A dyadic conversation dataset on moral emotions

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018
PublisherIEEE
Pages687-691
Number of pages5
ISBN (Electronic)9781538623350
DOIs
Publication statusPublished - 5 Jun 2018
Event13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018 - Xi'an, China
Duration: 15 May 201819 May 2018

Conference

Conference13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018
CountryChina
CityXi'an
Period15/05/1819/05/18

Keywords

  • Affective computing
  • Dataset
  • Dyadic interaction
  • Moral emotions
  • Multimodal data
  • Non-verbal expressions

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Control and Optimization

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