Measuring Diversity of Game Scenarios

Yuchen LI, Ziqi WANG, Qingquan ZHANG, Bo YUAN, Jialin LIU*

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

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 languageEnglish
Pages (from-to)558-581
Number of pages24
JournalIEEE Transactions on Games
Volume17
Issue number3
Early online date20 Feb 2025
DOIs
Publication statusPublished - 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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