KOPS - The Institutional Repository of the University of Konstanz

BERT meets LIWC : Exploring State-of-the-Art Language Models for Predicting Communication Behavior in Couples’ Conflict Interactions

BERT meets LIWC : Exploring State-of-the-Art Language Models for Predicting Communication Behavior in Couples’ Conflict Interactions

Cite This

Files in this item

Checksum: MD5:72762a1e4d8ac2a0fbec75bda6df72f1

BIGGIOGERA, Jacopo, George BOATENG, Peter HILPERT, Matthew VOWELS, Guy BODENMANN, Mona NEYSARI, Fridtjof W. NUSSBECK, Tobias KOWATSCH, 2021. BERT meets LIWC : Exploring State-of-the-Art Language Models for Predicting Communication Behavior in Couples’ Conflict Interactions. ICMI '21 : 2021 International Conference on Multimodal Interaction. Montreal, QC, Canada, Oct 18, 2021 - Oct 22, 2021. In: HAMMAL, Zakia, ed., Carlo BUSSO, ed., Catherine PELACHAUD, ed. and others. ICMI '21 Companion : Companion Publication of the 2021 International Conference on Multimodal Interaction. New York, NY:ACM, pp. 385-389. ISBN 978-1-4503-8471-1. Available under: doi: 10.1145/3461615.3485423

@inproceedings{Biggiogera2021meets-57626, title={BERT meets LIWC : Exploring State-of-the-Art Language Models for Predicting Communication Behavior in Couples’ Conflict Interactions}, year={2021}, doi={10.1145/3461615.3485423}, isbn={978-1-4503-8471-1}, address={New York, NY}, publisher={ACM}, booktitle={ICMI '21 Companion : Companion Publication of the 2021 International Conference on Multimodal Interaction}, pages={385--389}, editor={Hammal, Zakia and Busso, Carlo and Pelachaud, Catherine}, author={Biggiogera, Jacopo and Boateng, George and Hilpert, Peter and Vowels, Matthew and Bodenmann, Guy and Neysari, Mona and Nussbeck, Fridtjof W. and Kowatsch, Tobias} }

<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/57626"> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/43"/> <dc:creator>Hilpert, Peter</dc:creator> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2022-05-23T12:21:35Z</dc:date> <dc:contributor>Boateng, George</dc:contributor> <dc:creator>Bodenmann, Guy</dc:creator> <dc:contributor>Vowels, Matthew</dc:contributor> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dc:rights>terms-of-use</dc:rights> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/43"/> <dc:contributor>Kowatsch, Tobias</dc:contributor> <dc:contributor>Neysari, Mona</dc:contributor> <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/> <dc:contributor>Bodenmann, Guy</dc:contributor> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/57626/1/Biggiogera_2-1cm66gqqceoqc0.pdf"/> <dc:creator>Vowels, Matthew</dc:creator> <dc:creator>Nussbeck, Fridtjof W.</dc:creator> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2022-05-23T12:21:35Z</dcterms:available> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/57626/1/Biggiogera_2-1cm66gqqceoqc0.pdf"/> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/57626"/> <dc:creator>Kowatsch, Tobias</dc:creator> <dc:creator>Boateng, George</dc:creator> <dc:language>eng</dc:language> <dcterms:abstract xml:lang="eng">Many processes in psychology are complex, such as dyadic interactions between two interacting partners (e.g., patient-therapist, intimate relationship partners). Nevertheless, many basic questions about interactions are difficult to investigate because dyadic processes can be within a person and between partners, they are based on multimodal aspects of behavior and unfold rapidly. Current analyses are mainly based on the behavioral coding method, whereby human coders annotate behavior based on a coding schema. But coding is labor-intensive, expensive, slow, focuses on few modalities, and produces sparse data which has forced the field to use average behaviors across entire interactions, thereby undermining the ability to study processes on a fine-grained scale. Current approaches in psychology use LIWC for analyzing couples’ interactions. However, advances in natural language processing such as BERT could enable the development of systems to potentially automate behavioral coding, which in turn could substantially improve psychological research. In this work, we train machine learning models to automatically predict positive and negative communication behavioral codes of 368 German-speaking Swiss couples during an 8-minute conflict interaction on a fine-grained scale (10-seconds sequences) using linguistic features and paralinguistic features derived with openSMILE. Our results show that both simpler TF-IDF features as well as more complex BERT features performed better than LIWC, and that adding paralinguistic features did not improve the performance. These results suggest it might be time to consider modern alternatives to LIWC, the de facto linguistic features in psychology, for prediction tasks in couples research. This work is a further step towards the automated coding of couples’ behavior which could enhance couple research and therapy, and be utilized for other dyadic interactions as well.</dcterms:abstract> <dc:creator>Biggiogera, Jacopo</dc:creator> <dcterms:title>BERT meets LIWC : Exploring State-of-the-Art Language Models for Predicting Communication Behavior in Couples’ Conflict Interactions</dcterms:title> <dc:contributor>Nussbeck, Fridtjof W.</dc:contributor> <dcterms:issued>2021</dcterms:issued> <dc:contributor>Biggiogera, Jacopo</dc:contributor> <dc:creator>Neysari, Mona</dc:creator> <dc:contributor>Hilpert, Peter</dc:contributor> </rdf:Description> </rdf:RDF>

Downloads since May 23, 2022 (Information about access statistics)

Biggiogera_2-1cm66gqqceoqc0.pdf 39

This item appears in the following Collection(s)

Search KOPS


Browse

My Account