Multi-Agent Interaction to Assist Visually-Impaired and Elderly People
Autor(a) principal: | |
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Data de Publicação: | 2022 |
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/10174/32469 https://doi.org/Oliveira, J.D.; Engelmann, D.C.; Kniest, D.; Vieira, R.; Bordini, R.H. Multi-Agent Interaction to Assist Visually-Impaired and Elderly People. Int. J. Environ. Res. Public Health2022,19,8945. https:// doi.org/10.3390/ijerph19158945 https://doi.org/https:// doi.org/10.3390/ijerph19158945 |
Resumo: | A voice-controlled smart home system based on conversational agents can address the specific needs of older people, proactively providing support, compensating for cognitive decline, and coping with solitude, among other features. In particular, Multi-Agent Systems (MAS) platforms provide considerable support for complex adaptive systems that are naturally distributed and situated in dynamic environments, such as Ambient intelligence (AmI) applications. Such autonomous intelligent agents are capable of independent reasoning and joint analysis of complex situations to support high-level interaction with humans, besides providing typical characteristics of MAS, such as cooperation and coordinated action. In this context, we developed an approach using a MAS previously evaluated for visually impaired users, where most of the system’s functionalities are also helpful for the elderly. Our methodology is based on the four steps of the interactive design process. As a result, we determined that our approach has elements that allow for natural interaction with users, and we identified and discussed improvements and new features for future work. We believe that our findings can point to directions for building AmI systems that are capable of more natural interaction with users. |
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Multi-Agent Interaction to Assist Visually-Impaired and Elderly Peoplemulti-agent systemsdaily living assistanceA voice-controlled smart home system based on conversational agents can address the specific needs of older people, proactively providing support, compensating for cognitive decline, and coping with solitude, among other features. In particular, Multi-Agent Systems (MAS) platforms provide considerable support for complex adaptive systems that are naturally distributed and situated in dynamic environments, such as Ambient intelligence (AmI) applications. Such autonomous intelligent agents are capable of independent reasoning and joint analysis of complex situations to support high-level interaction with humans, besides providing typical characteristics of MAS, such as cooperation and coordinated action. In this context, we developed an approach using a MAS previously evaluated for visually impaired users, where most of the system’s functionalities are also helpful for the elderly. Our methodology is based on the four steps of the interactive design process. As a result, we determined that our approach has elements that allow for natural interaction with users, and we identified and discussed improvements and new features for future work. We believe that our findings can point to directions for building AmI systems that are capable of more natural interaction with users.This study was financed by the Coordenação de Aperfeiçoamento de Pessoal de Nivel Superior—Brasil (CAPES)—Finance Code 001, Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and FCT CEECIND/01997/2017, UIDB/00057/2020.MDPI2022-08-31T11:06:58Z2022-08-312022-07-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/32469https://doi.org/Oliveira, J.D.; Engelmann, D.C.; Kniest, D.; Vieira, R.; Bordini, R.H. Multi-Agent Interaction to Assist Visually-Impaired and Elderly People. Int. J. Environ. Res. Public Health2022,19,8945. https:// doi.org/10.3390/ijerph19158945http://hdl.handle.net/10174/32469https://doi.org/https:// doi.org/10.3390/ijerph19158945eng1660-4601https://www.mdpi.com/1660-4601/19/15/894515Int. J. Environ. Res. Public Health19ndndndrenatav@uevora.ptnd498Oliveira, JulianaEngelman, DeboraKniest, DaviVieira, RenataBordini, Rafaelinfo: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:RCAAP2024-01-03T19:33:00Zoai:dspace.uevora.pt:10174/32469Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:21:23.455929Repositório 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 |
Multi-Agent Interaction to Assist Visually-Impaired and Elderly People |
title |
Multi-Agent Interaction to Assist Visually-Impaired and Elderly People |
spellingShingle |
Multi-Agent Interaction to Assist Visually-Impaired and Elderly People Oliveira, Juliana multi-agent systems daily living assistance |
title_short |
Multi-Agent Interaction to Assist Visually-Impaired and Elderly People |
title_full |
Multi-Agent Interaction to Assist Visually-Impaired and Elderly People |
title_fullStr |
Multi-Agent Interaction to Assist Visually-Impaired and Elderly People |
title_full_unstemmed |
Multi-Agent Interaction to Assist Visually-Impaired and Elderly People |
title_sort |
Multi-Agent Interaction to Assist Visually-Impaired and Elderly People |
author |
Oliveira, Juliana |
author_facet |
Oliveira, Juliana Engelman, Debora Kniest, Davi Vieira, Renata Bordini, Rafael |
author_role |
author |
author2 |
Engelman, Debora Kniest, Davi Vieira, Renata Bordini, Rafael |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Oliveira, Juliana Engelman, Debora Kniest, Davi Vieira, Renata Bordini, Rafael |
dc.subject.por.fl_str_mv |
multi-agent systems daily living assistance |
topic |
multi-agent systems daily living assistance |
description |
A voice-controlled smart home system based on conversational agents can address the specific needs of older people, proactively providing support, compensating for cognitive decline, and coping with solitude, among other features. In particular, Multi-Agent Systems (MAS) platforms provide considerable support for complex adaptive systems that are naturally distributed and situated in dynamic environments, such as Ambient intelligence (AmI) applications. Such autonomous intelligent agents are capable of independent reasoning and joint analysis of complex situations to support high-level interaction with humans, besides providing typical characteristics of MAS, such as cooperation and coordinated action. In this context, we developed an approach using a MAS previously evaluated for visually impaired users, where most of the system’s functionalities are also helpful for the elderly. Our methodology is based on the four steps of the interactive design process. As a result, we determined that our approach has elements that allow for natural interaction with users, and we identified and discussed improvements and new features for future work. We believe that our findings can point to directions for building AmI systems that are capable of more natural interaction with users. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-08-31T11:06:58Z 2022-08-31 2022-07-01T00:00:00Z |
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/10174/32469 https://doi.org/Oliveira, J.D.; Engelmann, D.C.; Kniest, D.; Vieira, R.; Bordini, R.H. Multi-Agent Interaction to Assist Visually-Impaired and Elderly People. Int. J. Environ. Res. Public Health2022,19,8945. https:// doi.org/10.3390/ijerph19158945 http://hdl.handle.net/10174/32469 https://doi.org/https:// doi.org/10.3390/ijerph19158945 |
url |
http://hdl.handle.net/10174/32469 https://doi.org/Oliveira, J.D.; Engelmann, D.C.; Kniest, D.; Vieira, R.; Bordini, R.H. Multi-Agent Interaction to Assist Visually-Impaired and Elderly People. Int. J. Environ. Res. Public Health2022,19,8945. https:// doi.org/10.3390/ijerph19158945 https://doi.org/https:// doi.org/10.3390/ijerph19158945 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1660-4601 https://www.mdpi.com/1660-4601/19/15/8945 15 Int. J. Environ. Res. Public Health 19 nd nd nd renatav@uevora.pt nd 498 |
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info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
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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