Dynamic difficulty adjustment of serious-game based on synthetic fog using activity theory model

Nugroho, Fresy ORCID: https://orcid.org/0000-0001-9448-316X, Basid, Puspa Miladin Nuraida Safitri A, Bahtiar, Firma Sahrul ORCID: https://orcid.org/0000-0002-6812-198X and Buditjahjanto, I.G.P. Asto (2023) Dynamic difficulty adjustment of serious-game based on synthetic fog using activity theory model. International Journal of Advanced Computer Science and Applications (IJACSA), 14 (6). pp. 564-573. ISSN 2156-5570

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Abstract

This study used the activity theory model to determine the dynamic difficulty adjustment of serious-game based on synthetic fog. The difference in difficulty levels was generated in a 3-dimensional game environment with changes determined by applying varying fog thickness. The activity theory model in serious-games aims to facilitate development analysis in terms of learning content, the equipment used, and the resulting in-game action. The difficulty levels vary according to the player's ability because the game is expected to reduce boredom and frustration. Furthermore, this study simulated scenarios of various conditions, scores, time remaining, and the lives of synthetic players. The experimental results showed that the system can change the game environment with different fog thicknesses according to synthetic player parameters.

Item Type:	Journal Article
Keywords:	dynamic difficulty adjustment; serious-game; activity theory model; synthetic fog; synthetic player
Subjects:	08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080111 Virtual Reality and Related Simulation
Divisions:	Faculty of Technology > Department of Informatics Engineering
Depositing User:	Fresy Nugroho
Date Deposited:	03 Jul 2023 09:22

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