Cited by 7Virtual Reality Applications and ImpactsSocial Robot Interaction and HRITechnology Adoption and User Behaviour

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

Open access
García, Arturo S., Fernández-Sotos, Patricia, González, Pascual, Navarro, Elena, Rodriguez-Jimenez, Roberto, Fernández-Caballero, Antonio·2022·Frontiers in Psychology

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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3389/fpsyg.2022.934880

Cites

56 of 56 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

1 retracted

Flagged first, then by citations

Cited by

Sorted by citations

Authors
García, A. S., Fernández-Sotos, P., González, P., Navarro, E., Rodriguez-Jimenez, R., & Fernández-Caballero, A.
Affiliations
  • University of Castilla-La Mancha (ES)
  • Centro de Investigación Biomédica en Red de Salud Mental (ES)
Venue
Frontiers in Psychology
Published
2022-10-12
Volume
13
Pages
934880-934880
ISSN
1664-1078 (ISSN-L)
OpenAlex
W4304695082
Cited by
7
References
56
Citations by year
2026: 1 · 2025: 4 · 2024: 1 · 2023: 1
FWCI
0.74
Type
journal article
Language
en
Open access
Locations
  • Frontiers in Psychology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Agencia Estatal de Investigación (PID2020-115220RB-C21)
Topics
  • Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
Keywords
virtual humans, behavioral intention, mental health professionals, UTAUT2, technology acceptance, social cognition deficits, virtual reality therapy, schizophrenia, autism spectrum disorder, mood disorders, acquired brain injury

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review