Informed by Knowledge Expert Performance in Complex By Kathleen L Mosier, Ute M Fischer
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- 433
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- 9.23 MB
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- Business
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About this ebook
Informed by Knowledge: Expert Performance in Complex Situations, edited by Kathleen L. Mosier and Ute M. Fischer, covers information fusion, contextual adaptation, and naturalistic decision making across high-stakes domains. The text details how professionals interpret disparate data points to form unified mental models in critical environments. [1, 2]
1. Management of Complex Situations
- Real-World Crisis Resolution: Examines high-stakes decision contexts including crowd control in the Middle East and team dynamics during Mt. Everest climbs. [1]
- High-Risk Industry Operations: Analyzes cognitive demands in remote drilling operations, corporate leadership, and military command structures. [1]
- Dynamic Domain Profiles: Studies how pilots, air traffic controllers, doctors, and police officers make time-critical decisions under stress. [1]
2. Technological and Training Interventions
- Knowledge Management Systems: Methods to assist individual experts and cross-functional teams in capturing and sharing mission-critical data.
- Information Synthesis: Tools that help operators "fuse" contradictory or overwhelming streams of data into actionable knowledge.
- Team Adaptation: Collaborative frameworks designed to build shared situational awareness during rapid environmental shifts. [1, 2]
3. Emerging Perspectives in Decision Making
- Naturalistic Decision Making (NDM): Shifting the focus from theoretical laboratory models to how experts actually act under time pressure and ambiguity.
- Neglected Cognitive Variables: Exploration of overlooked internal and external factors influencing professional judgment.
- Extreme Environments: How individuals adapt to sensory deprivation or isolated contexts like space and space analogs. [1, 2]
4. Modeling Expert Performance
- Cognitive Task Analysis (CTA): Techniques to unpack, map, and document the hidden mental steps utilized by subject matter experts.
- Computational Architectures: Exploring causal belief mapping through software applications like "Convince Me" to evaluate reasoning.
- Sensemaking Models: Application of the Data/Frame model to explain how professionals construct, test, and replace situational frameworks. [1, 2, 3]
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9.23 MB