Intel wants to make autonomous driving as human as possible
Intel's latest study is aimed at helping cars communicate with the passengers to ease the feeling of being at mercy of the machines.
Autonomous car technology is evolving rapidly, to a point where companies have already started focusing on the finer aspects of it. Intel's latest study, for instance, looks at how best to refine in-car technology in autonomous vehicles to present a more human touch to machines. This, as the company hopes, will hold key to gaining the common man's trust when it comes to autonomous vehicles, and make him feel more at home with the technology.
In demonstrations, Intel is choosing the audience from the general crowd to ride an autonomous vehicle. The array of new technology include window-mounted display, and additional visual and audio alerts for passengers based on the course of action that the car takes. For instance, when an autonomous car arrives to pick you up, the windshield will display your name and a welcome message to both help identify the car from a pool of self-driving vehicles, and make you feel more at ease. Other elements like adaptive driving assists (including pedestrian detection) will give similar alerts to let the passenger know why the car is slowing down, or why a sudden detour is being taken.
Doing this will help the passenger feel more connected to the car itself, and get a better interface for interacting with the car. Going into the future, these autonomous vehicles will have audio receptors and speech processing modules that will be able to receive passenger queries and respond via an AI assistant. For instance, if you need a sudden change of route or maybe alter the climate control, you can simply talk to the car and have the car respond to you in speech. This will more successfully emulate the feeling of having a more human presence in the vehicle, and not the cold steel of AI robots.
Intel's new study is based on improving user experiences, where a person feels safe and comfortable in a self-driven car. It also helps build trust on these AI systems, and assures a better future prospect for these vehicles and the technology. While the technology is slowly moving beyond the nascent stages, researches like these are necessary to prep you, the future passenger, to have a better understanding of the technology itself.