A predictive model for understanding the role of emotion for the formation of presence in virtual reality

Users’ emotions may influence the formation of presence in virtual reality (VR). Users’ expectations, state of arousal and personality may also moderate the relationship between emotions and presence. An interoceptive predictive coding model of conscious presence (IPCM) considers presence as a produ...

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Vydáno v:PloS one Ročník 18; číslo 3; s. e0280390
Hlavní autoři: Jicol, Crescent, Cheng, Hoi Ying, Petrini, Karin, O’Neill, Eamonn
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Public Library of Science 16.03.2023
Public Library of Science (PLoS)
Témata:
Arousal
Beliefs, opinions and attitudes
Biology and Life Sciences
Computer and Information Sciences
Computer applications
Consciousness
Emotional factors
Emotions
Emotions - physiology
End users
Engineering and Technology
Euphoria
Influence
Mediation
Modelling
Personality
Prediction models
Research and Analysis Methods
Social aspects
Social Sciences
Usability
Virtual Reality
United Kingdom
ISSN:1932-6203, 1932-6203
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Abstract Users’ emotions may influence the formation of presence in virtual reality (VR). Users’ expectations, state of arousal and personality may also moderate the relationship between emotions and presence. An interoceptive predictive coding model of conscious presence (IPCM) considers presence as a product of the match between predictions of interoceptive emotional states and the actual states evoked by an experience (Seth et al. 2012). The present paper aims to test this model’s applicability to VR for both high-arousal and low-arousal emotions. The moderating effect of personality traits on the creation of presence is also investigated. Results show that user expectations about emotional states in VR have an impact on presence, however, expression of this relationship is moderated by the intensity of an emotion, with only high-arousal emotions showing an effect. Additionally, users’ personality traits moderated the relationship between emotions and presence. A refined model is proposed that predicts presence in VR by weighting emotions according to their level of arousal and by considering the impact of personality traits.
AbstractList Users’ emotions may influence the formation of presence in virtual reality (VR). Users’ expectations, state of arousal and personality may also moderate the relationship between emotions and presence. An interoceptive predictive coding model of conscious presence (IPCM) considers presence as a product of the match between predictions of interoceptive emotional states and the actual states evoked by an experience (Seth et al. 2012). The present paper aims to test this model’s applicability to VR for both high-arousal and low-arousal emotions. The moderating effect of personality traits on the creation of presence is also investigated. Results show that user expectations about emotional states in VR have an impact on presence, however, expression of this relationship is moderated by the intensity of an emotion, with only high-arousal emotions showing an effect. Additionally, users’ personality traits moderated the relationship between emotions and presence. A refined model is proposed that predicts presence in VR by weighting emotions according to their level of arousal and by considering the impact of personality traits.
Users' emotions may influence the formation of presence in virtual reality (VR). Users' expectations, state of arousal and personality may also moderate the relationship between emotions and presence. An interoceptive predictive coding model of conscious presence (IPCM) considers presence as a product of the match between predictions of interoceptive emotional states and the actual states evoked by an experience (Seth et al. 2012). The present paper aims to test this model's applicability to VR for both high-arousal and low-arousal emotions. The moderating effect of personality traits on the creation of presence is also investigated. Results show that user expectations about emotional states in VR have an impact on presence, however, expression of this relationship is moderated by the intensity of an emotion, with only high-arousal emotions showing an effect. Additionally, users' personality traits moderated the relationship between emotions and presence. A refined model is proposed that predicts presence in VR by weighting emotions according to their level of arousal and by considering the impact of personality traits.Users' emotions may influence the formation of presence in virtual reality (VR). Users' expectations, state of arousal and personality may also moderate the relationship between emotions and presence. An interoceptive predictive coding model of conscious presence (IPCM) considers presence as a product of the match between predictions of interoceptive emotional states and the actual states evoked by an experience (Seth et al. 2012). The present paper aims to test this model's applicability to VR for both high-arousal and low-arousal emotions. The moderating effect of personality traits on the creation of presence is also investigated. Results show that user expectations about emotional states in VR have an impact on presence, however, expression of this relationship is moderated by the intensity of an emotion, with only high-arousal emotions showing an effect. Additionally, users' personality traits moderated the relationship between emotions and presence. A refined model is proposed that predicts presence in VR by weighting emotions according to their level of arousal and by considering the impact of personality traits.
Audience Academic
Author Petrini, Karin
O’Neill, Eamonn
Jicol, Crescent
Cheng, Hoi Ying
AuthorAffiliation University of Milan, ITALY
University of Bath, Bath, United Kingdom
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/36928040$$D View this record in MEDLINE/PubMed
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2023 Jicol et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
2023 Jicol et al 2023 Jicol et al
2023 Jicol et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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– notice: 2023 Jicol et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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Publisher Public Library of Science
Public Library of Science (PLoS)
Publisher_xml – name: Public Library of Science
– name: Public Library of Science (PLoS)
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Snippet Users’ emotions may influence the formation of presence in virtual reality (VR). Users’ expectations, state of arousal and personality may also moderate the...
Users' emotions may influence the formation of presence in virtual reality (VR). Users' expectations, state of arousal and personality may also moderate the...
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StartPage e0280390
SubjectTerms Arousal
Beliefs, opinions and attitudes
Biology and Life Sciences
Computer and Information Sciences
Computer applications
Consciousness
Emotional factors
Emotions
Emotions - physiology
End users
Engineering and Technology
Euphoria
Influence
Mediation
Modelling
Personality
Prediction models
Research and Analysis Methods
Social aspects
Social Sciences
Usability
Virtual Reality
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Title A predictive model for understanding the role of emotion for the formation of presence in virtual reality
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Volume 18
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