Dynamic Difficulty Adjustment of Serious-Game Based on Synthetic Fog using Activity Theory Model
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...
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| Veröffentlicht in: | International journal of advanced computer science & applications 2023, Vol.14 (6) |
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| container_title | International journal of advanced computer science & applications |
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| creator | Nugroho, Fresy Basid, Puspa Miladin Nuraida Safitri Abdul Bahtiar, Firma Sahrul Buditjahjanto, I. G. P. Asto |
| description | 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. |
| doi_str_mv | 10.14569/IJACSA.2023.0140660 |
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| source | EZB-FREE-00999 freely available EZB journals |
| subjects | Boredom Computer & video games Computer science Educational software Educational technology Game theory Games Genetic algorithms Learning Library and information science Skills Thickness |
| title | Dynamic Difficulty Adjustment of Serious-Game Based on Synthetic Fog using Activity Theory Model |
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