Determining the Effects of Global Warming to Depression Patients
The study's objectives are to formulate the relationship of global warming, place of residence, and age to the increasing rate of depression patients, determine the ambient temperature that impacts depression patients adversely, and propose and evaluate a hybrid of DRNN-HMM approach to predict the rising rate of depression patients.
Establishing A New Research Field of “Comfort in Mind”
This project aims to combine AI research and entertainment science to establish a new field of study called "comfort in mind" through games to address the limitations of AI and ES fields.
Fusion of Data-Driven and Theory-Driven Research
The integration of AI technology and Entertainment Science has revolutionized gaming experiences, particularly in the wake of the COVID-19 pandemic. This collaboration has become increasingly vital across various industries. The project's goal is to establish empathetic entertainment as a robust research field that can provide insights into human interactions and behaviors.
Human-Machine Collaborative Framework Using Generative Adversarial Network and Map-Elites for a Creativity-Based Learning
The project aims to develop a co-dependent system based on Generative Adversarial Networks and Map-Elites, automate the collaboration framework using meta-learning, and design an evaluation scheme to maximize the framework's performance, subsequently create an innovative creativity-based learning framework, potentially transforming education and knowledge acquisition.