Physiological-Based Difficulty Assessment for Virtual Reality Rehabilitation Games

Bibliographic Details
Main Author: Rodrigues, Pedro
Publication Date: 2023
Other Authors: Fonseca, Micaela, Lopes, Phil
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/155271
Summary: Funding Information: This work is supported by Fundação para a Ciência e Tecnologia (FCT), under HEI-Lab R&D Unit (UIDB/05380/2020) and Project PlayersAll: media agency and empowerment (EXPL/COM-OUT/088 2/2021). Publisher Copyright: © 2023 Owner/Author.
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oai_identifier_str oai:run.unl.pt:10362/155271
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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spelling Physiological-Based Difficulty Assessment for Virtual Reality Rehabilitation GamesAffective computingemotion assessmentgamesmultimodal datasetvirtual realityHuman-Computer InteractionComputer Networks and CommunicationsComputer Vision and Pattern RecognitionSoftwareFunding Information: This work is supported by Fundação para a Ciência e Tecnologia (FCT), under HEI-Lab R&D Unit (UIDB/05380/2020) and Project PlayersAll: media agency and empowerment (EXPL/COM-OUT/088 2/2021). Publisher Copyright: © 2023 Owner/Author.This paper proposes an empirical framework that aims to classify difficulty according to the player's physiological response. As part of the experimental protocol, a simple puzzle-based Virtual Reality (VR) videogame with three levels of difficulty was developed, each targeting a distinct region of the valence-arousal space. A study involving 32 participants was conducted, during which physiological responses (EDA, ECG, Respiration), were measured alongside emotional ratings, which were self-assessed using the Self-Assessment Manikin (SAM) during gameplay. Statistical analysis of the self-reports verified the effectiveness of the three levels in eliciting different emotions. Furthermore, classification using a Support Vector Machine (SVM) was performed to predict difficulty considering the physiological responses associated with each level. Results report an overall F1-score of 74.05% in detecting the three levels of difficulty, which validates the adopted methodology and encourages further research with a larger dataset.ACM - Association for Computing MachineryDF – Departamento de FísicaLIBPhys-UNLRUNRodrigues, PedroFonseca, MicaelaLopes, Phil2023-07-14T22:08:13Z2023-042023-04-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersion4application/pdfhttp://hdl.handle.net/10362/155271eng978-145039856-5PURE: 66001122https://doi.org/10.1145/3582437.3587187info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T18:12:57Zoai:run.unl.pt:10362/155271Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:43:32.476458Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Physiological-Based Difficulty Assessment for Virtual Reality Rehabilitation Games
title Physiological-Based Difficulty Assessment for Virtual Reality Rehabilitation Games
spellingShingle Physiological-Based Difficulty Assessment for Virtual Reality Rehabilitation Games
Rodrigues, Pedro
Affective computing
emotion assessment
games
multimodal dataset
virtual reality
Human-Computer Interaction
Computer Networks and Communications
Computer Vision and Pattern Recognition
Software
title_short Physiological-Based Difficulty Assessment for Virtual Reality Rehabilitation Games
title_full Physiological-Based Difficulty Assessment for Virtual Reality Rehabilitation Games
title_fullStr Physiological-Based Difficulty Assessment for Virtual Reality Rehabilitation Games
title_full_unstemmed Physiological-Based Difficulty Assessment for Virtual Reality Rehabilitation Games
title_sort Physiological-Based Difficulty Assessment for Virtual Reality Rehabilitation Games
author Rodrigues, Pedro
author_facet Rodrigues, Pedro
Fonseca, Micaela
Lopes, Phil
author_role author
author2 Fonseca, Micaela
Lopes, Phil
author2_role author
author
dc.contributor.none.fl_str_mv DF – Departamento de Física
LIBPhys-UNL
RUN
dc.contributor.author.fl_str_mv Rodrigues, Pedro
Fonseca, Micaela
Lopes, Phil
dc.subject.por.fl_str_mv Affective computing
emotion assessment
games
multimodal dataset
virtual reality
Human-Computer Interaction
Computer Networks and Communications
Computer Vision and Pattern Recognition
Software
topic Affective computing
emotion assessment
games
multimodal dataset
virtual reality
Human-Computer Interaction
Computer Networks and Communications
Computer Vision and Pattern Recognition
Software
description Funding Information: This work is supported by Fundação para a Ciência e Tecnologia (FCT), under HEI-Lab R&D Unit (UIDB/05380/2020) and Project PlayersAll: media agency and empowerment (EXPL/COM-OUT/088 2/2021). Publisher Copyright: © 2023 Owner/Author.
publishDate 2023
dc.date.none.fl_str_mv 2023-07-14T22:08:13Z
2023-04
2023-04-01T00:00:00Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/155271
url http://hdl.handle.net/10362/155271
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 978-145039856-5
PURE: 66001122
https://doi.org/10.1145/3582437.3587187
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 4
application/pdf
dc.publisher.none.fl_str_mv ACM - Association for Computing Machinery
publisher.none.fl_str_mv ACM - Association for Computing Machinery
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833596918465298432

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