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Work item:
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F.FW-AGQA
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Subject/title:
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Framework for testing human factors in quality assurance of AI-based online games
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Status:
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Under study
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Approval process:
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AAP
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Type of work item:
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Recommendation
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Version:
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New
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Equivalent number:
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-
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Timing:
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2026-12 (Medium priority)
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Liaison:
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ITU-T SG11, IEEE SA
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Supporting members:
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ETRI, Republic of Korea, China Telecom
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Summary:
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AI-based online games use artificial intelligence to create dynamic experiences, with NPCs and environments adapting to player actions. However, this reliance on AI may neglect critical human factors. Therefore, quality assurance includes testing human factors to ensure that AI behaviour aligns with player expectations, cognitive processes, and ergonomic needs, ultimately enhancing gameplay.
Testing human factors in games enables developers to fine-tune AI responses to deliver authentic, human-like gameplay experiences that emphasize fun, resulting in more engaging interactions, pioneering game designs, and increased competitiveness within the industry.
This Recommendation outlines the process for testing human factors in quality assurance of AI-based online games. It defines the approach, specifies user interaction and requirements, outlines the components and characteristics of the human factors testing framework, and defines a game metadata to support human factors testing
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Comment:
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-
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Reference(s):
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Historic references:
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Contact(s):
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| ITU-T A.5 justification(s): |
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First registration in the WP:
2025-02-18 13:18:57
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Last update:
2025-03-04 11:26:56
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