Título completo: Adaptive Gamification in Collaborative LocationCollecting Systems: a Case of Traveling Behavior Detection
Collaborative location collecting systems (CLCS) is aparticular case of collaborative systems where a com-munity of users collaboratively collects data associ-ated with a geo-referenced location. Gamification is astrategy to convene participants to CLCS. However, itcannot be generalized because of the different users’profiles, and so it must be tailored to the users andplaying contexts. A strategy for adapting gamificationin CLCS is to build game challenges tailored to theplayer’s spatio-temporal behavior. This type of adapta-tion requires having a user traveling behavior profile.Particularly, this work is focused on the first stepsto detect users’ behavioral profiles related to spatial-temporal activities in the context of CLCS. Specifi-cally, this article introduces: (1) a strategy to detectpatterns of spatial-temporal activities, (2) a model todescribe the spatial-temporal behavior of users basedon (1), and a strategy to detect users’ behavioral pat-terns based on unsupervised clustering. The approachis evaluated over a Foursquare dataset. The resultsshowed two types of behavioral atoms and two typesof users’ behavioral patterns.
Citar como: Mar\’\ia Dalponte Ayastuy and Diego Torres, «Adaptive gamification in collaborative location collecting systems: a case of traveling behavior detection,» Journal of Computer Science and Technology, vol. 22, pp. e05, apr. 2022.
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