Measuring Diversity of Game Scenarios

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

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

Abstract

This survey 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 multi-agent 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
Number of pages29
JournalIEEE Transactions on Games
Early online date20 Feb 2025
DOIs
Publication statusE-pub ahead of print - 20 Feb 2025

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Game scenario
  • diversity
  • game level
  • game map
  • procedural content generation

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