LexIrie is an ambient object which can display and react upon text from a selection of sources including Twitter, Facebook, and We Feel Fine. It has been featured on Hack a Day and Semageek.
When used with Twitter, LexIrie pulls in text from a search of Twitter for the term “I feel” (it is also configurable to search for any other terms) and then displays the search result that comes back. The results are whatever is returned from that real time search. What you see can be happy, sad, funny or incomprehensible. LexIrie then searches the returned results for key terms (like good, bad, and sorry) and then changes its light output to reflect the mood of what’s being displayed.
LexIrie is designed to operate without a connection to a computer which enables placement in many locations. Once configured it requires only an ethernet cable and a power source.
LexIrie is inspired by the installation Listening Post by Mark Hansen and Ben Rubin. It was originally designed to be powered by the site We Feel Fineby Jonathan Harris and Sep Kamvar. The hardware it runs on is based on the Arduino electronics platform. A year after LexIrie was launched a similar (but not associated) product, the all-knowing Twitter orb, was demoed by Mark Frauenfelder on the Colbert Report.
When LexIrie is configured for use with Twitter updates occur every minute and it can be tuned to a faster or slower rate of updates. Used with We Feel Fine updates happen about once every five minutes. When used with Facebook it checks every five minutes for any new notifications.
The sites it accesses, the searches it does and the response to keywords found in the text can be configured for different use cases. For example, one could program it to display real time Twitter searches other keywords like ‘food’ or for certain hashtags and then pulse a color when a keyword is found in the results. More information on the design of LexIrie and configuration options can be found in the design section.
Contact:
email:
jason [at] intelligenate.com
twitter:
@JVeneman
I support the Open Source Hardware Definition v1.0
LexIrie
LexIrie is an ambient object which can display and react upon text from a selection of sources including Twitter, Facebook, and We Feel Fine. It has been featured on Hack a Day and Semageek.
When used with Twitter, LexIrie pulls in text from a search of Twitter for the term “I feel” (it is also configurable to search for any other terms) and then displays the search result that comes back. The results are whatever is returned from that real time search. What you see can be happy, sad, funny or incomprehensible. LexIrie then searches the returned results for key terms (like good, bad, and sorry) and then changes its light output to reflect the mood of what’s being displayed.
LexIrie is designed to operate without a connection to a computer which enables placement in many locations. Once configured it requires only an ethernet cable and a power source.
LexIrie is inspired by the installation Listening Post by Mark Hansen and Ben Rubin. It was originally designed to be powered by the site We Feel Fine by Jonathan Harris and Sep Kamvar. The hardware it runs on is based on the Arduino electronics platform. A year after LexIrie was launched a similar (but not associated) product, the all-knowing Twitter orb, was demoed by Mark Frauenfelder on the Colbert Report.
When LexIrie is configured for use with Twitter updates occur every minute and it can be tuned to a faster or slower rate of updates. Used with We Feel Fine updates happen about once every five minutes. When used with Facebook it checks every five minutes for any new notifications.
The sites it accesses, the searches it does and the response to keywords found in the text can be configured for different use cases. For example, one could program it to display real time Twitter searches other keywords like ‘food’ or for certain hashtags and then pulse a color when a keyword is found in the results. More information on the design of LexIrie and configuration options can be found in the design section.