Exploring Neural Interfaces as a Medium for Direct Player-Game Interaction
Evelyn Griffin 2025-02-06

Exploring Neural Interfaces as a Medium for Direct Player-Game Interaction

Thanks to Evelyn Griffin for contributing the article "Exploring Neural Interfaces as a Medium for Direct Player-Game Interaction".

Exploring Neural Interfaces as a Medium for Direct Player-Game Interaction

This research investigates how mobile games contribute to the transhumanist imagination by exploring themes of human enhancement and augmented reality (AR). The study examines how mobile AR games, such as Pokémon Go, offer new forms of interaction between players and their physical environments, effectively blurring the boundaries between the digital and physical worlds. Drawing on transhumanist philosophy and media theory, the paper explores the implications of AR technology for redefining human perception, cognition, and embodiment. It also addresses ethical concerns related to the over-reliance on AR technologies and the potential for social disconnection.

Accessibility initiatives in gaming are essential to ensuring inclusivity and equal opportunities for players of all abilities. Features such as customizable controls, colorblind modes, subtitles, and assistive technologies empower gamers with disabilities to enjoy gaming experiences on par with their peers, fostering a more inclusive and welcoming gaming ecosystem.

This research investigates the ethical, psychological, and economic impacts of virtual item purchases in free-to-play mobile games. The study explores how microtransactions and virtual goods, such as skins, power-ups, and loot boxes, influence player behavior, spending habits, and overall satisfaction. Drawing on consumer behavior theory, economic models, and psychological studies of behavior change, the paper examines the role of virtual goods in creating addictive spending patterns, particularly among vulnerable populations such as minors or players with compulsive tendencies. The research also discusses the ethical implications of monetizing gameplay through virtual goods and provides recommendations for developers to create fairer and more transparent in-game purchase systems.

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 applies social network analysis (SNA) to investigate the role of social influence and network dynamics in mobile gaming communities. It examines how social relationships, information flow, and peer-to-peer interactions within these communities shape player behavior, preferences, and engagement patterns. The research builds upon social learning theory and network theory to model the spread of gaming behaviors, including game adoption, in-game purchases, and the sharing of strategies and achievements. The study also explores how mobile games leverage social influence mechanisms, such as multiplayer collaboration and social rewards, to enhance player retention and lifetime value.

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