Relevance of non-activity representation in traveling user behavior profiling for adaptive gamification

cic.institucionOrigenLaboratorio de Investigación y Formación en Informática Avanzada (LIFIA)es
cic.lugarDesarrolloLaboratorio de Investigación y Formación en Informática Avanzadaes
dc.titleRelevance of non-activity representation in traveling user behavior profiling for adaptive gamificationen
dc.typeDocumento de conferenciaes
dcterms.abstractCollaborative location collecting systems (CLCS) are collaborative systems where users collects location-based data. When these systems are gamified and aim to adapt the game elements to each user, it may require a user traveling behavior profile. This work presents two approaches of traveling user behavior profiling: a raw series built up with categorical data that describes the user’s activity in a period, and a timed series that is an enhanced version of the first that includes a representation of the non-activity time frames. The profiling of user traveling behavior can be used in adaptive gamification strategies. The approach is evaluated over a behavioral atoms dataset based on a year of Foursquare check-ins. The results showed that both approaches reflex different aspects of traveling user behavior, and also both could be used in a complementary manner.en
dcterms.creator.authorDalponte Ayastuy, Maríaes
dcterms.creator.authorTorres, Diegoes
dcterms.identifier.otherdoi: 10.1145/3471391.3471431es
dcterms.isPartOf.itemInteracción '21: Proceedings of the XXI International Conference on Human Computer Interactiones
dcterms.isPartOf.seriesXXI International Conference on Human Computer Interaction (España, 22 de septiembre de 2021)es
dcterms.licenseAttribution-NonCommercial-ShareAlike 4.0 International (BY-NC-SA 4.0)es
dcterms.subjectUser profilingen
dcterms.subjectAdaptive gamificationen
dcterms.subjectCollaborative location collecting systemsen
dcterms.subjectDynamic time warping clusteringen
dcterms.subject.materiaCiencias de la Computación e Informaciónes
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