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automatically extracting social meaning from speed dates

january 28 2011 dan jurafsky discusses a system he and his colleagues created that can detect social intentions with above 70 accuracy he says that this system greatly outperforms humans and describes why humans are especially poor detectors of flirtatiousness and instead often project their own intended behavior onto their interlocutorsstanford university:http:wwwstanfordeduschool of engineering:http:soestanfordedustanford center for professional development:http:scpdstanfordedustanford university channel on youtube:http:wwwyoutubecomstanford
imaginary phone

imaginary phone allows users to control their mobile devices without taking it out of their pocket instead users mimic the interaction on the palm of their hand the interaction is tracked by a wearable depth camera which sends input events to the actual physical device by mimicking the layout of the physical device here an iphone users can operate the device based on spatial memory built up while using the physical devicemore info at http:wwwhpiuni-potsdamdebaudischprojectsimaginary_phonehtmlthe shown work is a research project by sean gustafson christian holz and prof patrick baudisch at the human computer interaction lab at hasso plattner institute potsdam germany