Paper: It’s Not You it’s Me: Detecting Flirting and its Misperception in Speed-Dates

ACL ID D09-1035
Title It’s Not You it’s Me: Detecting Flirting and its Misperception in Speed-Dates
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2009
Authors

Automatically detecting human social in- tentions from spoken conversation is an important task for dialogue understand- ing. 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, significantly outperforming the baseline, but also outperforming the human inter- locuters. Our system addresses lexical fea- ture ...