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Customization of Contents for Acquisition of Skills of FPS without Trainer
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- Kubo Masao
- Computer Science, National Defense Academy
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- Ueno Takeshi
- Computer Science, National Defense Academy
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- Sato Hiroshi
- Computer Science, National Defense Academy
Description
In this paper, we conducted a study to develop self-study materials with the ability to provide more suitable materials for students' skills. A first person shooter (FPS) type simulator-based teaching material is created to acquire knowledge. Conventional games resume from a predetermined scene regardless of trainee's skill contributes to no increases in knowledge and skill. In this paper, we propose a re-spawning point suitable for each trainee by a recommendation algorithm which tries to find good game scenes by trial and error.
Journal
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- Proceedings of International Conference on Artificial Life and Robotics
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Proceedings of International Conference on Artificial Life and Robotics 25 767-769, 2020-01-13
ALife Robotics Corporation Ltd.
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Details 詳細情報について
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- CRID
- 1390283659853042176
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- ISSN
- 21887829
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
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- Abstract License Flag
- Disallowed