Haptic technologies in both kinesthetic and tactile aspects benefit a brand-new opportunity to recent human-machine interactive applications. In this talk, I, who believe in that one of the essential role of a researcher is pioneering new insights and knowledge, will present my previous research topics about haptic technologies and human-machine interactive applications in two branches: laser-based mid-air haptics and sensorimotor skill learning. For the former branch, I will introduce our approach named indirect laser radiation and its application. Indirect laser radiation utilizes a laser and a light-absorbing elastic medium to evoke a tapping-like tactile sensation. For the latter, I will introduce our data-driven approach for both modeling and learning of sensorimotor skills (especially, driving) with kinesthetic assistance and artificial neural networks; I call it human-like haptic assistance. To unify two different branches of my earlier studies for exploring the feasibility of the sensory channel named "touch", I will present a general research paradigm for human-machine interactive applications to which current haptic technologies can aim in future.
Biography: Hojin Lee received the B.S. and Ph.D. degree in Computer Science and Engineering (CSE) from Pohang University of Science and Technology (POSTECH) in 2010 and 2019, respectively. His Ph.D. dissertation topic is "Human-like Haptic Assistance: Performance-based Haptic Assistance Using Neural Networks for Driving Skill Enhancement and Training". His main research interests lie on haptics, human-robot interaction, motor learning, psychophysics, and cognitive psychology with human factors, which are for the implementation and the validation of various haptic technologies and applications.