Smart car cockpit conforms to the driver’s habits
The company’s Human Bayesian Intelligence Technology (HABIT) system employs machine learning algorithms that are cognizant of the specific driver and the surrounding environment.
The HABIT system continually learns as it processes a driver’s selections of climate temperatures, radio stations, phone call tendencies and other unique behaviours depending on the outside temperature and time of day. It factors in the individual’s historical inputs to present a human-machine interaction (HMI) that is customized for the driver. The system also learns the driver’s tastes – even when he or she is not in the vehicle. For example, HABIT registers activity like music that the driver has listened to using his or her on-line music library or Internet radio.
“The goal of HABIT is to become an experience that improves each time the driver uses the ever-aware system,” said Shadi Mere, innovation manager at Visteon. “With vehicle manufacturers striving to deliver a more personalized driving experience, the HABIT cockpit concept demonstrates how your car can learn and grow with you over its lifetime.”
During a recent research clinic, more than 70 percent of survey respondents had a positive initial reaction to the HABIT concept. Respondents liked the anticipatory learning of the system and the natural voice interaction, combined with voice shortcuts, which aligned with their expectations of voice commands similar to the ones on their smartphones and other devices.
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