Using Citizen Science Gamification in Agriculture Collaborative Knowledge Production

Autores
Martin, Jonathan; Torres, Diego; Fernández, Alejandro; Pravisani, Santiago; Briend, Guillaume
Año de publicación
2018
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión aceptada
Descripción
RUC-APS is an international project run by 16 research institutions. The project's main goal is empowering agriculture production systems through innovative knowledge-based ICT solutions to deal with high risk and uncertain conditions. In this context, a Semantic Mediawiki is desired to support the various stakeholders in the agriculture value chain in the task of capturing and sharing agricultural best practices. Applying gamification to Wikis is one strategy to encourage the community to participate, and It could be achieved by attaching Metagame, a gamification layer system. However, It could be risky because the tunning of a gamification system in the production face of the wiki could be perceived by the users as a bug in the system. To avoid this situation, a simulation based on the real historical data of the Agriculture community in Wikipedia from 2001 to 2018 was performed. The simulation revealed that is not obvious to generate a system of awards on the type of actions carried out by the Wikipedia editors. The construction of knowledge is done in very small portions, and some of them can be confused with improvements or corrections instead of contributions. Indeed, It shows the importance of tuning the reward parameters, because that allows advancing in the Metagame rank evolution.
Materia
Ciencias de la Computación
Gamification
Agriculture
Knowledge management
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/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:11746/10606

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network_name_str CIC Digital (CICBA)
spelling Using Citizen Science Gamification in Agriculture Collaborative Knowledge ProductionMartin, JonathanTorres, DiegoFernández, AlejandroPravisani, SantiagoBriend, GuillaumeCiencias de la ComputaciónGamificationAgricultureKnowledge managementRUC-APS is an international project run by 16 research institutions. The project's main goal is empowering agriculture production systems through innovative knowledge-based ICT solutions to deal with high risk and uncertain conditions. In this context, a Semantic Mediawiki is desired to support the various stakeholders in the agriculture value chain in the task of capturing and sharing agricultural best practices. Applying gamification to Wikis is one strategy to encourage the community to participate, and It could be achieved by attaching Metagame, a gamification layer system. However, It could be risky because the tunning of a gamification system in the production face of the wiki could be perceived by the users as a bug in the system. To avoid this situation, a simulation based on the real historical data of the Agriculture community in Wikipedia from 2001 to 2018 was performed. The simulation revealed that is not obvious to generate a system of awards on the type of actions carried out by the Wikipedia editors. The construction of knowledge is done in very small portions, and some of them can be confused with improvements or corrections instead of contributions. Indeed, It shows the importance of tuning the reward parameters, because that allows advancing in the Metagame rank evolution.2018-09-12info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/10606enginfo:eu-repo/semantics/altIdentifier/doi/10.1145/3233824.3233859info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-10-16T09:26:50Zoai:digital.cic.gba.gob.ar:11746/10606Institucionalhttp://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 09:26:50.394CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse
dc.title.none.fl_str_mv Using Citizen Science Gamification in Agriculture Collaborative Knowledge Production
title Using Citizen Science Gamification in Agriculture Collaborative Knowledge Production
spellingShingle Using Citizen Science Gamification in Agriculture Collaborative Knowledge Production
Martin, Jonathan
Ciencias de la Computación
Gamification
Agriculture
Knowledge management
title_short Using Citizen Science Gamification in Agriculture Collaborative Knowledge Production
title_full Using Citizen Science Gamification in Agriculture Collaborative Knowledge Production
title_fullStr Using Citizen Science Gamification in Agriculture Collaborative Knowledge Production
title_full_unstemmed Using Citizen Science Gamification in Agriculture Collaborative Knowledge Production
title_sort Using Citizen Science Gamification in Agriculture Collaborative Knowledge Production
dc.creator.none.fl_str_mv Martin, Jonathan
Torres, Diego
Fernández, Alejandro
Pravisani, Santiago
Briend, Guillaume
author Martin, Jonathan
author_facet Martin, Jonathan
Torres, Diego
Fernández, Alejandro
Pravisani, Santiago
Briend, Guillaume
author_role author
author2 Torres, Diego
Fernández, Alejandro
Pravisani, Santiago
Briend, Guillaume
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ciencias de la Computación
Gamification
Agriculture
Knowledge management
topic Ciencias de la Computación
Gamification
Agriculture
Knowledge management
dc.description.none.fl_txt_mv RUC-APS is an international project run by 16 research institutions. The project's main goal is empowering agriculture production systems through innovative knowledge-based ICT solutions to deal with high risk and uncertain conditions. In this context, a Semantic Mediawiki is desired to support the various stakeholders in the agriculture value chain in the task of capturing and sharing agricultural best practices. Applying gamification to Wikis is one strategy to encourage the community to participate, and It could be achieved by attaching Metagame, a gamification layer system. However, It could be risky because the tunning of a gamification system in the production face of the wiki could be perceived by the users as a bug in the system. To avoid this situation, a simulation based on the real historical data of the Agriculture community in Wikipedia from 2001 to 2018 was performed. The simulation revealed that is not obvious to generate a system of awards on the type of actions carried out by the Wikipedia editors. The construction of knowledge is done in very small portions, and some of them can be confused with improvements or corrections instead of contributions. Indeed, It shows the importance of tuning the reward parameters, because that allows advancing in the Metagame rank evolution.
description RUC-APS is an international project run by 16 research institutions. The project's main goal is empowering agriculture production systems through innovative knowledge-based ICT solutions to deal with high risk and uncertain conditions. In this context, a Semantic Mediawiki is desired to support the various stakeholders in the agriculture value chain in the task of capturing and sharing agricultural best practices. Applying gamification to Wikis is one strategy to encourage the community to participate, and It could be achieved by attaching Metagame, a gamification layer system. However, It could be risky because the tunning of a gamification system in the production face of the wiki could be perceived by the users as a bug in the system. To avoid this situation, a simulation based on the real historical data of the Agriculture community in Wikipedia from 2001 to 2018 was performed. The simulation revealed that is not obvious to generate a system of awards on the type of actions carried out by the Wikipedia editors. The construction of knowledge is done in very small portions, and some of them can be confused with improvements or corrections instead of contributions. Indeed, It shows the importance of tuning the reward parameters, because that allows advancing in the Metagame rank evolution.
publishDate 2018
dc.date.none.fl_str_mv 2018-09-12
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