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. 2023 Mar 28;13:5028. doi: 10.1038/s41598-023-30287-7

Emotion regulation and virtual nature: cognitive reappraisal as an individual-level moderator for impacts on subjective vitality

Annalisa Theodorou 1,✉, Giuseppina Spano 2, Gregory N Bratman 3, Kevin Monneron 4, Giovanni Sanesi 5, Giuseppe Carrus 1, Claudio Imperatori 6, Angelo Panno 6,✉
PMCID: PMC10043509  PMID: 36977705

Abstract

People who make habitual use of an emotion regulation strategy such as cognitive reappraisal may be more sensitive to the emotion cues coming from a surrounding natural environment and, thus, get more benefits from virtual nature exposure such as enhanced subjective vitality. However, no previous study investigated the moderating role of cognitive reappraisal in the relationship between exposure to different types of natural environments (a national park, a lacustrine environment, and an arctic environment vs. an urban environment) and subjective vitality. We designed a between-subject design (four conditions, one per type of environment) with a sample of 187 university students (Mage = 21.17, SD = 2.55). Participants were exposed to four 360° panoramic photos of the environment for one minute each with a virtual reality head-mounted display. The results of a multicategorical moderation analysis attested that there were two significant interactions, respectively between lacustrine and arctic environments and cognitive reappraisal. More specifically, for participants with low levels of habitual use of cognitive reappraisal, the effects of virtual nature (vs. urban) exposure on subjective vitality were not significant, while for participants with high levels, the effects were significant and positive. Findings show how the potential of virtual nature may be boosted with training aimed at increasing the general use of cognitive reappraisal, supports enhancing the applications of virtual nature, and demonstrates the need to take individual differences into account when determining the benefits of these applications.

Subject terms: Psychology, Psychology and behaviour

Introduction

Nature exposure through virtual reality (VR) is considered to be particularly useful for individuals facing barriers or other difficulties in accessing in-vivo natural environments, such as populations with special needs, hospitalized patients, prisoners, and individuals in forced confinement1–3. Increasing evidence demonstrates the benefits of virtual green and blue environments for a variety of psychological outcomes, including state affect, self-regulation, reduced stress, increased nature connectedness, and enhanced perceived restorativeness4–9. This includes some emerging work on other virtual natural environments other than greenspace, including the stress-reducing effects of exposure to deserts10 in healthy adult volunteers from El Paso, TX, and the impacts of an arctic environment on depressive symptoms in a clinical sample of patients with spinal cord injury11.

Among the psychological outcomes investigated in this new research topic, very little is known about subjective vitality, defined as a positive feeling of aliveness and energy12. This is an important aspect of emotional well-being to consider in this research, as it represents the presence or increase of a positive affective outcome in contrast to the absence or decrease of a negative one (e.g., anxiety). Specifically, as a positive emotion characterized by high activation and the perception that this energy emanates from the self, it has been extensively studied in the realm of motivation12,13. Subjective vitality has been shown to be associated with several physical, behavioral, and health outcomes, such as weight loss, attention, productivity, and other aspects of affective well-being12,14–16. Thus, it seems relevant to investigate if a relatively accessible medium such as VR can sustain subjective vitality. A recent study17 explored the change in subjective vitality in a sample of participants exposed to a VR application. Participants were administered a scale on subjective vitality before and after being exposed to a detailed 3D virtual forest through a head-mounted display (HMD) and headphones for the reproduction of sounds. Results showed a significant improvement in the participants’ vitality after a stay of just 5 min in the virtual environment. In line with this, Reese, Stahlberg, and Menzel18 found a slight increase in this outcome after an immersive VR experience of approximately 7 min duration of a forest scene.

Despite the encouraging findings on the effect of virtual green environments, more evidence is needed on the potential effects of other virtual natural environments, e.g., blue and arctic environments, on subjective vitality. Some results have been found with respect to blue environments. One study suggests that an outdoor environment characterized by liquid water (i.e., a river) can enhance subjective vitality19 but studies on virtual blue spaces are needed. Second, results on the virtual arctic environment are scarce and have not tested its specific characteristics in comparison to other environments11, though it was recently suggested that environments characterized by solid water, such as arctic ones, may increase restoration through fascination and the experience of being away20. Restorativeness is associated with subjective vitality21,22 and is presumably one of its antecedents23. Given this, we believe that taking into account all of the environments in the same study might be important for comparatively evaluating the size of their effects.

Another under-investigated aspect to consider is the potential moderating role of individual characteristics (e.g., personality traits or disposition) on the relationship between different types of VR natural environments and subjective vitality6. One relevant characteristic may be individual-level differences in emotion regulation1,24–26. In particular, the emotion regulation strategy of cognitive reappraisal may be relevant in decoding environmental cues and taking advantage of the opportunities offered by the surrounding environment27, including those that derive from natural environments28,29.

Cognitive reappraisal is defined as an emotion regulation strategy that aims at reconstructing the meaning of a situation, thereby modifying its emotional impact27,30–32. Habitual use of cognitive reappraisal has been found to be positively associated with affective well-being outcomes, including increased positive emotions and subjective vitality27,33. A recent study on a sample of park visitors found that a higher level of habitual use of cognitive reappraisal was significantly and directly associated with pro-environmental behavior, and indirectly associated with this outcome through the experience of “being away”29. These results suggest that cognitive reappraisal can make individuals more sensitive to the natural environment, and thus potentially receive more affective benefits. Although virtual nature experiences have been shown to generate benefits that are smaller than in situ experiences in nature8, we predicted that VR nature exposures would increase subjective vitality more for participants with higher tendencies to cognitive reappraise in general.

The present study

To the best of our knowledge, no previous study has investigated the moderating role of participants’ habitual use of cognitive reappraisal on the efficacy of virtual nature in enhancing subjective vitality. In this study, we hypothesize that virtual natural environments, namely a national park, a lacustrine environment, and an arctic environment would be significantly more efficient than a virtual urban environment in enhancing subjective vitality (hypothesis 1). Moreover, we hypothesize that these effects would be particularly high for those with high (vs. low) levels of habitual use of cognitive reappraisal (hypothesis 2).

To test our hypotheses, we conducted an experiment with four conditions (one per environment), measuring pre- and post-exposure levels of subjective vitality as well as the habitual use of cognitive reappraisal measured pre-exposure. Moreover, we included some control variables to assess if participants were similar among conditions. In particular, we measured: (1) sociodemographic variables (age, gender, educational qualification, marital status, and employment status), (2) personal conditions and individual differences that can interfere with virtual nature appreciation and subjective vitality levels (environmental identity and perceived stress in the previous month)34,35, (3) type of environment the participant lives in that may influence their perceptions or preference of nature, and hence the effects36, and (4) variables that may impact the VR experience itself (previous VR experience, the brightness of the images shown, sense of presence, and motion sickness4,6).

Results

Preliminary analysis

First, we compared the level of each control variable per condition to check whether the distribution of the participants was the same between groups. To this end, we performed a series of one-way ANOVAs and chi-squared tests. Regarding the main model variables, results of two one-way ANOVAs showed that participants did not differ per level of subjective vitality pre-exposure F(3, 183) = 1.05, p = 0.370, η2p = 0.017, nor per level of habitual use of cognitive reappraisal F(3, 183) = 0.94, p = 0.423, η2p = 0.015. Moreover, participants did not differ in other important characteristics such as sociodemographic variables. Indeed, a one-way ANOVA indicated that participants did not differ by age F(3, 181) = 1.60, p = 0.192, η2p = 0.026, while a series of chi-square tests revealed that the distribution of participants was balanced for gender χ2 (3, 185) = 0.47, p = 0.925, educational qualification χ2 (3, 187) = 5.95, p = 0.114, marital status χ2 (3, 187) = 3.53, p = 0.317, and employment status χ2 (3, 187) = 1.91, p = 0.591. Participants were similar also in their levels of environmental identity F(3, 183) = 0.54, p = 0.653, η2p = 0.009, perceived stress F(3, 183) = 1.35, p = 0.259, η2p = 0.022, and equally distributed per type of environment they live in χ2 (3, 187) = 1.14, p = 0.767, and previous VR experience χ2 (3, 187) = 0.619, p = 0.892. Lastly, our analysis revealed that participants reported similar experiences regarding some specifics of the VR exposures across conditions, as they rated similarly across conditions the brightness of the images shown F(3, 183) = 0.65, p = 0.587, η2p = 0.010, the sense of presence F(3, 183) = 0.67, p = 0.574, η2p = 0.011, and the motion sickness F(3, 183) = 1.57, p = 0.198, η2p = 0.025 experienced.

Moderation analysis

We then proceeded to test our hypotheses. To this end, we conducted a moderation analysis with a multicategorical independent variable (i.e., the condition) using the IBM SPSS macro PROCESS37. In particular, we added the condition as the independent variable, the post-exposure subjective vitality as the outcome, and the general propensity to use cognitive reappraisal as the moderator. Following the recommendations for pre-post experimental designs38, we included the pre-exposure subjective vitality as a covariate. The estimated 95% (percentile bootstrap) confidence intervals were based on a bootstrapping procedure with 5000 bootstrap samples.

According to the indications by Hayes and Montoya39 for a moderation analysis with a multicategorical independent variable, we set the condition variable as an indicator in PROCESS. Thus, the park condition, the lacustrine condition, and the arctic condition were coded as dummy variables with a value of 1 if a case was in that condition and 0 if otherwise. We set the urban condition as the reference (i.e., control) group. In this way, the urban condition received a code of 0 on the park condition, the lacustrine condition, and the arctic condition (see Table 1).

Table 1.

The indicator coding system used for the multicategorical independent variable "condition".

Urban condition (control) Park condition Lacustrine condition Arctic condition
Park condition 0 1 0 0
Lacustrine condition 0 0 1 0
Arctic condition 0 0 0 1
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As a multicategorical moderation analysis, the results include estimated effects for each natural condition as compared to the reference group (i.e., the urban condition) on the outcome as well as their interaction effects with the moderator cognitive reappraisal. Because of our coding system, the estimated effects are the adjusted mean differences in the outcome between each natural condition and the reference group (i.e., urban), holding the covariate constant (i.e., at mean levels39).

The model explained a significant portion of the variance of the outcome R2 = 0.43, F = 16.85, p < 0.001. As can be seen in Table 2, all three natural environments resulted in increases in subjective vitality vs. the urban environment. Additionally, two out of three interactions were significant, namely those of lacustrine and arctic environments with cognitive reappraisal. Simple slope analysis revealed that at low levels (− 1 SD) of cognitive reappraisal, both effects were nonsignificant (for the lacustrine condition: b = 0.04, SE = 0.26, p = 0.888, for the arctic condition: b = 0.25, SE = 0.24, p = 0.311), while, at high levels (+ 1 SD) they were both positive and significant (for the lacustrine condition: b = 0.92, SE = 0.23, p < 0.001, for the arctic condition: b = 0.98, SE = 0.26, p < 0.001). See Fig. 1 for a graphical representation of the simple slopes.

Table 2.

Results of the moderation analysis including the main effects of each predictor, the interaction effects, and the effect of the covariate on subjective vitality.

b SE b [95% CI] p
Park condition 0.38 0.18 [0.04, 0.73] 0.029
Lacustrine condition 0.48 0.17 [0.14, 0.82] 0.006
Arctic condition 0.61 0.18 [0.27, 0.96] 0.001
Cognitive reappraisal − 0.16 0.10 [− 0.35, 0.03] 0.096
Park condition × Cognitive reappraisal 0.24 0.14 [− 0.02, 0.51] 0.074
Lacustrine condition × Cognitive reappraisal 0.35 0.14 [0.08, 0.63] 0.013
Arctic condition × Cognitive reappraisal 0.29 0.14 [0.01, 0.57] 0.041
Subjective vitality (pre-exposure) 0.60 0.06 [0.48, 0.72] < 0.001
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Significant values are in bold.

Figure 1.

Figure 1

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Graphical representation of the simple slope analysis. CR cognitive reappraisal.

See Fig. 2 for a graphical representation of summary statistics and the density of subjective vitality post-exposure by condition.

Figure 2.

Figure 2

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Violin and box plots with data points that graphically represent summary statistics and the density of subjective vitality post-exposure by condition.

Discussion

The psychological benefits of virtual nature exposure are drawing increasing attention from the research community and health professionals. Nevertheless, although growing evidence points to the use of the VR medium as an effective substitute for outdoor nature exposure when access to the latter is hindered or impossible, little is known about the cases in which virtual nature could be more vs. less effective, or even not effective at all. These effects may vary depending upon different types of virtual nature to which people are exposed, as well as individual difference in the people themselves. In this study, we aimed at investigating the role of a possible moderator, namely general tendencies to engage in cognitive reappraisal, as it may play a role in the ways in which participants experience natural environments, including the engagement of aspects of involuntary attention such as “being away” that lead to restoration29,40. To investigate this, we designed an experiment in which we exposed participants to different natural environments as well as an urban one (as a control). We measured pre- and post-exposure levels of subjective vitality and general levels of habitual use of cognitive reappraisal.

Our first hypothesis was that exposure to virtual natural (vs. urban) environments would increase subjective vitality. Our results confirmed this hypothesis. Specifically, all three types of natural environments presented, namely the park, the lacustrine, and the arctic, were all significantly more effective than the urban environment in increasing levels of subjective vitality. The potential of virtual nature to increase subjective vitality has been found by other researchers as well17,18,23,41. A contribution that our findings offer here is the demonstration of how different types of nature may have different magnitudes of effects. Other types of natural environments such as deserts, high mountains, and other landscapes should be incorporated into future studies, as they may show different results as well.

Our second hypothesis was that individuals who make habitual use of cognitive reappraisal would experience greater increases in subjective vitality from the virtual natural (vs. urban) environments than those who do not. This hypothesis was partially confirmed. We found this “boosting effect” of the habitual use of cognitive reappraisal only in the lacustrine and arctic (and not the park) environments. In these conditions, findings demonstrated that for those who make no habitual use of cognitive reappraisal, the effect of virtual nature exposure on subjective vitality disappeared, while for those with high levels of habitual use of cognitive reappraisal, virtual nature exposure exerted a positive effect on subjective vitality. These findings confirm that cognitive reappraisal can facilitate increases in subjective vitality from at least some types of nature exposure—results that have practical implications for applications of VR in improving well-being. Future research should extend this investigation to include other affective and cognitive outcomes.

As we state above, we did not find the interaction effect for the park. This result should also be investigated further to understand the reasons behind it. It may be the case that cognitive reappraisal plays less of a moderating role when presented with more familiar natural environments. We can speculate that participants were less acquainted with a lacustrine or arctic environment than a park one. The sensitivity to surroundings that is associated with the habitual use of cognitive reappraisal27,29 may play a more significant role during exposure to unfamiliar natural environments, helping to enhance awareness of the unusual experience and thereby lead to increased subjective vitality. In contrast, paying less attention and having less control over the meaning of a situation during virtual nature exposure to unfamiliar environments could lead to missing out on these benefits42. Of course, these are speculations that need further consideration and future studies should investigate these possibilities.

Lastly, although beyond the scope of our research, it is interesting to note that in our study the main effect of cognitive reappraisal on subjective vitality was nonsignificant (p = 0.096), suggesting that, in our experiment, cognitive reappraisal alone did not determine changes in subjective vitality. Instead it was the interaction of cognitive reappraisal with the type of environment that was significantly associated with observed changes in this outcome. This result suggests that the habitual use of cognitive reappraisal is not enough to determine higher subjective vitality after VR exposure in general, but that it is the cognitive reappraisal interaction with the type of environment (i.e., lacustrine and arctic) that makes the difference. Future studies may extend this study to different types of non-natural VR environments to test whether cognitive reappraisal may also have a role in VR exposure to other kinds of environments apart from the natural ones, as well as the potential mechanisms underlying these differences (e.g., familiar vs. unfamiliar environments as suggested previously).

This study is not free of limitations. First, we used a sample of social psychology students to test our hypotheses, with a gender imbalance (i.e., the majority of participants were women). Future efforts should be directed to replicate these results in other populations and more balanced samples by gender to allow the generalizability of the findings. Second, as recently highlighted6, short-term outcomes of VR are promising but future research should also address whether the changes observed hold in the long term, to enlarge the potential implications for interventions. In this regard, it could be important to examine not just the role of cognitive reappraisal in boosting post-exposure subjective vitality but also in sustaining it over time (e.g., after hours, days, weeks). Third, we choose to use 360° panoramic photos to expose participants to the different environments. Future research may replicate our results with 360° videos. Fourth, some studies suggest that auditory and olfactory stimuli can amplify the effects of VR exposure5,43. Future studies could integrate these additional stimuli into our methodology and test whether the habitual use of cognitive reappraisal may enhance the benefit associated with multisensory exposures. Fifth, in our study, we focused on the adaptive emotion regulation strategy of cognitive reappraisal. Future research may investigate the role of other emotion regulation strategies, both adaptive and maladaptive, in post-exposure subjective vitality. Lastly, in the future, it could be interesting to study whether adaptive emotion regulation strategies such as cognitive reappraisal may diminish post-exposure negative emotions (characterized by both high and low activation44,45) to certain virtual environments (e.g., stressful environments) or for certain individuals (e.g., with high resistance to new technologies), as well as the impact on positive emotions characterized by low activation (e.g., contentment44).

Despite these limitations, compared to previous studies on virtual nature6, our study has some important strengths such as a relatively large sample size, a methodological approach that controlled for different possible confounding variables found in the literature, the comparison between different natural environments that includes an under-investigated environment such as the arctic environment, and a focus on the moderators behind virtual nature benefits. To our knowledge, this is the first study to integrate all these features in one study. Importantly, if future studies will confirm our findings there could be important practical implications. Indeed, subjective vitality has been demonstrated to be important in sustaining changes in unhealthy lifestyles such as smoking cessation46, promoting motivation to change during psychotherapeutic programs47, coping during stressful home confinement48, and encouraging adjustment at work15,49,50. In all these cases, an intervention that integrates virtual nature exposure could be effective.

However, caution should be paid when designing those interventions. Indeed, our study highlights how virtual nature may be ineffective for those with low levels of habitual use of cognitive reappraisal. A variety of different strategies are employable to address this. For instance, levels of cognitive reappraisal could be measured before the beginning of an intervention. For those with low levels of habitual use of this emotion regulation strategy, training could be designed and implemented to increase its general use, in order to improve the efficacy of the VR nature exposures.

Conclusion

An increasing number of studies have shown that exposure to nature throughVR can provide health benefits, especially in those cases when outdoor exposure is difficult or not possible6,11,51. This study is the first to have investigated the moderating role of habitual use of cognitive reappraisal in relation to these effects. Research on the benefits associated with virtual nature is not new; however, it has drawn growing attention during the last years, especially after the pandemic and the lowering of prices of VR equipment that has extended its usage to more people. Nevertheless, our study points out how this extension in the usage of virtual nature should not automatically lead to an assumption regarding the extension of its benefits. People are different and some individuals, more than others, may experience relatively fewer of these effects. Our study is one of the first to highlight that. Following this line of research, other studies are needed to enhance the possible applications of virtual nature and to extend them to more people.

Methods

Participants and procedure

To test our hypotheses, we conducted an experiment with a between-subject design and four conditions. An initial sample of 204 students agreed to take part in the study by giving their informed consent, of which 9 did not meet the eligibility criteria or lost contact (see Fig. 3 for a representation of participant recruitment). Anonymity was assured to all participants. They obtained extra course credit for participating. The experimental procedure was structured as follows. There were two measurement times: pre-exposure and post-exposure. To verify participants’ attention, we used two attention checks52, one in the pre-exposure questionnaire (i.e., «Please select the answer 5») and one in the post-exposure questionnaire (i.e., «This question is to check the attention of the respondent, if you are attentive please answer 4»). Of the total sample, 7 (3.6%) did not answer correctly to the first attention check and 1 (0.5%) failed the second attention check; thus, they were excluded from further analysis (see Fig. 3).

Figure 3.

Figure 3

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Participants recruitment process.

The final sample was composed of 187 participants (Mage = 21.17, SD = 2.55), of whom 150 (80.2%) were women, 35 (18.7%) were men, and 2 (1.1%) were missing. The majority of participants held a high school diploma namely 148 (79.1%), while 39 (20.9%) held a degree or higher qualification. Approximately half of the sample, namely 101 (54.0%), were in a relationship whereas 86 (46.0%) were single. Lastly, 133 (71.1%) participants were nonworking students and 54 (28.9%) were working students.

During a social psychology class, the study was presented to the students. Students who voluntarily agreed to participate were then contacted by research assistants to book an appointment and were informed about the Covid-19 related procedures to be adopted during the experiment as well as the study’s eligibility criteria. In particular, they were discouraged to participate in the experiment if any of the VR contraindications were present (e.g., epilepsy, pacemaker usage).

Each participant was randomly assigned to one of the four experimental conditions, one for each type of virtual environment presented: (1) an urban environment (urban condition); (2) a national park (park condition); (3) a natural area with a lake (lacustrine condition); and (4) an arctic environment (arctic condition). The exposure took place through an HMD for VR, namely the Oculus Quest 2. Through the HMD, participants were asked to watch four 360° panoramic photos for each environment. The photos were taken by the experimenters (see 10.17605/osf.io/puhrj for an example of a photo per environment). Based on research conducted on previous experiments with VR that were similar to ours5,53,54, the time for each photo exposure was established at one minute per image, four minutes in total. The final numbers of participants for each group were: 47 for the urban condition, 46 for the park condition, 48 for the lacustrine condition, and 46 for the arctic condition (see Fig. 3).

At the laboratory, participants were invited to sign the informed consent for the experiment. Then, they were invited to fill out the first questionnaire. After this phase, students were presented with the immersive photos through the HMD. Participants wore protective eye masks, a protective cap, and surgical masks for the duration of exposure. They were asked to stand still, watch the images, and turn their head around to explore the environment. Research assistants were present throughout the VR exposure to assist participants if needed. After this phase, participants were asked to complete the second questionnaire. Then they were thanked, debriefed, and dismissed. See Fig. 4 for a graphical representation of the experimental procedure.

Figure 4.

Figure 4

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The experimental procedure.

Measures

In the pre-exposure questionnaire, we measured cognitive reappraisal, the baseline level of subjective vitality along with environmental identity and perceived stress. In the post-exposure questionnaire, we measured the post-exposure level of subjective vitality and the remaining control variables (i.e., sociodemographic variables, type of environment the participant lives in, and variables related to participants' experience during the VR exposure).

Main variables

Subjective vitality

Pre- and post-exposure subjective vitality was measured using the state subjective vitality scale12,55, composed of 7 items. An example of an item is "At this moment, I feel alive and vital". The response scale ranged from 1 (not true at all) to 7 (very true). Cronbach’s alpha was 0.83 for both the pre- and post-exposure questionnaires.

Cognitive reappraisal

Cognitive reappraisal was assessed using the Emotion Regulation Questionnaire in its Italian version56. The scale is composed of 6 items (e.g., “When I’m faced with a stressful situation, I make myself think about it in a way that helps me stay calm”). The response scale ranged from 1 (strongly disagree) to 7 (strongly agree). Cronbach’s alpha was 0.94.

Control variables

Sociodemographic variables

We collected information on age, gender (non-binary, women, men), education qualification (high school diploma, degree or higher qualification), marital status (single, in a relationship), and employment status (i.e., “Are you a working student?”: no, yes).

Environmental identity

Environmental identity was assessed using the one-item measure called Inclusion of Nature in Self (INS)57 (i.e., "Below, please choose the pictures which best describe your relationship with the natural environment"). The measure provides seven possible answers (from 1 to 7) each displaying two circles progressively overlapping, representing nature and the self respectively. Higher scores indicate higher environmental identity.

Perceived stress

To measure perceived stress in the previous month, we used four items of the original Perceived Stress Scale (PSS)58. An example of an item is "In the last month, how often have you felt that you were unable to control the important things in your life?". The response scale ranged from 0 (never) to 4 (very often). Cronbach’s alpha was 0.82.

Type of environment the participant lives in

One question was used to assess the type of environment the participant lives in. The item was “Where do you live most of the time?”, with possible answers “House in an urban context” and “House in a natural environment”.

Previous VR experience

Based on previous studies, we used one item namely “Is this your first time experimenting with immersive virtual reality (with a headset or goggles)?", with possible answers "no" and "yes".

Brightness of the images

To control for possible differences in the brightness of the images we used one item, i.e., "How would you rate the brightness of the images shown?". The response scale ranged from 1 (very bad brightness) to 10 (excellent brightness).

Sense of presence

To measure the sense of presence we used the 14-item Igroup Presence Questionnaire (IPQ)59. The items were adapted to refer to 360° panoramic photos and two items (applicable only to computer-generated worlds) were excluded. Cronbach’s alpha was 0.83.

Motion sickness

To assess motion sickness, we used the 16-item Motion Sickness Assessment Questionnaire (MSAQ)60. In this study, we used the total score computed as suggested by Gianaros and colleagues. Cronbach’s alpha was 0.86.

Ethics declarations

The study was approved by the institutional ethics committee of the European University of Rome (protocol n. 11/2021). All methods were performed in accordance with the Declaration of Helsinki for studies involving human participants.

Acknowledgements

This work was carried out under the project “Establishing Urban FORest based solutions in Changing Cities” (EUFORICC) and financially supported by the Ministry of Education, University and Research (MIUR) of Italy (PRIN 20173RRN2S).

Author contributions

A.T. and A.P. contributed to the conceptualization of the study and designed the experiment; A.T. wrote the original manuscript, organized the data, and performed the statistical analysis; G.Sp. wrote the original manuscript; C.I. and A.P. acquired the resources for the research stimuli; K.M. collected the arctic material; G.Sa., G.C. and A.P. were the project administrators and acquired the necessary fundings; G.Sa., G.N.B., C.I. and A.P. contributed to the manuscript revision; A.P. supervised. All authors read and approved the submitted version.

Data availability

The datasets generated during and/or analyzed during the current study are available in the Open Science Framework (OSF) repository, 10.17605/osf.io/mjbfd.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Annalisa Theodorou, Email: annalisa.theodorou@uniroma3.it.

Angelo Panno, Email: angelo.panno@unier.it.

References

  • 1.Bratman GN, Olvera-Alvarez HA, Gross JJ. The affective benefits of nature exposure. Soc. Personal. Psychol. Compass. 2021;15:e12630. doi: 10.1111/spc3.12630. [DOI] [Google Scholar]
  • 2.Li H, et al. Can viewing nature through windows improve isolated living? A pathway analysis on Chinese male prisoners during the COVID-19 epidemic. Front. Psychiatry. 2021;12:2041. doi: 10.3389/fpsyt.2021.720722. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Nejati A, Rodiek S, Shepley M. Using visual simulation to evaluate restorative qualities of access to nature in hospital staff break areas. Landsc. Urban Plan. 2016;148:132–138. doi: 10.1016/j.landurbplan.2015.12.012. [DOI] [Google Scholar]
  • 4.Mostajeran F, Krzikawski J, Steinicke F, Kühn S. Effects of exposure to immersive videos and photo slideshows of forest and urban environments. Sci. Rep. 2021;11:3994. doi: 10.1038/s41598-021-83277-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Hedblom M, et al. Reduction of physiological stress by urban green space in a multisensory virtual experiment. Sci. Rep. 2019;9:10113. doi: 10.1038/s41598-019-46099-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Spano, G. et al.Virtual nature and psychological outcomes: A systematic review.10.31219/osf.io/8ux9a (2022).
  • 7.White MP, et al. A prescription for ‘nature’—The potential of using virtual nature in therapeutics. Neuropsychiatr. Dis. Treat. 2018;14:3001–3013. doi: 10.2147/NDT.S179038. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Browning MHEM, et al. An actual natural setting improves mood better than its virtual counterpart: A meta-analysis of experimental data. Front. Psychol. 2020;11:2200. doi: 10.3389/fpsyg.2020.02200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Spangenberger P, Geiger SM, Freytag S-C. Becoming nature: Effects of embodying a tree in immersive virtual reality on nature relatedness. Sci. Rep. 2022;12:1311. doi: 10.1038/s41598-022-05184-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Yin J, Bratman GN, Browning MHEM, Spengler JD, Olvera-Alvarez HA. Stress recovery from virtual exposure to a brown (desert) environment versus a green environment. J. Environ. Psychol. 2022;81:101775. doi: 10.1016/j.jenvp.2022.101775. [DOI] [Google Scholar]
  • 11.Lakhani A, et al. What is the impact of engaging with natural environments delivered via virtual reality on the psycho-emotional health of people with spinal cord injury receiving rehabilitation in hospital? Findings from a pilot randomized controlled trial. Arch. Phys. Med. Rehabil. 2020;101:1532–1540. doi: 10.1016/j.apmr.2020.05.013. [DOI] [PubMed] [Google Scholar]
  • 12.Ryan RM, Frederick C. On energy, personality, and health: Subjective vitality as a dynamic reflection of well-being. J. Pers. 1997;65:529–565. doi: 10.1111/j.1467-6494.1997.tb00326.x. [DOI] [PubMed] [Google Scholar]
  • 13.Nix GA, Ryan RM, Manly JB, Deci EL. Revitalization through self-regulation: The effects of autonomous and controlled motivation on happiness and vitality. J. Exp. Soc. Psychol. 1999;35:266–284. doi: 10.1006/jesp.1999.1382. [DOI] [Google Scholar]
  • 14.Bertrams A, Dyllick TH, Englert C, Krispenz A. German adaptation of the subjective vitality scales (SVS-G) Open Psychol. 2020;2:57–75. doi: 10.1515/psych-2020-0005. [DOI] [Google Scholar]
  • 15.Dubreuil P, Forest J, Courcy F. From strengths use to work performance: The role of harmonious passion, subjective vitality, and concentration. J. Posit. Psychol. 2014;9:335–349. doi: 10.1080/17439760.2014.898318. [DOI] [Google Scholar]
  • 16.Swencionis C, et al. Weight change, psychological well-being, and vitality in adults participating in a cognitive–behavioral weight loss program. Health Psychol. 2013;32:439. doi: 10.1037/a0029186. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Mattila O, et al. Restoration in a virtual reality forest environment. Comput. Human Behav. 2020;107:106295. doi: 10.1016/j.chb.2020.106295. [DOI] [Google Scholar]
  • 18.Reese G, Stahlberg J, Menzel C. Digital shinrin-yoku: Do nature experiences in virtual reality reduce stress and increase well-being as strongly as similar experiences in a physical forest? Virtual Real. 2022 doi: 10.1007/s10055-022-00631-9. [DOI] [Google Scholar]
  • 19.Shrestha T, Di Blasi Z, Cassarino M. Natural or urban campus walks and vitality in university students: Exploratory qualitative findings from a pilot randomised controlled study. Int. J. Environ. Res. Public Health. 2021;18:2003. doi: 10.3390/ijerph18042003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Li H, et al. Beyond “bluespace” and “greenspace”: A narrative review of possible health benefits from exposure to other natural landscapes. Sci. Total Environ. 2023;856:159292. doi: 10.1016/j.scitotenv.2022.159292. [DOI] [PubMed] [Google Scholar]
  • 21.Bielinis E, Takayama N, Boiko S, Omelan A, Bielinis L. The effect of winter forest bathing on psychological relaxation of young Polish adults. Urban For. Urban Green. 2018;29:276–283. doi: 10.1016/j.ufug.2017.12.006. [DOI] [Google Scholar]
  • 22.Tyrväinen L, et al. The influence of urban green environments on stress relief measures: A field experiment. J. Environ. Psychol. 2014;38:1–9. doi: 10.1016/j.jenvp.2013.12.005. [DOI] [Google Scholar]
  • 23.Theodorou, A. et al. Different types of virtual natural environments enhance subjective vitality through restorativeness. J. Environ. Psychol.. 10.1016/j.jenvp.2023.101981 (2023).
  • 24.Korpela KM, et al. Environmental strategies of affect regulation and their associations with subjective well-being. Front. Psychol. 2018;9:562. doi: 10.3389/fpsyg.2018.00562. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Korpela KM. Adolescents’ favourite places and environmental self-regulation. J. Environ. Psychol. 1992;12:249–258. doi: 10.1016/S0272-4944(05)80139-2. [DOI] [Google Scholar]
  • 26.Richardson M. Beyond restoration: Considering emotion regulation in natural well-being. Ecopsychology. 2019;11:123–129. doi: 10.1089/eco.2019.0012. [DOI] [Google Scholar]
  • 27.Gross JJ, John OP. Individual differences in two emotion regulation processes: Implications for affect, relationships, and well-being. J. Pers. Soc. Psychol. 2003;85:348–362. doi: 10.1037/0022-3514.85.2.348. [DOI] [PubMed] [Google Scholar]
  • 28.Panno A, Carrus G, Maricchiolo F, Mannetti L. Cognitive reappraisal and pro-environmental behavior: The role of global climate change perception. Eur. J. Soc. Psychol. 2015;45:858–867. doi: 10.1002/ejsp.2162. [DOI] [Google Scholar]
  • 29.Panno A, et al. Nature reappraisers, benefits for the environment: A model linking cognitive reappraisal, the “being away” dimension of restorativeness and eco-friendly behavior. Front. Psychol. 2020;11:1986. doi: 10.3389/fpsyg.2020.01986. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Dryman MT, Heimberg RG. Emotion regulation in social anxiety and depression: A systematic review of expressive suppression and cognitive reappraisal. Clin. Psychol. Rev. 2018;65:17–42. doi: 10.1016/j.cpr.2018.07.004. [DOI] [PubMed] [Google Scholar]
  • 31.Wallace-Hadrill SMA, Kamboj SK. The impact of perspective change as a cognitive reappraisal strategy on affect: A systematic review. Front. Psychol. 2016;7:1715. doi: 10.3389/fpsyg.2016.01715. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Panno A, et al. The psychological impact of the COVID-19 lockdown in Italy: The moderating role of gender and emotion regulation. Health Care Women Int. 2022 doi: 10.1080/07399332.2022.2083622. [DOI] [PubMed] [Google Scholar]
  • 33.Louis AC, Rapaport M, ChénardPoirier L, Vallerand RJ, Dandeneau S. On emotion regulation strategies and well-being: The role of passion. J. Happiness Stud. 2021;22:1791–1818. doi: 10.1007/s10902-020-00296-8. [DOI] [Google Scholar]
  • 34.Clayton S. Identity and the Natural Environment: The Psychological Significance of Nature. The MIT Press; 2003. [Google Scholar]
  • 35.Miksza P, Evans P, McPherson GE. Wellness among university-level music students: A study of the predictors of subjective vitality. Music Sci. 2021;25:143–160. doi: 10.1177/1029864919860554. [DOI] [Google Scholar]
  • 36.Dearden P. Factors influencing landscape preferences: An empirical investigation. Landsc. Plan. 1984;11:293–306. doi: 10.1016/0304-3924(84)90026-1. [DOI] [Google Scholar]
  • 37.Hayes AF. Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-based Approach. Guilford Press; 2018. [Google Scholar]
  • 38.Senn S. Change from baseline and analysis of covariance revisited. Stat. Med. 2006;25:4334–4344. doi: 10.1002/sim.2682. [DOI] [PubMed] [Google Scholar]
  • 39.Hayes AF, Montoya AK. A tutorial on testing, visualizing, and probing an interaction involving a multicategorical variable in linear regression analysis. Commun. Methods Meas. 2017;11:1–30. doi: 10.1080/19312458.2016.1271116. [DOI] [Google Scholar]
  • 40.Kaplan S. The restorative benefits of nature: Toward an integrative framework. J. Environ. Psychol. 1995;15:169–182. doi: 10.1016/0272-4944(95)90001-2. [DOI] [Google Scholar]
  • 41.Reese, G., Mehner, M., Nelke, I., Stahlberg, J. & Menzel, C. Into the wild … or not: Virtual nature experiences benefit well-being regardless of human-made structures in nature. Front. Virtual Real.3, 952073. 10.3389/frvir.2022.952073 (2022).
  • 42.Browning MHEM, Alvarez HAO. Editorial commentary: Scanning for threats and natural environments giving our reptilian brains a break. Trends Cardiovasc. Med. 2020;30:247–248. doi: 10.1016/j.tcm.2019.07.006. [DOI] [PubMed] [Google Scholar]
  • 43.Schebella MF, Weber D, Schultz L, Weinstein P. The nature of reality: Human stress recovery during exposure to biodiverse, multisensory virtual environments. Int. J. Environ. Res. Public Health. 2019;17:56. doi: 10.3390/ijerph17010056. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Russell JA. A circumplex model of affect. J. Pers. Soc. Psychol. 1980;39:1161–1178. doi: 10.1037/h0077714. [DOI] [Google Scholar]
  • 45.Storbeck J, Clore GL. Affective arousal as information: How affective arousal influences judgments, learning, and memory. Soc. Personal. Psychol. Compass. 2008;2:1824–1843. doi: 10.1111/j.1751-9004.2008.00138.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Niemiec CP, Ryan RM, Patrick H, Deci EL, Williams GC. The energization of health-behavior change: Examining the associations among autonomous self-regulation, subjective vitality, depressive symptoms, and tobacco abstinence. J. Posit. Psychol. 2010;5:122–138. doi: 10.1080/17439760903569162. [DOI] [Google Scholar]
  • 47.Ryan RM, Deci EL. A self-determination theory approach to psychotherapy: The motivational basis for effective change. Can. Psychol. 2008;49:186–193. doi: 10.1037/a0012753. [DOI] [Google Scholar]
  • 48.Arslan G, Yıldırım M, Aytaç M. Subjective vitality and loneliness explain how coronavirus anxiety increases rumination among college students. Death Stud. 2022;46:1042–1051. doi: 10.1080/07481187.2020.1824204. [DOI] [PubMed] [Google Scholar]
  • 49.Collie RJ. Job demands and resources, teachers’ subjective vitality, and turnover intentions: An examination during COVID-19. Educ. Psychol. 2022 doi: 10.1080/01443410.2022.2036323. [DOI] [Google Scholar]
  • 50.Kark R, Carmeli A. Alive and creating: The mediating role of vitality and aliveness in the relationship between psychological safety and creative work involvement. J. Organ. Behav. 2009;30:785–804. doi: 10.1002/job.571. [DOI] [Google Scholar]
  • 51.Je H, Lee Y. Therapeutic effects of interactive experiences in virtual gardens: Physiological approach using electroencephalograms. J. Digit. Landsc. Archit. 2020;2020:422–429. [Google Scholar]
  • 52.Oppenheimer DM, Meyvis T, Davidenko N. Instructional manipulation checks: Detecting satisficing to increase statistical power. J. Exp. Soc. Psychol. 2009;45:867–872. doi: 10.1016/j.jesp.2009.03.009. [DOI] [Google Scholar]
  • 53.Gao T, Liang H, Chen Y, Qiu L. Comparisons of landscape preferences through three different perceptual approaches. Int. J. Environ. Res. Public Health. 2019;16:4754. doi: 10.3390/ijerph16234754. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Gao T, Zhang T, Zhu L, Gao Y, Qiu L. Exploring psychophysiological restoration and individual preference in the different environments based on virtual reality. Int. J. Environ. Res. Public Health. 2019;16:3102. doi: 10.3390/ijerph16173102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Bostic TJ, Rubio MD, Hood M. A validation of the subjective vitality scale using structural equation modeling. Soc. Indic. Res. 2000;52:313–324. doi: 10.1023/A:1007136110218. [DOI] [Google Scholar]
  • 56.Balzarotti S. The emotion regulation questionnaire: Factor structure and measurement invariance in an Italian sample of community dwelling adults. Curr. Psychol. 2021;40:4918–4929. doi: 10.1007/s12144-019-00426-3. [DOI] [Google Scholar]
  • 57.Schultz PW. Psychology of Sustainable Development. Springer US; 2002. Inclusion with nature: The psychology of human–nature relations; pp. 61–78. [Google Scholar]
  • 58.Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J. Health Soc. Behav. 1983;24:385–396. doi: 10.13072/midss.461. [DOI] [PubMed] [Google Scholar]
  • 59.Schubert T, Friedmann F, Regenbrecht H. The experience of presence: Factor analytic insights. Presence Teleoperators Virtual Environ. 2001;10:266–281. doi: 10.1162/105474601300343603. [DOI] [Google Scholar]
  • 60.Gianaros PJ, Muth ER, Mordkoff JT, Levine ME, Stern RM. A questionnaire for the assessment of the multiple dimensions of motion sickness. Aviat. Sp. Environ. Med. 2001;72:115–119. [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets generated during and/or analyzed during the current study are available in the Open Science Framework (OSF) repository, 10.17605/osf.io/mjbfd.

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