Designing Games to Teach Ethical Reasoning in Complex Decision-Making Contexts
Amy Ward 2025-02-03

Designing Games to Teach Ethical Reasoning in Complex Decision-Making Contexts

Thanks to Amy Ward for contributing the article "Designing Games to Teach Ethical Reasoning in Complex Decision-Making Contexts".

Designing Games to Teach Ethical Reasoning in Complex Decision-Making Contexts

This study investigates how mobile games can encourage physical activity among players, focusing on games that incorporate movement and exercise. It evaluates the effectiveness of these games in promoting health and fitness.

The future of gaming is a tapestry woven with technological innovations, creative visions, and player-driven evolution. Advancements in artificial intelligence (AI), virtual reality (VR), augmented reality (AR), cloud gaming, and blockchain technology promise to revolutionize how we play, experience, and interact with games, ushering in an era of unprecedented possibilities and immersive experiences.

This systematic review examines existing literature on the effects of mobile gaming on mental health, identifying both beneficial and detrimental outcomes. It provides evidence-based recommendations for stakeholders in the gaming industry and healthcare sectors.

This paper systematically reviews the growing body of literature on the use of mobile games as interventions in mental health treatment, particularly focusing on anxiety, depression, and cognitive disorders. The study examines various approaches to game-based therapy, including cognitive behavioral therapy (CBT) and mindfulness-based games, assessing their effectiveness in improving emotional well-being and mental resilience. The paper proposes a conceptual framework that integrates psychological theories with game design principles to develop therapeutic mobile games. Furthermore, the study explores the ethical implications of using mobile games for mental health interventions, such as user privacy, data security, and informed consent.

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.

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