Evidence map›Paper›PMID 29765676›Full record

ArticleRoyal Society open science2018

Using virtual reality to estimate aesthetic values of coral reefs.

Julie Vercelloni, Sam Clifford, M Julian Caley, Alan R Pearse, Ross Brown, Allan James, Bryce Christensen, Tomasz Bednarz, Ken Anthony, Manuel González-Rivero and 2 more

Abstract read
In one paragraph

Article in Royal Society open science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2023
    Article
  5. Review
  6. Article
  7. Article
  8. 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

12 authors.

Julie VercelloniARC Centre of Excellence in Mathematical and Statistical Frontiers, Queensland University of Technology, Brisbane, Australia.ORCID 0000-0001-5227-014X
Sam CliffordARC Centre of Excellence in Mathematical and Statistical Frontiers, Queensland University of Technology, Brisbane, Australia.
M Julian CaleyARC Centre of Excellence in Mathematical and Statistical Frontiers, Queensland University of Technology, Brisbane, Australia.
Alan R PearseARC Centre of Excellence in Mathematical and Statistical Frontiers, Queensland University of Technology, Brisbane, Australia.
Ross BrownSchool of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, Australia.
Allan JamesVisualisation and eResearch, Institute for Future Environments, Queensland University of Technology, Brisbane, Australia.
Bryce ChristensenVisualisation and eResearch, Institute for Future Environments, Queensland University of Technology, Brisbane, Australia.
Tomasz BednarzARC Centre of Excellence in Mathematical and Statistical Frontiers, Queensland University of Technology, Brisbane, Australia.
Ken AnthonyAustralian Institute of Marine Science, Townsville, Australia.
Manuel González-RiveroGlobal Change Institute, The University of Queensland, Brisbane, Australia.
Kerrie MengersenARC Centre of Excellence in Mathematical and Statistical Frontiers, Queensland University of Technology, Brisbane, Australia.
Erin E PetersonARC Centre of Excellence in Mathematical and Statistical Frontiers, Queensland University of Technology, Brisbane, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aesthetic value, or beauty, is important to the relationship between humans and natural environments and is, therefore, a fundamental socio-economic attribute of conservation alongside other ecosystem services. However, beauty is difficult to quantify and is not estimated well using traditional approaches to monitoring coral-reef aesthetics. To improve the estimation of ecosystem aesthetic values, we developed and implemented a novel framework used to quantify features of coral-reef aesthetics based on people's perceptions of beauty. Three observer groups with different experience to reef environments (Marine Scientist, Experienced Diver and Citizen) were virtually immersed in Australian's Great Barrier Reef (GBR) using 360° images. Perceptions of beauty and observations were used to assess the importance of eight potential attributes of reef-aesthetic value. Among these, heterogeneity, defined by structural complexity and colour diversity, was positively associated with coral-reef-aesthetic values. There were no group-level differences in the way the observer groups perceived reef aesthetics suggesting that past experiences with coral reefs do not necessarily influence the perception of beauty by the observer. The framework developed here provides a generic tool to help identify indicators of aesthetic value applicable to a wide variety of natural systems. The ability to estimate aesthetic values robustly adds an important dimension to the holistic conservation of the GBR, coral reefs worldwide and other natural ecosystems.

Indexed as

Bayesian modellingbeautyhuman senseslandscape changesmonitoringremote ecosystems

Identifiers

PMID29765676
PMCPMC5936941

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.