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Supporting perception in the service of dynamic decision making
1Center for Human-Machine Systems Research, School of Industrial & Systems Engineering, Georgia Institute of Technology, Atlanta 30332, USA.
Human Factors
|June 1, 1996
Summary
Training interventions should support perceptual and pattern recognition for dynamic decision-making. This accelerates skill acquisition in complex environments by developing robust heuristic strategies.
Area of Science:
- Cognitive Psychology
- Human-Computer Interaction
- Expert Performance
Background:
- Skilled performance in dynamic, complex environments often relies on heuristic strategies.
- Heuristics help manage time pressure and task complexity.
- The novice-expert shift in dynamic decision-making is linked to task simplification via perception and pattern recognition.
Purpose of the Study:
- To investigate the benefits of training interventions supporting perceptual and pattern-recognition activities.
- To determine if these interventions accelerate skill acquisition in dynamic environments.
- To compare heuristic-based training with abstract, cognitively intensive strategies.
Main Methods:
- Conducted a pair of empirical studies.
- Implemented training interventions focused on perceptual and pattern-recognition.
- Assessed performance in dynamic decision-making tasks.
Main Results:
- Training interventions supporting perceptual activities accelerated skill acquisition.
- Supporting perception enhanced dynamic decision-making.
- Heuristic strategies proved more effective than abstract ones.
Conclusions:
- Interface training should foster robust heuristic strategies based on perception and pattern recognition.
- Supporting perceptual activities is key to accelerating skilled performance in dynamic settings.
- Findings have implications for training, aiding, and interface design in complex dynamic tasks.