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Abstract
This paper comprehensively reviews the metrics for measuring the diversity of game scenarios, spotlighting the innovative use of procedural content generation and other fields as cornerstones for enriching player experiences through diverse game scenarios. By traversing a wide array of disciplines, from affective modeling and multiagent systems to psychological studies, our research underscores the importance of diverse game scenarios in gameplay and education. Through a taxonomy of diversity metrics and evaluation methods, we aim to bridge the current gaps in literature and practice, offering insights into effective strategies for measuring and integrating diversity in game scenarios. Our analysis highlights the necessity for a unified taxonomy to aid developers and researchers in crafting more engaging and varied game worlds. This survey not only charts a path for future research in diverse game scenarios but also serves as a handbook for industry practitioners seeking to leverage diversity as a key component of game design and development.
| Original language | English |
|---|---|
| Pages (from-to) | 558-581 |
| Number of pages | 24 |
| Journal | IEEE Transactions on Games |
| Volume | 17 |
| Issue number | 3 |
| Early online date | 20 Feb 2025 |
| DOIs | |
| Publication status | Published - Sept 2025 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Funding
This work was supported in part by the National Key R&D Program of China under Grant 2023YFE0106300, in part by the National Natural Science Foundation of China under Grant 62476119 and Grant 62250710682, in part by the Lingnan University under Grant SUG-008/2425, and in part by the Hong Kong SAR, China.
Keywords
- Diversity
- game level
- game map
- game scenario
- procedural content generation
- survey
- video games
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Ethical considerations of large language models in sequential decision making
LIU, J. (PI)
1/01/25 → 31/12/26
Project: Grant Research