Adaptive gamification in collaborative location collecting systems: a case of traveling behavior detection

Authors

DOI:

https://doi.org/10.24215/16666038.22.e05

Keywords:

Adaptive gamification challenges, Spatial-temporal user profiling, Users behavioural patterns

Abstract

Collaborative location collecting systems (CLCS) is a particular case of collaborative systems where a community of users collaboratively collects data associated with a geo-referenced location. Gamification is a strategy to convene participants to CLCS. However, it cannot be generalized because of the different users’ profiles, and so it must be tailored to the users and playing contexts. A strategy for adapting gamification in CLCS is to build game challenges tailored to the player’s spatio-temporal behavior. This type of adaptation requires having a user traveling behavior profile. Particularly, this work is focused on the first steps to detect users’ behavioral profiles related to spatial-temporal activities in the context of CLCS. Specifically, this article introduces: (1) a strategy to detect patterns of spatial-temporal activities, (2) a model to describe the spatial-temporal behavior of users based on (1), and a strategy to detect users’ behavioral patterns based on unsupervised clustering.  The approach is evaluated over a Foursquare dataset. The results showed two types of behavioral atoms and two  types of users’ behavioral patterns. 

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Published

2022-04-21

How to Cite

Dalponte Ayastuy, M., & Torres, D. (2022). Adaptive gamification in collaborative location collecting systems: a case of traveling behavior detection. Journal of Computer Science and Technology, 22(1), e05. https://doi.org/10.24215/16666038.22.e05

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Original Articles