Dr. Stefan Scherer, Playa Vista, California, USA

Lecture
                               V O R T R A G
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Oesterreichisches Forschungsinstitut fuer Artificial Intelligence(OFAI) der OSGK
Freyung 6/6, A-1010 Wien
Tel: +43-1-5336112-17,  Fax: +43-1-5336112-77, Email: sec@ofai.at

Dr. Stefan Scherer
USC Institute for Creative Technologies
Playa Vista, California, USA
http://ict.usc.edu/profile/stefan-scherer/

"AUTOMATIC AUDIOVISUAL BEHAVIOR DESCRIPTORS FOR PSYCHOLOGICAL DISORDER
ANALYSIS WITHIN VIRTUAL HUMAN INTERACTIONS"

We investigate the capabilities of automatic nonverbal behavior
analysis to identify indicators of psychological disorders such as
depression, anxiety, and post-traumatic stress disorder. We seek to
confirm and enrich present state of the art, predominantly based on
qualitative manual annotations, with automatic quantitative behavior
descriptors. We propose nonverbal behavior descriptors that can be
automatically estimated from audiovisual signals, including facial
expressions, gestures, and acoustic characteristics.


We introduce a new dataset called the Distress Assessment Interview Corpus
(DAIC) which comprises 100+ interactions between a virtual human designed
for psychological screening and a participant. Our evaluation on this
dataset shows correlation of automatic behavior descriptors with specific
psychological disorders as well as a generic distress measure. We
investigate the capability of automatic algorithms to classify distressed
behaviors in speaker-independent experiments. Additionally, we examine the
impact of the posed questions' affective polarity, as motivated by
findings in the literature on positive stimulus attenuation and negative
stimulus potentiation in emotional reactivity of psychologically
distressed participants.

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Time: Tuesday, 16th July 2013, 6.30 p.m. sharp

Location:  Oesterreichisches Forschungsinstitut
fuer Artificial Intelligence, OFAI
Freyung 6, Stiege 6, 1010 Wien


OESTERREICHISCHES FORSCHUNGSINSTITUT
FUER ARTIFICIAL INTELLIGENCE

Univ.-Prof. Ing. Dr. Robert Trappl

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