In this research area, our goal is to understand the fundamentals of human perception of multimodal information originated from interaction with the outside world, the mechanism of information transferring, based on a cross-disciplinary approach with focus on information science. Moreover, we also aim for applying new findings to the fields of higher level of information processing and robotics. Our attempt focuses on human-centered study through understanding human-human and human-machine communication, including mechanism of human sensory perception, multisensory modality and human behavior understanding; as well as recognition and understanding of linguistic and non-linguistic information, and human thinking process and its modeling. Our research interests also include engineering implementation such as robot technology based on mechanical and control engineering, sensors and information processing for five-senses based on perceptual and intelligent information processing, and robot engineering as an intelligent agent that adaptively interacts with humans and the environment. These broad range research topics contribute to establish a human-centered society (Society 5.0) where machine interacts with human in harmonic ways.

Perceptual and Intelligent Information Processing, Social Signal Processing, Multimodality, Communication, Education/learning Technology, Game Informatics, Natural Language Processing, Audio/speech Signal Processing, Image/video Signal Processing, Human Interface, Intelligent Robotics

In this research area, we address human-centered research topics covering sensors and information processing for five-senses based on perceptual and intelligent information processing, multisensory modality, human behavior understanding, recognition/understanding of linguistic/non-linguistic information, and human thinking process and its modeling. We also look for novel engineering implementations for sensing technology, multiagent robotics, and educational technology from human-centric point of view. Coursework is off ered to students for understanding theories and fundamental techniques of information science, as well as cross-disciplinary technology such as the basic of signal processing, machine learning/artificial intelligence, natural language processing, and game informatics. Students are expected to develop their abilities required for advanced scientists and engineers, such as problem-fi nding, modeling, implementation, evaluation, presentation and communication skills through their study.