Automatic Nonverbal Behavior Indicators of Depression and PTSD: Exploring Gender Differences

In this paper, we show that gender plays an important role in the automatic assessment of psychological conditions such as depression and post-traumatic stress disorder (PTSD). We identify a directly interpretable and intuitive set of predictive indicators, selected from three general categories of...

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Bibliographic Details
Published inInternational Conference on Affective Computing and Intelligent Interaction and workshops pp. 147 - 152
Main Authors Stratou, Giota, Scherer, Stefan, Gratch, Jonathan, Morency, Louis-Philippe
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2013
Subjects
automatic analysis of nonverbal behaviors
depression
Face
Feature extraction
gender differences
gender effect on nonverbal
iautomatic indicators
Interviews
Psychology
PTSD
Sociology
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ISSN2156-8103
DOI10.1109/ACII.2013.31

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Summary:In this paper, we show that gender plays an important role in the automatic assessment of psychological conditions such as depression and post-traumatic stress disorder (PTSD). We identify a directly interpretable and intuitive set of predictive indicators, selected from three general categories of nonverbal behaviors: affect, expression variability and motor variability. For the analysis, we introduce a semi-structured virtual human interview dataset which includes 53 video recorded interactions. Our experiments on automatic classification of psychological conditions show that a gender-dependent approach significantly improves the performance over a gender agnostic one.
ISSN:2156-8103
DOI:10.1109/ACII.2013.31