A Training Program of Differential Diagnosis Skills Based on Virtual Reality and Artificial Intelligence
Abstract
A training program of differential diagnosis skills, based on Virtual Reality and Artificial Intelligence, was developed to enhance the learning of psychopathological exploration. The sample of the study consisted of 39 psychology students. Comparisons between the experimental and the control group showed that students trained with the simulated interviews program obtained better scores than students trained with a traditional method. These findings suggest that the acquisition of skills can be improved by utilizing alternative learning methods that consider interactive and meaningful experiences that allow for recreation of real situations.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
VR and AI applications reported include enhancements in diagnostic skills and more stimulating environments for learning.
“Applications reported include enhancements in diagnostic skills, along with more stimulating environments for learning [147].”
From Leveraging AI in E-Learning: Personalized Learning and Adaptive Assessment through Cognitive Neuropsychology—A Systematic Analysis (2024) · cites this paper as [147]
Cites
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,841 · see citing works
The perception of spatial layout in real and virtual worlds
Arthur, E., Hancock, P. A., & Chrysler, S. T. (1997) · Ergonomics · doi:10.1080/001401397188387 · Cited by 116 · see citing works
Student-Built Virtual Environments
Winn, W. D., Hoffman, H., Hollander, A., et al. (1999) · PRESENCE Virtual and Augmented Reality · doi:10.1162/105474699566233 · Cited by 32 · see citing works
Evolutionary nature of virtual experience
Lee, K. M., & Jung, Y. (2005) · Journal of Cultural and Evolutionary Psychology · doi:10.1556/jcep.3.2005.2.4 · Cited by 14 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Halkiopoulos, C., & Gkintoni, E. (2024) · Electronics · doi:10.3390/electronics13183762 · Cited by 328 · see citing works
“Applications reported include enhancements in diagnostic skills, along with more stimulating environments for learning [147].”
Virtual Standardized Patients for Mental Health Education
Reger, G. M., Norr, A. M., Gramlich, M. A., & Buchman, J. M. (2021) · Current Psychiatry Reports · doi:10.1007/s11920-021-01273-5 · Cited by 38 · see citing works
- Authors
- Gutierrez-Maldonado, J., Penaloza, C., Jarne, A., Talarn, A., Andres, A., Aguilar, A., & Ferrer, M.
- Affiliations
- Universitat Autònoma de Barcelona (ES)
- Venue
- 2010 Seventh International Conference on Information Technology: New Generations
- Publisher
- IEEE
- Published
- 2010
- Pages
- 1298-1299
- OpenAlex
- W2097763280
- Cited by
- 5
- References
- 4
- Citations by year
- 2024: 1 · 2023: 1 · 2021: 1 · 2020: 1 · 2013: 1
- FWCI
- 3.48
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Information Technology: New Generations (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Simulation-Based Education in Healthcare
- Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
- Keywords
- differential diagnosis, virtual reality, artificial intelligence, job interview simulation, clinical interviewing skills, psychology students, skill acquisition, alternative learning
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