Posted Friday, May 26th, 2006, at 10:43 am Eastern by Mark Wallace

Scalable City project at UC San Diego

CNet’s Dan Terdiman has a great story today on a project at the University of California at San Diego’s Center for Research in Computing and the Arts. The project, Scalable City, seeks to demonstrate the danger of treating human beings as data points, and reminds us that while there may be algorithmic ways to make things more efficient, that’s not the same as making things better.

. . . the multimedia system can rapidly take digital representations of barren landscapes and fill them in with gracefully curved roads and neighborhoods full of new houses. From a macro perspective represented by an aerial view, such designs present what appears to be an efficient maximization of available space [but] at a micro, or surface, level, computer systems can’t know, practically, what environments work for people. Thus, Scalable City demonstrates how an algorithm designed to maximize the development of a previously barren landscape could well result in individual streets so jammed with buildings that few could actually be habitable.

Computer systems can’t know what environments work for people. These will be important words to keep in mind as our tools grow more powerful. Already there’s new and better attention being paid to designing user-friendly interfaces and services, which is not as simple as it sounds. And we’re now starting to see a new set of software tools that design these interfaces and services for us. It sounds obvious, but I think it’s worth reminding developers that usability is something that can only be judged by the user. If we don’t manage to keep this in mind, the tools and services we cook up will be worse than useless, they’ll turn out to be counter-productive.


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