Summary of my Playful IAs argument

I thought I’d post a short summary of the argument I made in my Euro IA Summit 2007 talk, for those who weren’t there and/or are too lazy to actually go through the notes in the slides. The presentation is basically broken up into three parts:

  1. Future web environments are becoming so complex, they start to show emergent properties. In this context a lot of traditional IA practice doesn’t make sense anymore. Instead of directly designing an information space, you’re better off designing the rules that underly the generative construction of such spaces. In other words, IA is becoming a second order design problem.
  2. IAs tend to argue for the value of their designs based solely on how well they support users in achieving their end goals. I propose supporting experience goals is just as important. From there I try to make the case that any powerful experience is a playful one, where the user’s fun follows from the feeling that he or she is learning new stuff, is kicking ass, is in flow.
  3. Game design is not black magic (anymore). In recent years a lot has become understood about how games work. They are built up out of game mechanics that each follow a pattern of action, simulation, feedback and modelling. Designing playful IAs means taking care that you encourage discovery, support exploration and provide feedback on mastery.

Get the the slides, and a list of sources for the talk in this earlier post.

Playful IAs — slides for my Euro IA Summit 2007 talk

After a considerable amount of fiddling with SlideShare I’ve finally managed to upload a version of the slides that go with my Playful IAs presentation. This more or less as I presented it at the Euro IA Summit 2007 and includes an approximate transcript of my talk. I hope to get an audio/video recording of most of it in the near future as well. When I do I’ll update this page.

Update: I’ve posted a short summary of the central argument of my talk.

Download a version including an approximate transcript (14,5 MB).

I had some great reactions to this talk and I want to thank all the people who engaged with me in discussions afterwards. It’s given me a good picture of what areas I should develop further in future subsequent talks. I’m also pleasantly surprised to see that contrary to what some people think, the IA community (the European one at least) is very much open to new ideas. That’s really nice to experience firsthand.

A lot of people asked for a list of books and other good sources on the topics I covered. Here’s an incomplete list of stuff I’ve used at some stage to inform my thinking:

If that doesn’t keep you busy for a while, you could always have a dig through my del.icio.us links. There’s plenty of good stuff there. Of course of if you ever find anything you think would be of interest to me, do let me know. Just tag it for:kaeru.

Game mechanics in web apps

A while ago there was a discussion on the IAI members list about game mechanics on web sites. Andrew Hinton pointed to the Google Image Labeler and LinkedIn‘s ‘profile completeness’ status bar and asked: “Can anyone else think of a use of a game mechanic like this to jump-start this kind of activity?” (Where “this kind of activity” is basically defined as something people wouldn’t normally do for its own sake, like say tagging images.)

I was thinking about this for a while the past week and seem to have ended up at the following:

Profile completeness status bar on LinkedIn

On LinkedIn, having a (more or less complete) profile presumably serves some extrinsic goal. I mean, by doing so you maybe hope you’ll land a new job more easily. By slapping a status bar onto the profile that gives feedback on its completeness, the assumption is that this will stimulate you to fill it out. In other words, LinkedIn seems unsure about the presence of extrinsic motivations and is introducing an intrinsic one: getting a 100% ‘complete’ profile and as such making a game (in a very loose sense of the term) out of its professional network service. A good idea? I’m not sure…

Screenshot of Google Image Labeler

On Google Image Labeler, the starting point for its design was to come up with a way to have people add meta-data to images. Google actually ‘bought’ the game (originally called The ESP Game) from CAPTCHA inventor Luis von Ahn, who before that did reCAPTCHA and after went on to create Peekaboom and Phetch. Anyway, in the case of the Image Labeler (contrary to LinkedIn) there was no real extrinsic goal to begin with so a game had to be created. Simply having fun is the only reason people have when labelling images.

Note that Flickr for instance has found other ways to get people to tag images. What happened there is (I think) a very nice way of aligning extrinsic goals with intrinsic (fun, game-like) ones.

‘Pure’ games by their very nature have only intrinsic goals, they are artificial and non-utilitarian. When you consider introducing game-like mechanics into your web site or application (which presumably serves some external purpose, like sharing photos) think carefully about the extrinsic motivations your users will have and come up with game-like intrinsic ones that reinforce these.

Update: Alper finished the LinkedIn profile completeness game and was disappointed to find there is no pot of gold at the end of the rainbow, mirroring the experience many players of real games have when finishing a game.