Design methodology of analytical games for knowledge acquisition

Analytical games explore a problem or a domain with a research purpose. Considerable research is ongoing to investigate improvements to analytical game design, execution and exploitation. Moreover, the fast-paced technological developments in many fields, such as artificial intelligence and virtual...

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Autores principales:	Francesca de Rosa, Alessandro De Gloria
Formato:	article
Lenguaje:	EN
Publicado:	Serious Games Society 2021
Materias:	Serious game, Analytical game, Knowledge acquisition, Design framework, Model-Driven Engineering, Human factors engineering Education L Electronic computers. Computer science QA75.5-76.95 Computer software QA76.75-76.765
Acceso en línea:	https://doaj.org/article/bedd7df1ebc04485ade368e0c4ed8839
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spelling	oai:doaj.org-article:bedd7df1ebc04485ade368e0c4ed88392021-12-02T09:19:55ZDesign methodology of analytical games for knowledge acquisition10.17083/ijsg.v8i4.4562384-8766https://doaj.org/article/bedd7df1ebc04485ade368e0c4ed88392021-12-01T00:00:00Zhttp://journal.seriousgamessociety.org/index.php/IJSG/article/view/456https://doaj.org/toc/2384-8766 Analytical games explore a problem or a domain with a research purpose. Considerable research is ongoing to investigate improvements to analytical game design, execution and exploitation. Moreover, the fast-paced technological developments in many fields, such as artificial intelligence and virtual reality, make it even more compellingto account for the advantages and limitations of these new capabilities. In game design, the use of digital means is often regarded as a mere technical factor that relates to the platform selection, facilitator support and data recording processes. In this work a shift in perspective is proposed, to move from technology-oriented design selection criteria towards a broader assessment of the design choices. In fact, the introductionof technology (i.e., automation and autonomy) will not lead to a substitution of tasks, but will intrinsically change the game environment. This work introduces a framework to provide a structured guidance on the aspects to be factored in the different design phases of an analytical game, including the potential impact of the adoption of automation and autonomy. The proposed approach is based on previous research in the fieldof simulation-based serious gaming, model-driven engineering and human factors engineering. The framework is applied to Knowledge Acquisition Analytical Games as a case study. Francesca de RosaAlessandro De GloriaSerious Games SocietyarticleSerious game, Analytical game, Knowledge acquisition, Design framework, Model-Driven Engineering, Human factors engineeringEducationLElectronic computers. Computer scienceQA75.5-76.95Computer softwareQA76.75-76.765ENInternational Journal of Serious Games, Vol 8, Iss 4 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Serious game, Analytical game, Knowledge acquisition, Design framework, Model-Driven Engineering, Human factors engineering Education L Electronic computers. Computer science QA75.5-76.95 Computer software QA76.75-76.765
spellingShingle	Serious game, Analytical game, Knowledge acquisition, Design framework, Model-Driven Engineering, Human factors engineering Education L Electronic computers. Computer science QA75.5-76.95 Computer software QA76.75-76.765 Francesca de Rosa Alessandro De Gloria Design methodology of analytical games for knowledge acquisition
description	Analytical games explore a problem or a domain with a research purpose. Considerable research is ongoing to investigate improvements to analytical game design, execution and exploitation. Moreover, the fast-paced technological developments in many fields, such as artificial intelligence and virtual reality, make it even more compellingto account for the advantages and limitations of these new capabilities. In game design, the use of digital means is often regarded as a mere technical factor that relates to the platform selection, facilitator support and data recording processes. In this work a shift in perspective is proposed, to move from technology-oriented design selection criteria towards a broader assessment of the design choices. In fact, the introductionof technology (i.e., automation and autonomy) will not lead to a substitution of tasks, but will intrinsically change the game environment. This work introduces a framework to provide a structured guidance on the aspects to be factored in the different design phases of an analytical game, including the potential impact of the adoption of automation and autonomy. The proposed approach is based on previous research in the fieldof simulation-based serious gaming, model-driven engineering and human factors engineering. The framework is applied to Knowledge Acquisition Analytical Games as a case study.
format	article
author	Francesca de Rosa Alessandro De Gloria
author_facet	Francesca de Rosa Alessandro De Gloria
author_sort	Francesca de Rosa
title	Design methodology of analytical games for knowledge acquisition
title_short	Design methodology of analytical games for knowledge acquisition
title_full	Design methodology of analytical games for knowledge acquisition
title_fullStr	Design methodology of analytical games for knowledge acquisition
title_full_unstemmed	Design methodology of analytical games for knowledge acquisition
title_sort	design methodology of analytical games for knowledge acquisition
publisher	Serious Games Society
publishDate	2021
url	https://doaj.org/article/bedd7df1ebc04485ade368e0c4ed8839
work_keys_str_mv	AT francescaderosa designmethodologyofanalyticalgamesforknowledgeacquisition AT alessandrodegloria designmethodologyofanalyticalgamesforknowledgeacquisition
_version_	1718398145444970496

Design methodology of analytical games for knowledge acquisition

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