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Emotion-augmented machine learning: Overview of an emerging domain

  • Imperial College London

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

19 Scopus citations

Abstract

Emotion has been exposed as a crucial component of intelligent behaviour. Considerations in both neuroscience and psychology have identified emotion as playing a central role in various critical cognitive processes, such as attaining salience from the environment in order to support decision making, exploration-exploitation and broader adaptation. This paper provides an overview of some of the corroborative material in these fields, to then consider how emotion has been translated into machine learning. We identify emotion as being a promising endeavour for machine learning and expose Emotion-augmented Machine Learning (EML) as a frontier field in Artificial Intelligence and Affective Computing.

Original languageEnglish
Title of host publication2017 7th International Conference on Affective Computing and Intelligent Interaction, ACII 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages305-312
Number of pages8
ISBN (Electronic)9781538605639
DOIs
StatePublished - 2 Jul 2017
Externally publishedYes
Event7th International Conference on Affective Computing and Intelligent Interaction, ACII 2017 - San Antonio, United States
Duration: 23 Oct 201726 Oct 2017

Publication series

Name2017 7th International Conference on Affective Computing and Intelligent Interaction, ACII 2017
Volume2018-January

Conference

Conference7th International Conference on Affective Computing and Intelligent Interaction, ACII 2017
Country/TerritoryUnited States
CitySan Antonio
Period23/10/1726/10/17

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