Strategy planner: graphical definition of soccer set-plays

Detalhes bibliográficos
Autor(a) principal: Cravo, J.
Data de Publicação: 2014
Outros Autores: Almeida, F., Abreu, P. H., Reis, L. P., Lau, N., Mota, L.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://ciencia.iscte-iul.pt/public/pub/id/20648
http://hdl.handle.net/10071/9513
Resumo: One of the research topics on multi-agent systems focuses on the development of mechanisms such as plans to empower a team of agents to cooperate in order to perform complex tasks. In many cases, the definition of these plans are based on a specific and rather complex grammar and stored in structured text files. In the context of the 2D simulated Robotic Soccer domain, a set-play language was proposed to coordinate the execution of teammates' behaviors to improve a team's overall performance. The process of manually writing set-play definitions is hazardous and can benefit from the use of a graphical tool to reach new users and allow typical users to become more productive. This work presents such a tool for which several experiments were run to measure its usability with forty two users by having them perform a set of tasks for which their execution time, number errors and satisfaction were recorded. The tool reduced the previous average time required to completely define a set-play by 90% and enabled even non-expert users to use it. Moreover, users were on average satisfied with SPlanner having ranked it with a score of 77 (out of 100) using a System Usability Scale questionnaire.
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spelling Strategy planner: graphical definition of soccer set-playsData and knowledge visualizationMethodologies and toolsGraphical planningSet-playRobotic soccerOne of the research topics on multi-agent systems focuses on the development of mechanisms such as plans to empower a team of agents to cooperate in order to perform complex tasks. In many cases, the definition of these plans are based on a specific and rather complex grammar and stored in structured text files. In the context of the 2D simulated Robotic Soccer domain, a set-play language was proposed to coordinate the execution of teammates' behaviors to improve a team's overall performance. The process of manually writing set-play definitions is hazardous and can benefit from the use of a graphical tool to reach new users and allow typical users to become more productive. This work presents such a tool for which several experiments were run to measure its usability with forty two users by having them perform a set of tasks for which their execution time, number errors and satisfaction were recorded. The tool reduced the previous average time required to completely define a set-play by 90% and enabled even non-expert users to use it. Moreover, users were on average satisfied with SPlanner having ranked it with a score of 77 (out of 100) using a System Usability Scale questionnaire.Elsevier2015-08-03T09:34:05Z2014-01-01T00:00:00Z20142015-08-03T09:30:56Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://ciencia.iscte-iul.pt/public/pub/id/20648http://hdl.handle.net/10071/9513eng0169-023XCravo, J.Almeida, F.Abreu, P. H.Reis, L. P.Lau, N.Mota, L.info:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-07-07T03:37:38Zoai:repositorio.iscte-iul.pt:10071/9513Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-07-07T03:37:38Repositório 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 Strategy planner: graphical definition of soccer set-plays
title Strategy planner: graphical definition of soccer set-plays
spellingShingle Strategy planner: graphical definition of soccer set-plays
Cravo, J.
Data and knowledge visualization
Methodologies and tools
Graphical planning
Set-play
Robotic soccer
title_short Strategy planner: graphical definition of soccer set-plays
title_full Strategy planner: graphical definition of soccer set-plays
title_fullStr Strategy planner: graphical definition of soccer set-plays
title_full_unstemmed Strategy planner: graphical definition of soccer set-plays
title_sort Strategy planner: graphical definition of soccer set-plays
author Cravo, J.
author_facet Cravo, J.
Almeida, F.
Abreu, P. H.
Reis, L. P.
Lau, N.
Mota, L.
author_role author
author2 Almeida, F.
Abreu, P. H.
Reis, L. P.
Lau, N.
Mota, L.
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Cravo, J.
Almeida, F.
Abreu, P. H.
Reis, L. P.
Lau, N.
Mota, L.
dc.subject.por.fl_str_mv Data and knowledge visualization
Methodologies and tools
Graphical planning
Set-play
Robotic soccer
topic Data and knowledge visualization
Methodologies and tools
Graphical planning
Set-play
Robotic soccer
description One of the research topics on multi-agent systems focuses on the development of mechanisms such as plans to empower a team of agents to cooperate in order to perform complex tasks. In many cases, the definition of these plans are based on a specific and rather complex grammar and stored in structured text files. In the context of the 2D simulated Robotic Soccer domain, a set-play language was proposed to coordinate the execution of teammates' behaviors to improve a team's overall performance. The process of manually writing set-play definitions is hazardous and can benefit from the use of a graphical tool to reach new users and allow typical users to become more productive. This work presents such a tool for which several experiments were run to measure its usability with forty two users by having them perform a set of tasks for which their execution time, number errors and satisfaction were recorded. The tool reduced the previous average time required to completely define a set-play by 90% and enabled even non-expert users to use it. Moreover, users were on average satisfied with SPlanner having ranked it with a score of 77 (out of 100) using a System Usability Scale questionnaire.
publishDate 2014
dc.date.none.fl_str_mv 2014-01-01T00:00:00Z
2014
2015-08-03T09:34:05Z
2015-08-03T09:30:56Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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format article
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dc.identifier.uri.fl_str_mv https://ciencia.iscte-iul.pt/public/pub/id/20648
http://hdl.handle.net/10071/9513
url https://ciencia.iscte-iul.pt/public/pub/id/20648
http://hdl.handle.net/10071/9513
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0169-023X
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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