Find the Edge of Attention

by Joshua Porter  |   12 Comments  |  shortlink: http://bokardo.com/p/421

Perhaps you’ve heard of Attention with a capital A? It’s the notion that in an increasingly content-packed world made up of TV, radio, newspapers, web sites, podcasts, RSS feeds, and email that we could, in theory, record everything we pay attention to and then it would be worth something or provide us value in some way. Following this idea we should be in control of it instead of advertisers who pay ever more money to learn as much as they can about us, even without our knowledge. Attention is flipping that model on its head. We know about us, pay us for that information and you can advertise to us.

But it’s not just about advertising. It’s also about what I’m really interested in: recommendation systems. Basically, recommendation systems are systems that record what we pay attention to in order to provide recommendations to us. Think Amazon.com recommending books to us based on our past purchases and Last.fm recommending music to us based on our listening habits. Those are great examples of specialized attention recorders that record only a sliver of what we pay attention to. (an important sliver, but a small one nonetheless)

Contrary to the previous two examples, the basic message of the AttentionTrust gang is that we should own our own attention data. (just try getting your attention data from Amazon) To that end, they’ve built an Attention Recorder that tracks clickstreams while you browse. You don’t have to do anything, it just sends data silently to a growing database of attention data. The problem is the same problem that us web designers have. You can’t tell much from clickstreams: no motivation, no intention. You can’t figure out why someone does something by looking at their clickstreams.

As in all fields, however, ideas are rarely new: they probably exist in some form already. Recently I was reminded of this in regards to Attention from Ray Deck, who has built an Attention engine that already works, that is making his business successful, and that is, in my amateur opinion, a prototype of what is to come.

Ray runs Element55 in Cambridge, MA. He builds software for lawyers and when he was explaining his business to me I kept hearing the same word over and over again (though he never said it). That word was attention. Ray builds software that allows lawyers to monitor what they pay attention to so that they can bill clients accurately. Did they spend 10 minutes researching that topic? Yes, that goes on that account. The Element55 software records this information by sitting in the middle of the lawyer’s task-based software (MS Office, web browser, email) and the OS, simply recording what is running, where it is going, and for how long.

But it’s not all automated. An interesting piece of the software is a panel for lawyers to make decisions before the data is sent to the time-tracking software.
I think this is an important point. We can give people software to help them track their attention, but that doesn’t mean they don’t have to make decisions about it. Instead of software that silently observes, we need software to help us make decisions about our attention…and we’ll need to if monitoring attention is really important to us. I have a feeling that this is important in most of our software…it should help us make decisions…not take the decision making out of the process.

Another interesting thing about what Ray is doing is that this is not web-based software. It’s an actual desktop application. This is because Ray is not your average web-head. In fact, he’s too contrary to be a web-head when everyone else is. He actually moved from web-based software to desktop-based software! How is that for finding the edge?

Lawyers, in hindsight, are the perfect candidates for someone who needs to know what they pay attention to. They bill by the hour, but rarely work on things an hour at a time. So they need to take this five minute research event and combine it with that 15 minute phone call, and come up with some number that they can then apply to their time-tracking software and bill their client accurately.

So far the whole Attention movement has felt like a solution in search of a problem, albeit a very interesting and thoughtful discussion. But Attention is a real problem, right now, to people like lawyers. And there are folks who are solving that problem, right now, like Ray Deck.

Now, the question I wonder about is: what other professions needs this type of attention-tracking? Where are people already recording their attention, and what tools are they using? What can we learn from companies like Amazon and Element55?

The edge, I imagine, is further out than we think.

Check out my latest project: Make them Care!, a book on designing great sign-up experiences. Get reminded when it's published.

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Comments

1.  Matt Terenzio 9:51am, Thu 29th, 2006

That’s a great post.
I do, however think there is an Attention problem right now for RSS subscribers that is not about marketing or recommendations. It’s about scarcity of time.
I’m only a medium-level subscriber with about 50 or 60 feeds, and I find that, coupled with email, a challenge to keep up with.
So, even if I want new recommendations, I also need a trusted filter to save me time.
I think attention affinity groups might help here .

2.  Josh 10:52am, Thu 29th, 2006

Certainly! Yes, thanks for adding that point, Matt.

3.  Ed Batista 11:25am, Thu 29th, 2006

I agree with Matt, Josh–great post, although I take issue with some of your assertions. (Further thoughts at http://attentiontrust.org/node/341.)

I also strongly concur with Matt that “attention affinity groups” will be key. The ability to correlate our individual attention data with data from a one or another community that we select contextually will be essential. Sometimes I’ll want to compare my data with the world’s data, sometimes with one of my social networks, sometimes with my co-workers, sometimes with my close friends and family.

Ed Batista
AttentionTrust

4.  Josh 4:28pm, Thu 29th, 2006

Thanks for responding, Ed. Had a bit of an issue leaving a comment over there, so I’ll leave a shortened one it here.

My major question is: What can you infer from aggregating clickstreams?

Clickstreams are like roads. You know where somebody has been, but what exactly were they doing there?

5.  Ed Batista 6:47pm, Thu 29th, 2006

Sorry you had a problem at our site, Josh. Could you email me details so I can try to diagnose?

I have no expertise in data analysis, but I’m surprised that you don’t think patterns that reflect a user’s intentions couldn’t be extracted from a sufficient amount of clickstream data. (I realize that begs the questions, “How much is sufficient?” and “If it’s difficult to reach sufficiency, is there a shortcut?”)

As I said in my post, I personally believe that widely adopted attention systems will rely on a combination of implicit and explicit gestures. But I have concerns about ways in which explicit gestures can be manipulated, and, my lack of expertise notwithstanding, I’m not willing to write off the utility of implicit gestures just yet.

Lots to discuss further here–let’s do a podcast. Next week sometime?

Ed

6.  Josh 8:50pm, Thu 29th, 2006

Ed, I think we’re along the same spectrum here, I’m just more pessimistic about the value we can derive from clickstreams, that’s all.

I think you’re right in that we can infer something…probably even enough to advertise on, maybe interest-level, say. But intention is another, more complex animal. I’ve sat in on user tests where I couldn’t even figure out what they were doing, even as they verbally tried to explain it! So, you’re right, we’re just disagreeing on “how much”.

Sure, I’m up for a podcast anytime.

7.  Ed Batista 9:25pm, Thu 29th, 2006

Agreed. Will drop you a line to schedule a call.

Ed

8.  Daniel Szuc 4:57am, Sun 2nd, 2006

Suggest that disruptive technologies are also harming attention outside of using the computer. Emails coming into the inbox, mobile phone calls, Instant Messages etc. How often have you felt distracted in meetings or facing the challenge of keeping someones attention. Have also noticed how the generation who grew up with internet and computers are able to multi task easily … is this a good thing though?

9.  Steve Sherlock 9:15am, Thu 13th, 2006

How about using the data to help focus individual work? As a personal productivity tool or plugin to your current task or project list. If you set your objectives/goals, then go about your work (hopefully on task), you could get confirmation that indeed your work was exactly towards the achievement of a goal for this amount of time, and yes, the deviations due to checking the World Cup scores were “not productive time”. Thoughts?

I would prefer the desktop version instead of proceeding down the “big brother’s watching” path.

10.  John B. 9:29pm, Sat 29th, 2006

Compete.com is already aggregating Attention streams of many to create data points that can be leveraged by individuals (i.e. data points to help individuals make informed decisions). Check out their app at home.compete.com

11.  Jeremy 1:17pm, Mon 15th, 2007

How often have you felt distracted in meetings or facing the challenge of keeping someones attention.