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Article

Employing an IoT Framework as a Generic Serious Games Analytics Engine

Authors:

Luca Lazzaroni,

Andrea Mazzara,

Francesco Bellotti,

Alessandro De Gloria,

Riccardo BertaAuthors Info & Claims

Games and Learning Alliance: 9th International Conference, GALA 2020, Laval, France, December 9–10, 2020, Proceedings

Pages 79 - 88

https://doi.org/10.1007/978-3-030-63464-3_8

Published: 09 December 2020 Publication History

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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Cited By

Pighetti AForneris LBellotti FCapello ACossu MGioco GBerta R(2023)A Teacher-Configurable Scoring System for Serious GamesGames and Learning Alliance10.1007/978-3-031-49065-1_25(254-263)Online publication date: 29-Nov-2023
https://dl.acm.org/doi/10.1007/978-3-031-49065-1_25
Pighetti AForneris LLazzaroni LBellotti FCapello ACossu MDe Gloria ABerta R(2022)High-Level Decision-Making Non-player VehiclesGames and Learning Alliance10.1007/978-3-031-22124-8_22(223-233)Online publication date: 30-Nov-2022
https://dl.acm.org/doi/10.1007/978-3-031-22124-8_22
Campodonico GBellotti FBerta RCapello ACossu MDe Gloria ALazzaroni LTaccioli TDavio F(2021)Adapting Autonomous Agents for Automotive Driving GamesGames and Learning Alliance10.1007/978-3-030-92182-8_10(101-110)Online publication date: 1-Dec-2021
https://dl.acm.org/doi/10.1007/978-3-030-92182-8_10

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Information & Contributors

Information

Published In

cover image Guide Proceedings

Games and Learning Alliance: 9th International Conference, GALA 2020, Laval, France, December 9–10, 2020, Proceedings

Dec 2020

457 pages

ISBN:978-3-030-63463-6

DOI:10.1007/978-3-030-63464-3

Editors:
Iza Marfisi-Schottman
Le Mans University, Le Mans, France
,
Francesco Bellotti
University of Genoa, Genoa, Italy
,
Ludovic Hamon
Le Mans University, Le Mans, France
,
Roland Klemke
Open University of the Netherlands, Heerlen, The Netherlands

© Springer Nature Switzerland AG 2020.

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 09 December 2020

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Cited By

Pighetti AForneris LBellotti FCapello ACossu MGioco GBerta R(2023)A Teacher-Configurable Scoring System for Serious GamesGames and Learning Alliance10.1007/978-3-031-49065-1_25(254-263)Online publication date: 29-Nov-2023
https://dl.acm.org/doi/10.1007/978-3-031-49065-1_25
Pighetti AForneris LLazzaroni LBellotti FCapello ACossu MDe Gloria ABerta R(2022)High-Level Decision-Making Non-player VehiclesGames and Learning Alliance10.1007/978-3-031-22124-8_22(223-233)Online publication date: 30-Nov-2022
https://dl.acm.org/doi/10.1007/978-3-031-22124-8_22
Campodonico GBellotti FBerta RCapello ACossu MDe Gloria ALazzaroni LTaccioli TDavio F(2021)Adapting Autonomous Agents for Automotive Driving GamesGames and Learning Alliance10.1007/978-3-030-92182-8_10(101-110)Online publication date: 1-Dec-2021
https://dl.acm.org/doi/10.1007/978-3-030-92182-8_10

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