Activities suggestion based on emotions in AAL environments
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/69242 |
Resumo: | The elderly population is increasing and the response of the society was to provide them with services directed to them to cope with their needs. One of the oldest solutions is the retirement home, providing housing and permanent assistance for the elderly. Furthermore, most of the retirement homes are inhabited by multiple elderly people, thus creating a community of people who are somewhat related in age and medical issues. The ambient assisted living (AAL) area tries to solve some of the elderly issues by producing technological products, some of them dedicated to elderly homes. One of the identified problem is that elderly people are sometimes discontent about the activities that consume most of their day promoted by the retirement home social workers. The work presented in this paper attempts to improve how these activities are scheduled taking into account the elderlies' emotional response to these activities. The aim is to maximize the group happiness by promoting the activities the group likes, minding if they are bored due to activities repetition. In this sense, this paper presents an extension of the Cognitive Life Assistant platform incorporating a social emotional model. The proposed system has been modelled as a free time activity manager which is in charge of suggesting activities to the social workers. (C) 2018 Elsevier B.V. All rights reserved. |
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Activities suggestion based on emotions in AAL environmentsEmotional agentsAmbient intelligenceMulti-agent systemsAgent-based simulationAmbient assisted livingCiências Naturais::Ciências da Computação e da InformaçãoScience & TechnologyThe elderly population is increasing and the response of the society was to provide them with services directed to them to cope with their needs. One of the oldest solutions is the retirement home, providing housing and permanent assistance for the elderly. Furthermore, most of the retirement homes are inhabited by multiple elderly people, thus creating a community of people who are somewhat related in age and medical issues. The ambient assisted living (AAL) area tries to solve some of the elderly issues by producing technological products, some of them dedicated to elderly homes. One of the identified problem is that elderly people are sometimes discontent about the activities that consume most of their day promoted by the retirement home social workers. The work presented in this paper attempts to improve how these activities are scheduled taking into account the elderlies' emotional response to these activities. The aim is to maximize the group happiness by promoting the activities the group likes, minding if they are bored due to activities repetition. In this sense, this paper presents an extension of the Cognitive Life Assistant platform incorporating a social emotional model. The proposed system has been modelled as a free time activity manager which is in charge of suggesting activities to the social workers. (C) 2018 Elsevier B.V. All rights reserved.Angelo Costa thanks the Fundacao para a Ciencia e a Tecnologia (FCT) the Post-Doc scholarship with the Ref. SFRH/BPD/102696/2014. This work is also supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT - Fundacao para a Ciencia e Tecnologia within the Project Scope: UID/CEC/00319/2013 and partially supported by the MINECO/FEDER TIN2015-65515-C4-1-R and the FPI grant AP2013-01276 awarded to Jaime-Andres Rincon.ElsevierUniversidade do MinhoCosta, Ângelo Gonçalo Araújo SilvaAndres Rincon, JaimeCarrascosa, CarlosNovais, PauloJulian, Vicente2018-03-012018-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/69242engCosta, A., Rincon, J. A., Carrascosa, C., Novais, P., & Julian, V. (2018). Activities suggestion based on emotions in AAL environments. Artificial intelligence in medicine, 86, 9-190933-365710.1016/j.artmed.2018.01.00229426681https://www.sciencedirect.com/science/article/pii/S0933365717300015info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:53:55Zoai:repositorium.sdum.uminho.pt:1822/69242Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:53:24.427077Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Activities suggestion based on emotions in AAL environments |
title |
Activities suggestion based on emotions in AAL environments |
spellingShingle |
Activities suggestion based on emotions in AAL environments Costa, Ângelo Gonçalo Araújo Silva Emotional agents Ambient intelligence Multi-agent systems Agent-based simulation Ambient assisted living Ciências Naturais::Ciências da Computação e da Informação Science & Technology |
title_short |
Activities suggestion based on emotions in AAL environments |
title_full |
Activities suggestion based on emotions in AAL environments |
title_fullStr |
Activities suggestion based on emotions in AAL environments |
title_full_unstemmed |
Activities suggestion based on emotions in AAL environments |
title_sort |
Activities suggestion based on emotions in AAL environments |
author |
Costa, Ângelo Gonçalo Araújo Silva |
author_facet |
Costa, Ângelo Gonçalo Araújo Silva Andres Rincon, Jaime Carrascosa, Carlos Novais, Paulo Julian, Vicente |
author_role |
author |
author2 |
Andres Rincon, Jaime Carrascosa, Carlos Novais, Paulo Julian, Vicente |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Costa, Ângelo Gonçalo Araújo Silva Andres Rincon, Jaime Carrascosa, Carlos Novais, Paulo Julian, Vicente |
dc.subject.por.fl_str_mv |
Emotional agents Ambient intelligence Multi-agent systems Agent-based simulation Ambient assisted living Ciências Naturais::Ciências da Computação e da Informação Science & Technology |
topic |
Emotional agents Ambient intelligence Multi-agent systems Agent-based simulation Ambient assisted living Ciências Naturais::Ciências da Computação e da Informação Science & Technology |
description |
The elderly population is increasing and the response of the society was to provide them with services directed to them to cope with their needs. One of the oldest solutions is the retirement home, providing housing and permanent assistance for the elderly. Furthermore, most of the retirement homes are inhabited by multiple elderly people, thus creating a community of people who are somewhat related in age and medical issues. The ambient assisted living (AAL) area tries to solve some of the elderly issues by producing technological products, some of them dedicated to elderly homes. One of the identified problem is that elderly people are sometimes discontent about the activities that consume most of their day promoted by the retirement home social workers. The work presented in this paper attempts to improve how these activities are scheduled taking into account the elderlies' emotional response to these activities. The aim is to maximize the group happiness by promoting the activities the group likes, minding if they are bored due to activities repetition. In this sense, this paper presents an extension of the Cognitive Life Assistant platform incorporating a social emotional model. The proposed system has been modelled as a free time activity manager which is in charge of suggesting activities to the social workers. (C) 2018 Elsevier B.V. All rights reserved. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-03-01 2018-03-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/69242 |
url |
http://hdl.handle.net/1822/69242 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Costa, A., Rincon, J. A., Carrascosa, C., Novais, P., & Julian, V. (2018). Activities suggestion based on emotions in AAL environments. Artificial intelligence in medicine, 86, 9-19 0933-3657 10.1016/j.artmed.2018.01.002 29426681 https://www.sciencedirect.com/science/article/pii/S0933365717300015 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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