Affective Visualization in Virtual Reality: An Integrative Review

Pinilla, A; Garcia, J; Raffe, W; Voigt-Antons, J-N; Spang, RP; Möller, S

Affective Visualization in Virtual Reality: An Integrative Review

Pinilla, A Garcia, J Raffe, W

Voigt-Antons, J-N Spang, RP Möller, S

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Publisher:: Frontiers Media SA
Publication Type:: Journal Article
Citation:: Frontiers in Virtual Reality, 2021, 2, pp. 630731
Issue Date:: 2021-08-06

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Field	Value	Language
dc.contributor.author	Pinilla, A
dc.contributor.author	Garcia, J
dc.contributor.author	Raffe, W https://orcid.org/0000-0001-5310-0943
dc.contributor.author	Voigt-Antons, J-N
dc.contributor.author	Spang, RP
dc.contributor.author	Möller, S
dc.date.accessioned	2022-02-01T02:36:55Z
dc.date.available	2022-02-01T02:36:55Z
dc.date.issued	2021-08-06
dc.identifier.citation	Frontiers in Virtual Reality, 2021, 2, pp. 630731
dc.identifier.issn	2673-4192
dc.identifier.issn	2673-4192
dc.identifier.uri	http://hdl.handle.net/10453/154021
dc.description.abstract	<jats:p>A cluster of research in Affective Computing suggests that it is possible to infer some characteristics of users’ affective states by analyzing their electrophysiological activity in real-time. However, it is not clear how to use the information extracted from electrophysiological signals to create visual representations of the affective states of Virtual Reality (VR) users. Visualization of users’ affective states in VR can lead to biofeedback therapies for mental health care. Understanding how to visualize affective states in VR requires an interdisciplinary approach that integrates psychology, electrophysiology, and audio-visual design. Therefore, this review aims to integrate previous studies from these fields to understand how to develop virtual environments that can automatically create visual representations of users’ affective states. The manuscript addresses this challenge in four sections: First, theories related to emotion and affect are summarized. Second, evidence suggesting that visual and sound cues tend to be associated with affective states are discussed. Third, some of the available methods for assessing affect are described. The fourth and final section contains five practical considerations for the development of virtual reality environments for affect visualization.</jats:p>
dc.language	en
dc.publisher	Frontiers Media SA
dc.relation.ispartof	Frontiers in Virtual Reality
dc.relation.isbasedon	10.3389/frvir.2021.630731
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Affective Visualization in Virtual Reality: An Integrative Review
dc.type	Journal Article
utslib.citation.volume	2
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - PERSWADE - Centre on Persuasive Systems for Wise Adaptive Living
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2022-02-01T02:36:54Z
pubs.publication-status	Published online
pubs.volume	2

Abstract:

A cluster of research in Affective Computing suggests that it is possible to infer some characteristics of users’ affective states by analyzing their electrophysiological activity in real-time. However, it is not clear how to use the information extracted from electrophysiological signals to create visual representations of the affective states of Virtual Reality (VR) users. Visualization of users’ affective states in VR can lead to biofeedback therapies for mental health care. Understanding how to visualize affective states in VR requires an interdisciplinary approach that integrates psychology, electrophysiology, and audio-visual design. Therefore, this review aims to integrate previous studies from these fields to understand how to develop virtual environments that can automatically create visual representations of users’ affective states. The manuscript addresses this challenge in four sections: First, theories related to emotion and affect are summarized. Second, evidence suggesting that visual and sound cues tend to be associated with affective states are discussed. Third, some of the available methods for assessing affect are described. The fourth and final section contains five practical considerations for the development of virtual reality environments for affect visualization.

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http://hdl.handle.net/10453/154021