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04 - Adobe Ideas6334: Sentient Cities as Cybernetic, Real-time, Control Systems: Theory and Practice of Urban Sensing

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04 - Adobe Ideas6334: Sentient Cities as Cybernetic, Real-time, Control Systems: Theory and Practice of Urban Sensing

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audience members logging into their avatar

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04 - Adobe Ideas6334: Sentient Cities as Cybernetic, Real-time, Control Systems: Theory and Practice of Urban Sensing

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qrc code for adobe ideas

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04 - Adobe Ideas6334: Sentient Cities as Cybernetic, Real-time, Control Systems: Theory and Practice of Urban Sensing

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avatar rinteraction

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04 - Adobe Ideas6334: Sentient Cities as Cybernetic, Real-time, Control Systems: Theory and Practice of Urban Sensing

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audience participation with avatars

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04 - Adobe Ideas6334: Sentient Cities as Cybernetic, Real-time, Control Systems: Theory and Practice of Urban Sensing

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1. How was the data collected? by having each user log into the game interface2. Why was the data collected? to demonstrate interaction with a mass group of people through avatar simulation3. What is interesting about the data? The interaction between people who are controlling their personal interactions between others via a digital simulation4. What stories about urban dynamics can the collected data tell?

to see how people in a crowd may interact with each other when taken out of the context of the crowd, and placed in the context of a white field.5. What sort of questions about urban dynamics can be answered by looking at the data? there may be an inclination to engage or meet people on the white field, rather than interact with them while physically being in the same room6. Who is the target audience of the data visualization? any group of people within a particular space.7. What are the audience’s goals when approaching the visualization? to explore and interact the extents of the simulation8. What do they stand to learn? how to interact indirectly with people that are otherwise sitting 3-5 meters away from them.9. What sort of control are they offered over the interface that delivers the information? each person controls their own avatar 10. How is the question of the magnitude of the data dealt with limiting the collected data, limiting the dimensionsons in the data set to be represented, or abstractingthe data? the avatars and the density of the white field is based on the number of people within the room are interacting with the installation11. How does the original question to be addressed operate as the bench mark for eliminating unnecessary details in the data visualization? -12. How are the particular patterns highlighted through visualization techqniques in order of their importance? -13. Is the data of static or dynamic in nature?

dynamic14. If the data is dynamic in nature, what happens when it starts to change? how does the audience interact with this ‘live’ data? How is the data that changes overtime unraveled? each audience member controls their own avatar, and is able to interact with the other audience members - as new audience members join the white field, there is

an increase in particpants, trafffic, and eventual interactions.

queries