Cognitive Work Analysis (CWA) integrates expert knowledge and decision making into a comprehensive framework for the design and analysis of complex systems. Subjective data collected on psychological constructs such as Situational Awareness and Mental Workload from expert operators are important inputs to CWA. Traditional forms of data collection and reporting are developed from ridged questionnaires and close-ended questions. In this study, Epistemic Network Analysis (ENA) was used to extend the interpretation of one such input - from a frequency-based summary table of expert commentary to a rich model of expert positionality that could be easily narrated and presented to member-subjects for validation or reinterpretation. Through this example, we demonstrate how an ENA-informed approach to CWA makes the practice more accessible and enhances reliability.

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An ENA-Informed Approach to Integrating Diverse Expert Knowledge in Cognitive Work Analysis

  • Celeste Francis Esteves,
  • Bowen Hui

摘要

Cognitive Work Analysis (CWA) integrates expert knowledge and decision making into a comprehensive framework for the design and analysis of complex systems. Subjective data collected on psychological constructs such as Situational Awareness and Mental Workload from expert operators are important inputs to CWA. Traditional forms of data collection and reporting are developed from ridged questionnaires and close-ended questions. In this study, Epistemic Network Analysis (ENA) was used to extend the interpretation of one such input - from a frequency-based summary table of expert commentary to a rich model of expert positionality that could be easily narrated and presented to member-subjects for validation or reinterpretation. Through this example, we demonstrate how an ENA-informed approach to CWA makes the practice more accessible and enhances reliability.