Turning Users' In-Game Behaviours into Actionable Adaptive Gamification Strategies using the PEAS Framework

Enrica Loria, Stuart Hallifax, Maximilian Altmeyer, Lennart E. Nacke, Annapaola Marconi

In: Proceedings of the 55th Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences (HICSS-2022) January 3-7 Hawaii HI United States HICSS Association for Information Systems 2022.


Adaptive gamification answers the need to customize engagement strategies because users are motivated by different game elements and mechanics. To better understand these individual preferences, user modelling is vital. However, gameful designers must make many decisions on matching profiling data to actual adaptation strategies, which makes modelling particularly challenging. The lack of a standardized and guided process for adaptive gamification hinders replicability, comparability, and complicates making adaptation dynamic. In this study, we analyzed a persuasive gameful application (Play\&Go) to show how in-game behaviours can be translated into adaptation strategies. We used an existing adaptation framework (PEAS) grounded in the games and gamification literature. Our work demonstrates the suitability of the PEAS model as a shared, standardized method for adaptive gamification and shows how it can guide the process of transforming user behaviours into actionable adaptation strategies.

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German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz