SEEV Model of Visual Attention Allocation

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Presentation transcript:

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

Flight Simulator Cockpit

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

Sample Flight Scenario

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

% Dwell Time Results: 10 Conditions x AOI Outcomes to be Modelled Condition IP OW CDTI ------------- ----- ----- ------ Visual (Load=1) 64.4 24.2 11.4 Visual (Load=4) 50.2 25.8 26.2 Auditory (Load=1) 60.3 39.3 Auditory (Load=4) 44.9 54.6 Slide 6

Salience, Effort, Expectancy, Value (SEEV) Model

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

Preliminary Analyses: Identify Cognitive Tasks and Visual AOI’s

Map Visual AOI’s to Cognitive Subtasks

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

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

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

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

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

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

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)

Modified-SEEV Predictions (RAW)

The calculations….

Observed Data vs. modified-SEEV Model Predictions