Monday, February 8, 2010

thesis: visual study #2 A…

So, without further ado, here is my first visual study. (It is #2, because it corresponds to my second sub-question, even though it is the first study I'm attempting.)

Some details:
This is housed within a browser as a standalone program (like Viewzi). I have been thinking about this as a system that allows the user to click, and drag and drop items and objects within the interface. This would be to enable the user to sort and clump information.

The interface has three different special modes: saved material, tagging & sharing, and filtering.

Thesis: Visual Study #2: Take one.... from Liese Zahabi on Vimeo.



Saved material mode:
  • Users can drag pages they want to save to this space, where the information and websites can be sorted by different criteria: time, hierarchy, tag relevance, etc.
  • Users can also drag results off the edge of the frame to throw away pages they don't want.
  • The system recognizes which pages are already saved and thrown away, so these don't show up in future searches.
  • This space serves to hold material and allow users to sort through it as needed.
  • The drawer can be pulled out further, giving the user a larger space to sort upon.
  • Information still "being considered" is pooled together in the bottom corner in a small blob, which can be fanned out as needed by clicking on it.

Tagging & sharing mode:
  • This functions as a way to apply tags on the fly (and to organize them).
  • The user can also view how other people have tagged information.
  • The results window displays which tags have been applied to the current search information.

Filtering mode:
  • This is meant to function in a very flexible way—the way in which people create associations for materials and truly categorize them can be quite unique. So this mode would be very robust and flexible.
  • Users can filter by: source type, category, time, popularity, etc. (This is just the beginning of the kinds of categories and filters that could be created/generated by both the system, other users, and the current user).
I will post an analysis of this study soon.

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