Virtual Reality Potentiates Emotion and Task Effects of Alpha/Beta Brain Oscillations

Schubring, David; Kraus, Matthias; Stolz, Christopher; Weiler, Niklas; Keim, Daniel A.; Schupp, Harald T.

doi:10.3390/brainsci10080537

Cited by 28 publications

(13 citation statements)

References 41 publications

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“…The effect of affect on the sense of presence, however, has greater importance in lower immersion platforms. These findings comport well with findings from Schubring and colleagues [111] study that compared the effects of high-dimensional VR presentations with lower dimensional (two dimensional) stimulations. Findings suggest that overall VR revealed more robust effects for emotional and attentional processes when compared to conventional 2D stimulation.…”

Section: Affective Interactions Using Vr: the Link Between Presence Asupporting

confidence: 88%

Extended Reality for the Clinical, Affective, and Social Neurosciences

2020

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Brain science research often involves the use of low-dimensional tools and stimuli that lack several of the potentially valuable features of everyday activities and interactions. Although this research has provided important information about cognitive, affective, and social processes for both clinical and nonclinical populations, there is growing interest in high-dimensional simulations that extend reality. These high-dimensional simulations involve dynamic stimuli presented serially or concurrently to permit the assessment and training of perceivers’ integrative processes over time. Moreover, high-dimensional simulation platforms can contextually restrain interpretations of cues about a target’s internal states. Extended reality environments extend assessment and training platforms that balance experimental control with emotionally engaging background narratives aimed at extending the affective experience and social interactions. Herein, we highlight the promise of extended reality platforms for greater ecological validity in the clinical, affective, and social neurosciences.

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Section: Affective Interactions Using Vr: the Link Between Presence Asupporting

confidence: 88%

Extended Reality for the Clinical, Affective, and Social Neurosciences

2020

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“…The literature describes the results of a large number of works indicating how virtual environment influences the change in psychophysiological parameters and the emotional state of a person, but the data presented is largely contradictory. Thus, in some studies, only the subjective assessments of the subjects were taken into account; in these cases, participants described viewing emotional video clips in VR as more exciting than viewing content on a usual screen [13][14][15][16][17][18]. Other studies do not show any significant differences in the strength of the emotional response between viewing a scenario on screen and in a virtual reality helmet [19].…”

Section: Related Workmentioning

confidence: 99%

Multimodal Assessment of Changes in Physiological Indicators when Presenting a Video Fragment on Screen (2D) versus a VR (3D) Environment

Kriklenko

Kovaleva

Klimenko

et al. 2022

Behavioural Neurology

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The increasing role of virtual environments in society, especially in the context of the pandemic and evolving metaverse technologies, requires a closer study of the physiological state of humans using virtual reality (VR) for entertainment, work, or learning. Despite the fact that many physiological reactions to the content presented in various modalities under VR conditions have already been described, often these studies do not reflect the full range of changes in the physiological reactions that occur to a person during their immersion in the virtual world. This study was designed to find and compare the most sensitive physiological indicators that change when viewing an emotionally intense video fragment in standard format on screen and in virtual reality conditions (in a VR helmet). The research methodology involved randomly presenting a group of subjects with visual content—a short video clip—first on screen (2D) and then in a virtual reality helmet (3D). A special feature of this study is the use of multimodal physiological state assessment throughout the content presentation, in conjunction with psychological testing of the study participants before and after the start of the study. It has been discovered that the most informative physiological indicators reflecting the subjects’ condition under virtual reality conditions were changes in theta rhythm amplitude, skin conductance, standard deviation of normal RR-intervals (SDRR), and changes in photoplethysmogram (PPG). The study results suggest that in the process of immersion in a virtual environment, the participants develop a complex functional state, different from the state when watching on screen, which is characterised by the restructuring of autonomic regulation and activation of emotion structures of the brain.

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“…Besides other applications of 3D environments like education or architecture, it has been proven as an effective technology for therapeutic applications, since 3D environments have stronger effects than 2D stimulation [39,43].…”

Section: Peer Review 4 Of 17mentioning

confidence: 99%

Adaptive Model for Biofeedback Data Flows Management in the Design of Interactive Immersive Environments

et al. 2021

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The interactivity of an immersive environment comes up from the relationship that is established between the user and the system. This relationship results in a set of data exchanges between human and technological actors. The real-time biofeedback devices allow to collect in real time the biodata generated by the user during the exhibition. The analysis, processing and conversion of these biodata into multimodal data allows to relate the stimuli with the emotions they trigger. This work describes an adaptive model for biofeedback data flows management used in the design of interactive immersive systems. The use of an affective algorithm allows to identify the types of emotions felt by the user and the respective intensities. The mapping between stimuli and emotions creates a set of biodata that can be used as elements of interaction that will readjust the stimuli generated by the system. The real-time interaction generated by the evolution of the user’s emotional state and the stimuli generated by the system allows him to adapt attitudes and behaviors to the situations he faces.

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Virtual Reality Potentiates Emotion and Task Effects of Alpha/Beta Brain Oscillations

Cited by 28 publications

References 41 publications

Extended Reality for the Clinical, Affective, and Social Neurosciences

Extended Reality for the Clinical, Affective, and Social Neurosciences

Multimodal Assessment of Changes in Physiological Indicators when Presenting a Video Fragment on Screen (2D) versus a VR (3D) Environment

Adaptive Model for Biofeedback Data Flows Management in the Design of Interactive Immersive Environments

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