Welcome to the Human Factors and Simulation Laboratory! Please select the menu options above the pictures as needed. If reading using a cell phone, please select the menu icon (i.e. an icon consisted of three lines above the pictures similar to Google menu icon) to pop up the menu options.
Our overarching goal is to invesitgate human's decision making processes to increase performance, inform the design of systems, and develop training intervention methods. Our goal is obtained through developing pattern analysis algorithms to analyze physiological measures, such as eye movements, haptic interactions, and brain activities.
Key words: Human factors, human-computer interaction, cognitive engineering, human-systems engineering, pattern analysis, UX research, human-centered design.
Announcement: Dr. Kang wins the National Science Foundation CAREER Award!
CAREER: Non-text-based smart learning in fully immersive multi-person Virtual Reality using near real-time multimodal analysis of physiological measures
Short description: Non-text-based smart learning refers to technology-supported learning that uses non-text features (i.e. visualized information) and adapted learning materials based on the individual’s needs. Fully immersive multi-person virtual reality (MVR) refers to humans located at different places wearing VR devices to join a single virtual room, a classroom with unlimited size, to learn from an instructor. The learning environment is poised to undergo a major reformation, and MVR will augment, and possibly replace, the traditional classroom learning environment. The purpose of this research is to discover new smart learning methodologies within the MVR environment using nonintrusive multimodal analysis of physiological measures, including eye movement characteristics, haptic interactions, and brain activities.
Click here to better read the descriptions of the above announcement