1. Traces roots to 1908 Worldwide Employment: 213,000 2012 Worldwide Vehicle Sales: 9.3 million 2012 Global Vehicle Market: 11.5% 2012 Global Revenue: $152.3 billion 2012 Net Income: $4.9 billion GENERAL MOTORS COMPANY

2. Driving three sources of advanced technology  Internally developed  Externally from startups  Externally from established partners CHIEF TECHNOLOGY OFFICER

3. Take the BEST of what the OUTSIDE has to offer COMBINED with the BEST WE have to offer INNOVATION STRATEGY: DEVELOP, INVEST & PARTNER

4. R&D KEY TECHNOLOGY AREAS Manufacturing Technology – Technologies that advance efficiency and change the manufacturing paradigm Connected Vehicle – Technologies at the intersection of information and entertainment in the vehicle including HMI, speech recognition, cloud services, integration of personal devices, etc. Automotive Cleantech – Technologies related to vehicle propulsion, fuel economy, emissions, energy, etc. Advanced Materials – Materials that create mass efficiency, performance, cost and/or environmental benefits Sensors, Processors and Memory – Technologies that improve functionality or solve technical challenges like automated driving, advanced safety features, etc.

5. Advanced Tech Center Israel / Research Groups  TBD (CyberSecurity, Electrification…. Vehicle Controls and Robotics  Advanced Controls, Estimation Theory, Signal Processing, Actuation, Power Electronics, Artificial Intelligence and Cognitive Systems, Computational Motor Control, Robotics Wireless Enablers for Connected Vehicle  Cellular Technologies (4G, LTE), Infotainment, Navigation, cyber-security  Software Defined Radio and Cognitive Communication  Vehicle2Vehicle Network Evolution and distributed infrastructureless “Fog” application  Low cost, low data rate, intra vehicular sensor networks with power harvesting Human Machine Interface (HMI)  Speech Technologies (enhance natural speech, advanced dialog managers, user models, context algorithms and noise robustness)  Driver centric Adaptive Automation system for Automated vehicles  Integrated Experience and Multimodal Interfaces (speech, gestures, tactile/touch... ) Smart Sensing and Computer Vision  Active safety & Autonomous Driving (sensors’ fusion, scanning MEMS Lidar, MIMO radar, sensor fault detection, 2D/3D Vision, signal processing, electro-optics)  Machine Learning and Pattern Recognition  Flexible and Agile Manufacturing systems Smart Sensing and Computer Vision Human Machine Interface (HMI) Wireless Enablers for Connected Vehicle Vehicle Controls and Robotics TBD (CyberSecurity, Electrification….

6. HMI of Infotainment Systems 1920’s 6 1950’s 2000’s 1950’s 2000’s HMI of Vehicle Interior A Very Brief History of HMI of Instrument Clusters 2000’s

7. Lane Departure Warning Cadillac DTS Cadillac STS Buick Lucerne Opel Insignia Opel Astra LDW w/Traffic Sign Recognition “Opel Eye” Speed/Curve Advisor Cadillac STS Cadillac DTS Cadillac SRX Rear Vision Camera Many Models Electronic Stability Control Many Models Adaptive Cruise Control w/Forward Collision Alert Cadillac DTS Cadillac STS Side Blind Zone Spotter Mirror Chevrolet Traverse Side Blind Zone Alert Cadillac DTS Cadillac STS Cadillac Escalade Buick Lucerne Buick LaCrosse GMC Yukon/ Yukon Denali Chevrolet Tahoe/ Suburban SAFETY AND CRASH AVOIDANCE TECHNOLOGIES Dual Feature Front Camera: Lane Departure Warning and Forward Collision Alert Chevrolet Equinox GMC Terrain Opel Zafira Adaptive Cruise Control and Auto Collision Mitigation Braking

8. CONSUMER ELECTRONICS IS DRIVING MANY OF TODAY’S IN-VEHICLE “CONNECTIVITY” FEATURES ANY TIME ANY CONTENT ANY WHERE Pervasive GPS + iPhone and App Eco-system Social Networking Personal Media Mobile Data Plan Personal Navigation

9. HMI Challenge for Current & Future Vehicles Information Overload!!! - Humans  Cognitive Workload, Driver Distraction  Situation awareness  Cultural differences  Digital natives vs. Aging drivers 9 – Interfaces (Interactions)  Speech technologies  Gestures and Haptics  Multimodal interfaces  New displays (3D, conformal HUD)  Configurable, personalized, adaptive – Machines (Technology)  Automated driving  Active safety devices and warnings  Connected vehicles - information  Communication: phone, sms, web,  Entertainment E – Environmental Factors  Urbanization  Traffic congestion  Cost of energy  Mixed technologies, mobile world HMI

10. HMI Research Methods Traditional/Existing  Usability testing  Driving Simulator testing for performance, workload, and situation awareness  User centered design approach  Contextual inquiry, ethnographic studies  Field operation tests for user interface testing  Focus groups 10 Further Needed  Predictive engineering models  Theory for adaptive user interfaces  Data mining of large-scale deployed systems and online updates to HMI  Understanding Integration of information and flow

11. Oct. 2012 Human Machine Interface in GM ATC-I 11 Technical Charter of HMI group in Israel Human Machine Interaction technologies, methods, and expert knowledge for: Speech and Multimodal Interaction Contextual HMI Tools and Methods Areas of Expertise Speech Technologies Human Automation Interaction Artificial Intelligence Machine Learning and Adaptation Formal Methods; Modeling and Verification Acoustics and Noise Control Linguistics and Language Development Natural Language Processing Multi-agent Systems Automotive Human Factors Integration and Organization of Information Multimodal Interaction

12. Test Vehicle with programmable instrument cluster for user testing. Real-time information flow from CAN Bus for Rear Seat Infotainment applications and for testing adaptive automation concepts Off-head gaze tracking system (Smart Eye) Wide-View Head Up Display for content generation & testing Driving simulator (NADS Minisim) Speech recognition laboratory (SMS demo, Dialog system- CMU, Dialog system-Cambridge Multimodal infotainment interface with Wizard of Oz Implementation HMI Laboratory Setup