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

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
May 6, 2019

3. 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
May 6, 2019

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
May 6, 2019

5. Cognitive Resource (workload) Augmenting attention by improving
Attention Processes
Divided Attention
Cognitive Resource (workload)
Response Generation
Perceptual Filter
Inputs
Cognitive Process
Response
Allocation
Throughput
Multimodal
Augmenting attention by improving
M. Pavel - PNNL March 8, 2002
May 6, 2019

6. Conceptual Architecture
Task
Signal
Processing
Estimation
Salience
Utility
Optimization
DISPLAY
Attention
Estimation
Physiological
Behavioral
Monitoring
Fusion
Stress
Workload
Visualization
Salience
M. Pavel - PNNL March 8, 2002
May 6, 2019

7. Pilot Experiments: Search for a Known Target
Search for the letter L
Search Duration vs. Number Decoys 40
Response Time (sec) 16 32
Number of Distractors
M. Pavel - PNNL March 8, 2002
May 6, 2019

8. Representation of Uncertainty
M. Pavel - PNNL March 8, 2002
May 6, 2019

9. End
M. Pavel - PNNL March 8, 2002
May 6, 2019