Motivation through gamification: A Self-Determination Theory perspective for the design of an adaptive reward system

Publication date

2022

Authors

Botte, B.
Aarts, HenkISNI 0000000369416605
Bakkes, SanderISNI 0000000387676056
Veltkamp, R.C.ISNI 0000000109665680

Editors

Barbosa, Simone
Lampe, Cliff
Appert, Caroline
Shamma, David A.
Drucker, Steven
Williamson, Julie
Yatani, Koji

Advisors

Supervisors

DOI

Document Type

Part of book
Open Access logo

License

Abstract

Research on the nature and origins of human motivation has addressed the role of rewards in learning and behaviour. Gamification finds its raison d'être in being able to leverage motivational theories, to foster motivation in users through the use of game elements. One of the main criticisms moved to the use of gamification for learning purposes is related to the one-size-fits-all approach that tends to characterize many gamified applications. In this paper we explore the possibilities that can arise from the convergence of Self-Determination Theory principles and machine learning, to improve the efficacy of gamification reward systems.

Keywords

Human-centered computing, Human Computer Interaction, HCI theory, concepts and models, Gamification, Self-Determination Theory, Adaptive rewards

Citation

Botte, B, Aarts, H, Bakkes, S C J & Veltkamp, R C 2022, Motivation through gamification : A Self-Determination Theory perspective for the design of an adaptive reward system. in S Barbosa, C Lampe, C Appert, D A Shamma, S Drucker, J Williamson & K Yatani (eds), CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery. < https://webspace.science.uu.nl/~veltk101/publications/art/chi2022-sdtws.pdf >