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
español castellano
Tipo de recurso
documento de conferencia
Estado
versión publicada
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.
Laboratorio de Investigación y Formación en Informática Avanzada
Materia
Ciencias Informáticas
Usability
Multi-citeria
Decision support
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/96442
Acceder
id SEDICI_140e9a1424896e269b7820ddc22e3b4e
oai_identifier_str oai:sedici.unlp.edu.ar:10915/96442
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling A Mixed Usability Evaluation on a Multi Criteria Group Decision Support System in AgricultureGrigera, JuliánGarrido, AlejandraZarate, PascaleCamilleri, GuyFernández, AlejandroCiencias InformáticasUsabilityMulti-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.Laboratorio de Investigación y Formación en Informática Avanzada2018info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf4 p.http://sedici.unlp.edu.ar/handle/10915/96442spainfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T10:53:00Zoai:sedici.unlp.edu.ar:10915/96442Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:53:00.712SEDICI (UNLP) - Universidad Nacional de La Platafalse
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
Ciencias Informáticas
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 Ciencias Informáticas
Usability
Multi-citeria
Decision support
topic Ciencias Informáticas
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.
Laboratorio de Investigación y Formación en Informática Avanzada
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
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/96442
url http://sedici.unlp.edu.ar/handle/10915/96442
dc.language.none.fl_str_mv spa
language spa
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
4 p.
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1842260412480880640
score 13.13397

Publicaciones similares