Exploring Game Complexity Through AI-Driven Player Modeling: A Computational Approach
Melissa Collins 2025-02-03

Exploring Game Complexity Through AI-Driven Player Modeling: A Computational Approach

Thanks to Melissa Collins for contributing the article "Exploring Game Complexity Through AI-Driven Player Modeling: A Computational Approach".

Exploring Game Complexity Through AI-Driven Player Modeling: A Computational Approach

This study examines the psychological effects of mobile game addiction, including its impact on mental health, social relationships, and academic performance. It also explores societal perceptions of gaming addiction and discusses potential interventions and preventive measures.

This research investigates how machine learning (ML) algorithms are used in mobile games to predict player behavior and improve game design. The study examines how game developers utilize data from players’ actions, preferences, and progress to create more personalized and engaging experiences. Drawing on predictive analytics and reinforcement learning, the paper explores how AI can optimize game content, such as dynamically adjusting difficulty levels, rewards, and narratives based on player interactions. The research also evaluates the ethical considerations surrounding data collection, privacy concerns, and algorithmic fairness in the context of player behavior prediction, offering recommendations for responsible use of AI in mobile games.

This study examines how mobile games can be used as tools for promoting environmental awareness and sustainability. It investigates game mechanics that encourage players to engage in pro-environmental behaviors, such as resource conservation and eco-friendly practices. The paper highlights examples of games that address climate change, conservation, and environmental education, offering insights into how games can influence attitudes and behaviors related to sustainability.

This research explores the role of big data and analytics in shaping mobile game development, particularly in optimizing player experience, game mechanics, and monetization strategies. The study examines how game developers collect and analyze data from players, including gameplay behavior, in-app purchases, and social interactions, to make data-driven decisions that improve game design and player engagement. Drawing on data science and game analytics, the paper investigates the ethical considerations of data collection, privacy issues, and the use of player data in decision-making. The research also discusses the potential risks of over-reliance on data-driven design, such as homogenization of game experiences and neglect of creative innovation.

This research explores the role of mobile games in the development of social capital within online multiplayer communities. The study draws on social capital theory to examine how players form bonds, share resources, and collaborate within game environments. By analyzing network structures, social interactions, and community dynamics, the paper investigates how mobile games contribute to the creation of virtual social networks that extend beyond gameplay and influence offline relationships. The research also explores the role of mobile games in fostering a sense of belonging and collective identity, while addressing the potential for social exclusion, toxicity, and exploitation within game communities.

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