Komei HASEGAWA

I'm a "Human-Agent Interaction" researcher.

Komei Hasegawa
(First name Family name)

Ph.D. in Engineering
Associate professor
Ogoshi Lab.
Faculty of Engineering,
University of Fukui
Researchmap

I'm researching interaction design between humans and artificial agents, and supporting system for human-human communication. My research interests include Human-Agent Interaction (HAI) and Human-Robot Interaction (HRI). I'm also interested in Human Interface and Cognitive Science.

Contact

  • komei-h [atmark] u-fukui.ac.jp
  • komei.hasegawa [atmark] gmail.com

Career

    University of Fukui
  • April 2026-
    Associate professor, Ogoshi lab., Faculty of Engineering, University of Fukui
  • October 2025 - March 2026
    Researcher, Department of Computer Science and Engineering, Toyohashi University of Technology
  • October 2017 - September 2025
    Assistant professor, ICD lab., Department of Computer Science and Engineering, Toyohashi University of Technology
  • April 2015 - September 2017
    Postdoc Researcher, Imai lab., Keio University (JSPS Scientific Research on Innovative Areas Project "Cognitive Interaction Design")
  • 25 March 2015
    Ph.D.(Engineering), Dept. of Intelligent Interaction Technologies, University of Tsukuba
  • 23 March 2012
    Master of Engineering, Dept. of Intelligent Interaction Technologies, University of Tsukuba
  • 25 March 2010
    Early graduation (One year earlier)
    Bachelor of Engineering, College of Engineering Systems, University of Tsukuba
  • Born in February 1989

Research

Mutual adaptation between humans and artifacts

A telepresence robot for multiparty conversations

My research on a telepresence robot that exaggerates non-verbal cues for taking turns in teleconferences. In multi-party teleconferences, it is more difficult for the remote participants to take their turns than face-to-face. It is said that an addressee tends to be next speaker. Therefore, becoming the addressee is a previous step to become a speaker and take turns. In order to make the remote participant become addressee, proposed system detected remote participant's non-verbal cues such as attention directions, nod motions and back-channels. Then, the system exaggerates the cues and expresses them as the robot's motions.



Publication

Researchmap