Name
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. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/FG.2018.00108 | PROCEEDINGS 2018 13TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE & GESTURE RECOGNITION (FG 2018) |
Keywords | Field | DocType |
Moral emotions, Dataset, Dyadic interaction, Nonverbal expressions, Multimodal data, Affective computing | Conversation,Cognitive psychology,Psychology,Affective computing,Dyadic interaction | Conference |
ISSN | Citations | PageRank |
2326-5396 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Louise Heron | 1 | 0 | 0.34 |
| Jae-Bok Kim | 2 | 30 | 4.43 |
| Minha Lee | 3 | 3 | 5.80 |
| kevin el haddad | 4 | 34 | 9.01 |
| Stéphane Dupont | 5 | 134 | 26.78 |
| Thierry Dutoit | 6 | 1006 | 123.84 |
| Khiet P. Truong | 7 | 302 | 32.64 |