Measuring Diversity of Game Scenarios
Yuchen Li, Ziqi Wang, Qingquan Zhang, Bo Yuan, Jialin Liu

TL;DR
This survey reviews the importance of diverse game scenarios, exploring methods to measure and enhance diversity using interdisciplinary approaches, aiming to improve player engagement and educational outcomes.
Contribution
It provides a comprehensive taxonomy of diversity metrics and evaluation methods, bridging gaps between theory and practice in game scenario diversity measurement.
Findings
Highlights the role of procedural content generation in diversifying scenarios
Identifies key metrics for evaluating scenario diversity
Suggests a unified taxonomy to guide future research and development
Abstract
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…
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Taxonomy
TopicsDigital Games and Media
