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Validation and application of the Non-Verbal Behavior Analyzer

An automated tool to assess non-verbal emotional expressions in psychotherapy

Bibliographic Data

ID15528548
AuthorsPatrick Terhürne (Universität Trier, corresponding author), Brian Schwartz (0000-0003-4695-4953, Universität Trier), Tobias Baur (0000-0002-2797-605X, University of Augsburg), Dominik Schiller (0000-0001-7364-5772, Intel (Germany)), Steffen T Eberhardt (0000-0002-9900-4671, Universität Trier), Emma André (0000-0002-2367-162X, University of Augsburg), Elisabeth André, Wolfgang Lutz (0000-0001-7975-8145, Universität Trier)
Year2022
Volume13
Pages1026015-1026015
Publication date2022-10-28
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2022.1026015
PMID36386975
OpenAlexW4307705033
LanguageEN
Citations received1
References cited67

This study shows that emotion recognition with NOVA can be used to generate ERMs associated with patient emotions, affective experiences and symptoms. Nevertheless, limitations were obvious. It seems necessary to improve the ERMs using larger databases of sessions and the validity of ERMs needs to be further investigated in different samples and different applications. Furthermore, future research should take ERMs to identify emotional synchrony between patient and therapists into account

Anger · Anxiety · Arousal · Psychiatry · Sadness · Shame · Valence (chemistry · Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes · Clinical Psychology · Emotion and Mood Recognition · Mental Health Research Topics · Psychology

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Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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