modeling and measuring cognitive load to reduce driver distraction in smart cars tanvi jahagirdar...
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Modeling and Measuring Cognitive Load to Reduce Driver Distraction
in Smart CarsTanvi Jahagirdar
April 21, 2015Committee:
Ashraf Gaffar, ChairArbi Ghazarian
Robert Gray
What causes driver distraction ?
Listening to music, Talking, Interactive Speech System
Ears off the Road
Research• how frequently drivers engage in certain distracting activities,
• how long and under what conditions they usually engage in them,
• drivers’ subjective assessments of the degree of distraction imposed by particular devices and their perceived ability to cope with these distractions,
• risk associated with distracted driving tasks
• whether and how training and practice can minimize driver distraction.
How to measure driver distraction?
• Measures e.g., SSS (Stanford Sleepiness Scale), KSS (Karolinska Sleepiness
Scale)
• Driver biological measures e.g., EEG (Electroencephalogram), ECG
(Electrocardiogram)
• Driver physical measures e.g., PERCLOS (proportion/percentage of time in a
minute that the eye is 80% closed), Gaze direction
• Driving performance measures/ Engineering based e.g., steering wheel angle,
yaw angle, reaction times etc.
• Hybrid measures
Technology Evolution
Why speech recognition is bad?
DISTRACTION
DRIVING RELATED NON-DRIVING RELATED
EXTERNALINTERNALEXTERNALINTERNAL
Checking Car Information,Switching Lights, Indication,GPS
Road Signs,Traffic Lights, Pedestrian Crossing
Media player, Wireless,Kids or Pets on board, Eating,Grooming
Commercials, Unlawful Pedestrians
States:-
1. Stable State
2. Dynamic State
3. Emergency State
Human – Car Interaction (HCaI)• HCaI is subjected to different constraints that generally do not apply
to HCI.
• Every task has precedence in car and driver has to share his attention between activities.
• Input and output devices demanding high attention is not feasible.
• Two-handed operations are unacceptable.
• Driving situations greatly affect the interaction.
Multi-modal Interaction• More Modes Better Interaction• Human – Human Interaction is Multi-Modal:
o Verbalo Para-Verbal o Non-Verbalo Lip Readingo Contexto Historyo …
• “Attaining Perfection in Speech Recognition” is not the answer. We DO need Multi-Modal Interaction.
However is it safe?
Experiment
For this study, we tested an abstract layout of icons of varying sizes, orientation and number of icons while driving, to effectively identify driver distraction and time taken to perform the distractive task.
Our Hypothesis – Large & Simple icons Minimal Driver Distraction
Screen Holder
Abstract UI for testing
Land
scap
e
Portr
ait
4 Ico
ns
8 Ico
ns
Small
Scre
en
Larg
e Scr
een
Tota
l
0.65
0.7
0.75
0.8
0.85
0.9
0.95
1
1.05
1.1
Results
Conclusion• Thus, the most complex task using our prototype should take 2
seconds per screen x 4 screens = maximum 8 seconds.
• The change in screen sizes or orientation did not affect the driver.
• There was also no significant change in using 6 +/- 2 number of icons with an average of less than 2 second response time per command and even less than a second with more experience.
Future Work• This above work was conducted only on a limited small number of participants. More test cases and more
participants would show more accurate results.
• Evaluate our borderlines by testing non-minimalist design of 24 icons compared to the minimalist design of 6+/- 2,
• Also in this work, the order of icons was serialized. Research should be done on randomizing the placement of icons, a comparison between novice and expert drivers in using the In-Vehicle Interactive System.
• Future research can also be done on 5 times vs. 20 times the UI was tested, to study the effect of learning mode and the effect of experience.
• There is also a need to check the difference between the 3 driving states as mentioned in the model.
• Future researchers can change the position of the screen by placing it at the bottom or angling it more to the driver.
Thank you & Drive Safe
Questions?