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.
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.