Mark Wright
2025-01-31
The Psychology of Progression Systems in Role-Playing Mobile Games
Thanks to Mark Wright for contributing the article "The Psychology of Progression Systems in Role-Playing Mobile Games".
This paper applies systems thinking to the design and analysis of mobile games, focusing on how game ecosystems evolve and function within the broader network of players, developers, and platforms. The study examines the interdependence of game mechanics, player interactions, and market dynamics in the creation of digital ecosystems within mobile games. By analyzing the emergent properties of these ecosystems, such as in-game economies, social hierarchies, and community-driven content, the paper highlights the role of mobile games in shaping complex digital networks. The research proposes a systems thinking framework for understanding the dynamics of mobile game design and its long-term effects on player behavior, game longevity, and developer innovation.
This research examines the convergence of mobile gaming and virtual reality (VR), with a focus on how VR technologies are integrated into mobile game design to enhance immersion and interactivity. The study investigates the challenges and opportunities presented by VR in mobile gaming, including hardware limitations, motion sickness, and the development of intuitive user interfaces. By exploring both theoretical frameworks of immersion and empirical case studies, the paper analyzes how VR in mobile games can facilitate new forms of player interaction, narrative exploration, and experiential storytelling, while also considering the potential psychological impacts of long-term VR engagement.
This paper explores the role of artificial intelligence (AI) in personalizing in-game experiences in mobile games, particularly through adaptive gameplay systems that adjust to player preferences, skill levels, and behaviors. The research investigates how AI-driven systems can monitor player actions in real-time, analyze patterns, and dynamically modify game elements, such as difficulty, story progression, and rewards, to maintain player engagement. Drawing on concepts from machine learning, reinforcement learning, and user experience design, the study evaluates the effectiveness of AI in creating personalized gameplay that enhances user satisfaction, retention, and long-term commitment to games. The paper also addresses the challenges of ensuring fairness and avoiding algorithmic bias in AI-based game design.
This paper investigates the use of artificial intelligence (AI) for dynamic content generation in mobile games, focusing on how procedural content creation (PCC) techniques enable developers to create expansive, personalized game worlds that evolve based on player actions. The study explores the algorithms and methodologies used in PCC, such as procedural terrain generation, dynamic narrative structures, and adaptive enemy behavior, and how they enhance player experience by providing infinite variability. Drawing on computer science, game design, and machine learning, the paper examines the potential of AI-driven content generation to create more engaging and replayable mobile games, while considering the challenges of maintaining balance, coherence, and quality in procedurally generated content.
This paper explores the application of artificial intelligence (AI) and machine learning algorithms in predicting player behavior and personalizing mobile game experiences. The research investigates how AI techniques such as collaborative filtering, reinforcement learning, and predictive analytics can be used to adapt game difficulty, narrative progression, and in-game rewards based on individual player preferences and past behavior. By drawing on concepts from behavioral science and AI, the study evaluates the effectiveness of AI-powered personalization in enhancing player engagement, retention, and monetization. The paper also considers the ethical challenges of AI-driven personalization, including the potential for manipulation and algorithmic bias.
Link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
External link
