Repository logo
 
Publication

Suitability of dynamic environments in virtual reality for schizophrenia therapies

dc.contributor.authorDeusdado, Leonel
dc.contributor.authorAntunes, Alexandre Fernandes
dc.contributor.authorLopes, Rui Pedro
dc.contributor.authorNeto, Jecé Xavier Pereira
dc.date.accessioned2024-01-30T10:50:42Z
dc.date.available2024-01-30T10:50:42Z
dc.date.issued2023
dc.description.abstractSerious Games (SG) have a significant positive impact on a wide range of purposes. Serious virtual games focused on the rehabilitation of schizophrenia are able to bring improvements to patients who require constant and individualized rehabilitation. Schizophrenia is a mental illness that has no cure and requires intensive rehabilitation for symptoms relief. Virtual Reality (VR) has gained acceptance in the medical field for a variety of rehabilitation by virtue of its immersiveness and versatility. Virtual environments can assist this process, seeking to contemplate important topics for their daily lives, facilitating the understanding of their situation and difficulties. To achieve more effective results, a virtual scenario must be dynamic and suitable to each patient. Nonplayable Character (NPC), which in this work can be human-like or pet-like representations, tasks, varied and objective interactions, and the ambiance all play an important role in determining the expected result. The work described in this paper approaches previously mentioned topics by investigating the contribution of previous works in this context for approaching multiple elements that control the dynamic environment, bringing new modalities and research for the development of a SG for VR focused on the rehabilitation of schizophrenia by facilitating schizophrenics’ daily lives.pt_PT
dc.description.sponsorshipThis work is funded by the European Regional Development Fund (ERDF) through the Regional Operational Program North 2020, within the scope of Project GreenHealth - Digital strategies in biological assets to improve well-being and promote Green health, Norte-01-0145-FEDER-000042.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationDeusdado, Leonel; Antunes, Alexandre Fernandes; Lopes, Rui Pedro; Neto, Jecé Xavier Pereira (2023). Suitability of dynamic environments in virtual reality for schizophrenia therapies. In 7th International Conference on Computer, Software and Modeling (ICCSM). p. 67-72. ISBN 979-8-3503-0581-4pt_PT
dc.identifier.doi10.1109/ICCSM60247.2023.00022pt_PT
dc.identifier.isbn979-8-3503-0581-4
dc.identifier.urihttp://hdl.handle.net/10198/29389
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectSerious gamept_PT
dc.subjectSchizophrenia rehabilitationpt_PT
dc.subjectVirtual realitypt_PT
dc.subjectDynamic environmentpt_PT
dc.subjectNonplayable characterpt_PT
dc.titleSuitability of dynamic environments in virtual reality for schizophrenia therapiespt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.endPage72pt_PT
oaire.citation.startPage67pt_PT
oaire.citation.title7th International Conference on Computer, Software and Modeling (ICCSM)pt_PT
person.familyNameDeusdado
person.familyNameLopes
person.givenNameLeonel
person.givenNameRui Pedro
person.identifier.ciencia-id641A-C527-2050
person.identifier.ciencia-id8E14-54E4-4DB5
person.identifier.orcid0000-0002-9944-4386
person.identifier.orcid0000-0002-9170-5078
person.identifier.scopus-author-id37561352100
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication0cee7d48-cccd-4248-9bc1-f22005b7f59c
relation.isAuthorOfPublicatione1e64423-0ec8-46ee-be96-33205c7c98a9
relation.isAuthorOfPublication.latestForDiscoverye1e64423-0ec8-46ee-be96-33205c7c98a9

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Suitability_of_Dynamic_Environments.pdf
Size:
1.24 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: