1. SEEV Model of Visual Attention Allocation
Wickens, et al. (2003)

2. Flight Simulator Cockpit

3. Areas of Interest (AOI)
Outside World OW
Cockpit Display of Traffic Info
CDTI
Instrument Panel Cluster IP

4. Sample Flight Scenario

5. % Dwell Time Results: (3) Experimental Conditions x (3) AOI

6. % Dwell Time Results: 10 Conditions x AOI Outcomes to be Modelled
Condition IP OW CDTI
Visual (Load=1)
Visual (Load=4)
Auditory (Load=1)
Auditory (Load=4)
Slide 6

7. Salience, Effort, Expectancy, Value (SEEV) Model

8. Subset of SEEV Model tested by Wickens, et al. (2003)
Optimal Expectancy Model in Expert Pilots

9. Preliminary Analyses: Identify Cognitive Tasks and Visual AOI’s

10. Map Visual AOI’s to Cognitive Subtasks

11. Wickens, et al. 2003 Optimal Expectancy Model (SEEV submodel)

12. Computational Model’s Prediction
Of Relative Visual Attention (across AOI’s)

13. Optimal Expectancy Model Coefficients
(Generated via Cognitive Task Analysis)
See next slide for simplified Coefficient Tables

14. Cognitive Task Analysis Results Expressed as Model Coefficients
Wickens, et al., 2003
Cognitive Task Analysis Results Expressed as Model Coefficients

15. Sample Computation of Visual Attention Allocation
(Condition = Visual; Workload = 1=plane; AOI = IP)

16. Model Predictions vs. Empirical Dwell Times from Traffic Segments of Experiment 1

17. Homework Assignment Compute the Visual Attention predictions for the
10 Conditions Represented in SLIDE #6 and
Plot their Relationship to the Mean Percent Dwell Times
Observed in the Traffic Legs of Experiment 1
(i.e., Replicate Figure 8; plot and R2)

18. Modified-SEEV Predictions (RAW)

19. The calculations….

20. Observed Data vs. modified-SEEV Model Predictions