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Augmented Cognition: Attention and Uncertainty Representation

This paper explores the concept of augmented cognition, focusing on how cognitive limitations impact performance in decision-making. It discusses traditional solutions, such as cognitive aids and training, before presenting a principled approach to cognitive amplification. Key strategies include identifying and quantifying cognitive limitations, improving information fusion and visualization, and developing technologies to enhance memory and attention. Pilot experiments highlight the interplay between attention, workload, and response generation, demonstrating the importance of understanding cognitive processes in optimizing human performance.

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Augmented Cognition: Attention and Uncertainty Representation

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  1. Augmented Cognition: Attention and Uncertainty Representation Misha Pavel, Guoping Wang, Kehai Li Oregon Health and Science University pavel@ece.ogi.edu

  2. Performance Constrained by Cognitive Limitations • Memory • Logical reasoning abilities • Illusions • Perceptual • Cognitive • Coordinate transformation • Ability to predict and anticipate states and actions • Information fusion • Decision – combining utilities, uncertainties • Abstract sources • Attentional limitations M. Pavel - PNNL March 8, 2002

  3. Traditional Solutions • Traditional Solutions • Cognitive aids • Checklists • Mnemonic aids (Coffee cup) • Alerts • Training and rote learning • Divide and conquer – Team of operators/agents • Augmented Cognition • Model the cognitive limitation • Develop systems to amplify the ability M. Pavel - PNNL March 8, 2002

  4. Principled Approach to Cognitive Amplification • Identify limitations • Quantify – Model the limitations • Develop amplifying principles • Information compression • re-mapping- visualization • Information fusion • Memory/context enhancemet • Measure amplification • Develop amplifying technology M. Pavel - PNNL March 8, 2002

  5. Inputs Attention Processes Divided Attention CognitiveResource (workload) ResponseGeneration Perceptual Filter Cognitive Process Response Allocation Throughput Multimodal Augmenting attentionby improving M. Pavel - PNNL March 8, 2002

  6. Conceptual Architecture Task Signal Processing Estimation Salience Optimization Utility DISPLAY Attention Estimation Physiological Behavioral Monitoring Fusion Stress Workload Visualization Salience M. Pavel - PNNL March 8, 2002

  7. Pilot Experiments: Search for a Known Target Search for the letter L Search Duration vs. Number Decoys 40 Response Time (sec) 0 16 32 0 Number of Distractors M. Pavel - PNNL March 8, 2002

  8. Representation of Uncertainty M. Pavel - PNNL March 8, 2002

  9. End M. Pavel - PNNL March 8, 2002

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