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Decision Support System Requirements Definition for Human Extravehicular Activity Based on Cognitive Work Analysis
Matthew James Miller1, Kerry M McGuire2, Karen M Feigh1
1Cognitive Engineering Center, Guggenheim School of Aerospace Engineering, Georgia Institute of Technology.
Cognitive systems engineering (CSE) methods can guide decision support system design for complex tasks like space missions. Applying cognitive work analysis to extravehicular activity operations provides a structured approach to defining system requirements early in development.
Area of Science:
- Human-Computer Interaction
- Cognitive Systems Engineering
- Systems Engineering
Background:
- Designing decision support systems (DSS) for complex domains presents significant challenges for cognitive systems engineering (CSE) practitioners, especially during initial project phases.
- Integrating CSE perspectives into traditional systems engineering workflows requires effective methods for deriving design requirements.
Purpose of the Study:
- To demonstrate the application of CSE techniques for deriving design requirements compatible with traditional systems engineering.
- To guide the development of decision support systems through a structured requirements derivation process.
Main Methods:
- The study employed cognitive work analysis (CWA) to derive requirements for a subset of human spaceflight operations: extravehicular activity (EVA).
- A work domain analysis identified key functions and constraints within the EVA domain.
- A control task analysis translated subject matter knowledge states into high-level DSS requirements.
Main Results:
- The work domain analysis yielded a comprehensive understanding of functions and constraints pertinent to extravehicular activity.
- The control task analysis successfully translated cognitive states into actionable DSS requirements.
- An incremental requirements specification process was highlighted as crucial for early-phase CSE integration.
Conclusions:
- Cognitive work analysis provides a viable framework for deriving DSS requirements within complex operational contexts like spaceflight.
- Integrating CSE analyses early in the design process enhances the alignment of DSS with user needs and operational realities.
- This approach facilitates a more robust and user-centered development of decision support systems in demanding fields.
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