A Dyadic Conversation Dataset on Moral Emotions

Louise Heron; Jaebok  Kim; Minha Lee; Kevin El Haddad; Stéphane Dupont; Thierry Dutoit; Khiet Phuong Truong

doi:10.1109/FG.2018.00108

A Dyadic Conversation Dataset on Moral Emotions

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

9 Citations (Scopus)

17 Downloads (Pure)

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 language	English
Title of host publication	2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)
Publisher	IEEE
Pages	687-691
Number of pages	5
ISBN (Electronic)	978-1-5386-2335-0
DOIs	https://doi.org/10.1109/FG.2018.00108
Publication status	Published - 5 Jun 2018
Event	13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018: First Workshop on Large-scale Emotion Recognition and Analysis - Xi'an, China Duration: 15 May 2018 → 19 May 2018 Conference number: 13 https://fg2018.cse.sc.edu/

Conference

Conference	13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018
Abbreviated title	FG 2018
Country/Territory	China
City	Xi'an
Period	15/05/18 → 19/05/18
Internet address	https://fg2018.cse.sc.edu/

Keywords

Moral emotion
Multi-modal analysis

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10.1109/FG.2018.00108Licence: Other

Cite this

@inproceedings{3bf490b143be4078ae33a09f874a262a,

title = "A Dyadic Conversation Dataset on Moral Emotions",

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.",

keywords = "Moral emotion, Multi-modal analysis",

author = "Louise Heron and Jaebok Kim and Minha Lee and {El Haddad}, Kevin and St{\'e}phane Dupont and Thierry Dutoit and Truong, {Khiet Phuong}",

year = "2018",

month = jun,

day = "5",

doi = "10.1109/FG.2018.00108",

language = "English",

pages = "687--691",

booktitle = "2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)",

publisher = "IEEE",

address = "United States",

note = "13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018 : First Workshop on Large-scale Emotion Recognition and Analysis, FG 2018 ; Conference date: 15-05-2018 Through 19-05-2018",

url = "https://fg2018.cse.sc.edu/",

}

Heron, L, Kim, J, Lee, M, El Haddad, K, Dupont, S, Dutoit, T & Truong, KP 2018, A Dyadic Conversation Dataset on Moral Emotions. in 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018). IEEE, pp. 687-691, 13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018, Xi'an, China, 15/05/18. https://doi.org/10.1109/FG.2018.00108

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AU - Heron, Louise

AU - Kim, Jaebok

AU - Lee, Minha

AU - El Haddad, Kevin

AU - Dupont, Stéphane

AU - Dutoit, Thierry

AU - Truong, Khiet Phuong

N1 - Conference code: 13

PY - 2018/6/5

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N2 - 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.

AB - 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.

KW - Moral emotion

KW - Multi-modal analysis

U2 - 10.1109/FG.2018.00108

DO - 10.1109/FG.2018.00108

M3 - Conference contribution

SP - 687

EP - 691

BT - 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)

PB - IEEE

T2 - 13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018

Y2 - 15 May 2018 through 19 May 2018

ER -

A Dyadic Conversation Dataset on Moral Emotions

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