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Berberyan, A.S., Berberyan, H.S. & Alsina-Jurnet, I. (2023). Virtual reality as anxiety management tool, International Journal of
Cognitive Research in Science, Engineering and Education (IJCRSEE), 11(3), 449-459.
Introduction
Virtual reality (VR) technologies are becoming increasingly involved in society and the process of
human life. The area of mental health is not an exception in the 21st century trends, and VR has started to
become a common tool for the study, prevention, assessment, and treatment of psychological disorders
(e.g., Glanz, Rizzo and Graap, 2003; LaValle, 2023; Mancuso et al., 2023). In particular, VR technologies
have been successfully applied to treat various mental health problems such as anxiety disorders (Carl et
al., 2019; Opris et al., 2012; Parsons and Rizzo, 2008), eating disorders (Clus et al., 2018; Marco, Perpina
and Botella, 2014), addictions (Segawa et al., 2020) or as a non-pharmacological analgesic procedure to
reduce acute pain and anxiety (Kenney and Milling, 2016; Triberti, Repetto and Riva, 2014).
Nowadays, the most established use of VR is as an exposure-technique to treat anxiety-related
disorders (Freeman et al., 2017). Research studies have shown its clinical efcacy to treat specic
phobias (Garcia-Palacios et al., 2002; North, North and Coble, 1998), the Posttraumatic Stress Disorder
(PTSD; Beidel et al., 2019; Rothbaum et al., 2003) or panic disorders (Botella et al., 2007), among others.
Although various studies have comprehensively studied the possibilities of VR to treat anxiety disorders,
it becomes challenging to translate these ndings to a healthy population. We, therefore, conducted
the study to assess to what degree a low-cost VR system can be used for decreasing state anxiety
and negative mood in the healthy population. We argue that the application of VR technologies could
substantially help in reducing the anxiety levels and in promoting a positive mood in healthy individuals.
In the rest of the introduction, a historical overview of the development of VR technologies will be
provided. Then, the problem of human involvement in VR will be discussed. Next, an overview of the
research on anxiety disorders by utilizing VR technologies will be presented. At the end of the introduction,
the goals of the current study and the hypotheses will be listed.
Virtual Reality as Anxiety Management Tool
Asya S. Berberyan1* , Hermine S. Berberyan2 , Ivan Alsina-Jurnet3
1Psychology Department, Armenian-Russian University, Yerevan, Armenia, e-mail: aspsy@inbox.ru
2Dienst Uitvoering Onderwijs, Ministry of Education, Culture and Science, Groningen, Netherlands, e-mail: hermpsy@mail.ru
3Universitat de Vic-Universitat Central de Catalunya (UVIC-UCC), Barcelona, Spain, e-mail: alsinajurnet@gmail.com
Abstract: Virtual Reality technologies have been established as an effective tool for the treatment of a variety of mental
health disorders. Despite those positive results, it remains unclear whether these ndings can generalize to the healthy population.
In the current study, we assessed to what degree a virtual scenario consisting of a tropical beach can be successfully applied
for the reduction of state anxiety and negative mood in healthy individuals. The study was performed on 50 volunteers aged
18 to 45 that were individually exposed to virtual reality. Before and after the virtual reality session, the emotional state of the
participants was measured through questionnaires. Using linear mixed effect models, we obtained evidence for the effectivity
of a single virtual reality session for negative state reduction, namely, we observed a decrease in state anxiety and negative
mood. Additionally, a positive mood of participants increased after the session, however, no statistical evidence was obtained.
The results conrm our hypothesis that state anxiety and negative mood can be decreased using a low-cost virtual reality
device. Based on our ndings, we suggest that virtual scenarios can improve the emotional well-being and the quality of life of
the general population.
Keywords: virtual reality, natural scenarios, state anxiety, negative and positive mood, sense of presence.
Original scientic paper
Received: August 30, 2023.
Revised: November 27, 2023.
Accepted: December 03, 2023.
UDC:
159.942.5.072-057.875:004.946(479.25)
615.851:004.946
10.23947/2334-8496-2023-11-3-449-459
© 2023 by the authors. This article is an open access article distributed under the terms and conditions of the
Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
*Corresponding author: aspsy@inbox.ru
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Berberyan, A.S., Berberyan, H.S. & Alsina-Jurnet, I. (2023). Virtual reality as anxiety management tool, International Journal of
Cognitive Research in Science, Engineering and Education (IJCRSEE), 11(3), 449-459.
Historical overview
The modern VR started its early development in the 1950s and 60s accompanied by several key
inventions. This included patenting the Sensorama in 1957 by M. Heilig. The goal of the Sensorama
was to use the senses of the user including components such as odor generators and vibrating chairs
while aiming to provide a complete multisensory experience (Heilig, 1962). Following this in 1961, the
Headsight, the rst supervisor of head-mounted displays that included motion tracking and dual monitor
displays, was designed by Philco Corporation (Peddie, 2017). Sutherland (1965) designed the Ultimate
display, that innovatively used the computer interface. This allowed users to interact using a simple virtual
scenario in real time frame.
The formalization of VR occurred in 1989 with J. Lanier coining the term “virtual reality”. At that
point, VR has been extensively used in research and psychiatric treatment (Lanier, 1992). In the decades
following that, VR started to be used by mental health professionals as an exposure method to treat
anxiety disorders. The effectiveness of VR-based Exposure Therapy (VRET) was evaluated in the primary
research with the focus on the treatment of acrophobia (Rothbaum et al., 1995). Based on this study,
VRET was proved to be effective and that led to a number of follow-up studies on the use of VR-based
therapy for the treatment of anxiety disorders and, in general, other mental health problems.
The problem of human involvement in virtual reality
An important question for the application of VR is the problem of human involvement in virtual
scenarios. This involvement was found to be associated with the formation of a genuine emotional
attachment of participants to virtual characters (Gould, Coulson and Howard, 2012). Slater (2009)
discussed the Place Illusion (PI) and Plausibility Illusion (Psi) as the predictors of individuals’ realistic
perception of virtual environments. Continuing this idea, Pillai, Schmidt and Richir, (2013) framed the
concept of the psychological illusion of presence while being in an alternative reality. This concept was
understood as a continuous cognitive process that concerns perceived objects and phenomena while the
mind functions and perceives in the same way as in the real world. The authors suggested calling it Self-
Evoked Reality, an endogenously induced reality that is a component of the general model of reality. They
adhered to the position that the psychological alternative reality can be interrupted leading to the person
returning to the reality. Before this critical moment, most vivid sense of presence is experienced that is
accompanied by corresponding emotional experiences. The idea of psychological VR and the possibility of
it being interrupted indicate broad prospects for the treatment of mental disorders, psychological trauma,
loss and other problems.
The ability to simulate real situations in a virtual environment drew the attention of the researchers to
the possibilities of its use for the study, assessment, prevention, and treatment of mental health disorders.
Since then, VR has been successfully applied to various mental health disorders (e.g., Fornells-Ambrojo
et al., 2008; Freeman et al., 2010; Riva et al., 2004). These studies opened perspectives to determine
the essence of the manifestation of thoughts of persecution, the possibility to separate the real world
from the fantasy world in people with psychopathology. In this direction, VR has established itself as a
implementation technique for a broader study of the causes and nature of the manifestation of certain
symptoms, which allows adjusting the therapeutic lines of care for people with certain mental health
problems.
Research on anxiety disorders and VR
For two decades various experimental studies have been conducted to study the effect of VR on
the treatment of subclinical fears and anxiety disorders. In the rst controlled application of VR for the
treatment of psychological issues, VR therapy was successful in reducing the fear of heights (Rothbaum
et al., 1995). The result was evaluated by indicators of anxiety, avoidance, attitude, and stress. Signicant
differences in the groups were found for all indicators, so the VR group improved signicantly after
treatment, but the control group did not change. Nowadays, a large body of literature validates the use of
VR as an exposure technique to treat anxiety-related disorders. Note that recent review and meta-analytic
studies have shown that VR can be more efcient than imaginal exposure and can have the same efcacy
as in-vivo exposure (Carl et al., 2019; Meyerbröker and Emmelkamp, 2010; Morina et al., 2015; Morina
et al., 2015; Parsons and Rizzo, 2008; Powers and Emmelkamp, 2008). In addition, the use of VR may
increase treatment adherence by reducing the treatment desertion.
However, beyond the treatment of anxiety disorders through reducing negative emotions, VR has
been also effectively used in inducing positive emotions. In a recent study that utilized VR technologies,
positive emotions such as relaxation and joy have been successfully induced while an anxiety level was
reduced in healthy population (Baños et al, 2008). With regard to a clinical population, a pilot study,
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Berberyan, A.S., Berberyan, H.S. & Alsina-Jurnet, I. (2023). Virtual reality as anxiety management tool, International Journal of
Cognitive Research in Science, Engineering and Education (IJCRSEE), 11(3), 449-459.
involving 25 patients with Generalized Anxiety Disorder (GAD), was conducted to assess the efcacy of
a VR system designed to induce relaxation (Repetto et al., 2013). Initial results suggested the efcacy of
VR and biofeedback devices in reducing stress and anxiety in a clinical population. However, the authors
also suggested the need to use physiological data to modify specic features of the virtual environment
in real time.
In recent VR applications, a variety of relaxation techniques have started to be used in conjunction
with biofeedback devices. Thus, the anxiety treatment has been proposed to improve through the use of
a biofeedback virtual reality system (VR), used both for relaxation and for the controlled effects of VR in
psychiatric treatment (Anderson et al., 2005; Anderson, Rothbaum, and Hodges, 2003). Moreover, in a
study developed within the EU-funded INTREPID research project, Riva et al. (2009) designed a mobile
VR system with biofeedback techniques to improve the traditional treatments for GAD.
The feeling of presence and anxiety level
One of the principal mechanisms underlying the use of VR as an exposure technique is the feeling
of presence. In the specialized literature, the construct of presence is usually considered the principal
mechanism by which VR is effective as a psychological intervention tool (Alsina-Jurnet and Gutiérrez-
Maldonado, 2010). The term “presence” is usually dened as the “sense of being there” as a part of a
simulated environment (Steuer, 1992). One of the main results of this illusion is that a virtual scenario
may evoke the reactions, emotions, and thoughts similar to the experience in a real world (Hodges et al.,
1995).The sense of presence in VR can be facilitated by the application of technologies including touch
gloves, head displays, vibroactive platforms and synthesized sounds that together allow to simulate the
users’ sensorial channels and actively exploration of the virtual environment. In addition, some virtual
reality systems are programmed to respond in real time to the actions of the participants. Due to this
dynamic interaction the more natural and intuitive connection to the virtual reality can be experienced.
The recent studies identied three main factors that comprise the “sense of presence” construct: realness,
spatial presence, and involvement (Lessiter et al., 2001; Schubert, Friedmann and Regenbrecht, 2001).
The relationship between the anxiety level and feeling of presence in both clinical and non- clinical
sample has been examined in various VR applications (Alsina-Jurnet et al., 2011; Krijn et al., 2004;
Regenbrecht, Schubert and Friedmann, 1998; Robillard et al., 2003; Schuemie et al., 2000). Although in
some of these studies the relationship between anxiety level and feeling of presence has been established
(Schuemie and Bruynzeel, 2000), others failed to correlate these values (e.g., Regenbrecht, Schubert and
Friedmann, 1998). One of the possible explanations of these contradictory results is the differences in the
sample: while some studies use a clinical population, others draw conclusions on the healthy individuals.
The mentioned limitations make it difcult to summarize the current ndings. A continuing challenge is,
therefore, to establish whether there is a relationship between anxiety level and feeling of presence in
healthy individuals.
To summarize, many of the studies utilizing VR for the treatment of mental health problems were
aimed to treat anxiety disorders. Thus, the results showed that VR use led to signicant reduction in
anxiety symptoms. Additionally, its effectiveness (or was more effective) was similar as compared to
traditional exposure interventions. Moreover, it had a powerful effect the persons’ day-to-day life. Despite
those ndings, it remains unclear whether VR technologies can affect the reduction of anxiety and
negative emotions in the general population. Thus, the goal of the present study was to investigate with a
non-clinical sample the efcacy of virtual experience for reducing negative state conditions and inducing
positive ones.
In the current study, we have the following hypotheses:
1) State anxiety and the negative mood can be reduced utilizing a low-cost VR system.
2) Positive mood can be induced utilizing VR technologies
3) There is a negative relationship between levels of state anxiety and feeling of presence
Materials and Methods
Participants
The sample consisted of 50 participants (37 females and 13 males), students of Armenian-Russian
University. The mean age of participants was 22.34 (SD = 5.28, age range = 18–45). All participants were
healthy individuals with no history of neurological and psychiatric disorders.
Before their participation, they gave informed consent in the form of a written statement in
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Berberyan, A.S., Berberyan, H.S. & Alsina-Jurnet, I. (2023). Virtual reality as anxiety management tool, International Journal of
Cognitive Research in Science, Engineering and Education (IJCRSEE), 11(3), 449-459.
accordance with the Declaration of Helsinki. In this statement, they agreed that participation in the study
was voluntary, individually conducted and had no negative consequences, that the data obtained in the
course of this study would be processed anonymously.
Questionnaires
The following questionnaires were administrated:
STAI (State-Trait Anxiety Inventory, Form X, S-Anxiety scale; Spielberger, 2010). A questionnaire
that assesses state anxiety level. This sub-scale comprises 20 items (e.g., I am presently worrying over
possible misfortunes) graded on a Likert scale from 0 (not at all) to 3 (a great deal).
SUDS (Subjective Units of Discomfort Scale; Wolpe, 1990). Participants evaluate their level of
anxiety on a scale of 100 points where 0 means no anxiety and 100 – extreme anxiety.
PANAS (Positive and Negative Affect Schedule; Watson, Clark and Tellegen, 1988). A self-report
questionnaire consisted of 20 adjectives which are related to 10 positive emotions (positive affect) and 10
negative emotions (negative affect). Participants were asked to dene the degree they felt the emotions
at the current moment using a ve-point Likert scale where 1 was ‘not at all’ and 5 – ‘extremely’.
IPQ (Igroup Presence Questionnaire; Schubert, Friedmann and Regenbrecht, 2008). A
questionnaire invented to evaluate the sense of presence in VR. This questionnaire consists of 14 items
that need to be evaluated using a seven-point Likert Scale. Three subscales rating different dimensions of
presence are included in IPQ. The Spatial Presence sub-scale reects the sense of being physically inside
the virtual reality environment, Realness sub-scale estimates the sense of reality attributed to the virtual
environment, while the Involvement evaluates the attention devoted to the virtual reality environment.
Additionally, a general item that estimates the ‘‘sense of being here” is included in IPQ.
Hardware
The virtual scenario was displayed by a standalone VR glasses (Pico Interactive Goblin VR) with
a resolution of 2560 × 1440 pixels, 92º eld of view, and a screen refresh rate of 70 Hz (<20 ms) (see
Figure 1).
Figure 1. Standalone Pico Goblin VR headset
Software
RelaxVR (https://www.relaxvr.co/): An App that combines the exposure to different 360º videos
of natural environments (including beaches, forests, rivers, waterfalls, among others) with guided
meditations, and soothing music to accompany the visual and meditative experience.
For the present study, researchers used the video of a beach located in Tasmania (Australia) (see
Figure 2) with an embedded Russian narrative consisting of a 5-minute breath awareness technique. Note
that the breath technique was specically designed and recorded for the present study.
Figure 2. A screenshot of the virtual beach used in the present study
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Berberyan, A.S., Berberyan, H.S. & Alsina-Jurnet, I. (2023). Virtual reality as anxiety management tool, International Journal of
Cognitive Research in Science, Engineering and Education (IJCRSEE), 11(3), 449-459.
Procedure
A within-subjects design with two evaluation moments (pre- test and post-test) was used. The
duration of each experiment was approximately 30 min, and all participants did it individually. Before
starting the exposure to the virtual scenario, the STAI (S-Anxiety), the SUDS, and the PANAS were
administered. Afterwards, the participants were immersed in the tropical beach for 7 minutes. Finally, after
the exposure, the STAI-S, the SUDS, the PANAS, and the IPQ were administered.
Statistical analysis
To statistically evaluate the differences in the participants’ scores, we constructed Linear Mixed-
Effects models (LME models; Bates and DebRoy, 2004) in R (R Core Team, 2013). To obtain p-values
we used lmerTest R package based on Satterthwaite’s method (Kuznetsova, Brockhoff and Christensen,
2018). Additionally, to evaluate the relationship between variables, we computed the Pearson’s product-
moment correlation (Lee Rodgers and Nicewander, 1988).
Results
Exposure to natural virtual scenarios can be used to decrease State Anxiety?
To assess the inuence of the Virtual Reality on participants’ anxiety level, the values on State
Anxiety Level (as measured by State-Trait Anxiety Inventory for adults; Spielberger, 2010) were inspected
(Figure 3). Given large differences in mean values and standard errors between two groups, a Linear Mixed
Effect model (LME) with Condition (before and after the VR session) as a xed effect and Participants as
a random intercept was constructed to evaluate the differences statistically. The results of the statistical
analysis provided evidence for the effect of the VR session (for all the estimates see Table 1) meaning
that the State Anxiety level was signicantly decreased by means of VR session (t = -8.55, p <0.001). The
model results indicate that before the VR session participants on average had a score of 19.48 while after
the VR session the average score decreased to 12.06.
Additionally, the values on the Subjective Units of Distress Scale (as measured by SUDS; Wolpe,
1990) were compared before and after the VR session (for average values see Figure 3). Given large dif-
ferences observed in average values, a Linear Mixed Effect model (LME) with Condition (before and after
the VR session) as a xed effect and Participants as a random intercept was constructed. The results of
the statistical analysis provided evidence for the effect of the VR session (Table 1) on the values of SUDS
(t = -7.44, p <0.001). The model results indicate that before the VR session participants on average had
a score of 28.8 (a score of 30 - “mild anxiety distress”) while after a single VR session the average score
decreased to 12.16 (a score of 10 – “alert and awake”). Overall, these results provide evidence for the
effectiveness of the VR session for decreasing state anxiety in the sample of University students.
Figure 3. The mean values along with the standard errors per participant (Morey, 2008) are
presented for State Anxiety Level and Subjective Units of Distress before and after the VR session
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Berberyan, A.S., Berberyan, H.S. & Alsina-Jurnet, I. (2023). Virtual reality as anxiety management tool, International Journal of
Cognitive Research in Science, Engineering and Education (IJCRSEE), 11(3), 449-459.
Table 1.
The results of LME models for effect of the VR session on State Anxiety Level and SUDS
Can exposure to Virtual Reality be used to decrease Negative Mood and facilitate a Positive
Mood?
First, the participants’ basic emotions were assessed with The Positive and Negative Affect Schedule
questionnaire (PANAS; Watson, Clark and Tellegen, 1988). Based on participants’ responses the mean
values were calculated along with within-subject standard errors (Figure 4). The visual inspection of both
positive and negative affect values allowed observing differences before and after the VR session.
To test these differences statistically, LMEs with Condition (before and after the VR session) as
a xed effect and Participants as a random intercept were constructed. The results of the statistical
analysis provided evidence for the effect of VR session (Table 2) on Negative Affect meaning that the
level of Negative Affect can be signicantly reduced by means of VR session (t = -5.95, p <0.001). The
model results indicate that before the VR session participants had on average a score of 17.44 while after
the average score decreased to 12.88. For Positive Affect, participants’ scores increased after the VR
session, however, no statistical evidence was obtained (t = 1.24, p > 0.05).
Figure 4. The mean values along with the standard errors per participant (Morey, 2008) are
presented for The PANAS questionnaire before and after the VR session
Table 2.
The results of LME models for effect of VR session on Positive and Negative Affect Schedule
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Berberyan, A.S., Berberyan, H.S. & Alsina-Jurnet, I. (2023). Virtual reality as anxiety management tool, International Journal of
Cognitive Research in Science, Engineering and Education (IJCRSEE), 11(3), 449-459.
Is there a relationship between State Anxiety Level and the Feeling of Presence?
The feeling of presence was measured by the IPQ questionnaire (Igroup Presence Questionnaire;
Schubert, Friedmann and Regenbrecht, 2008). The following values from the IPQ questionnaire were
analyzed: IPQ total score, the values for the four IPQ subscales: Involvement (INV), General Presence
(GP), Spatial Presence (SP), Realness (REAL). The mean values for these subscales were visually
inspected and are presented in Figure 5A. The participants had the highest values for Spatial Presence
and the lowest for General Presence.
To assess whether there is a relationship between state anxiety and the feeling of presence,
Pearson’s product-moment correlation between the values of State Anxiety (as measured by the State-
Trait Anxiety Inventory for adults; Spielberger, 2010) and the total IPQ score was calculated. A negative
weak correlation was obtained between State Anxiety Level before VR and IPQ total score, r(48)= - .28,
p < .05. When comparing State Anxiety Level after VR and IPQ total score similar tendencies were
observed: r(48)= - .38, p < .01. The visual representation of values for these two variables (Figure 5B)
indicates a large spread of values and together with the current ndings does not provide grounds for
concluding that there is a correlation between anxiety level and the total score of the feeling of presence.
Figure 5. A. The mean values and standard errors are presented for four different IPQ Subscales:
Involvement (INV), General Presence (GP), Spatial Presence (SP), Realness (REAL). B. State Anxiety
Level plotted along with IPQ total score before and after the VR session
To further investigate the connection between the state anxiety and feeling of presence, the
correlations between four subscales of IPQ and State Anxiety Level before and after VR were computed.
The correlation values (r) along with p-values are presented in Table 3. When comparing IPQ values
with State Anxiety scores, signicant negative correlations were found between General Presence score
and State Anxiety before (r(48)= - .43, p < .05) and after VR session (r(48)= - .47, p < .001). Additionally,
weak signicant negative correlations were found between State Anxiety score after VR session and the
following IPQ subscales: Involvement Score (r(48)= - .38, p < .05) and Spatial Presence score (r(48)= -
.29, p < .05). Marginal negative correlation was found between STAI score before VR session and Spatial
Presence score (r(48)= - .27, p = .05).
Table 3.
The results of correlation analysis between feeling of presence (IPQ) and State Anxiety Level
before and after VR
*** - correlation signicant at level of 0.001, ** - correlation signicant at level of 0.05, * - marginally signicant
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Berberyan, A.S., Berberyan, H.S. & Alsina-Jurnet, I. (2023). Virtual reality as anxiety management tool, International Journal of
Cognitive Research in Science, Engineering and Education (IJCRSEE), 11(3), 449-459.
Discussion and Conclusion
In the current study, we aimed to reduce the anxiety level and negative mood and to induce a
positive mood in healthy individuals that were exposed to a virtual scenario consisting of a tropical beach.
The study was performed in an individual form. To estimate the impact of VR technologies on the psycho-
emotional state, the questionnaires were administrated on state anxiety level, subjective units of distress,
and positive and negative mood. Additionally, the feeling of presence of the participants was assessed.
The challenge was, therefore, to evaluate whether a single VR session can lead to the reduction of anxiety
level and negative mood and induction of positive mood.
To explore the possibility of state anxiety reduction by means of VR, the values for state anxiety
were compared before and after the VR session. The results of the statistical analysis provided evidence
regarding the efcacy of VR on the state anxiety reduction reected in both STAI (S-Anxiety) and SUDS
values. For STAI (S-Anxiety), before the VR session participants on average had a score of 19.48 while
after the VR session, an average score decreased to 12.06. It is worth mentioning that both before and
after the VR session participants were not characterized “high” levels of anxiety or stress (Arnaiz and
Guillén, 2013; Gevorgyan, Berberyan and Berberyan, 2022; Knight, Waal-Manning and Spears, 1983)
because of the fact that the sample was composed of a healthy population, namely, a group of university
students. For SUDS, before the VR session participants on average had a score of 28.8 while after the VR
session, an average score decreased to 12.16. Overall, these results provide evidence for the effectivity
of VR sessions for decreasing the levels of anxiety. These results add to the body of the literature on the
effectivity of VR use for the treatment of anxiety disorders (Diemer et al., 2014; Freeman et al., 2017;
Gorini and Riva, 2008; Maples-Keller et al., 2017; Wiederhold and Wiederhold, 2005) suggesting that
VR can be also used to reduce state anxiety in a healthy population. This nding is consistent with the
previous studies on anxiety reduction in students by means of VR (Camara and Hicks, 2020; García-
Batista et al., 2022; Harris, Kemmerling and North, 2002).
To assess whether the feelings and emotions of participants can be manipulated due to a single VR
session, the resulting values of PANAS questionnaire were compared before and after the VR session.
The results of the statistical analysis provided evidence for the effect of VR session on the negative affect
reduction. Thus, before the VR session participants had on average a score of 17.44 while after the VR
session, an average score decreased to 12.88. For positive affect, participants’ scores increased after the
VR session, however, no statistical evidence was obtained. We explain this data by the possible lack of
a necessary balance between positive and negative emotional states: a decrease in negative effects will
not always automatically lead to an increase in a person’s positive feelings.
To explore the relationship between the state anxiety and feeling of presence in VR, the Pearson’s
correlation between the resulting values was computed. The results suggest no relationship between the
total IPQ score and state anxiety level. One of the possible explanations of the current ndings is that
our participants in general were not characterized by a “high” anxiety level that is often associated with
the feeling of presence (e.g., Regenbrecht, Schubert and Friedmann, 1998). Another explanation of the
absence of a relationship is that the virtual environments applied in this study were rather relaxing (a
virtual scenario consisting of a tropical beach) than stressful (Alsina-Jurnet et al., 2011).
Although VR is not yet extensively used in the clinicians’ daily practice, it has been demonstrated
to have tremendous potential for the diagnosis and treatment of mental health problems (Freeman et al.,
2017). There is every reason to believe that virtual reality will move from the category of experimental
diagnostic methods to everyday practice: using VR, you can create real life situations that standardize
psychological examination, making it more reliable. Despite the skepticism of representatives of the
“traditional school”, VR will be distributed in psychotherapy, as there are already scientic studies that
conrm the effectiveness of its use. The question of how exactly VR facilitates the clinical change is still
open: a discussion is ongoing with the rst view that immersion into VR has signicantly affected the
emotional state of the personality and the alternative view that this was rather driven by personal features
that affect the dependency on it.
Virtual reality has postulated itself as a new effective technique that can be applied for the study,
diagnosis, prevention, and treatment of various mental health issues. Additionally, its application has
recently been extended to reducing negative states in healthy individuals. The current results allow us to
conclude that VR can be effectively used to improve the mental well-being and quality of live, in general.
Altogether this would lead to promotion of the harmonious development of the personal as well as its
potential (Berberyan, 2021). In future, to enable wider application of VR, systematic research should be
carried on issues including methodology, technical equipment, preparation of participants for entry into the
virtual environment before the start of the study to exclude mental health risks. This would contribute to
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Berberyan, A.S., Berberyan, H.S. & Alsina-Jurnet, I. (2023). Virtual reality as anxiety management tool, International Journal of
Cognitive Research in Science, Engineering and Education (IJCRSEE), 11(3), 449-459.
the development and implementation of this unique latest technology in the theory and practice.
Acknowledgments
The work was supported by the Science Committee of RA, in the frames of the research project №
10-2/21T-03.
Conict of interests
The authors declare no conict of interest.
Author Contributions
Conceptualization, A.S.B.; methodology, A.S.B., H.S.B. and I.A.J.; software, A.S.B. and I.A.J.; for-
mal analysis, A.S.B. and H.S.B.; resources: A.S.B., writing—original draft preparation, A.S.B.; writing—
review and editing, A.S.B., H.S.B. and I.A.J.. All authors have read and agreed to the published version
of the manuscript.
References
Alsina-Jurnet, I., Gutiérrez-Maldonado, J., & Rangel-Gómez, M. V. (2011). The role of presence in the level of anxiety
experienced in clinical virtual environments. Computers in Human Behavior, 27(1), 504-512. https://doi.org/10.1016/j.
chb.2010.09.018
Anderson, P. L., Zimand, E., Hodges, L. F., & Rothbaum, B. O. (2005). Cognitive behavioral therapy for public-speaking anxiety
using virtual reality for exposure. Depression and Anxiety, 22(3), 156-158. https://doi.org/10.1002/da.20090
Anderson, P., Rothbaum, B. O., & Hodges, L. F. (2003). Virtual Reality Exposure in the Treatment of Social Anxiety. Cognitive
and Behavioral Practice, 10(3), 240-247. https://doi.org/10.1016/S1077-7229(03)80036-6
Arnaiz, P., & Guillén, F. (2013). Anxiety in Spanish EFL students in different university degree programs. Anales de Psicología/
Annals of Psychology, 29(2), 335-344. https://doi.org/10.6018/analesps.29.2.130791
Baños, R. M., Botella, C., Rubió, I., Quero, S., García-Palacios, A., & Alcañiz, M. (2008). Presence and emotions in virtual
environments: The inuence of stereoscopy. Cyberpsychology and Behavior, 11(1), 1-8. https://doi.org/10.1089/
cpb.2007.9936
Bates, D. M., & DebRoy, S. (2004). Linear mixed models and penalized least squares. Journal of Multivariate Analysis, 91(1),
1-17. https://doi.org/10.1016/j.jmva.2004.04.013
Beidel, D. C., Frueh, B. C., Neer, S. M., Bowers, C. A., Trachik, B., Uhde, T. W., & Grubaugh, A. (2019). Trauma management
therapy with virtual-reality augmented exposure therapy for combat-related PTSD: A randomized controlled trial.
Journal of Anxiety Disorders, 61, 64-74. https://doi.org/10.1016/j.janxdis.2017.08.005
Berberyan, A. (2021). Impact of Internet Dependence on the Life Meaning System of Personality. In E3S Web of Conferences
(Vol. 258). EDP Sciences. https://doi.org/10.1051/e3sconf/202125807061
Botella, C., Gracía-Palacios, A., Villa, H., Baños, R. M., Quero, S., Alcañiz, M., & Riva, G. (2007). Virtual reality exposure in
the treatment of panic disorder and agoraphobia: A controlled study. Clinical Psychology and Psychotherapy, 14(3),
164-175. https://doi.org/10.1002/cpp.524
Camara, D. R., & Hicks, R. E. (2020). Using virtual reality to reduce state anxiety and stress in university students: An
experiment. GSTF Journal of Psychology (JPsych), 4(2). https://dl6.globalstf.org/index.php/jpsych/article/view/2021
Carl, E., Stein, A. T., Levihn-Coon, A., Pogue, J. R., Rothbaum, B., Emmelkamp, P.,... Powers, M.B. (2019). Virtual reality
exposure therapy for anxiety and related disorders: A meta-analysis of randomized controlled trials. Journal of Anxiety
Disorders, 61, 27–36. https://doi.org/10.1016/j.janxdis.2018.08.003
Clus, D., Larsen, M. E., Lemey, C. & Berrouiguet, S. (2018). The Use of Virtual Reality in Patients with Eating Disorders:
Systematic Review. Journal Of Medical Internet Research, 20(4), e157. https://doi.org/10.2196/jmir.7898
Diemer, J., Mühlberger, A., Pauli, P., & Zwanzger, P. (2014). Virtual reality exposure in anxiety disorders: Impact on
psychophysiological reactivity. World Journal of Biological Psychiatry, 15(6), 427-442. https://doi.org/10.3109/15622
975.2014.892632
Fornells-Ambrojo, M., Barker, C., Swapp, D., Slater, M., Antley, A., & Freeman, D. (2008). Virtual reality and persecutory delusions:
Safety and feasibility. Schizophrenia Research, 104(1-3), 228-236. https://doi.org/10.1016/j.schres.2008.05.013
Freeman, D., Reeve, S., Robinson, A., Ehlers, A., Clark, D., Spanlang, B., & Slater, M. (2017). Virtual reality in the assessment,
understanding, and treatment of mental health disorders. Psychological Medicine, 47(14), 2393-2400. https://doi.
org/10.1017/S003329171700040X
Freeman, D., Pugh, K., Vorontsova, N., Antley, A., & Slater, M. (2010). Testing the continuum of delusional beliefs: an
experimental study using virtual reality. Journal of abnormal psychology, 119(1), 83. https://doi.org/10.1037/a0017514
García-Batista, Z. E., Guerra-Peña, K., Alsina-Jurnet, I., Cano-Vindel, A., Álvarez-Hernández, A., Cantisano-Guzmán, L. M.,
... & Medrano, L. A. (2022). Design and validation of virtual environments for the treatment of cleaning obsessive-
compulsive disorder. Heliyon, e12487-e12487. https://doi.org/10.1016/j.heliyon.2022.e12487
Garcia-Palacios, A., Hoffman, H., Carlin, A., Furness, T. A., & Botella, C. (2002). Virtual reality in the treatment of spider phobia:
A controlled study. Behaviour Research and Therapy, 40(9), 983-993. https://doi.org/10.1016/S0005-7967(01)00068-7
Gevorgyan, S., Berberyan, A., & Berberyan, H. (2022). Self-actualization and stress resistance: methodological and practical
aspects of studying the personality of students in the process of distance learning. Wisdom, 21(1), 44–59. https://doi.
www.ijcrsee.com
458
Berberyan, A.S., Berberyan, H.S. & Alsina-Jurnet, I. (2023). Virtual reality as anxiety management tool, International Journal of
Cognitive Research in Science, Engineering and Education (IJCRSEE), 11(3), 449-459.
org/10.24234/wisdom.v21i1.621
Glanz, K., Rizzo, A. S., & Graap, K. (2003). Virtual reality for psychotherapy: Current reality and future possibilities.
Psychotherapy: Theory, Research, Practice, Training, 40(1-2), 55. https://doi.org/10.1037/0033-3204.40.1-2.55
Gorini, A., & Riva, G. (2008). Virtual reality in anxiety disorders: The past and the future. Expert Review of Neurotherapeutics,
8(2), 215-233. https://doi.org/10.1586/14737175.8.2.215
Gould, R. L., Coulson, M. C., & Howard, R. J. (2012). Efcacy of cognitive behavioral therapy for anxiety disorders in older
people: A meta-analysis and meta-regression of randomized controlled trials. Journal of the American Geriatrics
Society, 60(2), 218-229. https://doi.org/10.1111/j.1532-5415.2011.03824.x
Harris, S. R., Kemmerling, R. L., & North, M. M. (2002). Brief virtual reality therapy for public speaking anxiety. Cyberpsychology
and Behavior, 5(6), 543-550. https://doi.org/10.1089/109493102321018187
Heilig, M. L. (1962). U.S. Patent No. 3,050,870. Washington, DC: U.S. Patent and Trademark Ofce.
Hodges, L. F., Kooper, R., Meyer, T. C., Rothbaum, B. O., Opdyke, D., De Graaff, J. J., ... & North, M. M. (1995). Virtual
environments for treating the fear of heights. Computer, 28(07), 27-34. https://doi.org/10.1109/2.391038
Kenney, M. P. & Milling, L.S. (2016). The effectiveness of virtual reality distraction for reducing pain: A meta-analysis. Psychology
of Consciousness: Theory, Research, and Practice, 3(3), 199-210. https://doi.org/10.1037/cns0000084
Knight, R. G., Waal-Manning, H. J., & Spears, G. F. (1983). Some norms and reliability data for the State-Trait Anxiety
Inventory and the Zung Self-Rating Depression scale. British Journal of Clinical Psychology, 22(4), 245-249. https://
doi.org/10.1111/j.2044-8260.1983.tb00610.x
Krijn, M., Emmelkamp, P. M., Biemond, R., de Ligny, C. D. W., Schuemie, M. J., & van der Mast, C. A. (2004). Treatment of
acrophobia in virtual reality: The role of immersion and presence. Behaviour research and therapy, 42(2), 229-239.
https://doi.org/10.1016/S0005-7967(03)00139-6
Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2017). lmerTest Package: Tests in Linear Mixed Effects Models.
Journal of Statistical Software, 82(13), 1–26. https://doi.org/10.18637/jss.v082.i13
LaValle, S. M. (2023). Virtual reality. Cambridge university press. https://books.google.rs/books?id=ft_LEAAAQBAJ&lpg
=PR11&ots=oxI7GqpVaF&dq=LaValle%2C%20S.%20M.%20(2023).%20Virtual%20reality.%20Cambridge%20
university%20press.&lr&hl=sr&pg=PR11#v=onepage&q=LaValle,%20S.%20M.%20(2023).%20Virtual%20reality.%20
Cambridge%20university%20press.&f=false
Lanier, J. (1992). Virtual reality: The promise of the future. Interactive Learning International, 8(4), 275-79.
Lee Rodgers, J., & Nicewander, W. A. (1988). Thirteen ways to look at the correlation coefcient. The American Statistician,
42(1), 59-66. https://doi.org/10.1080/00031305.1988.10475524
Lessiter, J., Freeman, J., Keogh, E., & Davidoff, J. (2001). A cross-media presence questionnaire: The ITC-Sense of Presence
Inventory. Presence: Teleoperators & Virtual Environments, 10(3), 282-297. https://doi.org/10.1162/105474601300343612
Mancuso, V., Bruni, F., Stramba-Badiale, C., Riva, G., Cipresso, P., & Pedroli, E. (2023). How do emotions elicited in virtual
reality affect our memory? A systematic review. Computers in Human Behavior, 107812. https://doi.org/10.1016/j.
chb.2023.107812
Maples-Keller, J. L., Bunnell, B. E., Kim, S. J., & Rothbaum, B. O. (2017). The use of virtual reality technology in the treatment
of anxiety and other psychiatric disorders. Harvard Review of Psychiatry, 25(3), 103. https://doi.org/10.1097/
HRP.0000000000000138
Marco, J. H., Perpina, C., & Botella, C. (2014). The treatment of the body image disturbances in eating disorders and clinically
signicant change. Anales de Psicología/Annals of Psychology, 30(2), 422-430.
Meyerbröker, K. & Emmelkamp P. (2010). Virtual reality exposure therapy in anxiety disorders: a systematic review of process-
and-outcome studies. Depression and Anxiety, 27, 933-944. https://doi.org/10.1002/da.20734
Morey, R. D. (2008). Condence intervals from normalized data: A correction to Cousineau (2005). Tutorials in Quantitative
Methods for Psychology, 4(2), 61-64. https://doi.org/10.20982/tqmp.04.2.p061
Morina, N., Ijntema, H., Meyerbröker, K., & Emmelkamp, P.M.G. (2015) Can virtual reality exposure therapy gains be generalized
to real life? A meta-analysis of studies applying behavioral assessments. Behaviour Research and Therapy, 74, 18-24.
https://doi.org/10.1016/j.brat.2015.08.010
North, M. M., North, S. M., & Coble, J. K. (1998). Virtual reality therapy: an effective treatment for phobias. Virtual environments
in clinical psychology and neuroscience: Methods and techniques in advanced patient-therapist interaction, 58,
112-119. https://books.google.rs/books?id=0-Nzrj_DWL4C&lpg=PA112&ots=SlWwfr8gP0&dq=North%2C%20
M.%20M.%2C%20North%2C%20S.%20M.%2C%20%26%20Coble%2C%20J.%20K.%20(1998).%20Virtual%20
reality%20therapy%3A%20an%20effective%20treatment%20for%20phobias.%20Virtual%20environments%20in%20
clinical%20psychology%20and%20neuroscience%2C%20112-119.&lr&hl=sr&pg=PA112#v=onepage&q&f=false
Opriş, D., Pintea, S., García/Palacios, A., Botella, C., Szamosközi, Ş., & David, D. (2012). Virtual reality exposure therapy in
anxiety disorders: a quantitative meta/analysis. Depression and anxiety, 29(2), 85-93. https://doi.org/10.1002/da.20910
Parsons, T. D. & Rizzo, A. A. (2008). Affective outcomes of virtual reality exposure therapy for anxiety and specic phobias:
A meta-analysis. Journal of Behavior Therapy and Experimental Psychiatry, 39, 250–261. https://doi.org/10.1016/j.
jbtep.2007.07.007
Peddie, J. (2017). Augmented Reality: Where we all live. Springer International. https://doi.org/10.1007/978-3-319-54502-8
Pillai, J. S., Schmidt, C., & Richir, S. (2013). Achieving presence through evoked reality. Frontiers in Psychology, 4, 86. https://
doi.org/10.3389/fpsyg.2013.00086
Powers, M. B., & Emmelkamp, P. M. (2008). Virtual reality exposure therapy for anxiety disorders: A meta-analysis. Journal of
anxiety disorders, 22(3), 561-569. https://doi.org/10.1016/j.janxdis.2007.04.006
R Core Team (2013). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna,
Austria. http://www.R-project.org/.
Regenbrecht, H. T., Schubert, T. W., & Friedmann, F. (1998). Measuring the sense of presence and its relations to fear
of heights in virtual environments. International Journal of Human-Computer Interaction, 10(3), 233-249. https://doi.
org/10.1207/s15327590ijhc1003_2
Repetto, C., Gaggioli, A., Pallavicini, F., Cipresso, P., Raspelli, S., & Riva, G. (2013). Virtual reality and mobile phones in the
treatment of generalized anxiety disorders: a phase-2 clinical trial. Personal and Ubiquitous Computing, 17(2), 253-
www.ijcrsee.com
459
Berberyan, A.S., Berberyan, H.S. & Alsina-Jurnet, I. (2023). Virtual reality as anxiety management tool, International Journal of
Cognitive Research in Science, Engineering and Education (IJCRSEE), 11(3), 449-459.
260. https://doi.org/10.1007/s00779-011-0467-0
Riva, G., Bacchetta, M., Cesa, G., Conti, S., & Molinari, E. (2004). The use of VR in the treatment of eating disorders. Studies
in health technology and informatics, 99, 121-163. https://doi.org/10.3233/978-1-60750-943-1-121
Riva, G., Gaggioli, A., Gorini, A., Carelli, L., Repetto, C., Algeri, D., & Vigna, C. (2009). Virtual reality as empowering environment
for personal change: the contribution of the applied technology for neuro-psychology laboratory. Anuario de Psicología,
40(2), 171-192. https://www.redalyc.org/pdf/970/97017660003.pdf
Robillard, G., Bouchard, S., Fournier, T., & Renaud, P. (2003). Anxiety and presence during VR immersion: A comparative
study of the reactions of phobic and non-phobic participants in therapeutic virtual environments derived from computer
games. CyberPsychology & Behavior, 6(5), 467-476. https://doi.org/10.1089/109493103769710497
Rothbaum, B. O., Hodges, L. F., Kooper, R., Opdyke, D., Williford, J. S., & North, M. (1995). Effectiveness of computer-
generated (virtual reality) graded exposure in the treatment of acrophobia. American Journal of Psychiatry, 152(4),
626-628. https://doi.org/10.1176/ajp.152.4.626
Rothbaum, B. O., Ruef, A. M., Litz, B. T., Han, H., & Hodges, L. (2003). Virtual reality exposure therapy of combat-related
PTSD: A case study using psychophysiological indicators of outcome. Journal of Cognitive Psychotherapy, 17(2), 163-
178. https://doi.org/10.1891/jcop.17.2.163.57438
Schubert, T., Friedmann, F., & Regenbrecht, H. (2001). The experience of presence: Factor analytic insights. Presence:
Teleoperators & Virtual Environments, 10(3), 266-281. https://doi.org/10.1162/105474601300343603
Schubert, T., Friedmann, F., & Regenbrecht, H. (2008). igroup presence questionnaire (IPQ) overview.
Schuemie, M. J., Bruynzeel, M., Drost, L., Brinckman, M., De Haan, G., Emmelkamp, P. M. G., & Van der Mast, C. A. P. G.
(2000). Treatment of acrophobia in virtual reality: A pilot study. In Conference Proceedings Euromedia (pp. 271-275).
Segawa, T., Baudry, T., Bourla, A., Blanc, J.V., Peretti, C.S., Mouchabac, S. & Ferreri, F. (2020). Virtual reality (VR) in
assessment and treatment of addictive disorders: A systematic review. Frontiers in Neuroscience, 13, 1409. https://doi.
org/10.3389/fnins.2019.01409
Slater, M. (2009). Place illusion and plausibility can lead to realistic behaviour in immersive virtual environments. Philosophical
Transactions of the Royal Society B: Biological Sciences, 364(1535), 3549-3557. https://doi.org/10.1098/rstb.2009.0138
Spielberger, C. D. (2010). State-Trait anxiety inventory. The Corsini encyclopedia of psychology. Hoboken: Wiley, 1.
Steuer, J. (1992). Dening Virtual Reality: Dimensions Determining Telepresence. Journal of Communication, 42(4), 73-93.
https://doi.org/10.1111/j.1460-2466.1992.tb00812.x
Sutherland, I. E. (1965). Sutherland - The Ultimate Display. In Proceedings of IFIPS Congress. https://doi.org/10.1109/
MC.2005.274
Triberti, S., Repetto, C. & Riva, G. (2014). Psychological factors inuencing the effectiveness of virtual reality–based analgesia:
A systematic review. Cyberpsychology, Behavior, and Social Networking, 17(6), 335-345. https://doi.org/10.1089/
cyber.2014.0054
Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: the
PANAS scales. Journal of personality and social psychology, 54(6), 1063. https://doi.org/10.1037/0022-3514.54.6.1063
Wiederhold, B. K., & Wiederhold, M. D. (2005). Virtual reality therapy for anxiety disorders: Advances in evaluation and
treatment. American Psychological Association. https://doi.org/10.1037/10858-000
Wolpe, J. (1990). The practice of behavior therapy. Pergamon Press.