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ZENODO
Dataset . 2022
Data sources: Datacite
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ZENODO
Dataset . 2022
Data sources: ZENODO
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ZENODO
Dataset . 2022
Data sources: Datacite
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Digital Commensality data-set

Authors: Ceccaldi, Eleonora; Niewiadomski, Radoslaw; Mancini, Maurizio; De Lucia, Gabriele; Volpe, Gualtiero;

Digital Commensality data-set

Abstract

The Digital Commensality Data-set consists of facial activity data of 11 pairs of persons sharing a meal online through a videoconferencing software and self-reported qualitative and qualitative measures of their commensal experience (Computer-Mediated Communication questionnaire and Digital Commensality questionnaire). Facial activity data is extracted using the OpenFace tool. If you use this data-set for the uses allowed in the license, e.g., research purposes, please add the following citation: Ceccaldi, E., Niewiadomski, R., Mancini, M., & Volpe, G. (2022). What's on your plate? Collecting multimodal data to understand commensal behavior. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.911000

Non-anonymous data (e.g., video, audio, annotation) was excluded from this dataset to be compliant with privacy requirements. For more information, contact the data-set authors: eleonoraceccaldi@gmail.com r.niewiadomski@unitn.it m.mancini@di.uniroma1.it

{"references": ["Ceccaldi, E., Niewiadomski, R., Mancini, M., & Volpe, G. (2022). What's on your plate? Collecting multimodal data to understand commensal behavior. Frontiers in Psychology, 13"]}

Keywords

hci, social interaction, activity recognition, commensality, computational commensality, eating, facial expression

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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