Personalized gamification : a model for play data profiling
Rajanen, Dorina; Rajanen, Mikko (2017-11-02)
Rajanen, D. & Rajanen, M. (2017). Personalized gamification : a model for play data profiling. In M. Meder, A. Rapp, T. Plumbaum, and F. Hopfgartner (Eds.), Data-driven gamification design : proceedings of the First International Workshop on Data-Driven Gamification Design (DDGD 2017), Tampere, Finland, 20 September 2017 (pp. 26-33). Aachen : Rheinisch-Westfaelische Technische Hochschule Aachen.
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This paper proposes model for introducing personalized game-design elements in a gamification system. The model is based on user-centred design, human values theory, and gamification design framework. The proposed model promotes the idea of a baseline game component that is meant to acquire online, real-time data about the cognitive and emotional state of the individual, and based on the collected data to adjust the gamified system to the state of the user. This framework, which we name Play Data Profiling (PDP), describes a model of collecting and processing data before, during and after the actual use of the gamified application in order to optimize the subsequent user experience and outcome. Implications and future work are discussed
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