Pivot is a tool for browsing large collections of data, such as Wikipedia, and really shows the value of a good API and semantic data.
It contains a filtering system on the left to help you dig into and out of the data, combined with a smooth zoom interface as we’ve seen implemented before in Seadragon and Photosynth and some very familiar browser elements such as tabs, most visited history on your homepage and bookmarking. It offers a very visual way of interacting with large data catalogues, such as movie databases or games catalogues, through film posters and game covers, something that I really love.
You can see Gary Flake demonstrating Pivot at the TED conference in Feburary here:
The interface is lovely and it does open up new ways of interacting with these large data sets, but there does seem like some work has been done to prepare the data for use in Pivot, to make it more visual, such as the very way the different endangered species are shown, or the Wikipedia categories are visualised. This isn’t a bad thing, but it does mean if the data isn’t already visual as with films or games then there is an interesting piece of design work to be done to take full advantage of this browser. I’d love IMDB to get an API as this would be an amazing way to navigate their site.
While I instantly enjoy the visual navigation style, this is still far from replacing my usual browser, because while it allows me to interrogate the data in new ways, I am not sure I would use this new way of examining data for the current sets available, after all I tend to dip into these data heavy sites only when I have a specific query on something, where searching is much more appropriate than browsing. While I do think that the way we search and find data will change dramatically I think this sort of interface could really come into it’s own on the sites I tend to browse, such as Amazon or Facebook and I think it could offer a really interesting dimension to Twitter.