For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
3
views
104
references
 Top references
cited by
18
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
1 collections
    0
    shares
      64
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: not found

      Nature in virtual reality improves mood and reduces stress: evidence from young adults and senior citizens

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Large populations worldwide have been deprived from nature experiences due to mass quarantines and lockdowns during the COVID-19 pandemic, and face a looming mental health crisis. Virtual reality offers a safe and practical solution to increase nature exposure. This research examined the effects of virtual nature using a within-subject design with young adults (Study 1) and senior citizens (Study 2). Results from the young adult sample showed that walking in a virtual forest reduced negative affect due to enhanced nature connectedness, and reduced stress measured by heart rate. Consistently, the senior citizen sample reported improved positive affect due to enhanced nature connectedness after the virtual nature walk. Our findings unveil the underlying mechanism of how virtual nature may improve psychological well-being and demonstrated how virtual nature can be used as an intervention to promote mental health.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s10055-021-00604-4.

          Related collections

          Most cited references104

          • Record: found
          • Abstract: found
          • Article: not found

          Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.

          Franz Faul, Edgar Erdfelder, Axel Buchner … (2009)
          G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.
          Article 0 comments Cited 5018 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations.

            Reuben M. Baron, David A Kenny (1986)
            In this article, we attempt to distinguish between the properties of moderator and mediator variables at a number of levels. First, we seek to make theorists and researchers aware of the importance of not using the terms moderator and mediator interchangeably by carefully elaborating, both conceptually and strategically, the many ways in which moderators and mediators differ. We then go beyond this largely pedagogical function and delineate the conceptual and strategic implications of making use of such distinctions with regard to a wide range of phenomena, including control and stress, attitudes, and personality traits. We also provide a specific compendium of analytic procedures appropriate for making the most effective use of the moderator and mediator distinction, both separately and in terms of a broader causal system that includes both moderators and mediators.
            Article 0 comments Cited 4192 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Beyond Baron and Kenny: Statistical Mediation Analysis in the New Millennium

              Andrew Hayes (2009)
              Article 0 comments Cited 1146 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Contributors
                Lin Qiu:
                ORCID: http://orcid.org/0000-0002-3587-5371
                linqiu@ntu.edu.sg
                Journal
                Journal ID (nlm-ta): Virtual Real
                Journal ID (iso-abbrev): Virtual Real
                Title: Virtual Reality
                Publisher: Springer London (London )
                ISSN (Print): 1359-4338
                ISSN (Electronic): 1434-9957
                Publication date (Electronic): 26 November 2021
                Pages: 1-16
                Affiliations
                [1 ]GRID grid.59025.3b, ISNI 0000 0001 2224 0361, Division of Psychology, School of Social Sciences, , Nanyang Technological University, ; Singapore, Singapore
                [2 ]GRID grid.59025.3b, ISNI 0000 0001 2224 0361, Global Asia, Interdisciplinary Graduate School, , Nanyang Technological University, ; Singapore, Singapore
                [3 ]GRID grid.24515.37, ISNI 0000 0004 1937 1450, Division of Social Science, , The Hong Kong University of Science and Technology, ; Clear Water Bay, Kowloon, Hong Kong
                [4 ]GRID grid.59025.3b, ISNI 0000 0001 2224 0361, Nanyang Technological University, ; Singapore, Singapore
                Author information
                http://orcid.org/0000-0003-0804-8239
                http://orcid.org/0000-0002-3587-5371
                http://orcid.org/0000-0002-9442-0254
                http://orcid.org/0000-0002-0331-7850
                http://orcid.org/0000-0003-1485-1343
                http://orcid.org/0000-0003-1371-4945
                Article
                Publisher ID: 604
                DOI: 10.1007/s10055-021-00604-4
                PMC ID: 8617374
                PubMed ID: 34849087
                SO-VID: 45438a06-92cc-44f0-9c6b-c89a05a24ab3
                Copyright © © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021
                License:

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                Date received : 21 January 2021
                Date accepted : 2 November 2021
                Funding
                Funded by: Singapore Ministry of Education
                Award ID: AcRF Tier 1 Grant RG83/17
                Award Recipient :
                Funded by: Ageing Research Institute for Society and Education (ARISE), Nanyang Technological University (SG)
                Categories
                Subject: S.I.: Covid-19

                Keywords: virtual reality,nature,emotion,stress,well-being,mental health
                Data availability:
                Keywords: virtual reality, nature, emotion, stress, well-being, mental health

                Comments

                Comment on this article

                scite_

                Similar content64

                See all similar

                Cited by18

                See all cited by

                Most referenced authors1,534

                See all reference authors