I was looking for information on the purchase of FeedDemon by Newsgator (I know this does not make me look like "Mr. Current Affairs" as this happened
back in May). Anyways, via
Nick Bradbury's blog I stumbled upon the
AttentionTrust.org, whose purpose I did not understand from their website but through
talking with talis: ...they encapsulate the notion that the record of the things I visit, look at, listen to, buy, or otherwise engage with - the things to which I give my attention - is mine. At present, parts of that information flow or 'click stream' are locked away within the systems of e-Commerce companies, and used by them to deliver the recommendation-style services found on Amazon and similar sites. Other parts of the click stream are stored elsewhere for various purposes, and significant elements of it are simply never stored at all in any coherent fashion.
Little, if any, of it is available to the user in any structured fashion. It is impossible to easily migrate buying habits from one online bookstore into another. It is also not feasible to intelligently combine an individual's library borrowing habits with book purchasing information, or to amalgamate previous travel preferences from travel agent, hotel, airline and car rental company systems.
Yet, AttentionTrust would argue, the content of that click stream belongs (at least in part) to the individual, and it should be for them to make informed decisions as to the ways in which the data are shared and combined by various third parties.
It is further suggested that an individual's attention data has an economic value, and that we might choose to share data with third parties in order to receive more relevant recommendations, discounts on future transactions, and more.
As Ed mentions in our conversation, the potential value of attention data is not only to large commercial organisations that wish to entice us with more targeted services. A free flow of attention data might also facilitate more effective communities of interest, such as those around particular books, authors, pastimes, or academic subjects.
This is certainly an interesting concept. While on the business side this is collected like there is no tomorrow, equipping individuals sounds like a good idea to me.
Last week I spoke to a consultant to the tourism industry, who told me that they have their analysts working on 900 types of user generated data to improve their web services. These 900 entries incude everything from time between clicks to all the usual and unusual data one can think of. She explained to me that within 5 minutes on their website, 30% of the 900 entries are generated from the logfile and once the customer has actually booked a stay or a flight, 95% of the 900 entries are established. The (incedibly large) database is then analysed by statistical means and she claimed this has over six months time raised online bookings by 4% above the adjusted and benchmarked levels of last year. All in all this is a good example what attention is really worth...
The last sentence in the quote above on more effective communities of practice reminded me of the
Xpertfinder by Fraunhofer. I was quite fond of the concept when I heard about it a few years ago and I am not sure why it never took off, but maybe the notion of an automated expert identification system based on scanning information flows was too threatening or unclear in terms of data protection laws and employee rights.
In other news: one expression I learned today:
Bubble 2.0