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.

Compete.com: first Attention based metric

You are all probably familiar with my previous posts (New audience metric, AttentionTrust) about the need for better metric to measure the engagement level of users at a particular web-site. The issue with the current metric of page-views can be best understood by comparing it with TV surfing. Consider a user Ms. X, with a remote, who surfs to a particular channel say FOX and immediately switches over to NBC where she watches a full hour of Apprentice. With page-views, which only measures the number of times a particular page loads or channel is accessed in our example, both NBC and FOX will get equal equal credit for the user. Clearly though, NBC had a better opportunity to engage the user and will likely be a more effective advertising medium for somebody looking to reach the Ms. X.

This inequality in the way the page views are measured is further exacerbated by the difference in which web sites can vary in information density per page. The use of technology like AJAX can enable web-sites to pack a whole lot of dynamic information in just one page. Check out the Noisely…I love this web-site design and the whole application is just one page (except for informational pages like FAQ etc.). All this means that we need a better way to measure the user engagement in order to better evaluate the effectiveness of web-sites.

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Last week Compete.com, a web measurement company, announced the first metric to measure of this important data. From the compete.com blog:

Today we announce that you can use Compete.com to measure a site’s Attention. Attention fuses engagement (measured by time) and traffic (measured by unique visitors) into a single, more complete picture of a web site’s value.

Why is Attention Important?

  • A site’s influence can be under/over stated by traditional metrics.
  • There are only 24 hours in a day – our time is finite. Where we spend our time is where we find the most value.

Notice in the chart above how runescape.com only ranks 436th in unique visitors, yet based on Attention is the 15th most prominent site on the web. If we relied solely on traditional metrics we would overlook the real value and prominence of Runescape.

This is fantastic…I hope more companies follow suite and we can finally focus on truly important metric rather then the arbitrary page views.

If you want to follow this story further check out RWW coverage.

Influence Scale

Check out the post at TrivialTV blog that details, via a graph, the relationship between inbound links and visitors to a site (Great data and thanks for making it public)…

In August 2006 I painstakingly harvested data to investigate the relationship between # of links and vistors/day and the effect of syndicates. I’ve only shared the data with a few friends so far, but one of them has been hounding me to share the plot with a wider audience. With Matthew Hurst’s post about Readers Or Links over at Data Mining today, I decided it’s worth going off-topic for a day. So here’s the plot:

I only included sites that used sitemeter with public data access and that were registered with technorati. Nearly 1800 different sites are represented in the figure.

In aggregate terms, the graph is a good proof that inbound links drive traffic (of course some links are more valuable then other). But it still does not answer the questions about influence…Which of the sites, listed in the graph above, have more influence. Check out this interesting post on the ebiquity blog:

Matt Hurst has a great example illustrating why measuring influence as inlinks (what Technorati does) is too simple. Here are two blogs, their inlink rank as computed by Technorati, their average daily visits as computed by Sitemeter, and the trend in visits over the past year.

As Matt pointed out, measuring readership with tools like sitemeter is problematic. As I write this I realize that I read Matt’s post through his feed in Bloglines, so his blogs will not have registered a visit.

Of course, it all depends on what you mean by influence which is mostly a function of why you are interested in it. For example, if your goal is to sell shoes, ads in “Pink” probably have more impact. If you want to push your new book “Taxes are evil” then Malkin’s blog is the way to go. So influence also has to be measured with respect to the community you want to influence.

Other factors that can determine influence are the kind of visitors that are coming to the site (meaning are these influential visitors or not), what these visitors are doing once they are on the site and how engaged are they … Check out our previous post on the subject that deals with how the engagement level of the users can be gauged using the attention data. Another measure of the influence of blogs can be the number and quality of comments. Of course without a universal measure of the quality of comments, relying on just the number of comments, could be very misleading. Bloggers can just turn off the spam filter and that will generate a huge number of bad comments and thereby game the system for judging influence. But with a common gauge of comment quality, the number of comments can be a useful measure of influence. Developing and popularizing a universal gauge for the quality of comments, is a tough nut to crack but its importance cannot be overstated. I am looking forward to more research (I am waiting for the paper that ebiquity guys mentioned) and new ideas on how best to measure influence…Indeed the future of online communities might depend on it.