Computational Emotion Models: A Thematic Review

Ojha, S; Vitale, J; Williams, MA

Computational Emotion Models: A Thematic Review

Ojha, S

Vitale, J Williams, MA

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Publisher:: Springer Science and Business Media LLC
Publication Type:: Journal Article
Citation:: International Journal of Social Robotics, 2020, pp. 1-27
Issue Date:: 2020-01-01

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Field	Value	Language
dc.contributor.author	Ojha, S https://orcid.org/0000-0003-4856-8335
dc.contributor.author	Vitale, J
dc.contributor.author	Williams, MA
dc.date.accessioned	2020-11-23T19:58:35Z
dc.date.available	2020-11-23T19:58:35Z
dc.date.issued	2020-01-01
dc.identifier.citation	International Journal of Social Robotics, 2020, pp. 1-27
dc.identifier.issn	1875-4791
dc.identifier.issn	1875-4805
dc.identifier.uri	http://hdl.handle.net/10453/144264
dc.description.abstract	© 2020, Springer Nature B.V. Several computational models of emotions have been proposed to enable artificial agents to generate emotions of their own. However, there are barriers that limit the full capabilities of these models. One issue is the need to enable emotion generation in autonomous agents in wide range of interaction situations instead of designing specific scenarios. Additionally, it is not practically easy task to ‘effectively’ integrate other human characteristics in emotion generation process of artificial agents, which is essential for variation in behavioural responses of such agents. Moreover, although theoretically it is believed that appraisal variables are associated with emotion intensities, existing emotion literature does not offer a generalisable mechanism to computationally achieve such a mapping—thereby leading to ad-hoc implementations. It is also important to note that emotions expressed by intelligent autonomous agents like robots can have deep impact on people and society, therefore, it is crucial to ensure ethical implications of emotional responses of such systems. In this paper, we endeavour to review the emotion models proposed in the last two decades based on the aspects discussed above and provide recommendations for the development of future computational models of emotion. Our review will mainly revolve around the emotion models that implement the concept of appraisal theory of emotion. Our finding suggests that none of the existing computational models of emotion using appraisal theory implement all the characteristics we identify thereby providing further research opportunities.
dc.language	en
dc.publisher	Springer Science and Business Media LLC
dc.relation.ispartof	International Journal of Social Robotics
dc.relation.isbasedon	10.1007/s12369-020-00713-1
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.subject	0801 Artificial Intelligence and Image Processing, 0915 Interdisciplinary Engineering, 2002 Cultural Studies
dc.title	Computational Emotion Models: A Thematic Review
dc.type	Journal Article
utslib.for	0801 Artificial Intelligence and Image Processing
utslib.for	0915 Interdisciplinary Engineering
utslib.for	2002 Cultural Studies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2020-11-23T19:58:29Z
pubs.publication-status	Published

Abstract:

© 2020, Springer Nature B.V. Several computational models of emotions have been proposed to enable artificial agents to generate emotions of their own. However, there are barriers that limit the full capabilities of these models. One issue is the need to enable emotion generation in autonomous agents in wide range of interaction situations instead of designing specific scenarios. Additionally, it is not practically easy task to ‘effectively’ integrate other human characteristics in emotion generation process of artificial agents, which is essential for variation in behavioural responses of such agents. Moreover, although theoretically it is believed that appraisal variables are associated with emotion intensities, existing emotion literature does not offer a generalisable mechanism to computationally achieve such a mapping—thereby leading to ad-hoc implementations. It is also important to note that emotions expressed by intelligent autonomous agents like robots can have deep impact on people and society, therefore, it is crucial to ensure ethical implications of emotional responses of such systems. In this paper, we endeavour to review the emotion models proposed in the last two decades based on the aspects discussed above and provide recommendations for the development of future computational models of emotion. Our review will mainly revolve around the emotion models that implement the concept of appraisal theory of emotion. Our finding suggests that none of the existing computational models of emotion using appraisal theory implement all the characteristics we identify thereby providing further research opportunities.

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http://hdl.handle.net/10453/144264