Recommender Systems for Personalized Gamification
Loading...
Date
2017-07-09
Authors
Fortes Tondello, Gustavo
Orji, Rita
Nacke, Lennart
Journal Title
Journal ISSN
Volume Title
Publisher
ACM
Abstract
Gamification has been used in a variety of application domains to promote behaviour change. Nevertheless, the mechanisms behind it are still not fully understood. Recent empirical results have shown that personalized approaches can potentially achieve better results than generic approaches. However, we still lack a general framework for building personalized gameful applications. To address this gap, we present a novel general framework for personalized gameful applications using recommender systems (i.e., software tools and technologies to recommend suggestions to users that they might enjoy). This framework contributes to understanding and building effective persuasive and gameful applications by describing the different building blocks of a recommender system (users, items, and transactions) in a personalized gamification context.
Description
© Owners/Authors, 2017. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in UMAP '17 - Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization.DOI: 10.1145/3099023.3099114
Keywords
Gamification, Personalization, Recommender Systems