Draft Scenario
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We developed this scenario in the last few days of the residency. It's a very broad brushstroke representation of what we see the user doing in this environment.

 

 
1.
Topological Overview You begin with an overall view of the entire conversation space, be it live chat, mailing list, or email. Different sorts of conversations are represented by different patterns. You explore the map with your mouse. Information about the different conversations pop-up as you move over the patterns.


the topology of the entire conversation as represented by animal patters

 

2.
Diving Into the Map If you hover in place for very long, the system interprets this as a sign of interest and takes you down into the conversation you were over. The 2D map takes on a third dimension as you dive into it.


diving into the map over the cow pattern

 

3.
Personal Disks Individual users are represnted in the space by personal disks. The disks begins forming on the first interaction with the space, with the inner ring taking on the pattern of the first conversation entered into by the user. Subsequent interactions with other participants in particular conversations causes additional rings to accrete to the disk. The growth of this disk creates a singular visual identity for the user in the space.


a personal disk with several rings of growth

 

4.

Connecting the Posts...

Users, represented by their disks, are connected to other participants via 2 mechanism

  • self-connection
    when a user creates a post, she can choose to explicitely link it to other posts
  • system analysis
    the system performs its own conversational analysis and creates connections on its own
 

5.

...And Creating Animal Patters Translating the patterns made by the posts and their interconnections into animal-like patterns


a pattern generated with M. Walters' software for emulating the growth of animal patterns

 

7. Architecture
  • Analysis
    Conversational analysis software monitors the communication, providing information as to both qualitative and quantitative aspects.
  • Visual Interpretation
    The information provided by the CA software gets translated into meaningual visuals - preferably meaningful visuals that look something like animal patters
  • Data Flow
    A standard client-server model with a fairly thick client will support this architecture.


a system diagram