In defense of distraction

Fascinating feature in New York Magazine about how we are dealing with all these technologies that require constant attention and apparently we are not very good at multi-tasking

Over the last twenty years, Meyer and a host of other researchers have proved again and again that multitasking, at least as our culture has come to know and love and institutionalize it, is a myth. When you think you’re doing two things at once, you’re almost always just switching rapidly between them, leaking a little mental efficiency with every switch. Meyer says that this is because, to put it simply, the brain processes different kinds of information on a variety of separate “channels”—a language channel, a visual channel, an auditory channel, and so on—each of which can process only one stream of information at a time. If you overburden a channel, the brain becomes inefficient and mistake-prone. The classic example is driving while talking on a cell phone, two tasks that conflict across a range of obvious channels: Steering and dialing are both manual tasks, looking out the windshield and reading a phone screen are both visual, etc. Even talking on a hands-free phone can be dangerous, Meyer says. If the person on the other end of the phone is describing a visual scene—say, the layout of a room full of furniture—that conversation can actually occupy your visual channel enough to impair your ability to see what’s around you on the road.

The only time multitasking does work efficiently, Meyer says, is when multiple simple tasks operate on entirely separate channels—for example, folding laundry (a visual-manual task) while listening to a stock report (a verbal task). But real-world scenarios that fit those specifications are very rare.

But why do we have this urge to do multiple things?

I’m not ready to blame my restless attention entirely on a faulty willpower. Some of it is pure impersonal behaviorism. The Internet is basically a Skinner box engineered to tap right into our deepest mechanisms of addiction. As B. F. Skinner’s army of lever-pressing rats and pigeons taught us, the most irresistible reward schedule is not, counterintuitively, the one in which we’re rewarded constantly but something called “variable ratio schedule,” in which the rewards arrive at random. And that randomness is practically the Internet’s defining feature: It dispenses its never-ending little shots of positivity—a life-changing e-mail here, a funny YouTube video there—in gloriously unpredictable cycles. It seems unrealistic to expect people to spend all day clicking reward bars—searching the web, scanning the relevant blogs, checking e-mail to see if a co-worker has updated a project—and then just leave those distractions behind, as soon as they’re not strictly required, to engage in “healthy” things like books and ab crunches and undistracted deep conversations with neighbors. It would be like requiring employees to take a few hits of opium throughout the day, then being surprised when it becomes a problem. Last year, an editorial in the American Journal of Psychiatry raised the prospect of adding “Internet addiction” to the DSM, which would make it a disorder to be taken as seriously as schizophrenia.

The most promising solution seems to be meditation to get your executive attention control in shape

The most promising solution to our attention problem, in Gallagher’s mind, is also the most ancient: meditation. Neuroscientists have become obsessed, in recent years, with Buddhists, whose attentional discipline can apparently confer all kinds of benefits even on non-Buddhists. (Some psychologists predict that, in the same way we go out for a jog now, in the future we’ll all do daily 20-to-30-minute “secular attentional workouts.”) Meditation can make your attention less “sticky,” able to notice images flashing by in such quick succession that regular brains would miss them. It has also been shown to elevate your mood, which can then recursively stoke your attention: Research shows that positive emotions cause your visual field to expand. The brains of Buddhist monks asked to meditate on “unconditional loving-kindness and compassion” show instant and remarkable changes: Their left prefrontal cortices (responsible for positive emotions) go into overdrive, they produce gamma waves 30 times more powerful than novice meditators, and their wave activity is coordinated in a way often seen in patients under anesthesia.

Gallagher stresses that because attention is a limited resource—one psychologist has calculated that we can attend to only 110 bits of information per second, or 173 billion bits in an average lifetime—our moment-by-moment choice of attentional targets determines, in a very real sense, the shape of our lives. Rapt’s epigraph comes from the psychologist and philosopher William James: “My experience is what I agree to attend to.” For Gallagher, everything comes down to that one big choice: investing your attention wisely or not. The jackhammers are everywhere—iPhones, e-mail, cancer—and Western culture’s attentional crisis is mainly a widespread failure to ignore them.

Author suggests that some of the predictions associated with the attention problem might be overblown and may be our brains will just adapt to the new stimulus environment…I am not sure but I hope certainly that we can cope.

Tons of data, but does it help?

Some interesting data via mediapost sourced from Andreas Weigend, over at the Harvard Business Blog.

In 2009, more data will be generated by individuals than in the entire history of mankind through 2008. Information overload is more serious than ever.

Andreas is the former Chief Scientist at Amazon.com and an expert in data mining and computational marketing. He currently teaches the graduate course Data Mining and Electronic Commerce at Stanford University.

The second data revolution brought about a new dimension to data creation: users started to actively contribute explicit data such as information about themselves, their friends, or about the items they purchased. These data went far beyond the click-and-search data that characterized the first decade of the web.

There is no doubt that this data is going to help researchers better understand the human network and interactions. But will all this data help companies make money by enabling better targeting?

Well so far, opposite seems to be happening. The places where there is most amount of data – like Facebook etc. – are really struggling with their monetization efforts. In fact not only are these companies not profitable, they are also lagging well behind other traditional media properties in terms of CPM rates they can generate. Could it be that these companies really don’t know how to process this data and once they figure out the right ways to process the data, they will be rich?

I suspect the monetization woes of Facebook et al are not really related to inadequate processing of the data but rather motivation of the users. Its almost like the users of most social media platforms are equipped with a Tivo that ignores all ads no matter how relevant. As such I suspect that even though the ads on social media platforms are more relevant because of all the data, but they get far less traction because of the motivation issues.

So while this huge amount of  data will help us better understand our behaviors, it is unlikely to help resolve the monetization issues plaguing so many social applications.