Oliver John

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We present automated, real-time models built with machine learning algorithms which use videotapes of subjects' faces in conjunction with physiological measurements to predict rated emotion (trained coders' second-by-second assessments of sadness or amusement). Input consisted of videotapes of 41 subjects watching emotionally-evocative films along with(More)
Two studies examined the interactive eVect of receptive verbal intelligence measured by the Pea-body Picture Vocabulary Test and self-regulatory competencies measured in the delay of gratiWca-tion paradigm on boys' aggression. Study 1 participants (N D 98) were middle school, low-income boys primarily ethnic minority. Participants for Study 2 (N D 59) were(More)
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