Identifying Individual Differences in Gender, Ethnicity, and Personality from Dialogue for Deception Detection
نویسندگان
چکیده
When automatically detecting deception, it is important to model individual differences across speakers. We explore the automatic identification of individual traits such as gender, native language, and personality, using acoustic-prosodic and lexical features from an initial non-deceptive dialogue. We also explore predicting success at deception and at deception detection, using the same features.
منابع مشابه
Individual Differences in Deception and Deception Detection
We are building a new corpus of deceptive and nondeceptive speech, using American English and Mandarin Chinese adult native speakers, to investigate individual and cultural differences in acoustic, prosodic, and lexical cues to deception. Here, we report on the role of personality factors using the NEO-FFI (Neuroticism-Extraversion-Openness Five Factor Inventory), gender, ethnicity and confiden...
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