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Cognitive performance modeling based on general systems performance theory
1Human Performance Institute, University of Texas at Arlington, TX 76019-0180, USA. kondraske@uta.edu
Summary
General Systems Performance Theory (GSPT) offers a new way to model cognitive system performance. This approach, Nonlinear Causal Resource Analysis (NCRA), can compute cognitive workload (CW) for complex tasks.
Area of Science:
- Cognitive Psychology
- Systems Science
- Human Performance Modeling
Background:
- General Systems Performance Theory (GSPT) is crucial for quantifying human performance and understanding subsystem capacities in complex tasks.
- Existing research highlights the need to apply GSPT specifically to modeling cognitive system performance.
Purpose of the Study:
- To apply GSPT to model cognitive system performance using Nonlinear Causal Resource Analysis (NCRA).
- To determine the cognitive resources required for complex tasks and establish a cognitive workload (CW) profile.
Main Methods:
- Revisiting previous studies on driving and laparoscopic surgery performance.
- Employing Nonlinear Causal Resource Analysis (NCRA) to analyze task demands on cognitive resources.
- Developing a method to compute a single numerical measure of cognitive workload (CW).
Main Results:
- NCRA successfully determined the demand on cognitive resources for varying levels of complex task performance.
- The study presents a viable method for computing cognitive workload (CW) as an alternative to direct measurement.
- Identified potential basic performance resources contributing to cognitive system performance.
Conclusions:
- A GSPT-based approach, specifically NCRA, can effectively model cognitive performance.
- This methodology can define cognitive performance models applicable to individuals and specific groups, such as military pilots.
- Computed cognitive workload (CW) offers a promising alternative to traditional measurement methods.
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