Toward Automatic Generation of Training Systems in RPGs Skill Classification and Feature Extraction
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- SAITO Yuni
- Future University Hakodate
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- MURAI Hajime
- Future University Hakodate
Bibliographic Information
- Other Title
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- RPGにおける育成システムの自動生成に向けたスキルの分類と特徴の抽出
Description
<p>In recent years, engineering research in the field of digital games has been progressing. However, little research has been conducted to systematize the way characters grow and to automatically generate a nurturing system. In this study, we clarify the mechanism of character development systems to prevent players from becoming bored, and classify and characterize the elements of character development for automatic generation of character development systems. Skills, which are one of the elements of character development in existing games, were extracted and classified into 22 types. We further divided the time series into the beginning, middle, and end of the game, and analyzed the trends in the timing of acquiring skills. Comparison of the ratios, χ-square tests, and residual analyses of the time series for each game showed that the common trends for each game were a decreasing trend for "weak assistance" and "abnormal conditions" and an increasing trend for "special attacks" and "enhanced assistance. The results of this study can be applied to the design of game systems to prevent players from becoming bored.</p>
Journal
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- Proceedings of the Annual Conference of JSAI
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Proceedings of the Annual Conference of JSAI JSAI2023 (0), 4T3GS1004-4T3GS1004, 2023
The Japanese Society for Artificial Intelligence
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Keywords
Details 詳細情報について
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- CRID
- 1390578283198240640
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- ISSN
- 27587347
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- Text Lang
- ja
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- Data Source
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- JaLC
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- Abstract License Flag
- Disallowed