A dyadic conversation dataset on moral emotions

Conference Contribution

Heron, Louise, Kim, Jaebok, Lee, M., El Haddad, Kevin, Dupont, Stephane, Dutoit, Thierry & Truong, Khiet (2018). A dyadic conversation dataset on moral emotions. 13th IEEE International Conference on Automatic Face and Gesture Recognition (pp. 687-691). Piscataway: Institute of Electrical and Electronics Engineers (IEEE). In Scopus Cited 0 times.

Read more: DOI      Medialink/Full text

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.