Abstract
In this paper we propose a solution to introduce a function for difficulty degree of achieving a simple, uni-dimensional goal of a level of an exergame. This solution, takes advantage of a statistical method built upon the results of the specific cerebral palsy (CP) player under study, inspired from normal distribution. It is appropriate for CPs, since it favors a content-based approach which is formed upon each player’s personal results. Using a population of 20 CP patients trying to achieve the goals of games, we arrived to an 85% correlation between number of goal achievement failures and our introduced difficulty function.
This work has been supported by the GABLE project funded by the European Commission under grant agreement No 732363.
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Rahmani, M., Herrera, B., Kachmar, O., Cristiano, J., Puig, D. (2018). Instant Measurement of the Difficulty Level of Exergames with Simple Uni-dimensional Level Goals for Cerebral Palsy Players. In: Göbel, S., et al. Serious Games. JCSG 2018. Lecture Notes in Computer Science(), vol 11243. Springer, Cham. https://doi.org/10.1007/978-3-030-02762-9_29
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