2026-07-21T17:21:06Zhttps://www.radar-service.eu/oai/OAIHandler10.48606/nf7gwyrr2pe9nmq62026-04-24T07:42:23Z
10.48606/nf7gwyrr2pe9nmq6
Putra, Prasetia
Prasetia
Putra
0000-0002-7632-375X
University of Konstanz
Köchling, Johanna
Johanna
Köchling
0000-0003-1842-797X
University of Konstanz
Straßheim, Jana
Jana
Straßheim
0009-0002-5393-7182
University of Konstanz
Bousquet, Christophe
Christophe
Bousquet
0000-0003-1650-8004
University of Konstanz
Renner, Britta
Britta
Renner
0000-0001-8385-2839
University of Konstanz
Schupp, Harald
Harald
Schupp
0000-0002-1725-9129
University of Konstanz
Classification of Natural Conversations by Humans and Machine Learning Based on Facial Actions
University of Konstanz
2021-2025
2026
Psychology
Computer Science
Facial Action Units
Conversation
Machine Learning
Open Access
Creative Commons Attribution 4.0 International
Harald Schupp
0000-0002-1725-9129
Britta Renner
0000-0001-8385-2839
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.
This repository contains (1) the maschine learning dataset with individuals' facial action units and code to classify group discussion topics as a Python script with instructions and (2) Human rating data for third-person, video-based classification and analysis code as an R-script.
The present data was collected as part of the Collective Appetite Project in the Cluster for the Advanced Study of Collective Behavior at the University of Konstanz. It belongs to the article cited under related identifiers.
en
10.1038/s41598-025-30403-9
Deutsche Forschungsgemeinschaft
https://ror.org/018mejw64
EXC 2117-422037984
Cluster for the Advanced Study of Collective Behavior
application/x-tar