Evidence map›Paper›PMID 36312091›Full record

ArticleFrontiers in psychology2022

Behavioral intention of mental health practitioners toward the adoption of virtual humans in affect recognition training.

Arturo S García, Patricia Fernández-Sotos, Pascual González, Elena Navarro, Roberto Rodriguez-Jimenez, Antonio Fernández-Caballero

Abstract read
In one paragraph

Article in Frontiers in psychology, 2022. 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. Article
  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

6 authors.

Arturo S GarcíaUnidad Multidisciplinar de Investigación de la Neurocognición y Emoción en Entornos Virtuales y Reales, Instituto de Investigación en Informática de Albacete, Albacete, Spain.
Patricia Fernández-SotosServicio de Salud Mental, Complejo Hospitalario Universitario de Albacete, Albacete, Spain.
Pascual GonzálezUnidad Multidisciplinar de Investigación de la Neurocognición y Emoción en Entornos Virtuales y Reales, Instituto de Investigación en Informática de Albacete, Albacete, Spain.
Elena NavarroUnidad Multidisciplinar de Investigación de la Neurocognición y Emoción en Entornos Virtuales y Reales, Instituto de Investigación en Informática de Albacete, Albacete, Spain.
Roberto Rodriguez-JimenezBiomedical Research Networking Center in Mental Health (CIBERSAM), Madrid, Spain.
Antonio Fernández-CaballeroUnidad Multidisciplinar de Investigación de la Neurocognición y Emoción en Entornos Virtuales y Reales, Instituto de Investigación en Informática de Albacete, Albacete, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper explores the key factors influencing mental health professionals' behavioral intention to adopt virtual humans as a means of affect recognition training. Therapies targeting social cognition deficits are in high demand given that these deficits are related to a loss of functioning and quality of life in several neuropsychiatric conditions such as schizophrenia, autism spectrum disorders, affective disorders, and acquired brain injury. Therefore, developing new therapies would greatly improve the quality of life of this large cohort of patients. A questionnaire based on the second revision of the Unified Theory of Acceptance and Use of Technology (UTAUT2) questionnaire was used for this study. One hundred and twenty-four mental health professionals responded to the questionnaire after viewing a video presentation of the system. The results confirmed that mental health professionals showed a positive intention to use virtual reality tools to train affect recognition, as they allow manipulation of social interaction with patients. Further studies should be conducted with therapists from other countries to reach more conclusions.

Indexed as

affect recognitionmental healthsocial cognitiontechnology acceptanceUTAUT2virtual humans

Identifiers

PMID36312091
PMCPMC9600723

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.