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dc.date.accessioned 2021-05-19T14:48:19Z
dc.date.available 2021-05-19T14:48:19Z
dc.date.issued 2021
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/119024
dc.description.abstract 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. en
dc.language en es
dc.subject Adaptive gamification es
dc.subject Collaborative systems es
dc.subject Systematic mapping es
dc.title Adaptive gamification in Collaborative systems, a systematic mapping study en
dc.type Articulo es
sedici.identifier.other https://doi.org/10.1016/j.cosrev.2020.100333 es
sedici.identifier.other https://digital.cic.gba.gob.ar/handle/11746/10860 es
sedici.identifier.issn 1574-0137 es
sedici.creator.person Dalponte Ayastuy, María Nieves es
sedici.creator.person Torres, Diego es
sedici.creator.person Fernández, Alejandro es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Laboratorio de Investigación y Formación en Informática Avanzada es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
sedici.description.peerReview peer-review es
sedici.relation.journalTitle Computer Science Review es
sedici.relation.journalVolumeAndIssue vol. 39 es


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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)