- #Extreme school driving simulator data drivers
- #Extreme school driving simulator data driver
- #Extreme school driving simulator data simulator
#Extreme school driving simulator data drivers
Drivers with right hemianopia (RH) detected 83% of intersection pedestrian targets onthe extreme left of an intersection but none on the extreme right, whereas drivers with lefthemianopia (LH) detected 33% on the extreme left and 80% on the extreme right. Detection rates on the blind sidewere lower at the larger eccentricity (median 23%) than the smaller eccentricity (median 66% p= 0.01). Blind side: median detection rate 47% (IQR 22 to 63%),median reaction time 1.65s (IQR 1.05 to 1.84s) seeing side: median detection rate 93% (IQR89% to 99%), median reaction time 0.93s, (IQR 0.88 to 1.25s).
#Extreme school driving simulator data simulator
Inaddition, we are developing methods to automatically quantify driving skills (e.g., steering, laneposition) from the simulator data output.RESULTSDetection rates for roadway pedestrian targets were lower and reaction times longer on the blindside than the seeing side (p ≤ 0.05). Based on visual inspectionof the head movement plots, the number and direction of head movements were recorded and head movement scanning was graded on a 4-point scale (from 1 inadequate to 4 excellent). Preliminary analyses of head movementbehaviors were conducted for intersections with stop or yield signs. Head movements were recorded with an inexpensive, lightweight,head-mounted optical head tracking system. Primary outcome measures were the percentage of targets detectedand reaction times when detected. There were two types of targets:“roadway” targets, which appeared either on the left or right of the road at small (~ 4°) or large(~14°) eccentricities from the presumed line of sight, and “intersection” targets, which wereplaced near or at intersections to test whether drivers were scanning effectively whenapproaching an intersection. Targetsappeared randomly in locations relevant to real-world driving. The primarysimulator task was to detect and respond (by a horn press) to the appearance of pedestrian targetsin a variety of traffic situations while driving according to the normal rules of the road. Each session consisted of a familiarization period of30-60 minutes followed by 6 test drives (each about 12 minutes in duration). They completed two simulator sessions, one weekapart, driving in a high-fidelity simulator. All had current or recentdriving experience (within the last 6 years). Whether increased head-scanningwhile driving results in better detection performance has never been quantitatively investigated.We conducted a simulator-based evaluation of driving with hemianopia to investigate detectionperformance and head movement behaviors on approach to intersections.METHODSTo date, eight people with complete homonymous hemianopia (5 left and 3 right), and withoutvisual neglect or significant cognitive decline have completed the study. It has been reported that inHolland (where driving with hemianopia is permitted), driving examiners consider increasedhead-scanning (especially on approach to intersections) to be an effective compensation forperipheral visual field defects (Coeckelbergh et al., 2002). In the real world, however, they may be able to compensate for the loss byexploring the affected (blind) side using head- and eye-scanning. If the eyeand head were kept stationary, people with hemianopia would not detect anything on the side ofthe field loss. However, there is little scientific evidence derived eitherfrom on-road or driving simulator studies about the safety of driving with hemianopia.
#Extreme school driving simulator data driver
OBJECTIVES In 22 states people with homonymous hemianopia (complete loss of the visual field on the sameside in both eyes) are explicitly prohibited from driving, as they do not meet the minimum visualfield requirements for driver licensing. | Simulator-Based Driving with Hemianopia: Detection Performance and Compensatory Behaviors on Approach to IntersectionsĬonference Proceeding Simulator-Based Driving with Hemianopia: Detection Performance and Compensatory Behaviors on Approach to IntersectionsĪuthors: Alex R Bowers (Harvard Medical School, Boston), David J Mandel (Harvard Medical School, Boston), Robert B Goldstein (Harvard Medical School, Boston), Eli Peli (Harvard Medical School, Boston) Abstract
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