Evidence map›Paper›PMID 40407625›Full record

ArticleVision (Basel, Switzerland)2025

Perception and Decision-Making in Virtual Telepsychology Spaces and Professionals.

Luis-Lucio Lobato Rincón, Maria Ángeles Medina Sánchez, Rubén Tovar Bordón

Abstract read
In one paragraph

Article in Vision (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Luis-Lucio Lobato RincónDepartment of Experimental Psychology, Cognitive Processes and Speech Therapy, University Complutense of Madrid, Campus de Somosaguas, Carretera de Húmera s/n, 28223 Pozuelo de Alarcón, Spain.ORCID 0000-0003-4910-4006
Maria Ángeles Medina SánchezDepartment of Statistics and Data Science, University Complutense of Madrid, Avda. Puerta de Hierro s/n Ciudad Universitaria, 28040 Madrid, Spain.ORCID 0000-0001-5162-8744
Rubén Tovar BordónIndependent Researcher, 28600 Navalcarnero, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humans interact with virtual environments for a variety of purposes, and the use of telemedicine services and e-health platforms has become increasingly significant in recent years. Telepsychology is an emerging service and is understood as the provision of psychological aid and counseling through the use of telecommunication technologies. This study investigates the impact of visual backgrounds in a mental health simulation app and explores the decision-making of potential patients for telepsychology. In this experimental study, we developed an instrument to assess the preferences for manipulated features of photomontages and portraits. A total of 310 participants from diverse backgrounds were surveyed about their preferences regarding visual backgrounds and silhouettes for this hypothetical service, with key independent variables such as complexity, naturalness, and color hues being manipulated. Our findings represent the first example of data collected on background preferences in telepsychology. The results suggest a preference for backgrounds with medium complexity and naturalness for clinical settings. Additionally, we observed variations in preferences based on gender and age. These findings highlight the importance of customizing visual elements to enhance patient engagement in telepsychology.

Indexed as

environmental psychologyspace perceptiontelepsychologyvirtual environmentsvisual decision-making

Identifiers

PMID40407625
PMCPMC12101369

What OpenQuestion holds

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LicenceCC BY
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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.