Smart Human-Computer Interaction
Research Field
Thank you for your interest in cooperate with me! I’m an associated professor in the department of Industrial Engineering and Management, Yuan Ze University. I graduated from the University at Buffalo, U.S. in September, 2009. My expertise is Human Factors which is a science of studying relevant information about human capabilities, limitations, characteristics, and behavior to design and improve the objects, facilities, procedures and environments.
For more information: http://jui-fenglin.iem.yzu.edu.tw/index.shtml
Introduction to the Smart Human-Computer Interaction Lab
Welcome to the Smart Human-Computer Interaction Lab, where we explore the next generation of human-computer interaction technologies. Unlike traditional human-computer interaction, which focuses on information reception and function control, our lab integrates artificial intelligence to create more intuitive and responsive systems.
Our lab is equipped with state-of-the-art non-contact devices such as cameras, eye trackers, thermal imagers, and robots. These tools collect user data to develop AI models that can detect and identify user behaviors and states. This enables everyday electronic products to proactively understand and respond to user needs, providing a seamless and intelligent interaction experience.
The lab features simulated environments for both teaching and home applications, including a living room and a studio. Here, students can apply their knowledge in statistical analysis, programming, AI modeling, human factors engineering, and the Internet of Things. Through teamwork and creativity, they develop innovative smart human-computer interaction technologies.
Students also have the opportunity to use ChatGPT to edit open-source software, implementing practical applications such as smart detection of mask-wearing, cold symptoms, speaker performance, sitting posture, and even monitoring if students are sleeping at their desks.
Designed to resemble a home environment, our lab is both comfortable and inspiring. It is equipped with various novel devices and technologies, providing a perfect setting for project-based learning. This environment stimulates students’ motivation and potential, encouraging them to integrate and apply their knowledge, collaborate effectively, and develop the professional skills needed for further education and employment.
Regarding my research, I am integrating Human Factors and Artificial Intelligence. By studying and designing critical features that react to human states (such as emotion, visual fatigue, AR/VR cybersickness, and cognitive workload), effective AI models are developed to “read” human before achieving smart houses or smart environments. Related research directions include Recognizing Human State, Computer-Assisted Medical Decision Making, and Human-Computer Interaction. Please feel free to contact me if you have any questions about me or if you have any potential opportunities of cooperation.
Please see the information in the link: http://jui-fenglin.iem.yzu.edu.tw/honors_awards.shtml
Ray F. Lin was born in 1977 in Taoyuan, Taiwan. He earned his B.S. degree in 1999 and his M.S. degree in 2001 from the Department of Industrial Engineering & Management at Chaoyang University of Technology, where he discovered his passion for continuous learning and research. After completing his two-year military service in 2004, he began his doctoral studies in the Department of Industrial & Systems Engineering at the University at Buffalo, finishing his Ph.D. in September 2009.
At the University at Buffalo, Ray F. Lin pursued his interest in Human Factors, focusing on the relationships of speed-accuracy tradeoffs in hand-control movements. By integrating over fifty years of relevant research, he made a significant contribution by proposing a movement control model that effectively demonstrates how the speed-accuracy tradeoff relationship arises from our human motor system.
Since August 2009, Ray F. Lin has been a part of the Department of Industrial Engineering & Management at Yuan Ze University. He is delighted to be in an environment where he can achieve his goals: making positive impacts on students, conducting excellent research, and collaborating with hospitals and industries. Lin teaches three courses: Work Study, Human Factors, and Usability Engineering. He strives to inspire students’ interest in learning and enjoys interacting with them. After years of research, Ray F. Lin is now integrating Human Factors and AI to develop models that recognize human status, such as emotion, eye fatigue, cognitive load, and VR/AR dizziness.
1 Vacancy
Job Description
None.
Preferred Intern Education Level
Master's and bachelor’s students can apply.
Skill sets or Qualities
- Programming Skills: Proficiency in languages like Python, Java, or C++.
- Knowledge of IoT: Understanding of Internet of Things (IoT) technologies and protocols.
- Problem-Solving: Ability to troubleshoot and solve technical issues.
- Team Collaboration: Strong teamwork and communication skills.