Pareto-based Dynamic Difficulty Adjustment of a competitive exergame for arm rehabilitation

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Oladayo S. Ajani, Rammohan Mallipeddi

Published: 2023, Last Modified: 28 Sept 2025Int. J. Hum. Comput. Stud. 2023EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Dynamic Difficulty Adjustment (DDA) of rehabilitation games features conflicting objectives.•Pareto-based DDA (PDDA) of a competitive exergame is proposed in this paper.•The PDDA is capable of generating trade-off solutions between conflicting objectives.•Experimental results show that PDDA can improve user motivation and flow experience.