Macrocognition Metrics and Scenarios: Design and Evaluation for
Real-World Teams translates advances by scientific leaders in the
relatively new area of macrocognition into a format that will
support immediate use by members of the software testing and
evaluation community for large-scale systems as well as trainers of
real-world teams. Macrocognition is defined as how activity in
real-world teams is adapted to the complex demands of a setting
with high consequences for failure. The primary distinction between
macrocognition and prior research is that the primary unit for
measurement is a real-world team coordinating their activity,
rather than individuals processing information, the predominant
model for cognition for decades. This book provides an overview of
the theoretical foundations of macrocognition, describes a set of
exciting new macrocognitive metrics, and provides guidance on using
the metrics in the context of different approaches to evaluation
and measurement of real-world teams.
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