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It’s Not You, it’s Me: Detecting Flirting and its Misperception in Speed-Dates
"Our flirtation-detection system uses prosodic, dialogue, and lexical features to detect a speaker’s intent to flirt with up to 71.5% accuracy, significantly outperforming the baseline, but also outperforming the human interlocuters. [...] Our analysis shows that humans are very poor perceivers of intended flirtatiousness, instead often projecting their own intended behavior onto their interlocutors."
love  language  relationships  men  women  sex  pdf  attention  dating  science  thinking  data  information  filetype:pdf  media:document 
october 2009 by allaboutgeorge

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