User Interface and First Steps Toward Meshups

When we originally conceptualized how we might begin to automatically incorporate collections data into Historypin, we imagined having the ability to peer into the past and be able to reach into various collections nearby to pull out relevant information.  Ultimately, this is still what we're working toward, but a number of complications prevent this from being feasible at the moment.  But it's worth sharing some of our mockups for how we saw this working.

[Fig 1] This mockup shows the existing experience of historical photos overlaid in Street View on the Historypin site.  We've added a "Dig Deeper" panel on the right which initiates a call to the Step change service based on the date and location.

[Fig 2] This mockup shows the results of the query to the Step change service, including  relevant AIM25 collections that may relate to the date and location referenced.

[Fig 3]  Selecting one of the collections would return information more information about the collection, including the location of the collection and a link to the collection webpage.

There are a number of reasons why this execution is not quite practical yet, though it may be feasible in a future project.  The primary complication here is the signal to noise ratio when in London, as so many of the collections within AIM25 are relevant to London, but the geographic specificity in the collection metadata is often not very detailed on the level of granularity that you get when in Street View.  If we ask for relevant collections within a 1 mile radius of a specific latitude and longitude for instance, we may get back 2-300 collections with little clue as to why this collection is relevant to this location. 

Another problem is what we've been calling the Needle In A Haystack problem, once you get away from London and into other parts of the world.  While the AIM25 collections are largely in Greater London (sorry if I'm getting my terminology wrong--I'm an American!), there are many collections that are relevant to other parts of the world.  Rory has done an amazing job parsing out locations from the collections metadata and using Geonames to resolve these locations.  So we can now see that a particular collection may have relevance to locations in China for instance, which is one of the locations  we've been testing with.  Here, our problem is that we've got just one or two collections and they are geotagged for a small town where someone lived.  So unless we set a really large bounding box, unless you happen to be in Street View in that town, you'd never learn about that collection, even though it has documents pertinent to many locations in China and Tibet.