Behavioral intention of mental health practitioners toward the adoption of virtual humans in affect recognition training
Year: 2022
Type: article
Study design: Observational Study
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.
Source: Frontiers in Psychology
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,950
Awards: G1175115578, G1261249418, G1341303, G1622782223, G210041235, G2262748287, G245602263, G2601397997, G2672435700, G2673512141, G2713276326, G300979063, G34346518, G3480869486, G3681454997, G3836713045, G4042783231, G410571670, G425668148, G4442677895, G451917667, G4526231891, G5080475149, G5195188938, G5539308778, G5967599077, G7084143925, G7495748125, G7599946676, G7803249223, G8684520763, G8696694383, G929308097
OpenAlex ID: W4304695082
