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Submitted by Gary Natriello on Thu, 2017-01-26 21:38

With our work in the Learning Theater just beginning to use data to configure the space, we might consider the case of Daybreaker, an early morning
cognitive dance party
that combines exercise and dancing to start the day. It uses IBM Watson to apply personal data to structure experiences and interactions for those attending. Check out some of the key features:

Brian Sweeting Says:
Fri, 2017-01-27 12:02

It is with slight hesitation that I admit I sometimes go to Daybreaker in NYC. The events here haven't incorporated Watson (yet), but the organizers are very thoughtful about curating exciting and personal experiences throughout the morning.

It'd be interesting to use trackers in the LT to analyze how elements of Daybreaker (personalized greetings, refreshment stations, stretching exercises, upbeat music, emcees, and responsive lights) affect participants' movement throughout the space and willingness to engage in activities and talk to strangers.

And I just have to say, people are much better dancers in New York. From what I can see in that video, San Francisco just does not have the same soul.


Soul Disco Daybreaker in NYC

Hui Soo Chae Says:
Sat, 2017-01-28 10:08

Brian, how many people attend these dance/exercise sessions in NYC? How big is the space?