Tangram O-Cam Experiment Annotations and Analyses

DOI

This dataset contains (1) annotations (encodings) of the video recordings of 14 participants that participated in an o-cam experiment (and the stimulus), as reported in: Brugel, M. (2014).Het effect van de eye gaze en lach van de spreker op het uitlokken van feedback bij deontvanger. Master’s thesis, Tilburg University. The encodings include Backchannel Opportunity Point annotations (BOPs), head movement and facial expression annotations (facereader encodings), and vocal annotations (ELAN encodings). and (2) the scripts to get the annotations into the R environment and analyse the annotations as reported in Blomsma, P., Vaitonyte, J., Skantze, G., and Swerts, M. (2022). Variability between and within addressees in how they produce audiovisual backchannels. [Manuscript submitted for publication]

Method: Manual and automated annotations (resp. with ELAN and Facereader). Universe: The 14 participants in the O-cam paradigm are Tilburg University Students.

Identifier
DOI https://doi.org/10.34894/SXEFGV
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/SXEFGV
Provenance
Creator Swerts, Marc (ORCID: 0000-0002-4367-641X); Blomsma, Peter ORCID logo
Publisher DataverseNL
Contributor Swerts, Marc; Blomsma, Peter; DataverseNL
Publication Year 2022
Rights This work is licensed under a CC BY-NC-ND license. For more information see https://creativecommons.org/licenses/by-nc-nd/4.0/. This data can be used for research proposes with citation of the authors. Package can be downloaded and shared as long as any follow-up publications cite this research. Data cannot be modified or used commercially.; info:eu-repo/semantics/openAccess
OpenAccess true
Contact Swerts, Marc (Tilburg University, Tilburg School of Humanities and Digital Sciences, Department of Communication and Cognition); Blomsma, Peter (Tilburg University, Tilburg School of Humanities and Digital Sciences, Department of Communication and Cognition)
Representation
Resource Type Annotated corpora; Dataset
Format application/octet-stream; text/plain; type/x-r-syntax; application/pdf; text/csv; application/x-rlang-transport
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Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Humanities; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences