An Adaptive System for Emerging Serious Games Using a Swarm Intelligence Algorithm
An emerging serious game (SG) is a game designed and developed from an objective other than pure fun, so that the player can learn while playing, but where the game unfolds spontaneously, autonomously, and without explicit laws, adapting to the player. On the other hand, an emerging serious game eng...
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| Vydané v: | IEEE transactions on games Ročník 14; číslo 4; s. 598 - 609 |
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| Hlavní autori: | , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Piscataway
IEEE
01.12.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 2475-1502, 2475-1510 |
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| Abstract | An emerging serious game (SG) is a game designed and developed from an objective other than pure fun, so that the player can learn while playing, but where the game unfolds spontaneously, autonomously, and without explicit laws, adapting to the player. On the other hand, an emerging serious game engine (ESGE) must make explicit the possibility of emergence in an SG, from the coordinated handling of the game plot, adapted to the specific educational context where it is being used. In previous articles, an ESGE has been proposed, which allows the initial emergence of an SG. This article defines a new component of the ESGE, called the plot adaptive system (PAS), which allows the updating of an SG according to the theme that is being given in a smart classroom (SaCI). This component is based on an ant colony optimization algorithm that changes the plots/frames in the game to follow the desired theme in the SaCI. Thus, this new component manages a set of game plots that may be of interest in an educational context to dynamically modify an SG initially conceived for a subject taught in the SaCI, in order to adequate it to the current pedagogical context. The novelty of the approach is that it adapts the SG to the educational context where it takes place. Additionally, this article analyzes the behavior of the PAS in a case study, and presents three experiments with very encouraging results. |
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| AbstractList | An emerging serious game (SG) is a game designed and developed from an objective other than pure fun, so that the player can learn while playing, but where the game unfolds spontaneously, autonomously, and without explicit laws, adapting to the player. On the other hand, an emerging serious game engine (ESGE) must make explicit the possibility of emergence in an SG, from the coordinated handling of the game plot, adapted to the specific educational context where it is being used. In previous articles, an ESGE has been proposed, which allows the initial emergence of an SG. This article defines a new component of the ESGE, called the plot adaptive system (PAS), which allows the updating of an SG according to the theme that is being given in a smart classroom (SaCI). This component is based on an ant colony optimization algorithm that changes the plots/frames in the game to follow the desired theme in the SaCI. Thus, this new component manages a set of game plots that may be of interest in an educational context to dynamically modify an SG initially conceived for a subject taught in the SaCI, in order to adequate it to the current pedagogical context. The novelty of the approach is that it adapts the SG to the educational context where it takes place. Additionally, this article analyzes the behavior of the PAS in a case study, and presents three experiments with very encouraging results. |
| Author | Garcia, Nelson Perez Diaz, Francisco Aguilar, Jose Altamiranda, Junior Pinto, Angel Dario |
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| References | ref13 ref12 aguilar (ref2) 2016; 3 ref11 ref10 chan (ref1) 2017; 23 díaz (ref20) 2020; 8 ref17 ref16 ref19 millqvist (ref15) 2018 aguilar (ref3) 2014 sweetser (ref25) 0 ref24 ref26 el borji (ref18) 2014; 86 barajas (ref27) 2016; 18 ref22 ref21 ref8 ref7 khalid (ref14) 2020; 13 ref9 ref4 ref6 ref5 aguilar (ref23) 2001; 2 |
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| SubjectTerms | Adaptive systems Algorithms Ant colony optimization Ant colony optimization (ACO) Computer & video games Context Education Educational software emerging serious games (ESGs) Engines game adaptation system game engine Games Real-time systems smart classroom (SaCI) Swarm intelligence Task analysis |
| Title | An Adaptive System for Emerging Serious Games Using a Swarm Intelligence Algorithm |
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