Friday, February 20, 2015
Setup Microsoft Kinect on Mac OS X 10.9 (Mavericks)
Monday, February 16, 2015
Worrisome message from the world of big data and recommendation systems.
Tapster - Similar Product Template: In this demo, we will show you how to build a Tinder-style web application recommending comics to users based on their likes/dislikes of episodes interactively.
I have just come across this tutorial
Personally I think it is only the process of accurately visualising this kind of information that will allow people to see what errors than making
I have just come across this tutorial
http://docs.prediction.io/demo/tapster/
"In this demo, we will show you how to build a Tinder-style web application recommending comics to users based on their likes/dislikes of episodes interactively.”
I think what really got my attention was that at no point do we actually see any visualisation is going on. No attempt was made to try and demystify what the system was doing. This is as close as you can get to software as magic. What worries me is is this representative of the general process of big data processing? Okay with a recommenders system the worst it can do is make stupid suggestions but as a general process how do people spot that they're not making big mistakes?
Monday, February 9, 2015
Papered out.
I have just succeeded in submitting for papers to the next space syntax conference. I feel like a party balloon from which all the air has been let out. Dimitri has also got his poster in.
Feeling pretty good but worn out.
Feeling pretty good but worn out.
Saturday, February 7, 2015
Quite a cool social network paper on the power of weak links
People linking disparate groups together (aka Structural Holes aka weak links aka High choice links) produce better ideas.
This article outlines the mechanism by which brokerage provides
social capital. Opinion and behavior are more homogeneous within
than between groups, so people connected across groups are more
familiar with alternative ways of thinking and behaving. Brokerage
across the structural holes between groups provides a vision of options otherwise unseen, which is the mechanism by which brokerage
becomes social capital. I review evidence consistent with the hypothesis, then look at the networks around managers in a large
American electronics company. The organization is rife with structural holes, andbrokerage has its expected correlates. Compensation,
positive performance evaluations, promotions, and good ideas are
disproportionately in the hands of people whose networks span
structural holes. The between-group brokers are more likely to express ideas, less likely to have ideas dismissed, and more likely to
have ideas evaluated as valuable. I close with implications for creativity and structural change.
social capital. Opinion and behavior are more homogeneous within
than between groups, so people connected across groups are more
familiar with alternative ways of thinking and behaving. Brokerage
across the structural holes between groups provides a vision of options otherwise unseen, which is the mechanism by which brokerage
becomes social capital. I review evidence consistent with the hypothesis, then look at the networks around managers in a large
American electronics company. The organization is rife with structural holes, and
positive performance evaluations, promotions, and good ideas are
disproportionately in the hands of people whose networks span
structural holes. The between-group brokers are more likely to express ideas, less likely to have ideas dismissed, and more likely to
have ideas evaluated as valuable. I close with implications for creativity and structural change.
Monday, February 2, 2015
Living Drones [31c3]
C3 is Chaos computing club - quite cool. The notion of living drone is quite cool. I wonder how this relates to the kinds of living avatars
Shell
I'm very busy with papers and book not to mention new HCI course but this is something I'm working on.
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