Relevance of non-activity representation in traveling user behavior profiling for adaptive gamification
| cic.institucionOrigen | Laboratorio de Investigación y Formación en Informática Avanzada (LIFIA) | es |
| cic.isFulltext | true | es |
| cic.isPeerReviewed | true | es |
| cic.lugarDesarrollo | Laboratorio de Investigación y Formación en Informática Avanzada | es |
| cic.version | info:eu-repo/semantics/publishedVersion | es |
| dc.date.accessioned | 2022-04-08T15:50:59Z | |
| dc.date.available | 2022-04-08T15:50:59Z | |
| dc.identifier.uri | https://digital.cic.gba.gob.ar/handle/11746/11545 | |
| dc.title | Relevance of non-activity representation in traveling user behavior profiling for adaptive gamification | en |
| dc.type | Documento de conferencia | es |
| dcterms.abstract | Collaborative 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.author | Dalponte Ayastuy, María | es |
| dcterms.creator.author | Torres, Diego | es |
| dcterms.identifier.other | doi: 10.1145/3471391.3471431 | es |
| dcterms.isPartOf.item | Interacción '21: Proceedings of the XXI International Conference on Human Computer Interaction | es |
| dcterms.isPartOf.series | XXI International Conference on Human Computer Interaction (España, 22 de septiembre de 2021) | es |
| dcterms.issued | 2021 | |
| dcterms.language | Inglés | es |
| dcterms.license | Attribution-NonCommercial-ShareAlike 4.0 International (BY-NC-SA 4.0) | es |
| dcterms.subject | User profiling | en |
| dcterms.subject | Adaptive gamification | en |
| dcterms.subject | Collaborative location collecting systems | en |
| dcterms.subject | Dynamic time warping clustering | en |
| dcterms.subject.materia | Ciencias de la Computación e Información | es |
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