Social Dimensions in Content Creation for Games: A Systematic Review of Fairness, Social Bias, and Diversity in Computational Character and Environment Generation

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dc.contributor.authorHorst, Robinen_US
dc.contributor.authorDörner, Ralfen_US
dc.contributor.editorSheng, Yunen_US
dc.contributor.editorSlingsby, Aidanen_US
dc.date.accessioned2025-09-09T05:13:03Z
dc.date.available2025-09-09T05:13:03Z
dc.date.issued2025
dc.description.abstractComputational content generation increasingly shapes digital games, visual computing, and interactive environments, automating the creation of characters and environments. However, these systems also raise complex challenges related to fairness, social bias, and representational diversity. We present a systematic literature review of 37 recent studies addressing fairness-aware computational content generation across character creation, face modeling, and procedural environments. We analyze both algorithmic strategies - including deep learning, reinforcement learning, generative adversarial networks, and optimization - as well as design-oriented frameworks such as behavioral, participatory, and cultural methods. Our review reveals substantial conceptual fragmentation in how fairness, social bias, and diversity are defined, measured, and operationalized across domains. While several metrics (e.g., statistical parity, balanced accuracy, generative diversity scores) are applied, standardized computational frameworks and large-scale auditing tools remain largely absent. We conclude by outlining key research challenges, including metric standardization, scalable fairness, social bias, and diversity auditing, cross-cultural dataset development, and interdisciplinary collaboration, to advance aware content generation in games.en_US
dc.description.sectionheadersGames
dc.description.seriesinformationComputer Graphics and Visual Computing (CGVC)
dc.identifier.doi10.2312/cgvc.20251223
dc.identifier.isbn978-3-03868-293-6
dc.identifier.pages9 pages
dc.identifier.urihttps://doi.org/10.2312/cgvc.20251223
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/cgvc20251223
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing → Social engineering (social sciences); Visualization design and evaluation methods; Information systems → Multimedia content creation; Applied computing → Computer games
dc.subjectHuman centered computing → Social engineering (social sciences)
dc.subjectVisualization design and evaluation methods
dc.subjectInformation systems → Multimedia content creation
dc.subjectApplied computing → Computer games
dc.titleSocial Dimensions in Content Creation for Games: A Systematic Review of Fairness, Social Bias, and Diversity in Computational Character and Environment Generationen_US
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