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The Digest contains annotated links to articles and Web sites, many of which are available on the public Web. New items are added monthly and cover a wide range of editorial, research, management, and technical topics.
Technorati engages in a bit of folksonomy with it's newly-launched tags.
Bloggers can place a link to the tags page, and Technorati will include it in its count.
This is the first study I know of where the author actually observed and interviewed folksonomy users (a good reminder that most of the conversation to date has been by folks who don't actually build social categorization tools).
2004 UX professionals salary survey has interesting data , though since most respondents were from the US, information on other countries is limited.
Go try Google Suggest now, if you haven't. Google Suggest shows the feasibility of using type ahead with very large collections of terms, like tags in a folksonomy.
Now, one of the drawbacks of using ad hoc tags in social classification is the lack of vocabulary control - people use different tags to mean the same thing. This is fine for organizing personal information architectures, but the lack of consistency, while reducing the cognitive cost of classification, actually increases effort in finding information.
To deal with the issue, there needs to be a feedback loop. Flickr has the most popular tags float to the top, 43 Things and others use type size to show more popular tags. There's an argument for that kind of subtle feedback. However, to really bridge between levels of classification, to move from a distributed folksonomy to a controlled vocabulary and then to a formal thesaurus, we need more than implicit incentive in using a particular tag. Using type ahead to show other tags is one way of doing that, as James Spahr illustrates so well. But I've always wondered about how scalable this approach would be with a massive tagset. With Google Suggest, instead of wondering how type ahead would scale, I'm wondering how we can implement a similar scale system for tags...
John Frazer's Evolutionary Architecture examines architecture as evolution, and architects as shaping the process. Interesting lessons for information architects abound in the brief look through that I've had. Frazer's site at Autotectonica shows an ambition to generalize his thinking into general systems design and design education, but is sadly just an under construction placeholder.
I like Dan Saffer's diagram looking at interaction design and information architecture (PDF) through the lens of what kind of products each practice addresses. It's concrete, instead of the hand-waving turf war some people enjoy. It reminds me of Marti Hearst's quadrant from CHI2001 panel on measuring IA (requires IE, see slide #2 'A Simple Taxonomy'). The axes for the quadrant were complexity of content and complexity of applications...
Peter van Dijck expresses frustration with the slow pace of new thinking in his information architecture research agenda. Lots of good response on SIGIA and the aifia-members lists that Peter sums up on his blog.
In particular, the question of whether we need more research, or whether we need more innovation is important. While basic research is valuable, many of Peter's points revolve around cross-training with other disciplines like business management or ethnography...often a quicker win for practitioners.
The problem of a slower flow of new ideas is also from maturing practice - our current tools are good enough to get by, so we aren't as motivated to find new tools, even though they might be better.
What’s the level of interest among information architects and web developers in implementing A-Z indexes on their sites?
Why don’t we see more indexes? I attempted to answer this question in a posting an essay to IA-WIKI Web Site Indexes, although I have not yet received any comments there.
My sense is that even if information architects are interested in implementing A-Z indexes, they do not have the time, inclination, or skills to do it themselves (unless they are former librarians who had taken a course in indexing). Indexing is similar, yet distinct enough from category or taxonomy development to require specific training or study from a course or book. Yet information architects might not even know where to find contract indexers.
As indexing is a very established profession, it is probably easier for people who create web sites to look up indexers, than for indexers to try to target people creating web sites. Most indexers belong to the professional associations of their country, which maintain searchable online directories of subscribing members and contract job posting bulletins.
Gene has an interesting post about personal information architectures, something he spoke about at the recent Future of IA Retreat. While the recent interest in social classification and folksonomy is a large reason to talk about personal info. architecture, I think that Thomas Vanderwal has also been talking about the issue for a few years as the Personal Info Cloud.
Earlier in the spring I blogged about Best Buy using personas. It’s interesting to me to see how those personas have started to permeate Best Buy culture - with customers being labeled with the name of the persona, as discussed in this Wall Street Journal article.
Store clerks receive hours of training in identifying desirable customers according to their shopping preferences and behavior. High-income men, referred to internally as Barrys, tend to be enthusiasts of action movies and cameras. Suburban moms, called Jills, are busy but usually willing to talk about helping their families. Male technology enthusiasts, nicknamed Buzzes, are early adopters, interested in buying and showing off the latest gadgets.
An interesting (though week-old) discussion going on over at OK/Cancel regarding searching vs. sorting vs. browsing.
Just a reminder to us all that there is a ton of Internet activity that doesn’t take place in front of a beige box (or a shiny metal one if you’ve got a G5 :-) ).
Laszlo Systems provides a platform to develop Rich Internet Applications, and announced at Web 2.0 that they have open sourced their basic server. That means that there’s an open platform for developing RIAs that doesn’t require any knowledge of Flash itself - just a new markup language similar to XHTML, XUL, etc.
Google has launched their integrated desktop search in public beta. The most interesting thing is that rather than being a desktop application, it simply adds another tab to Google’s search results, and displays indexed desktop content from email, Office documents, etc.
Peter Morville spent some time in the library this summer looking for research related to information architecture. He just published a list of freely available papers, categorized by broad topics like navigation and search. Useful stuff, but heavy reading at times.
Lou Rosenfeld shares some more IA heuristics, this time focused on search.
Donna Maurer has an insightful post comparing the task-orientation of HCI to the iterative information seeking behaviors we see on the web. Trying to apply a task-centric perspective to the problems of looking for unknown information seems to cause a lot of the friction between "old skool" human factors types and more web savvy newcomers.
A while ago on the aifia-members list, Gene Smith asked about social classification generated by the informal user tagging in Flickr, del.icio.us, etc. In his reply on the list, Thomas coined the term folksonomy to describe these informal classifications, and Gene’s folksonomy blog post sparked a lot of conversation around the community.
One thing that really strikes me about social classification is that it’s user-centered bottom up classification. Most bottom up classification is document or collection centric. Social classification provides insight not just into content, but into users and context as well.
UIDesigner points to The Tao of ROI, a must-read article for UX types looking to communicate business value. The key take away for me, something I’ve had a gut feeling for, but never articulated, is that the value of an ROI exercise is in the process, not the result.
This underscores some of the lessons in Adaptive Path’s recent ROI report, where the process and discipline of measurement and accountability are what distinguish one organization from another, rather than simply projected outcomes.