[Humans and Interactions] The Future of Humans and Interactions

Strategic Objects

Advanced interaction technologies within networked intelligent information environment

Research Supervisor

photo

Jun Rekimoto (Professor, Interfaculty Initiative in Information Studies, The University of Tokyo / Deputy Director, Sony Computer Science Laboratories, Inc.)

Overview

 Artificial intelligence and technology for big data analysis have been widely been used, and the Internet of things (IoT) has pervaded all areas of life, allowing for the information space and real society to merge. Given this situation, a "super smart society" is expected to emerge, in which every person takes for granted the receiving of optimum, high-quality services, shows his/her abilities, and enjoys a comfortable life.
 This research area aims to use various approaches, including information science and technology, to create new methods for augmenting human ability that will contribute to promoting interactions in various situations, such as those between a person and a person, a person and a machine, a person and the information environment, and a person and the real global environment. It furthermore aims to create technologies that will enable high-level harmony between a person and the environment, as well as to deepen our understanding of interaction. More specifically, this research area covers all aspects of information science and technology, including human-computer interaction, virtual/augmented reality, human augmentation, cooperation/merger between humans and AI, telepresence, wearable computing, communications technology, the smart environment, high-level sensing, and digital fabrication. The research collaborates with such related academic fields as cognitive science, psychology, and neuroscience, which have a focus on these technologies, to promote future-oriented research and development for supporting, understanding, and utilizing interaction.
 Interaction technology can be used to deepen mutual understanding between people, support individuals’ natural behaviors in accordance with their various lifestyles and abilities, and contribute to building a society that allows everyone to enjoy the full extent of the benefits of rapidly progressing artificial intelligence, IoT, and so on.
 This research forms a part of the artificial intelligence/big data/IoT/cyber security integration (AIP) project of the Ministry of Education, Culture, Sports, Science and Technology.

Research Area Advisors

・Takeo Igarashi
Professor, Graduate School of Information Science and Technology, The University of Tokyo

・Michita Imai
Professor, Department of Information and Computer, Faculty of Science and Technology, Keio University

・Junichi Ushiba
Associate Professor, Department of Biosciences and Infomatics, Faculty of Science and Technology, Keio University

・Hiroyuki Kajimoto
Associate Professor, Graduate School of Informatics and Engineering, The University of Electro-Communications

・Yoshihiro Kawahara
Associate Professor, Graduate School of Information Science and Technology, The University of Tokyo

・Fusako Kusunoki
Professor, Department of Information Design, Tama Art University

・Hideki Koike
Professor, School of Computing, Tokyo Institute of Technology

・Koichi Takeda
Professor, Graduate School of Informatics / Director, Future Value Creation Research Center
Nagoya University

・Chiaki Hayashi
Co-founder, Loftwork Inc.

・Noriko Yamagishi
Senior Researcher, Brain Networks and Communication Laboratory, Center for Information and Neural Networks (CiNET), National Institute of Information and Communications Technology (NICT)

・Kazuto Ataka
Chief Strategy Officer (CSO), Yahoo Japan Corporation

Research Projects

  1. Year Started : 2017
  2. Year Started : 2018

Quick Access

Program

  • CREST
  • PRESTO
  • ACT-I
  • ERATO
  • ACT-C
  • ACCEL
  • ALCA
  • RISTEX
  • AIP Network Lab
  • JST ProjectDB
  • Global Activities
  • Diversity
  • OSpolicy
  • Yuugu
  • Questions