Nancy Lewis
2025-01-31
Explainable AI Systems for Real-Time Player Behavior Prediction in Games
Thanks to Nancy Lewis for contributing the article "Explainable AI Systems for Real-Time Player Behavior Prediction in Games".
This research explores the role of ethical AI in mobile game design, focusing on how AI can be used to create fair and inclusive gaming experiences. The study examines the challenges of ensuring that AI-driven game mechanics, such as matchmaking, procedural generation, and player behavior analysis, do not perpetuate bias, discrimination, or exclusion. By applying ethical frameworks from artificial intelligence, the paper investigates how developers can design AI systems that promote fairness, inclusivity, and diversity within mobile games. The research also explores the broader social implications of AI-driven game design, including the potential for AI to empower marginalized groups and provide more equitable gaming opportunities.
This paper explores the use of mobile games as educational tools, assessing their effectiveness in teaching various subjects and skills. It discusses the advantages and limitations of game-based learning in mobile contexts.
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The gaming industry's commercial landscape is fiercely competitive, with companies employing diverse monetization strategies such as microtransactions, downloadable content (DLC), and subscription models to sustain and grow their player bases. Balancing player engagement with revenue generation is a delicate dance that requires thoughtful design and consideration of player feedback.
This research explores the relationship between mobile gaming habits and academic performance among students. It examines both positive aspects, such as improved cognitive skills, and negative aspects, such as decreased study time and attention.
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