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Adaptive gamification in collaborative location collecting systems: a case of traveling behavior detection
DOI:
https://doi.org/10.24215/16666038.22.e05Keywords:
Adaptive gamification challenges, Spatial-temporal user profiling, Users behavioural patternsAbstract
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
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Copyright (c) 2022 María Dalponte Ayastuy, Diego Torres
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
[1]
“Adaptive gamification in collaborative location collecting systems: a case of traveling behavior detection”, JCS&T, vol. 22, no. 1, p. e05, Apr. 2022, doi: 10.24215/16666038.22.e05.
