Adaptive gamification in Collaborative systems, a systematic mapping study

Autores
Dalponte Ayastuy, María Nieves; Torres, Diego; Fernández, Alejandro
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Mass collaboration mediated by technology is now commonplace (Wikipedia, Quora, TripAdvisor). Online, mass collaboration is also present in science in the form of Citizen Science. These collaboration models, which have a large community of contributors coordinated to pursue a common goal, are known as Collaborative systems. This article introduces a study of the published research on the application of adaptive gamification to collaborative systems. The study focuses on works that explicitly discuss an approach of personalization or adaptation of the gamification elements in this type of system. It employs a systematic mapping design in which a categorical structure for classifying the research results is proposed based on the topics that emerged from the papers review. The main contributions of this paper are a formalization of the adaptation strategies and the proposal of a new taxonomy for gamification elements adaptation. The results evidence the lack of research literature in the study of adapting gamification in the field of collaborative systems. Considering the underlying cultural diversity in those projects, the adaptability of gamification design and strategies is a promissory research field.
Laboratorio de Investigación y Formación en Informática Avanzada
Materia
Ciencias Informáticas
Adaptive gamification
Collaborative systems
Systematic mapping
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-nd/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/119024

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spelling Adaptive gamification in Collaborative systems, a systematic mapping studyDalponte Ayastuy, María NievesTorres, DiegoFernández, AlejandroCiencias InformáticasAdaptive gamificationCollaborative systemsSystematic mappingMass collaboration mediated by technology is now commonplace (Wikipedia, Quora, TripAdvisor). Online, mass collaboration is also present in science in the form of Citizen Science. These collaboration models, which have a large community of contributors coordinated to pursue a common goal, are known as Collaborative systems. This article introduces a study of the published research on the application of adaptive gamification to collaborative systems. The study focuses on works that explicitly discuss an approach of personalization or adaptation of the gamification elements in this type of system. It employs a systematic mapping design in which a categorical structure for classifying the research results is proposed based on the topics that emerged from the papers review. The main contributions of this paper are a formalization of the adaptation strategies and the proposal of a new taxonomy for gamification elements adaptation. The results evidence the lack of research literature in the study of adapting gamification in the field of collaborative systems. Considering the underlying cultural diversity in those projects, the adaptability of gamification design and strategies is a promissory research field.Laboratorio de Investigación y Formación en Informática Avanzada2021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/119024enginfo:eu-repo/semantics/altIdentifier/issn/1574-0137info:eu-repo/semantics/altIdentifier/doi/10.1016/j.cosrev.2020.100333info:eu-repo/semantics/altIdentifier/hdl/11746/10860info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:19:55Zoai:sedici.unlp.edu.ar:10915/119024Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:19:55.515SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Adaptive gamification in Collaborative systems, a systematic mapping study
title Adaptive gamification in Collaborative systems, a systematic mapping study
spellingShingle Adaptive gamification in Collaborative systems, a systematic mapping study
Dalponte Ayastuy, María Nieves
Ciencias Informáticas
Adaptive gamification
Collaborative systems
Systematic mapping
title_short Adaptive gamification in Collaborative systems, a systematic mapping study
title_full Adaptive gamification in Collaborative systems, a systematic mapping study
title_fullStr Adaptive gamification in Collaborative systems, a systematic mapping study
title_full_unstemmed Adaptive gamification in Collaborative systems, a systematic mapping study
title_sort Adaptive gamification in Collaborative systems, a systematic mapping study
dc.creator.none.fl_str_mv Dalponte Ayastuy, María Nieves
Torres, Diego
Fernández, Alejandro
author Dalponte Ayastuy, María Nieves
author_facet Dalponte Ayastuy, María Nieves
Torres, Diego
Fernández, Alejandro
author_role author
author2 Torres, Diego
Fernández, Alejandro
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Adaptive gamification
Collaborative systems
Systematic mapping
topic Ciencias Informáticas
Adaptive gamification
Collaborative systems
Systematic mapping
dc.description.none.fl_txt_mv Mass collaboration mediated by technology is now commonplace (Wikipedia, Quora, TripAdvisor). Online, mass collaboration is also present in science in the form of Citizen Science. These collaboration models, which have a large community of contributors coordinated to pursue a common goal, are known as Collaborative systems. This article introduces a study of the published research on the application of adaptive gamification to collaborative systems. The study focuses on works that explicitly discuss an approach of personalization or adaptation of the gamification elements in this type of system. It employs a systematic mapping design in which a categorical structure for classifying the research results is proposed based on the topics that emerged from the papers review. The main contributions of this paper are a formalization of the adaptation strategies and the proposal of a new taxonomy for gamification elements adaptation. The results evidence the lack of research literature in the study of adapting gamification in the field of collaborative systems. Considering the underlying cultural diversity in those projects, the adaptability of gamification design and strategies is a promissory research field.
Laboratorio de Investigación y Formación en Informática Avanzada
description Mass collaboration mediated by technology is now commonplace (Wikipedia, Quora, TripAdvisor). Online, mass collaboration is also present in science in the form of Citizen Science. These collaboration models, which have a large community of contributors coordinated to pursue a common goal, are known as Collaborative systems. This article introduces a study of the published research on the application of adaptive gamification to collaborative systems. The study focuses on works that explicitly discuss an approach of personalization or adaptation of the gamification elements in this type of system. It employs a systematic mapping design in which a categorical structure for classifying the research results is proposed based on the topics that emerged from the papers review. The main contributions of this paper are a formalization of the adaptation strategies and the proposal of a new taxonomy for gamification elements adaptation. The results evidence the lack of research literature in the study of adapting gamification in the field of collaborative systems. Considering the underlying cultural diversity in those projects, the adaptability of gamification design and strategies is a promissory research field.
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