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

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

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

By María Dalponte Ayastuy and Diego Torres

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 spatialtemporal 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.”

Reference

Dalponte Ayastuy, M., & Torres, D. (2022). Adaptive gamification in collaborative location collecting systems: A case of traveling behavior detection. Retrieved May 11, 2022, from https://digital.cic.gba.gob.ar/handle/11746/11560

Keyword

Gamification, traveling, behavior, collecting systems, clustering, research