Americans are still reading books, Internet and all! Younger Americans are actually reading more than older generations, which could be partially due to the fact that with the rise of texting and social media, so much of our communication is text-based, so everyone is doing a lot more reading (and writing) in order to communicate with their friends. The original study is linked in that article and in this graph:
What are some other ways to get people to read books?
Well it helps a lot if your college library not only tells you the call numbers of the book, but it gives you precise directions to the location of the book, which is pretty awesome. Much more useful when navigating a giant library, like I have access to at the university I work at, as opposed to the smaller library at the university I actually attended.
The potential benefits and issues of self-driving cars have been addressed by many magazines, from The Economist and The Atlantic, to Business Insider and Forbes; and more recently acknowledged by highway safety authorities in the USA. A hot-button issue as of late, using autonomous vehicular control to reduce traffic fatalities and injuries is an ideal that should be encouraged, but it can’t be achieved without addressing a variety of concerns. Threats of generational trends, liability, security, and class (and cost) issues could doom a future of fully autonomous vehicle domination before it begins.
Naturally, to evaluate the future of this technology, we must first understand how self-driving cars work. Two notable elements of operating a self-driving car are the abundance of sensors involved and the integral role of programming the “right” way to drive. As quoted in the article:
Sometimes, however, the car has to be more “aggressive.” When going through a four-way intersection, for example, it yields to other vehicles based on road rules; but if other cars don’t reciprocate, it advances a bit to show to the other drivers its intention. Without programming that kind of behavior, Urmson said, it would be impossible for the robot car to drive in the real world.