evidence from change-blindness experiments · change blindness is a measure of attention we notice...
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Conspicuity of motorcycles in traffic:
Evidence from change-blindness experiments
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Introduction
1981*
*Hurt, Ouellet, & Thom (1981)4
35%
65%
Motorcycle Collisions: Multiple Vehicles
Other
Right-of-WayViolation
26%
74%
Motorcycle Collision Types
Single VehicleCollision
Multiple VehicleCollision
Typical Right-of-Way Violation
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Introduction
Common belief: Collisions are due to conspicuityMotorcycles are difficult to detect because they are small
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Countermeasures:Daytime running lights
Introduction
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ThenNow
Introduction
Countermeasures:Headlight modulators
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ThenNow
Introduction
Countermeasures:Fluorescent jackets
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ThenNow
Does enhanced conspicuity reduce collisions?
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Does enhanced conspicuity reduce collisions?
*ACEM (2009)
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35%
65%
1981
28%
72%
2009*
Other
Failure to Seethe Motorcycle
20%
80%
2009*
SingleVehicleCollision
MultipleVehicleCollision
26%
74%
1981
Motorcycle Collision TypesMotorcycle Collisions: Multiple Vehicles
Introduction
If motorcycle collisions are due to poor conspicuity,
And if we have improved motorcycle conspicuity,
Then why have failure-to-see collisions increased?
Are these collisions really due to poor conspicuity?
Are motorcycles even inconspicuous?
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Change-Blindness
Are motorcycles less conspicuous than cars?
Demo
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Are motorcycles less conspicuous than cars?
Change Blindness is a measure of attention
We notice changes for attended objects
Change-Blindness
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Static Change-Blindness
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Static Change-Blindness
1895% Confidence Interval
Are motorcycles detected less frequently than cars?
Sager et al. (In Review)
Static Change-Blindness
Detection times
1995% Confidence Interval
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Car Motorcycle
Re
acti
on
Tim
e (
s)
Static Change-Blindness: Discussion
Motorcycles are visible:
Higher detection rates than cars
Similar detection times to cars
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Contrast
Saliency (Sensory Conspicuity)
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Orientation
Saliency (sensory conspicuity)
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Spatial Frequency
Saliency (sensory conspicuity)
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Colour
Saliency (sensory conspicuity)
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Static Change-Blindness
Saliency maps and Gaze Maps
Perception is More than Sensation
Context
Intention
Memory
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Static Change-Blindness
Car and Motorcycle Gaze Maps
Static Change-Blindness: Discussion
Motorcycles are not invisible:Higher detection ratesSimilar detection timesSimilar gaze maps
Saliency maps do not predict gaze maps
Solving motorcycle collisions through conspicuityIs solving a problem that does not existAnd it is solving it the wrong way
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Dynamic Change-Blindness
But these images were static
What happens when people actually drive?
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Dynamic Change-Blindness
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Dynamic Change-Blindness 1
Ss Drove down a straight road
Screens flickered onceA parked vehicle was removed
Ss indicate change detection
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Dynamic Change-Blindness 1
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0
10
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90
100
Motorcycle Car
Pe
rcen
t d
ete
ctio
nDetection Rate
t58 = 2.03p = .047
Motorcycles are detected more frequently than cars
95% Confidence Interval
Ss Drove toward intersection
Screens flickered onceA vehicle was removed on
half the trials(entering or exiting)(car or motorcycle)
Ss indicate change detection
Dynamic Change-Blindness 2
SDT: Was ist das?
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Target present Target absent
Target reported
Hit False Alarm
Target not reported
MissCorrect
Rejection
Dynamic Change-Blindness 2
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0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
Motorcycle Car
d'
Sensitivity
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Motorcycle Car
β
Bias
t40 = 3.48p = .001
t40 = .24p = .81
95% Confidence Interval
Dynamic Change-Blindness: Discussion
Results replicate findings from static change blindness experiments
Motorcycles are not invisible:Higher sensitivity for motorcycles than for cars
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Conclusion
Motorcycles are (very) visible.
Why?
Sensory conspicuity is not the issue.
Efforts should be directed at education
Because the problem is likely a judgement issue
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Acknowledgments
Daniel M. BernsteinFarhad D. DasturDavid J. Froc
RAsDawn-Leah McDonaldJohn Dema-alaKevin SmithCarley WoodAndrew LoweryAmaris TokJackie KingAaron Richardson
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Questions?
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Additional Slides
Braking Behaviour
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Additional Results
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Car Motorcycle
Me
an F
ixat
ion
Co
un
t
Fixation Count
95% Confidence Interval
Additional Results
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1
1
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Car Motorcycle
Tim
e t
o F
irst
Fix
atio
n (
s)
Time to First Fixation
95% Confidence Interval
Additional Results
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0
200
400
600
800
1,000
1,200
Car MotorcycleMe
an T
ime
on
Tar
get
(ms)
Time On Target
95% Confidence Interval