AIApr 15, 2024

Measuring Diversity of Game Scenarios

arXiv:2404.15192v311 citationsh-index: 6IEEE Trans Game
Originality Synthesis-oriented
AI Analysis

It addresses the need for a unified approach to enhance game design and player experiences, though it is incremental as it synthesizes existing knowledge rather than introducing new empirical results.

This survey tackles the problem of measuring diversity in game scenarios by reviewing existing literature and proposing a taxonomy of metrics and evaluation methods, aiming to bridge gaps in research and practice for developers and researchers.

This survey comprehensively reviews the multi-dimensionality of game scenario diversity, 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.

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