A Framework for Explainable AI in Predicting Player Behavior in Multiplayer Games
Katherine Foster 2025-02-08

A Framework for Explainable AI in Predicting Player Behavior in Multiplayer Games

Thanks to Katherine Foster for contributing the article "A Framework for Explainable AI in Predicting Player Behavior in Multiplayer Games".

A Framework for Explainable AI in Predicting Player Behavior in Multiplayer Games

This research investigates the role of the psychological concept of "flow" in mobile gaming, focusing on the cognitive mechanisms that lead to optimal player experiences. Drawing upon cognitive science and game theory, the study explores how mobile games are designed to facilitate flow states through dynamic challenge-skill balancing, immediate feedback, and immersive environments. The paper also considers the implications of sustained flow experiences on player well-being, skill development, and the potential for using mobile games as tools for cognitive enhancement and education.

Nostalgia permeates gaming culture, evoking fond memories of classic titles that shaped childhoods and ignited lifelong passions for gaming. The resurgence of remastered versions, reboots, and sequels to beloved franchises taps into this nostalgia, offering players a chance to relive cherished moments while introducing new generations to timeless gaming classics.

This paper examines how mobile games can be utilized as platforms for social advocacy and political mobilization, particularly in the context of global social movements. The study explores the potential for mobile games to raise awareness about social justice issues, such as climate change, gender equality, and human rights, by engaging players in interactive, narrative-driven activism. By drawing on theories of participatory media and political communication, the research analyzes how game mechanics can be used to simulate real-world social challenges, promote empathy, and encourage collective action. The paper also discusses the ethical challenges of gamifying serious issues and the risks of oversimplification or exploitation of activism.

This paper offers a post-structuralist analysis of narrative structures in mobile games, emphasizing how game narratives contribute to the construction of player identity and agency. It explores the intersection of game mechanics, storytelling, and player interaction, considering how mobile games as “digital texts” challenge traditional notions of authorship and narrative control. Drawing upon the works of theorists like Michel Foucault and Roland Barthes, the paper examines the decentralized nature of mobile game narratives and how they allow players to engage in a performative process of meaning-making, identity construction, and subversion of preordained narrative trajectories.

This research explores the use of adaptive learning algorithms and machine learning techniques in mobile games to personalize player experiences. The study examines how machine learning models can analyze player behavior and dynamically adjust game content, difficulty levels, and in-game rewards to optimize player engagement. By integrating concepts from reinforcement learning and predictive modeling, the paper investigates the potential of personalized game experiences in increasing player retention and satisfaction. The research also considers the ethical implications of data collection and algorithmic bias, emphasizing the importance of transparent data practices and fair personalization mechanisms in ensuring a positive player experience.

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