Automatic Calibration for a Mutual Insurance System in a Multi-Player Serious Game

Abstract

In the context of a serious educational game that motivates children to adopt more sustainable
home-to-school mobility habits, we designed and implemented a collaborative multi-player mutual insurance
system, with the intent to support low-performing players with the help of high-performing ones. As a
preliminary step towards a field study evaluating this new game mechanic, in this paper we present the design
and the development for an automatic calibration of the system, simulating the effects of the choices for each
parameter in the player's game progression.