Measuring Diversity of Game Scenarios
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.
Authors
- Qingquan Zhang (ORCID: https://orcid.org/0000-0001-7715-4639)
- Bo Yuan (ORCID: https://orcid.org/0000-0001-9899-8961)
- Yuchen Li
- Ziqi Wang
- Jialin Liu (ORCID: https://orcid.org/0000-0001-7047-8454)
Institutions
- Hong Kong University of Science and Technology (HK)
- Southern University of Science and Technology (CN)
- New York University (US)
Publication Details
- Journal
- IEEE Transactions on Games
- Published
- 2025-02-20
- DOI
- https://doi.org/10.1109/tg.2025.3543135
- Citations
- 5
- Primary Topic
- Digital Games and Media
- Type
- article
- Field-Weighted Citation Impact
- 16.81
Funders
- National Natural Science Foundation of China
- Lingnan University