EmotionML

Felix Burkhardt; Catherine Pelachaud; Björn W. Schuller; Enrico Zovato

doi:10.1007/978-3-319-42816-1_4

EmotionML

Felix Burkhardt, Catherine Pelachaud, Björn W. Schuller, Enrico Zovato

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

12 Scopus citations

Abstract

EmotionML is a W3C recommendation to represent emotion related states in data processing systems. Given the lack of agreement in the literature on the most relevant aspects of emotion, it is important to provide a relatively rich set of descriptivemechanisms. It is possible to use EmotionML both as a standalonemarkup and as a plug-in annotation in different contexts. Emotions can be represented in terms of four types of descriptions taken from the scientific literature: categories, dimensions, appraisals, and action tendencies, with a single <emotion> element containing one or more of such descriptors. EmotionML provides a set of emotion vocabularies taken fromthe scientific and psychology literature.Whenever users have a need for a different vocabulary, however, they can simply define their own custom vocabulary and use it in the same way as the suggested vocabularies. Several applications have already been realized on the basis of EmotionML.

Original language	English
Title of host publication	Multimodal Interaction with W3C Standards
Subtitle of host publication	Toward Natural User Interfaces to Everything
Publisher	Springer International Publishing
Pages	65-80
Number of pages	16
ISBN (Electronic)	9783319428161
ISBN (Print)	9783319428147
DOIs	https://doi.org/10.1007/978-3-319-42816-1_4
State	Published - 1 Jan 2016
Externally published	Yes

Access to Document

10.1007/978-3-319-42816-1_4

Cite this

@inbook{1be1cc520ed94bfe93c1753a6b0a1c01,

title = "EmotionML",

abstract = "EmotionML is a W3C recommendation to represent emotion related states in data processing systems. Given the lack of agreement in the literature on the most relevant aspects of emotion, it is important to provide a relatively rich set of descriptivemechanisms. It is possible to use EmotionML both as a standalonemarkup and as a plug-in annotation in different contexts. Emotions can be represented in terms of four types of descriptions taken from the scientific literature: categories, dimensions, appraisals, and action tendencies, with a single element containing one or more of such descriptors. EmotionML provides a set of emotion vocabularies taken fromthe scientific and psychology literature.Whenever users have a need for a different vocabulary, however, they can simply define their own custom vocabulary and use it in the same way as the suggested vocabularies. Several applications have already been realized on the basis of EmotionML.",

author = "Felix Burkhardt and Catherine Pelachaud and Schuller, {Bj{\"o}rn W.} and Enrico Zovato",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2017.",

year = "2016",

month = jan,

day = "1",

doi = "10.1007/978-3-319-42816-1_4",

language = "English",

isbn = "9783319428147",

pages = "65--80",

booktitle = "Multimodal Interaction with W3C Standards",

publisher = "Springer International Publishing",

}

TY - CHAP

T1 - EmotionML

AU - Burkhardt, Felix

AU - Pelachaud, Catherine

AU - Schuller, Björn W.

AU - Zovato, Enrico

PY - 2016/1/1

Y1 - 2016/1/1

N2 - EmotionML is a W3C recommendation to represent emotion related states in data processing systems. Given the lack of agreement in the literature on the most relevant aspects of emotion, it is important to provide a relatively rich set of descriptivemechanisms. It is possible to use EmotionML both as a standalonemarkup and as a plug-in annotation in different contexts. Emotions can be represented in terms of four types of descriptions taken from the scientific literature: categories, dimensions, appraisals, and action tendencies, with a single element containing one or more of such descriptors. EmotionML provides a set of emotion vocabularies taken fromthe scientific and psychology literature.Whenever users have a need for a different vocabulary, however, they can simply define their own custom vocabulary and use it in the same way as the suggested vocabularies. Several applications have already been realized on the basis of EmotionML.

AB - EmotionML is a W3C recommendation to represent emotion related states in data processing systems. Given the lack of agreement in the literature on the most relevant aspects of emotion, it is important to provide a relatively rich set of descriptivemechanisms. It is possible to use EmotionML both as a standalonemarkup and as a plug-in annotation in different contexts. Emotions can be represented in terms of four types of descriptions taken from the scientific literature: categories, dimensions, appraisals, and action tendencies, with a single element containing one or more of such descriptors. EmotionML provides a set of emotion vocabularies taken fromthe scientific and psychology literature.Whenever users have a need for a different vocabulary, however, they can simply define their own custom vocabulary and use it in the same way as the suggested vocabularies. Several applications have already been realized on the basis of EmotionML.

UR - http://www.scopus.com/inward/record.url?scp=85009675479&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-42816-1_4

DO - 10.1007/978-3-319-42816-1_4

M3 - Chapter

AN - SCOPUS:85009675479

SN - 9783319428147

SP - 65

EP - 80

BT - Multimodal Interaction with W3C Standards

PB - Springer International Publishing

ER -

EmotionML

Abstract

Access to Document

Other files and links

Fingerprint

Cite this