The objective of this book is to advance the 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 have presented 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.
- 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. Approaching Distributed Teamwork: Issues, Challenges, Methods, and Opportunities for Research. 2. Convergent or Divergent Distributed Team Cognition Processes: Integrating Multi-Faceted Methods and Interdependent Measures. 3. Specifying Theory, Validating Models, and Appropriating Evaluations within the Collaborative Collective. 4. Industrial-Organization Psychology and Distributed Team Cognition: Models and Methodological Imperatives. 5. Social Constructivist Approaches to Distributed Teamwork: New Models and Innovations. 6. Utilizing Qualitative Methods in Distributed Team Cognition: The Roles of Ethnography and Concept Mapping. 7. The Use of Sequential Exploratory Data Analysis for Distributed Information Environments. 8. Automatic Quantification of Distributed Team Cognition Performance: Data. Meta-Data, and Beyond. 9. Computational Social Science: Collective Gain Through Crowdsourcing and Social Network Analysis. 10. Data Mining as a Basis for Discovering Social Constructions and Connections in Distributed Networks. 11. Geo-spatial Group Work: Intersections of Geography and Spatial Cognition and Visualized Information.
Michael McNeese is a Professor (Emeritus) and was the Director of the MINDS Group at the College of Information Sciences and Technology, The Pennsylvania State University, University Park, PA. Previously he was the Senior Associate Dean, and Professor in Charge at Penn State. He has worked on multiple research projects involving team cognition, artificial intelligence, human factors engineering, crisis management and response, situation awareness, and interactive simulations over the last 35 years. He was a Senior Scientist and Director of Collaborative Design Technology at the USAF Research Laboratory prior to moving to Penn State. He received his Ph.D. in Cognitive Science from Vanderbilt University, and was a visiting professor at The Ohio State University, Department of Integrated Systems Engineering.
Eduardo Salas is the Allyn R. & Gladys M. Cline Chair Professor and Chair of the Department of Psychological Sciences at Rice University. His expertise includes assisting organizations, including oil and gas, aviation, law enforcement and healthcare industries, in how to foster teamwork, design and implement team training strategies, how to create a safety culture and minimize errors, facilitate learning and training effectiveness, optimize simulation-based training, manage decision making under stress, and develop performance measurement tools.
Dr. Salas has co-authored over 480 journal articles & book chapters and has co-edited 33 books and handbooks as well as authored one book on team training. He is a Past President of the Society for Industrial/Organizational Psychology (SIOP) and the Human Factors & Ergonomics Society (HFES), Fellow of the American Psychological Association (APA), Association for Psychological Science and HFES. He is also the recipient of the 2012 Society for Human Resource Management Losey Lifetime Achievement Award, the 2012 Joseph E. McGrath Award for Lifetime Achievement for his work on teams and team training and the 2016 APA Award for Outstanding Lifetime Contributions to Psychology.
He received his Ph.D. degree (1984) in Industrial/Organizational Psychology from Old Dominion University.
Mica R. Endsley is the President of SA Technologies, a cognitive engineering firm specializing in the development of operator interfaces for advanced systems, including the next generation of systems for military, aviation, air traffic control, medicine and power grid operations. Previously she served as Chief Scientist of the U.S. Air Force in where she was the chief scientific adviser to the Chief of Staff and Secretary of the Air Force, providing assessments on a wide range of scientific and technical issues affecting the Air Force mission. She has also been a Visiting Associate Professor at MIT in the Department of Aeronautics and Astronautics and Associate Professor of Industrial Engineering at Texas Tech University. Dr. Endsley is widely published on the topic of situation awareness and decision making in individuals and teams across a wide variety of domains. She received a Ph.D. in Industrial and Systems Engineering from the University of Southern California. She is a Past-President and Fellow of the Human Factors and Ergonomics Society and a Fellow of the International Ergonomics Association.