If an apple is magnified to the size of the earth, then the atoms in the apple are approximately the size of the original apple
Automatically detecting human social intentions from spoken conversation is an important task for dialogue understanding. Since the social intentions of the speaker may differ from what is perceived by the hearer, systems that analyze human conversations need to be able to extract both the perceived and the intended social meaning.
We investigate this difference between intention and perception by using a spoken corpus of speed-dates in which both the speaker and the listener rated the speaker on flirtatiousness.
Our flirtation- detection system uses prosodic, dialogue, and lexical features to detect a speaker’s intent to flirt with up to 71.5% accuracy.
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