Macrocognition Metrics and Scenarios: Design and Evaluation for Real-World Teams
By Janet E. Miller, Emily S. Patterson. 2012
79 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Robert R. Hoffman
- Shane T. Mueller
- Julie Gore
- Gary Klein
- Peter A. Hancock
- Paul Ward
- Robert Hutton
- Jordan Litman
Citations in the corpus
- Metrics for Explainable AI: Challenges and Prospects (2018, background): “The metric that is laid on that scale depends on the application context (for a fuller discussion, see Hoffman, 2010).”
- Adaptive Skill as the Conditio Sine Qua Non of Expertise (2018, background): “NDM as a community of practice has recognized that its subject matter is macrocognition (see Patterson & Miller, 2010), which spans the full range of joint (i.e., by individuals, teams and technological systems) cognitive work as done; rather than work as imagined, anticipated, or as recreated in…”
- Measuring Resilience (2017, background): “They are derived through design and by policy decisions (Hoffman, 2010a, 2010b).”