In the 21st century, we are living in a more and more intelligent environment, evolving together with the pace of technologies. We have been surrounded by ubiquitous devices. The integration of the data from various sensors provides the great potential to picture a user’s behavior (e.g., routine behavior), help machines better understand human, and further support new interaction paradigms between humans and smart environments.
Ubiquitous devices have become more and more prevalent. They provide a unique opportunity to capture, model and impact human behavior. However, nowadays our ubiquitous devices around us are not intelligent enough. My research focuses on two aspects: 1) on the one side, I build algorithms and models that can better understand and model human daily behavior. 2) On the other side, I also create novel interaction techniques that better involve and leverage our daily behavior.
These two aspects are organically related: the leveraging of human behavior is grounded on an intelligent system that understands what we are doing, thus effectively facilitate our daily lives.
My research usually involves human-computer interaction, ubiquitous computing and machine learning, and sometimes a combination of them.