A dyadic conversation dataset on moral emotions

Louise Heron, Jaebok Kim, M. Lee, Kevin El Haddad, Stephane Dupont, Thierry Dutoit, Khiet Truong

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

2 Citaten (Scopus)
120 Downloads (Pure)

Samenvatting

In this paper, we present a dyadic conversation dataset involving topics related to moral emotions which are ethically relevant. To the best of our knowledge, it is the first dataset where the main focus is moral emotions. This dataset also focuses on speaker-listener reactions during a dyadic conversation. Although some of the currently available datasets contain dyadic conversations, they were not conceived with the idea of focusing on the speaker-listener setup. Thus making it difficult to use them to study reactions related to speakers and listeners. Some preliminary analyses of the data are presented as well as our thoughts on future work related to this dataset.
Originele taal-2Engels
Titel13th IEEE International Conference on Automatic Face and Gesture Recognition
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's687-691
Aantal pagina's5
ISBN van elektronische versie978-1-5386-2335-0
ISBN van geprinte versie978-1-5386-2336-7
DOI's
StatusGepubliceerd - 5 jun 2018
Evenement13th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2018) - Xi'an, China
Duur: 15 mei 201819 mei 2018
Congresnummer: 13
https://fg2018.cse.sc.edu

Congres

Congres13th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2018)
Verkorte titelFG 2018
LandChina
StadXi'an
Periode15/05/1819/05/18
Internet adres

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  • Citeer dit

    Heron, L., Kim, J., Lee, M., El Haddad, K., Dupont, S., Dutoit, T., & Truong, K. (2018). A dyadic conversation dataset on moral emotions. In 13th IEEE International Conference on Automatic Face and Gesture Recognition (blz. 687-691). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/FG.2018.00108