Evidence map›Paper›PMID 36154715›Full record

ArticleHERD2023

Seasonal Variations in the Effectiveness of Immersive Virtual Nature.

Sigbjørn Litleskare, Giovanna Calogiuri

Abstract read
In one paragraph

Article in HERD, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Sigbjørn LitleskareDepartment of Public Health and Sport Sciences, Inland Norway University of Applied Sciences, Elverum, Norway.ORCID 0000-0001-8322-2837
Giovanna CalogiuriDepartment of Public Health and Sport Sciences, Inland Norway University of Applied Sciences, Elverum, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe aim of this study was to assess whether the outcomes of immersive virtual nature (IVN) varies between seasons.

backgroundIVN has received increased interest in recent years due to its potential applications within health and design. However, factors influencing people's responses to IVN are largely unknown. Seasons affect a variety of human processes and behaviors including levels of affect and blood pressure, also in the context of human-nature interactions. These seasonal variations might influence how people interact and respond to IVN, especially since IVN allow for representations of nature that are not representative of the current real-life season.

methodsA secondary analysis of data retrieved from two previous studies, which included three IVN conditions, was conducted. All IVNs represented late spring conditions. Measures included perceived environmental restorativeness, affect, enjoyment, heart rate, and blood pressure. A meta-analytic approach was used to assess whether there were consistent differences between participants who were exposed to the IVN in spring/summer (early June to mid-September) and autumn/winter (mid-September to December) across the three different conditions.

resultsThere was a consistent effect of season only for one component of affect (fatigue), with larger reductions in fatigue when exposed to IVN during autumn/winter compared to spring/summer. No other significant effects of season were observed.

conclusionIVNs are feasible to use across all seasons but might be more effective in reducing the feeling of fatigue during autumn and winter compared to other seasons.

Indexed as

FatigueHeart RateHumansSeasonsgreen exerciseimmersive virtual environmentsseasonalityvirtual green exercisevirtual reality

Identifiers

PMID36154715
PMCPMC9755693

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.