Amy Ward
2025-01-31
Exploring Game Complexity Through AI-Driven Player Modeling: A Computational Approach
Thanks to Amy Ward for contributing the article "Exploring Game Complexity Through AI-Driven Player Modeling: A Computational Approach".
This paper investigates the impact of mobile gaming on attention span and cognitive load, particularly in relation to multitasking behaviors and the consumption of digital media. The research examines how the fast-paced, highly interactive nature of mobile games affects cognitive processes such as sustained attention, task-switching, and mental fatigue. Using experimental methods and cognitive psychology theories, the study analyzes how different types of mobile games, from casual games to action-packed shooters, influence players’ ability to focus on tasks and process information. The paper explores the long-term effects of mobile gaming on attention span and offers recommendations for mitigating negative impacts, especially in the context of educational and professional environments.
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 study examines the ethical implications of data collection practices in mobile games, focusing on how player data is used to personalize experiences, target advertisements, and influence in-game purchases. The research investigates the risks associated with data privacy violations, surveillance, and the exploitation of vulnerable players, particularly minors and those with addictive tendencies. By drawing on ethical frameworks from information technology ethics, the paper discusses the ethical responsibilities of game developers in balancing data-driven business models with player privacy. It also proposes guidelines for designing mobile games that prioritize user consent, transparency, and data protection.
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.
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.
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