Dear PICANICO friend,

Click the like or dis-like button depending you like or dis-like the architecture project you see. If you are not sure, click the go button to continue to next image. Continue to like or dis-like the projects until you are curious to find your PICANICO prediction. Click my taste button to find out what PICANICO guesses you like so far. If you are happy with the result, please press the excellent button. If you are not satisfied with the result, click contribution now button to help PICANICO improve. Please go back to the game and play it more. Thank you for participating in this experiment.

Yours,

PICANICO team

about

Have a nice weekend!

PICANICO ABOUT ::

PICANICO predicts your architectural taste by associating images of architecture projects to each other according to your preferences.

PICANICO has grown out of the dissertation research of Zenovia Toloudi on architectural identity and taste culture at Harvard Graduate School of Design. PICANICO project started with a machine learning experiment built for Linux environment at 2008 until its recent web-based game version at www.picanico.org that was launched at October 2010. PICANICO algorithm and website has been developed by Zenovia Toloudi and George Toloudis [gtroza].

PICANICO gradually "learns" user preferences by classifying their choices in a database of images of buildings. Each image/building is described as a vector of attributes. The vector representation is essentially the brand DNA of the building, since these attributes express the characteristics that users prefer most. PICANICO guesses the architectural taste of the user by proposing similar images based on positive samples ranked by the user. Through this process, PICANICO can offer statistical data for architecture forms and styles as these are linked to personal tastes of the users. Results of PICANICO can be seen in PICANICO blog.

PICANICO etymology: pick + an + icon.

picanico.game [at] gmail [dot] com

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