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Computers in Human Behavior
Article . 2020 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Article . 2020 . Peer-reviewed
Data sources: Research.fi
DBLP
Article . 2020
Data sources: DBLP
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Restoration in a virtual reality forest environment

Authors: Osmo Mattila; Arto Korhonen; Essi Pöyry; Kaisa Hauru; Jani Holopainen; Petri Parvinen;

Restoration in a virtual reality forest environment

Abstract

Abstract The focus in this research was on the effects of restorative experiences in an immersive virtual reality (VR) forest environment. For 5 min one hundred participants used a VR application depicting a forest via a head-mounted display and headphones. The extent of the restorative effect on the participants was measured in terms of perceived restorative outcomes, vitality, and mood before and after using the VR application. After finding out that using the VR application improved the perceived restoration outcomes, vitality and mood of the participants, the perceived restoration of the VR environment was compared with experiences in physical forests. According to the results, the VR environment was generally perceived as restorative as the physical forest environments, and more fascinating and coherent. The results imply that VR technology could have an effective restorative function during a school or work day when there is no access to highly restorative natural environments. Knowledge about the restorative qualities of physical and virtual natural environments could be applied to develop both the virtual and physical environments that are currently available and where people have access to.

Country
Finland
Keywords

REFLECTION, STRESS RECOVERY, COMPONENTS, URBAN ENVIRONMENTS, Virtual reality, Restoration, BENEFITS, Immersion, Forest, HEALTH, PERCEIVED RESTORATIVENESS, Political science

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    171
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
171
Top 1%
Top 10%
Top 1%
Green