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Differences between models and in relation to participant factors will be tested using the general linear model. Abstract A reliable and valid automated system for quantifying human affective behavior in ecologically important naturalistic environments would be a transformational tool for research and clinical practice. To ensure generalizability, we further will train and test between independent databases as well.
The models will be trained in three separate databases of dyadic and triadic interaction tasks from over adolescent and adult participants from the US and Australia. Relevance For behavioral science, automated coding of affective behavior from multimodal visual, acoustic, and verbal input will provide researchers with powerful tools to examine basic questions in emotion, psychopathology, and interpersonal processes. In the proposed project, we extend current capabilities in automated multimodal measurement of affective behavior visual, acoustic, and verbal to develop and validate an automated system for detecting the constructs of Positive, Aggressive, and Dysphoric behavior and component lower-level affective behaviors and verbal content.
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