A dyadic conversation dataset on moral emotions

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

doi:10.1109/FG.2018.00108

A dyadic conversation dataset on moral emotions

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

Human Technology Interaction

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

7 Citations (Scopus)

404 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	13th IEEE International Conference on Automatic Face and Gesture Recognition
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	687-691
Number of pages	5
ISBN (Electronic)	978-1-5386-2335-0
ISBN (Print)	978-1-5386-2336-7
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) - 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 emotions
Affective computing
Dyadic interaction
Nonverbal expressions
Multimodal data
Non-verbal expressions
Dataset

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10.1109/FG.2018.00108

moralemotions_dataset

Cite this

@inproceedings{e365f054f3154941895e0bd0177f0dbd,

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 emotions, Affective computing, Dyadic interaction, Nonverbal expressions, Multimodal data, Non-verbal expressions, Dataset",

author = "Louise Heron and Jaebok Kim and M. Lee and {El Haddad}, Kevin and Stephane Dupont and Thierry Dutoit and Khiet Truong",

year = "2018",

month = jun,

day = "5",

doi = "10.1109/FG.2018.00108",

language = "English",

isbn = "978-1-5386-2336-7 ",

pages = "687--691",

booktitle = "13th IEEE International Conference on Automatic Face and Gesture Recognition",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "13th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2018) , 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, K 2018, A dyadic conversation dataset on moral emotions. in 13th IEEE International Conference on Automatic Face and Gesture Recognition. Institute of Electrical and Electronics Engineers, Piscataway, 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

A dyadic conversation dataset on moral emotions. / Heron, Louise; Kim, Jaebok; Lee, M. et al.
13th IEEE International Conference on Automatic Face and Gesture Recognition. Piscataway: Institute of Electrical and Electronics Engineers, 2018. p. 687-691.

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

TY - GEN

T1 - A dyadic conversation dataset on moral emotions

AU - Heron, Louise

AU - Kim, Jaebok

AU - Lee, M.

AU - El Haddad, Kevin

AU - Dupont, Stephane

AU - Dutoit, Thierry

AU - Truong, Khiet

N1 - Conference code: 13

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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.

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KW - Affective computing

KW - Dyadic interaction

KW - Nonverbal expressions

KW - Multimodal data

KW - Non-verbal expressions

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BT - 13th IEEE International Conference on Automatic Face and Gesture Recognition

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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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Keywords

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