Riku has been a Ph.D. student at Human-Computer Interaction Institute (HCII), School of Computer Science, Carnegie Mellon University since 2021.08. He is advised by Dr. Mayank Goel and working on applied machine learning with a focus on health sensing at Smash Lab. Before coming to CMU, he received his B.E. and M.S. from The University of Tokyo, Japan, where he worked with Dr. Hiroshi Saruwatari on real-time voice conversion, and Dr. Masahiko Inami on auditory intervention for behavioral change.
In a nutshell, he's passionate about human-computer interaction (HCI), human-AI interaction (HAI), and after a long day, occasional human-beer interaction (HBI).
I develop adaptable, intelligent assistants in the physical world with multimodal sensing techniques and human-AI collaboration designs. I achieve this by ubiquitously digitizing user behavior (pose, gesture, gaze, activity, speech, etc.) and designing helpful intervention (when, what, and how) with practical devices. I explore ways to use AI systems accountably when ML models are not reliable in critical domains like healthcare and well-being support. I investigate the following agendas and am working on the projects listed below.:
I am willing to have talks, especially to secondary school students. This stems from my own positive experiences with the joy of science and technology during seminars I attended in high school.
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