
Here is LUCI’s first foray into “real” video podcasting.
This is our Friday Informatics talk, entitled “Nomatic: Location by, for and of crowds.” The talk was given by Don Patterson ( who retains copyright over the material and has given us permission to reproduce it here) on 1/20/2006 at 3pm.
Abstract:
In this talk I’ll be presenting recent research advances in
localization from the perspective of crowds. Crowds seem to offer
interesting new computing paradigms that arise as a result of many
people simultaneously localizing themselves. To justify this research
agenda, I’ll first present a strategy for motivating crowds to share
context information, one portion of which is location, through the use
of a context-aware instant messenger client called Nomatic*Gaim. Then
I’ll present the results of a small pilot study evaluating automatic
privacy mechanisms which give people control over their context
disclosure. Next I’ll show an analysis of some preliminary data from an
early deployment and finally I’ll show how leveraging these
mass-collaborations helps to improve Nomatic*Gaim by allowing it to
infer position to place mappings.
The raw video can be obtained here. The slides are available here. If everything were as it should be these two items would be seamlessly integrated into a beautiful production. As it is our first shot at this, bear with the technology.
Nomatic: Location by, for and of crowds
Here is LUCI’s first foray into “real” video podcasting.
This is our Friday Informatics talk, entitled “Nomatic: Location by, for and of crowds.” The talk was given by Don Patterson ( who retains copyright over the material and has given us permission to reproduce it here) on 1/20/2006 at 3pm.
Abstract:
In this talk I’ll be presenting recent research advances in
localization from the perspective of crowds. Crowds seem to offer
interesting new computing paradigms that arise as a result of many
people simultaneously localizing themselves. To justify this research
agenda, I’ll first present a strategy for motivating crowds to share
context information, one portion of which is location, through the use
of a context-aware instant messenger client called Nomatic*Gaim. Then
I’ll present the results of a small pilot study evaluating automatic
privacy mechanisms which give people control over their context
disclosure. Next I’ll show an analysis of some preliminary data from an
early deployment and finally I’ll show how leveraging these
mass-collaborations helps to improve Nomatic*Gaim by allowing it to
infer position to place mappings.
The raw video can be obtained here. The slides are available here. If everything were as it should be these two items would be seamlessly integrated into a beautiful production. As it is our first shot at this, bear with the technology.
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