The Design of Driving Simulator Performance Evaluations for Driving With Vision Impairments and Visual Aids. Aaron J. Mandel
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1 The Design of Driving Simulator Performance Evaluations for Driving With Vision Impairments and Visual Aids Aaron J. Mandel Schepens Eye Research Institute Harvard Medical School, Boston MA
2 Loss of Vision s Influence on Driving Design and evaluate visual aids for specific vision impairments/ vision loss Today: Detection task while driving with visual field loss
3 Normal Vision vs. Hemianopia 180º Horizontal field of view 90º Horiz. field of view Normal Visual Field (Binocular) Left Hemianopia (Binocular)
4 Hemianopia Hemi an opia = Half Non Seeing
5 Causes of Hemianopia Hemianopia is an issue with the brain; not the eye. Stroke Brain tumor (or surgical removal of) Head trauma
6 Prevalence About 5 million stroke survivors in Unites States* 30-45% of those have Hemianopia ** * National Health Interview Survey, 2002 ** Gray et. al, Age Aging, 1989 ** Rossi et al, Neurology, 1990
7 Hemianopes Can Drive Legally 27 Can Drive 23 Cannot Drive
8 Driving With Hemianopia Non-uniform state laws between states: Little empirical research to justify such laws For the safety of other road users For the safety drivers with hemianopia Denying anyone driving privileges is a serious issue removal of independence
9 Driving With Hemianopia + Visual Aids? Little information about driving with field expanding visual aids No states currently endorse the use of field expanding visual aids to qualify.
10 A Visual Field Plot Does Not Represent Real World Conditions
11 FAAC Incorporated: PP-1000 Custom Scripting Software (Scenario Tool Kit v 1.3)
12 Honk at Pedestrian
13 Pedestrian At 220 Feet
14 Primary Measures Detection (seen/not seen) Reaction Time (when seen)
15 Where We Put Pedestrians Right and Left Sides - Applicable to Right Hemianopia or Left Hemianopia (Between Subject Comparison) - Compares Blind Side to Seeing Side (Within Subject Comparison)
16 Additional Methodology Low & High (30 & 60 mph ) posted speed limits 5 scenarios per test (high/low speed, scripted traffic) targets appear per scenario Approximately 30 minutes of driving
17 Targets Appear at Reasonable Distance 220 (67m) away for low speed scenario, 440 for high speed scenario 6 target is visible This distance equates to 5 seconds from driver AASHTO guidelines 2.5 seconds to react
18 We place targets and want to know where they appear in a person s visual field. A target appears either left or right of anticipated gaze direction. We must make assumptions about where the person is looking
19 Video Examples Front Left Monitor: Illustrates target presentation via multiple monitors Center Monitor: Driver looks here for majority of drive
20 Target Appearance Front Left Monitor Center Monitor Rear View Mirror Side View Mirror
21 Target Location at Instant of Target Appearance
22 Place Target Here 14º off gaze direction Driver looks straight ahead
23 Predict Fixation More Accurately with Attention-Getter
24 Target Location at Instant of Target Appearance
25 Place Target Here 14º left of anticipated fixation location Driver looks at Ambulance
26 3. Position target 14º and 440 feet from tangent-driver line 2. Compute Tangent Point Driver Gazes at Tangent Point of Curve 1. Select a car location in curve when target will appear Concept: Land and Lee, Nature (1994)
27 First Pilot Study Two drivers with Left Hemianopia (missing the left visual field) Three drivers with normal visual field
28 Percentage of Targets Detected 100 Percentage detected Control 1 Control 2 Control 3 Left hemi 1 Left hemi 2 Left targets Right targets
29 Percentage of Targets Detected 100 Percentage detected Control 1 Control 2 Control 3 Left hemi 1 Left hemi 2 Left targets Right targets
30 Percentage of Targets Detected 100 Percentage detected Control 1 Control 2 Control 3 Left hemi 1 Left hemi 2 Left targets Right targets
31 Mean Response Times Left targets Right targets time time in in seconds Time in left targets right targets left targets right targets control 1 control 2 control 3 left left Control control 1 Control control 2 Control control 3 Left hemianopia left 1 1Left hemianopia left 2 2 hemianopia 1 hemianopia 2
32 Mean Response Times Left targets Right targets time time in in seconds Time in left targets right targets left targets right targets control 1 control 2 control 3 left left Control control 1 Control control 2 Control control 3 Left hemianopia left 1 1Left hemianopia left 2 2 hemianopia 1 hemianopia 2
33 Mean Response Times Left targets Right targets time time in in seconds Time in left targets right targets left targets right targets control 1 control 2 control 3 left left Control control 1 Control control 2 Control control 3 Left hemianopia left 1 1Left hemianopia left 2 2 hemianopia 1 hemianopia 2 F(1,155) = 8.5, P=.005
34 Second Pilot Study
35 Percentage of Targets Detected percent seen No significant differences. control 4 control 5 partial left quadranopia Left targets Right targets
36 Mean Reaction Times time in seconds control 4 control 5 partial left quadranopia Left targets Right targets
37 Pilot Study Outcomes 1. Complete hemianopia miss significantly more targets on blind side than seeing side or controls 2. When detected, response times are significantly greater 3. Partial hemianopia still shows difference (in reaction times, not % detected)
38 Summary Scenarios working as designed We can measure clear performance differences with our scenarios
39 Additional Measurements
40 Analysis of Driver Behavior at T-Intersections Specific challenges to drivers with Hemianopia
41 Analysis of Driver Behavior at T-Intersections Illustration Not to Scale
42 Left Hemianopic Driver Turning Left and Looking Left for Traffic Outside Functional Visual Field
43 Left Hemianopic Driver Turning Left and Looking Right for Traffic Outside Functional Visual Field
44 Labeled T-intersection Targets If Driver Turns Left This is Target AL If Driver Turns Right This is Target AR
45 Controls at T-Intersections AR AL BL CL DR Control1 Control2 Control3
46 Hemianopes at Intersections Field Loss AR AL BL CL DR Troublesome Left Left Right Right Right for +Left +Left
47 L. Hemianopes at Intersections Field Loss AR AL BL CL DR L Partial Quad. Left Hemi. Troublesome Left Left Right Right Right for +Left +Left
48 Accuracy of Our Predictions Visual Field AR AL BL CL DR L Partial Hemi. Left Hemi. Troublesome Left Left Right Right Right for +Left +Left
49 Hemianopes at Intersections Field Loss AR AL BL CL DR L Partial Quad. Left Hemi. Right Hemi. Right Hemi. Right Hemi. N/A Troublesome Left Left Right Right Right for +Left +Left
50 Hemianopes at Intersections Visual Field AR AL BL CL DR L Partial Hemi. Right Hemi. Right Hemi. Right Hemi. N/A Left Hemi. Troublesome Left Left Right Right Right for +Left +Left
51 Accuracy of Our Predictions Visual Field AR AL BL CL DR L Partial Hemi. Left Hemi. Right Hemi. Right Hemi. Right Hemi. N/A Accuracy of 50% 100% 20% 20% 80% Prediction
52 Labeled T-intersection Targets
53 Additional Measure: Steering Stability Do Hemianopic Drivers swerve more than drivers with full visual field? Do Hemianopic Drivers tend to hug one side of the road?
54 Additional Measure: Steering Stability We defined segments and perform analysis through straight, curved and intersection segments (Coeckelbergh et. al, Vision Research, 2002)
55 Scenarios are sensitive to what we are looking to evaluate Now using in study
56 The Study (In Progress) Peripheral Prisms: a visual aid for hemianopic visual field loss
57 Peripheral Prisms Without With Left Hemianopia
58 Thank You Co-Authors: A. Bowers E. Peli K. Higgins R. Goldstein L. Bobrow Technical Assistance: S. Lerner FAAC Support: NIH grants EY12890 and EY14723 Center for Innovative Visual Rehabilitation at the Boston VA Hospital
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