the logic for the distracted driver david strayer
TRANSCRIPT
The Logic for the Distracted Driver
David Strayer
Perspectives on Driving Simulation
Behavioral equation Study design Scenario development Behavioral measures Statistical analyses
Driver Distraction
An activity that competes or interferes with processing information critical to the safe operation of a motor vehicle (i.e., some aspect of driving performance is impaired by the concurrent performance of this activity).
Distracted by something Not all sources of distraction are equal
Sensory/motor (e.g., lighting a cigarette, looking at a map) Attentional/cognitive (e.g., talking on a cell phone)
What is the duration of the activity?
I-SIM Driving Simulator
Customized Data Collection Software
5 networked microprocessors Multicast data sampled 60 Hz Real-time stream
Driving parameters (speed, lane position, etc.) Parameters of all other objects in scenario Trigger real-time “outside” events (e.g., ERP recording)
Off-line analyses extract meaningful data C++ code freely available
Study Design
Car-following paradigm Follow periodically braking pace car (32 trials) Required timely and appropriate reactions Single- and Dual-task conditions (counterbalanced) Dual-task: Hands-free cell phone (positioned in advance) Naturalistic conversations with friends
Performance Measures Driving speed Reaction time Recovery time Following distance Lane keeping Time to collision
Car Following Details
24 mile multi-lane beltway (straight + gradual turns)
Daytime, dry pavement
Pace car programmed to travel in right lane and brake at 32 randomly distributed locations (unpredictable)
Distractor vehicles programmed to travel in left lane between 5 and 10% faster than pace car, providing impression of steady flow of traffic (manipulation of perceptual load)
Scenario duration ~ 10 minutes
Car Following Paradigm
Time (Secs)
20
40
60
80
100
Pace Car's Speed (MPH)
Driver's Speed (MPH)
Following Distance (Meters)
Pace Car's Brake Lights
Driver's BrakeResponse
Building Driving Profiles
Time (Secs)
20
40
60
80
100
Pace Car's Speed (MPH)
Driver's Speed (MPH)
Following Distance (Meters)
Pace Car's Brake Lights
Driver's BrakeResponse
Time (~ 10 minutes)
0 2000 4000 6000 8000 10000 12000 14000 16000 18000
Speed (MPH)
0
20
40
60
80
Driving Profile Data Matrix(Method borrowed from ERP literature)
1 2 3 4 5 6 .. .. .. .. .. .. .. .. 3002
3
4
..
..
..
..
..
32
Time
Tri
als
Average across trials to create a driving profile for each subject/condition(Noise decreases as a function of the sqrt of N)
Driving Speed Profile
Time (sec)
0 1 2 3 4 5 6 7 8 9 10
Speed (MPH)
50
52
54
56
58
60
Single-TaskDual-Task
Reaction Time
Reaction Time (msec)
500
600
700
800
900
1000
1100
Single-TaskDual-Task
½ Recovery Time
1/2 Recovery Time (secs)
3
4
5
6
7
Single-TaskDual-Task
Following Distance Profile
Time (sec)
0 1 2 3 4 5 6 7 8 9 10
Distance (meters)
18
20
22
24
26
28
Single-TaskDual-Task
Effects of Cell Phone Conversations on Driving (Meta-analysis using car following paradigm)
Drivers conversing on a cell phone were 5 times more likely to be involved in a traffic accident χ2(1)=6.1, p=0.013
Traffic Accident
No Accident
Single-Task 2 118 120
Dual-Task 10 110 120
12 228 240
Discriminating Distractions
Not all sources of distraction are equal Multivariate Analysis of Variance Discriminant function analysis
Latest Developments
ASL 501 mobile eye-tracker Eye-scanning patterns
Fix probability Fix duration
Conditional recognition memory analyses Video tape sessions
Detailed coding of behavior Audio tape sessions
Conversation analysis Turn taking Content analysis