement will serve to organize the research and ideas that have surfaced in the field, thereby making them more accessible to different disciplines while at the same time, motivating continued progress in the field. This book aims to be a step in this direction and acts as a forum for leading scholars to share their ideas, theories, models, and conceptions about what matters and where more attention is needed in the field of team cognition.

This volume presents a cross-disciplinary perspective to determine how team cognition contributes to effective team performance.

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

Team collaboration involves many operational tasks such as team decision-making or course of action selection, developing shared understanding, and intelligence analysis. These operational tasks must be performed in many situations, often under severe time pressure, with information and knowledge uncertainty, large amounts of dynamic information and across different team characteristics. Recent research in this area has focused on various aspects of human collaborative decision-making and the underlying cognitive processes while describing those processes at different levels of detail, making it difficult to compare research results. The theoretical construct of ‘macrocognition in teams’ was developed to facilitate cognitive research in team collaboration, which will enable a common level of understanding when defining, measuring and discussing the cognitive processes in team collaboration. Macrocognition is defined as both the internalized and externalized mental processes employed by team members in complex, one-of-a-kind, collaborative problem solving. Macrocognition in Teams provides readers with a greater understanding of the macrocognitive processes which support collaborative team activity, showcasing current research, theories, methodologies and tools. It will be of direct relevance to academics, researchers and practitioners interested in group/team interaction, performance, development and training.

The past half-century has witnessed a dramatic increase in the scale and complexity of scientific research. The growing scale of science has been accompanied by a shift toward collaborative research, referred to as "team science." Scientific research is increasingly conducted by small teams and larger groups rather than individual investigators, but the challenges of collaboration can slow these teams' progress in achieving their scientific goals. How does a team-based approach work, and how can universities and research institutions support teams? Enhancing the Effectiveness of Team Science synthesizes and integrates the available research to provide guidance on assembling the science team; leadership, education and professional development for science teams and groups. It also examines institutional and organizational structures and policies to support science teams and identifies areas where further research is needed to help science teams and groups achieve their scientific and translational goals. This report offers major public policy recommendations for science research agencies and policymakers, as well as recommendations for individual scientists, disciplinary associations, and research universities. Enhancing the Effectiveness of Team Science will be of interest to university research administrators, team science leaders, science faculty, and graduate and postdoctoral students.

This handbook is the first to provide comprehensive coverage of original state-of-the-science research, analysis, and design of integrated, human-technology systems.

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

A state-of-the-art psychological perspective on team working and collaborative organizational processes This handbook makes a unique contribution to organizational psychology and HRM by providing comprehensive international coverage of the contemporary field of team working and collaborative organizational processes. It provides critical reviews of key topics related to teams including design, diversity, leadership, trust processes and performance measurement, drawing on the work of leading thinkers including Linda Argote, Neal Ashkanasy, Robert Kraut, Floor Rink and Daan van Knippenberg.

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