Representing decision-makers using styles of behavior: an approach designed for group decision support systems
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/1822/52078 |
Resumo: | Supporting decision-making processes when the elements of a group are geographically dispersed and on a tight schedule is a complex task. Aiming to support decision-makers anytime and anywhere, Web-based group decision support systems have been studied. However, the limitations in the decision-makers’ interactions associated to this scenario bring new challenges. In this work, we propose a set of behavioral styles from which decision-makers’ intentions can be modelled into agents. The goal is that, besides having agents represent typical preferences of the decision-makers (towards alternatives and criteria), they can also represent their intentions. To do so, we conducted a survey with 64 participants in order to find homogeneous operating values so as to numerically define the proposed behavioral styles in four dimensions. In addition, we also propose a communication model that simulates the dialogues made by decision-makers in face-to-face meetings. We developed a prototype to simulate decision scenarios and found that agents are capable of acting according to the decision-makers’ intentions and fundamentally benefit from different possible behavioral styles, just as a face-to-face meeting benefits from the heterogeneity of its participants. |
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Representing decision-makers using styles of behavior: an approach designed for group decision support systemsGroup Decision Support SystemsStyles of BehaviorCognitive AgentsAffective ComputingScience & TechnologySocial SciencesSupporting decision-making processes when the elements of a group are geographically dispersed and on a tight schedule is a complex task. Aiming to support decision-makers anytime and anywhere, Web-based group decision support systems have been studied. However, the limitations in the decision-makers’ interactions associated to this scenario bring new challenges. In this work, we propose a set of behavioral styles from which decision-makers’ intentions can be modelled into agents. The goal is that, besides having agents represent typical preferences of the decision-makers (towards alternatives and criteria), they can also represent their intentions. To do so, we conducted a survey with 64 participants in order to find homogeneous operating values so as to numerically define the proposed behavioral styles in four dimensions. In addition, we also propose a communication model that simulates the dialogues made by decision-makers in face-to-face meetings. We developed a prototype to simulate decision scenarios and found that agents are capable of acting according to the decision-makers’ intentions and fundamentally benefit from different possible behavioral styles, just as a face-to-face meeting benefits from the heterogeneity of its participants.This work was supported by COMPETE Programme (operational programme for competitiveness) within Project POCI-01-0145-FEDER-007043, by National Funds through the FCT – Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within the Projects UID/CEC/00319/2013, UID/EEA/00760/2013, and the Ph.D. grants SFRH/BD/89697/2012 and SFRH/BD/89465/2012 attributed to João Carneiro and Pedro Saraiva, respectively.info:eu-repo/semantics/publishedVersionElsevierUniversidade do MinhoCarneiro, João Miguel RibeiroSaraiva, PedroMartinho, DiogoMarreiros, GoretiNovais, Paulo2018-012018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/52078eng1389-041710.1016/j.cogsys.2017.09.002info: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:RCAAP2023-07-21T12:34:24Zoai:repositorium.sdum.uminho.pt:1822/52078Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:30:04.778106Repositório 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 |
Representing decision-makers using styles of behavior: an approach designed for group decision support systems |
title |
Representing decision-makers using styles of behavior: an approach designed for group decision support systems |
spellingShingle |
Representing decision-makers using styles of behavior: an approach designed for group decision support systems Carneiro, João Miguel Ribeiro Group Decision Support Systems Styles of Behavior Cognitive Agents Affective Computing Science & Technology Social Sciences |
title_short |
Representing decision-makers using styles of behavior: an approach designed for group decision support systems |
title_full |
Representing decision-makers using styles of behavior: an approach designed for group decision support systems |
title_fullStr |
Representing decision-makers using styles of behavior: an approach designed for group decision support systems |
title_full_unstemmed |
Representing decision-makers using styles of behavior: an approach designed for group decision support systems |
title_sort |
Representing decision-makers using styles of behavior: an approach designed for group decision support systems |
author |
Carneiro, João Miguel Ribeiro |
author_facet |
Carneiro, João Miguel Ribeiro Saraiva, Pedro Martinho, Diogo Marreiros, Goreti Novais, Paulo |
author_role |
author |
author2 |
Saraiva, Pedro Martinho, Diogo Marreiros, Goreti Novais, Paulo |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Carneiro, João Miguel Ribeiro Saraiva, Pedro Martinho, Diogo Marreiros, Goreti Novais, Paulo |
dc.subject.por.fl_str_mv |
Group Decision Support Systems Styles of Behavior Cognitive Agents Affective Computing Science & Technology Social Sciences |
topic |
Group Decision Support Systems Styles of Behavior Cognitive Agents Affective Computing Science & Technology Social Sciences |
description |
Supporting decision-making processes when the elements of a group are geographically dispersed and on a tight schedule is a complex task. Aiming to support decision-makers anytime and anywhere, Web-based group decision support systems have been studied. However, the limitations in the decision-makers’ interactions associated to this scenario bring new challenges. In this work, we propose a set of behavioral styles from which decision-makers’ intentions can be modelled into agents. The goal is that, besides having agents represent typical preferences of the decision-makers (towards alternatives and criteria), they can also represent their intentions. To do so, we conducted a survey with 64 participants in order to find homogeneous operating values so as to numerically define the proposed behavioral styles in four dimensions. In addition, we also propose a communication model that simulates the dialogues made by decision-makers in face-to-face meetings. We developed a prototype to simulate decision scenarios and found that agents are capable of acting according to the decision-makers’ intentions and fundamentally benefit from different possible behavioral styles, just as a face-to-face meeting benefits from the heterogeneity of its participants. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-01 2018-01-01T00:00:00Z |
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/1822/52078 |
url |
http://hdl.handle.net/1822/52078 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1389-0417 10.1016/j.cogsys.2017.09.002 |
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 |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799132802599354368 |