Adaptive gamification of citizen science projects

Autores
Dalponte Ayastuy, María; Torres, Diego
Año de publicación
2021
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
This article presents the doctoral proposal whose main objective is to develop an adaptation device for the game elements and mechanics in citizen science projects, based on the user behaviour and the community ecosystem. Gamification is a strategy to convene participants to citizen science projects. However, it cannot be generalized because of the different users’ profiles, and so it must be tailored to the users and playing contexts. Specifically, this article introduces the main and secondary objectives, the methodology and the expected results of these doctoral proposal.
Materia
Ciencias de la Computación
Human computer interaction (HCI)
Machine learning
User profiling
Adaptive gamification
Collaborative location collecting systems
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-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:11746/11338
Acceder
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oai_identifier_str oai:digital.cic.gba.gob.ar:11746/11338
network_acronym_str CICBA
repository_id_str 9441
network_name_str CIC Digital (CICBA)
spelling Adaptive gamification of citizen science projectsDalponte Ayastuy, MaríaTorres, DiegoCiencias de la ComputaciónHuman computer interaction (HCI)Machine learningUser profilingAdaptive gamificationCollaborative location collecting systemsThis article presents the doctoral proposal whose main objective is to develop an adaptation device for the game elements and mechanics in citizen science projects, based on the user behaviour and the community ecosystem. Gamification is a strategy to convene participants to citizen science projects. However, it cannot be generalized because of the different users’ profiles, and so it must be tailored to the users and playing contexts. Specifically, this article introduces the main and secondary objectives, the methodology and the expected results of these doctoral proposal.2021-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/11338enginfo:eu-repo/semantics/altIdentifier/isbn/978-84-1335-113-1info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-sa/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-09-11T10:18:27Zoai:digital.cic.gba.gob.ar:11746/11338Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-09-11 10:18:27.619CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse
dc.title.none.fl_str_mv Adaptive gamification of citizen science projects
title Adaptive gamification of citizen science projects
spellingShingle Adaptive gamification of citizen science projects
Dalponte Ayastuy, María
Ciencias de la Computación
Human computer interaction (HCI)
Machine learning
User profiling
Adaptive gamification
Collaborative location collecting systems
title_short Adaptive gamification of citizen science projects
title_full Adaptive gamification of citizen science projects
title_fullStr Adaptive gamification of citizen science projects
title_full_unstemmed Adaptive gamification of citizen science projects
title_sort Adaptive gamification of citizen science projects
dc.creator.none.fl_str_mv Dalponte Ayastuy, María
Torres, Diego
author Dalponte Ayastuy, María
author_facet Dalponte Ayastuy, María
Torres, Diego
author_role author
author2 Torres, Diego
author2_role author
dc.subject.none.fl_str_mv Ciencias de la Computación
Human computer interaction (HCI)
Machine learning
User profiling
Adaptive gamification
Collaborative location collecting systems
topic Ciencias de la Computación
Human computer interaction (HCI)
Machine learning
User profiling
Adaptive gamification
Collaborative location collecting systems
dc.description.none.fl_txt_mv This article presents the doctoral proposal whose main objective is to develop an adaptation device for the game elements and mechanics in citizen science projects, based on the user behaviour and the community ecosystem. Gamification is a strategy to convene participants to citizen science projects. However, it cannot be generalized because of the different users’ profiles, and so it must be tailored to the users and playing contexts. Specifically, this article introduces the main and secondary objectives, the methodology and the expected results of these doctoral proposal.
description This article presents the doctoral proposal whose main objective is to develop an adaptation device for the game elements and mechanics in citizen science projects, based on the user behaviour and the community ecosystem. Gamification is a strategy to convene participants to citizen science projects. However, it cannot be generalized because of the different users’ profiles, and so it must be tailored to the users and playing contexts. Specifically, this article introduces the main and secondary objectives, the methodology and the expected results of these doctoral proposal.
publishDate 2021
dc.date.none.fl_str_mv 2021-09
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv https://digital.cic.gba.gob.ar/handle/11746/11338
url https://digital.cic.gba.gob.ar/handle/11746/11338
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-84-1335-113-1
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-sa/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-sa/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
reponame_str CIC Digital (CICBA)
collection CIC Digital (CICBA)
instname_str Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron_str CICBA
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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score 12.993085

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