Dr. Hideki Koike
Dr. Hideki Koike
Professor, Institute of Science Tokyo
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Democratizing Skill Acquisition and Transfer through AI and XR Technologies
Democratizing Skill Acquisition and Transfer through AI and XR Technologies
Abstract
As AI has advanced significantly and begun to surpass human capabilities, the importance of human augmentation technologies to enhance human abilities has increased. Among these, skill acquisition support not only streamlines the acquisition of advanced skills by experts in various fields such as sports and music, but also contributes to the pursuit of well-being through hobby acquisition for the general public. In this presentation, I will introduce the skill acquisition support system that we are currently researching and developing. By incorporating the latest AI and XR technologies, we aim to liberate users from complex measurement environments, enable AI to explain core skills, and provide real-time intuitive feedback. Furthermore, I will discuss the ecosystem made possible by the democratization of skill acquisition support systems.
SHORT BIO
Hideki Koike is a Professor at the School of Computing, Institute of Science Tokyo (formerly Tokyo Institute of Technology). He received his B.E., M.E., and Ph.D. from the University of Tokyo. His research spans a wide range of topics in Human-Computer Interaction (HCI), computer vision, and human/spatial augmentation, with a particular focus on bridging the physical and digital worlds through innovative sensing and display technologies.
Professor Koike has a distinguished record of leadership in the academic community, having served as General Co-Chair for ACM ISS 2018 and as a member of the steering committees for Augmented Humans (AHs) and ACM ISS. His diverse professional background also includes a tenure as a Cabinet Official for the Cabinet Secretariat of Japan.
His research is extensively published in premier international venues, including CHI, NeurIPS, CVPR, and IEEE VR, and has been recognized with numerous accolades, such as the IEEE Transactions on Haptics Best Application Paper Award. His current work continues to push the boundaries of skill acquisition and human capability enhancement through advanced multi-sensory interaction and AI-driven analysis.
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