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  The CABB dataset: A multimodal corpus of communicative interactions for behavioural and neural analyses

Eijk, L., Rasenberg, M., Arnese, F., Blokpoel, M., Dingemanse, M., Doeller, C. F., et al. (2022). The CABB dataset: A multimodal corpus of communicative interactions for behavioural and neural analyses. NeuroImage, 264: 119734. doi:10.1016/j.neuroimage.2022.119734.

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Eijk_etal_2022_CABB dataset.pdf (Publisher version), 4MB
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This is an open access article distributed under the terms of the Creative Commons CC-BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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 Creators:
Eijk, Lotte1, 2, Author           
Rasenberg, Marlou1, 2, 3, Author           
Arnese, Flavia4, Author
Blokpoel, Mark4, Author
Dingemanse, Mark1, Author
Doeller, Christian F.5, 6, Author
Ernestus, Mirjam1, Author
Holler, Judith4, 7, 8, Author           
Milivojevic, Branka4, Author
Ozyurek, Asli1, 3, 4, Author           
Pouw, Wim4, 8, Author           
Van Rooij, Iris4, 9, Author
Schriefers, Herbert4, Author
Toni, Ivan4, Author
Trujillo, James P.4, 7, 8, Author           
Bögels, Sara4, 10, Author           
Affiliations:
1Center for Language Studies, External Organizations, ou_55238              
2International Max Planck Research School for Language Sciences, MPI for Psycholinguistics, Max Planck Society, ou_1119545              
3Multimodal Language Department, MPI for Psycholinguistics, Max Planck Society, ou_3398547              
4Donders Institute for Brain, Cognition and Behaviour, External Organizations, ou_55236              
5Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, ou_persistent22              
6Norwegian University of Science and Technology, Trondheim, Norway, ou_persistent22              
7Communication in Social Interaction, Radboud University Nijmegen, External Organizations, ou_3055481              
8Other Research, MPI for Psycholinguistics, Max Planck Society, Nijmegen, NL, ou_55217              
9Leipzig University, Leipzig, Germany, ou_persistent22              
10Tilburg University, Tilburg, The Netherlands, ou_persistent22              

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 Abstract: We present a dataset of behavioural and fMRI observations acquired in the context of humans involved in multimodal referential communication. The dataset contains audio/video and motion-tracking recordings of face-to-face, task-based communicative interactions in Dutch, as well as behavioural and neural correlates of participants’ representations of dialogue referents. Seventy-one pairs of unacquainted participants performed two interleaved interactional tasks in which they described and located 16 novel geometrical objects (i.e., Fribbles) yielding spontaneous interactions of about one hour. We share high-quality video (from three cameras), audio (from head-mounted microphones), and motion-tracking (Kinect) data, as well as speech transcripts of the interactions. Before and after engaging in the face-to-face communicative interactions, participants’ individual representations of the 16 Fribbles were estimated. Behaviourally, participants provided a written description (one to three words) for each Fribble and positioned them along 29 independent conceptual dimensions (e.g., rounded, human, audible). Neurally, fMRI signal evoked by each Fribble was measured during a one-back working-memory task. To enable functional hyperalignment across participants, the dataset also includes fMRI measurements obtained during visual presentation of eight animated movies (35 minutes total). We present analyses for the various types of data demonstrating their quality and consistency with earlier research. Besides high-resolution multimodal interactional data, this dataset includes different correlates of communicative referents, obtained before and after face-to-face dialogue, allowing for novel investigations into the relation between communicative behaviours and the representational space shared by communicators. This unique combination of data can be used for research in neuroscience, psychology, linguistics, and beyond.

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Language(s): eng - English
 Dates: 20222022-11-13
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.neuroimage.2022.119734
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Title: NeuroImage
Source Genre: Journal
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Pages: - Volume / Issue: 264 Sequence Number: 119734 Start / End Page: - Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166