Artificial intelligence moving serious gaming: Presenting reusable game AI components

Wim Westera; Rui Prada; Samuel Mascarenhas; Pedro A. Santos; João Dias; Manuel Guimarães; Konstantinos. Georgiadis; Enkhbold Nyamsuren; Kiavash Bahreini; Zerrin Yumak; Chris Christyowidiasmoro; Mihai Dascalu; Gabriel Gutu-Robu; Stefan Ruseti

doi:10.1007/s10639-019-09968-2

Artificial intelligence moving serious gaming: Presenting reusable game AI components

Wim Westera^*, Rui Prada, Samuel Mascarenhas, Pedro A. Santos, João Dias, Manuel Guimarães, Konstantinos. Georgiadis, Enkhbold Nyamsuren, Kiavash Bahreini, Zerrin Yumak, Chris Christyowidiasmoro, Mihai Dascalu, Gabriel Gutu-Robu, Stefan Ruseti

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

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Abstract

This article provides a comprehensive overview of artificial intelligence (AI) for serious games. Reporting about the work of a European flagship project on serious game technologies, it presents a set of advanced game AI components that enable pedagogical affordances and that can be easily reused across a wide diversity of game engines and game platforms. Serious game AI functionalities include player modelling (real-time facial emotion recognition, automated difficulty adaptation, stealth assessment), natural language processing (sentiment analysis and essay scoring on free texts), and believable non-playing characters (emotional and socio-cultural, non-verbal bodily motion, and lip-synchronised speech), respectively. The reuse of these components enables game developers to develop high quality serious games at reduced costs and in shorter periods of time. All these components are open source software and can be freely downloaded from the newly launched portal at gamecomponents.eu. The components come with detailed installation manuals and tutorial videos. All components have been applied and validated in serious games that were tested with real end-users.

Original language	English
Pages (from-to)	351-380
Number of pages	30
Journal	Education and Information Technologies
Volume	25
Issue number	1
Early online date	30 Jul 2019
DOIs	https://doi.org/10.1007/s10639-019-09968-2
Publication status	Published - Jan 2020

Keywords

Artificial Intelligence
Artificial intelligence
COMMUNICATION
Component-based architecture
FRAMEWORK
Game Development
Game development
Intelligent tutoring systems
SKILLS
STEALTH ASSESSMENT
Serious Games
Serious games
Software Reuse
Software reuse
component-based Architecture
intelligent tutoring systems

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10.1007/s10639-019-09968-2Licence: CC BY

Rage: Realising an Applied Gaming Eco-system
Westera, W. (PI), Georgiadis, K. (CoI), Saveski, G. (CoI), van Lankveld, G. (CoI), Bahreini, K. (CoI), van der Vegt, W. (CoI), Berkhout, J. (CoI), Nyamsuren, E. (CoI), Kluijfhout, E. (CoI) & Nadolski, R. (CoI)
European Union
1/02/15 → 31/07/19
Project: Research

Cite this

Westera, W., Prada, R., Mascarenhas, S., Santos, P. A., Dias, J., Guimarães, M., Georgiadis, K., Nyamsuren, E., Bahreini, K., Yumak, Z., Christyowidiasmoro, C., Dascalu, M., Gutu-Robu, G., & Ruseti, S. (2020). Artificial intelligence moving serious gaming: Presenting reusable game AI components. Education and Information Technologies, 25(1), 351-380. https://doi.org/10.1007/s10639-019-09968-2

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abstract = "This article provides a comprehensive overview of artificial intelligence (AI) for serious games. Reporting about the work of a European flagship project on serious game technologies, it presents a set of advanced game AI components that enable pedagogical affordances and that can be easily reused across a wide diversity of game engines and game platforms. Serious game AI functionalities include player modelling (real-time facial emotion recognition, automated difficulty adaptation, stealth assessment), natural language processing (sentiment analysis and essay scoring on free texts), and believable non-playing characters (emotional and socio-cultural, non-verbal bodily motion, and lip-synchronised speech), respectively. The reuse of these components enables game developers to develop high quality serious games at reduced costs and in shorter periods of time. All these components are open source software and can be freely downloaded from the newly launched portal at gamecomponents.eu. The components come with detailed installation manuals and tutorial videos. All components have been applied and validated in serious games that were tested with real end-users.",

keywords = "Artificial Intelligence, Artificial intelligence, COMMUNICATION, Component-based architecture, FRAMEWORK, Game Development, Game development, Intelligent tutoring systems, SKILLS, STEALTH ASSESSMENT, Serious Games, Serious games, Software Reuse, Software reuse, component-based Architecture, intelligent tutoring systems",

author = "Wim Westera and Rui Prada and Samuel Mascarenhas and Santos, {Pedro A.} and Jo{\~a}o Dias and Manuel Guimar{\~a}es and Konstantinos. Georgiadis and Enkhbold Nyamsuren and Kiavash Bahreini and Zerrin Yumak and Chris Christyowidiasmoro and Mihai Dascalu and Gabriel Gutu-Robu and Stefan Ruseti",

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doi = "10.1007/s10639-019-09968-2",

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Westera, W, Prada, R, Mascarenhas, S, Santos, PA, Dias, J, Guimarães, M, Georgiadis, K, Nyamsuren, E, Bahreini, K, Yumak, Z, Christyowidiasmoro, C, Dascalu, M, Gutu-Robu, G & Ruseti, S 2020, 'Artificial intelligence moving serious gaming: Presenting reusable game AI components', Education and Information Technologies, vol. 25, no. 1, pp. 351-380. https://doi.org/10.1007/s10639-019-09968-2

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T2 - Presenting reusable game AI components

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AU - Mascarenhas, Samuel

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AU - Dias, João

AU - Guimarães, Manuel

AU - Georgiadis, Konstantinos.

AU - Nyamsuren, Enkhbold

AU - Bahreini, Kiavash

AU - Yumak, Zerrin

AU - Christyowidiasmoro, Chris

AU - Dascalu, Mihai

AU - Gutu-Robu, Gabriel

AU - Ruseti, Stefan

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AB - This article provides a comprehensive overview of artificial intelligence (AI) for serious games. Reporting about the work of a European flagship project on serious game technologies, it presents a set of advanced game AI components that enable pedagogical affordances and that can be easily reused across a wide diversity of game engines and game platforms. Serious game AI functionalities include player modelling (real-time facial emotion recognition, automated difficulty adaptation, stealth assessment), natural language processing (sentiment analysis and essay scoring on free texts), and believable non-playing characters (emotional and socio-cultural, non-verbal bodily motion, and lip-synchronised speech), respectively. The reuse of these components enables game developers to develop high quality serious games at reduced costs and in shorter periods of time. All these components are open source software and can be freely downloaded from the newly launched portal at gamecomponents.eu. The components come with detailed installation manuals and tutorial videos. All components have been applied and validated in serious games that were tested with real end-users.

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KW - FRAMEWORK

KW - Game Development

KW - Game development

KW - Intelligent tutoring systems

KW - SKILLS

KW - STEALTH ASSESSMENT

KW - Serious Games

KW - Serious games

KW - Software Reuse

KW - Software reuse

KW - component-based Architecture

KW - intelligent tutoring systems

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SN - 1360-2357

VL - 25

SP - 351

EP - 380

JO - Education and Information Technologies

JF - Education and Information Technologies

IS - 1

ER -

Artificial intelligence moving serious gaming: Presenting reusable game AI components

Abstract

Keywords

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Rage: Realising an Applied Gaming Eco-system

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