Abstract
This paper proposes the use of a new data toolchain for serious games analytics. The toolchain relies on the open source Measurify Internet of Things (IoT) framework, and particularly takes advantage of its edge computing extension (namely, Edgine), which can be seamlessly deployed cross-platform on embedded devices and PCs as well. The Edgine is programmed to download from Measurify a set of scripts, that are periodically executed so to get data from sensors, pre-process them and send the extracted information to the Measurify APIs. Virtual sensors can be built in game engine scripts. This paper describes the implementation of the plug-in which deploys Edgine in Unity 3D, allowing an easy delivery of virtual sensor information to Measurify. Just as a proof of concept, we present the utilization of the whole chain within a trivial game scene, showing the application development efficiency provided by a tool which is made available open source to researchers and developers.
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Lazzaroni, L., Mazzara, A., Bellotti, F., De Gloria, A., Berta, R. (2020). Employing an IoT Framework as a Generic Serious Games Analytics Engine. In: Marfisi-Schottman, I., Bellotti, F., Hamon, L., Klemke, R. (eds) Games and Learning Alliance. GALA 2020. Lecture Notes in Computer Science(), vol 12517. Springer, Cham. https://doi.org/10.1007/978-3-030-63464-3_8
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