A Mixed Usability Evaluation on a Multi Criteria Group Decision Support System in Agriculture

Autores
Grigera, Julián; Garrido, Alejandra; Zarate, Pascale; Camilleri, Guy; Fernández, Alejandro
Año de publicación
2018
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión enviada
Descripción
Decision Support Systems (DSS) help users make decisions by organizing the decision-making process in stages, dealing with several input sources. In the agricultural context, these tools are becoming more important given the variety of data that producers face, market regulations and interaction of several actors with different backgrounds. Different DSS have existed for years, but their adoption is reportedly very low, being poor usability one of the most relevant factors. While there are surveys indicating this, we have not found usability evaluations on DSS with concrete results. In this work, we evaluated decision-making in the agricultural domain using a group DSS called GRUS. We present 3 different usability evaluations: a heuristic evaluation, a user test, and an automated diagnosis.
Materia
Ingenierías y Tecnologías
Usability
Multi-citeria
Decision support
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-nd/4.0/
Repositorio
CIC Digital (CICBA)
Institución
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
OAI Identificador
oai:digital.cic.gba.gob.ar:11746/10582
Acceder
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repository_id_str 9441
network_name_str CIC Digital (CICBA)
spelling A Mixed Usability Evaluation on a Multi Criteria Group Decision Support System in AgricultureGrigera, JuliánGarrido, AlejandraZarate, PascaleCamilleri, GuyFernández, AlejandroIngenierías y TecnologíasUsabilityMulti-citeriaDecision supportDecision Support Systems (DSS) help users make decisions by organizing the decision-making process in stages, dealing with several input sources. In the agricultural context, these tools are becoming more important given the variety of data that producers face, market regulations and interaction of several actors with different backgrounds. Different DSS have existed for years, but their adoption is reportedly very low, being poor usability one of the most relevant factors. While there are surveys indicating this, we have not found usability evaluations on DSS with concrete results. In this work, we evaluated decision-making in the agricultural domain using a group DSS called GRUS. We present 3 different usability evaluations: a heuristic evaluation, a user test, and an automated diagnosis.2018-09-12info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/submittedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/10582enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-10-16T09:27:26Zoai:digital.cic.gba.gob.ar:11746/10582Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-10-16 09:27:26.915CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse
dc.title.none.fl_str_mv A Mixed Usability Evaluation on a Multi Criteria Group Decision Support System in Agriculture
title A Mixed Usability Evaluation on a Multi Criteria Group Decision Support System in Agriculture
spellingShingle A Mixed Usability Evaluation on a Multi Criteria Group Decision Support System in Agriculture
Grigera, Julián
Ingenierías y Tecnologías
Usability
Multi-citeria
Decision support
title_short A Mixed Usability Evaluation on a Multi Criteria Group Decision Support System in Agriculture
title_full A Mixed Usability Evaluation on a Multi Criteria Group Decision Support System in Agriculture
title_fullStr A Mixed Usability Evaluation on a Multi Criteria Group Decision Support System in Agriculture
title_full_unstemmed A Mixed Usability Evaluation on a Multi Criteria Group Decision Support System in Agriculture
title_sort A Mixed Usability Evaluation on a Multi Criteria Group Decision Support System in Agriculture
dc.creator.none.fl_str_mv Grigera, Julián
Garrido, Alejandra
Zarate, Pascale
Camilleri, Guy
Fernández, Alejandro
author Grigera, Julián
author_facet Grigera, Julián
Garrido, Alejandra
Zarate, Pascale
Camilleri, Guy
Fernández, Alejandro
author_role author
author2 Garrido, Alejandra
Zarate, Pascale
Camilleri, Guy
Fernández, Alejandro
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ingenierías y Tecnologías
Usability
Multi-citeria
Decision support
topic Ingenierías y Tecnologías
Usability
Multi-citeria
Decision support
dc.description.none.fl_txt_mv Decision Support Systems (DSS) help users make decisions by organizing the decision-making process in stages, dealing with several input sources. In the agricultural context, these tools are becoming more important given the variety of data that producers face, market regulations and interaction of several actors with different backgrounds. Different DSS have existed for years, but their adoption is reportedly very low, being poor usability one of the most relevant factors. While there are surveys indicating this, we have not found usability evaluations on DSS with concrete results. In this work, we evaluated decision-making in the agricultural domain using a group DSS called GRUS. We present 3 different usability evaluations: a heuristic evaluation, a user test, and an automated diagnosis.
description Decision Support Systems (DSS) help users make decisions by organizing the decision-making process in stages, dealing with several input sources. In the agricultural context, these tools are becoming more important given the variety of data that producers face, market regulations and interaction of several actors with different backgrounds. Different DSS have existed for years, but their adoption is reportedly very low, being poor usability one of the most relevant factors. While there are surveys indicating this, we have not found usability evaluations on DSS with concrete results. In this work, we evaluated decision-making in the agricultural domain using a group DSS called GRUS. We present 3 different usability evaluations: a heuristic evaluation, a user test, and an automated diagnosis.
publishDate 2018
dc.date.none.fl_str_mv 2018-09-12
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
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status_str submittedVersion
dc.identifier.none.fl_str_mv https://digital.cic.gba.gob.ar/handle/11746/10582
url https://digital.cic.gba.gob.ar/handle/11746/10582
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:CIC Digital (CICBA)
instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron:CICBA
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instname_str Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
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institution CICBA
repository.name.fl_str_mv CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
repository.mail.fl_str_mv marisa.degiusti@sedici.unlp.edu.ar
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