Evidence map›Paper›PMID 37112471›Full record

ArticleSensors (Basel, Switzerland)2023

Assessing Virtual Reality Spaces for Elders Using Image-Based Sentiment Analysis and Stress Level Detection.

Makrina Viola Kosti, Nefeli Georgakopoulou, Sotiris Diplaris, Theodora Pistola, Konstantinos Chatzistavros, Vasileios-Rafail Xefteris, Athina Tsanousa, Stefanos Vrochidis, Ioannis Kompatsiaris

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

9 authors.

Makrina Viola KostiCentre for Research and Technology Hellas, CERTH-ITI, 57001 Thermi, Thessaloniki, Greece.ORCID 0000-0002-0027-0153
Nefeli GeorgakopoulouCentre for Research and Technology Hellas, CERTH-ITI, 57001 Thermi, Thessaloniki, Greece.ORCID 0000-0002-0729-8992
Sotiris DiplarisCentre for Research and Technology Hellas, CERTH-ITI, 57001 Thermi, Thessaloniki, Greece.ORCID 0000-0002-9969-6436
Theodora PistolaCentre for Research and Technology Hellas, CERTH-ITI, 57001 Thermi, Thessaloniki, Greece.
Konstantinos ChatzistavrosCentre for Research and Technology Hellas, CERTH-ITI, 57001 Thermi, Thessaloniki, Greece.
Vasileios-Rafail XefterisCentre for Research and Technology Hellas, CERTH-ITI, 57001 Thermi, Thessaloniki, Greece.ORCID 0000-0002-7394-8412
Athina TsanousaCentre for Research and Technology Hellas, CERTH-ITI, 57001 Thermi, Thessaloniki, Greece.ORCID 0000-0001-6599-4446
Stefanos VrochidisCentre for Research and Technology Hellas, CERTH-ITI, 57001 Thermi, Thessaloniki, Greece.ORCID 0000-0002-2505-9178
Ioannis KompatsiarisCentre for Research and Technology Hellas, CERTH-ITI, 57001 Thermi, Thessaloniki, Greece.ORCID 0000-0001-6447-9020

Funding

European Commission 825079
6 · The paper itself

Abstract

Seniors, in order to be able to fight loneliness, need to communicate with other people and be engaged in activities to keep their minds active to increase their social capital. There is an intensified interest in the development of social virtual reality environments, either by commerce or by academia, to address the problem of social isolation of older people. Due to the vulnerability of the social group involved in this field of research, the need for the application of evaluation methods regarding the proposed VR environments becomes even more important. The range of techniques that can be exploited in this field is constantly expanding, with visual sentiment analysis being a characteristic example. In this study, we introduce the use of image-based sentiment analysis and behavioural analysis as a technique to assess a social VR space for elders and present some promising preliminary results.

Indexed as

Sentiment AnalysisVirtual RealityAgedHumansLonelinessSocial Isolationeldersfusionsentimentstressvirtual realityvisual analysis

Identifiers

PMID37112471
PMCPMC10141378

What OpenQuestion holds

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LicenceCC BY
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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.