In human-computer interaction (HCI), measuring and understanding human intentions and communicating the state of the systems to humans are important techniques. Our laboratory studies technologies of a) artificial intelligence (AI) to understand human intentions using computer vision and sensory signals that make it easier to use various robot systems, b) medical support systems to improve medical care and efficiency, c) VR/MR technology to realize gentle (tender) nursing care, d) communication robot systems that can interact with people, e) the theories and methods that recognize surrounding scenes based on the eye (corneal) surface reflection, and f) brain-machine interface technologies such as pupil-response communication, painless EEG electrodes, and personalized adjustments for optimal rehabilitation support.