UOS
QoE-Driven Agentic AI for Automated Bug Discovery in Video Games (Collaborative Doctorate with Sony Interactive Entertainment)
✓ Fully Funded
🎓 Artificial Intelligence
🎓 Computer Science
🎓 Human Computer Interaction
🎓 Video games
machine learning
agentic AI
QA automation
QoE
Sony Interactive Entertainment
game development
game testing
Fully funded PhD at the University of Surrey in collaboration with Sony Interactive Entertainment developing AI agents for automated bug discovery and quality-of-experience evaluation in video games.
Project Description
This collaborative PhD between the University of Surrey and Sony Interactive Entertainment focuses on developing an AI-driven framework for automated bug discovery in video games.
The project will design a multi-agent system consisting of Explorer, Inspector, and Reporter agents to identify, reproduce, and document bugs. A key innovation is the integration of a Quality of Experience (QoE) model to rank bugs based on their impact on player experience, such as frustration, immersion, and usability.
The research will evaluate performance using metrics including bug discovery rate, reproducibility, and alignment with human judgement. The student will work closely with industry partners and contribute to advancements in AI-driven game testing and evaluation.
Entry Requirements
Background in Computer Science, Games Technology, Digital Media, or related field
• Strong programming skills (preferably Python)
• Experience in AI/machine learning or software engineering
• Knowledge of generative AI and agent-based systems
• Experience with game engines (Unity, Unreal, or Godot) (desirable)
• Ability to conduct human-centered evaluation studies
• Strong programming skills (preferably Python)
• Experience in AI/machine learning or software engineering
• Knowledge of generative AI and agent-based systems
• Experience with game engines (Unity, Unreal, or Godot) (desirable)
• Ability to conduct human-centered evaluation studies
How to Apply
Apply via the Innovative Media Technology PhD program page after contacting a supervisor. Submit application with project title and supervisor name.
Eligibility
UK/Home
EU
International
Supervisor Profile
DF
Dr Femi Adeyemi-Ejeye; Prof Wenwu Wang; Dr Nabajeet Barman; Dr Saman Zadtootaghaj
University of Surrey, School of Arts, Humanities and Creative Industries
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