Datensatz:

Classification of Natural Conversations by Humans and Machine Learning Based on Facial Actions

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Datum der Erstveröffentlichung

2026

Autor:innen

Andere Beitragende

Repositorium der Erstveröffentlichung

KonDATA

Version des Datensatzes

DOI (Link zu den Daten)
https://doi.org/10.48606/nf7gwyrr2pe9nmq6
Link zur Lizenz

CC BY 4.0

Angaben zur Forschungsförderung

Deutsche Forschungsgemeinschaft (DFG): EXC 2117-422037984

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Sammlungen

Psychologie: Datensätze
Exzellenzcluster "Centre for the Advanced Study of Collective Behaviour": Datensätze
Core Facility der Universität Konstanz
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Titel in einer weiteren Sprache

Publikationsstatus
Published

Zusammenfassung

Between May 2021 and March 2022, video data from 84 participants in 28 groups was collected (the exact description of this data can be found in the article cited uder related identifiers). For the present analysis, facial action units were extracted from the videos and used for a machine learning based classification of conversation topic. Additionally, the videos were rated by 19 individuals, between May and June 2023.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
150 Psychologie

Schlagwörter

Psychology, FOS: Psychology, Computer Science, Facial Action Units, Conversation, Machine Learning

Zugehörige Publikationen in KOPS

Vorschaubild
Publikation
Zeitschriftenartikel
Social context shapes facial dynamics : human and machine decoding of conversation topics
(2026) Putra, Prasetia; Köchling, Johanna; Straßheim, Jana; Bousquet, Christophe; Renner, Britta; Schupp, Harald T.
Erschienen in: Scientific Reports. Springer. 2026, 16(1), 3059. eISSN 2045-2322. Verfügbar unter: doi: 10.1038/s41598-025-30403-9
Link zu zugehöriger Publikation
Link zu zugehörigem Datensatz

Zitieren

ISO 690PUTRA, Prasetia, Johanna KÖCHLING, Jana STRASSHEIM, Christophe BOUSQUET, Britta RENNER, Harald T. SCHUPP, 2026. Classification of Natural Conversations by Humans and Machine Learning Based on Facial Actions
BibTex
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