Gamification User Type

Gamification user type research explores how different player personalities and learning styles interact with game mechanics to achieve various objectives, from data collection and AI model training to education and healthcare. Current research focuses on designing engaging game interfaces and leveraging machine learning models, such as convolutional neural networks (CNNs) and large language models (LLMs), to personalize the experience and analyze player behavior. This work is significant for improving data quality in various fields, enhancing educational outcomes, and developing more effective and engaging applications in diverse domains like healthcare and AI training.