Chrysler 300M Research Platform. Cooperative Effort. Current Social Issue. CC++ 300M Driver Study Apply lab experience in Media and Human Interface technologies Build vehicle platform to develop and test driver behavior Develop information workload manager.
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Apply lab experience in Media and Human Interface technologies
Build vehicle platform to develop and test driver behavior
Develop information workload manager
OEM/Supplier/University Collaboration - DaimlerChrysler/Motorola/M.I.T.
Controls Flow of Information
(warnings, phone, etc…)
Identify Vehicle Motion
(stop, turn, accel)
(speed, position, …)
Monitor In-vehicle Situation
(mood, cognitive load)
Develop Tangible Interfaces
(transfer info to human)
Identify Driver Behavior and Stress Level
How dense is the traffic?
Is driver getting ready to apply brake?
Carson Reynolds - Stress Sensings
Ashish Kapoor - Eye/Head Tracking
Joe Pompei – Audio Spotlight and Algorithm
Taly Sharon - Driving Coach
James Kemp – I/O Data Concentrator/Controller
Betty Lou McClanahan - Emotion
John Hansman - Driver-to-vehicle Interface
Carson Reynolds & Ashish Kapoor
MIT Media Laboratory
Results: using pattern recognition, 88% accuracy distinguishing stressful situations from control.