Profile

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. 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).

News

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Research

I develop adaptable, intelligent assistants in the physical world with multimodal sensing techniques and human-AI interaction designs. I achieve this by ubiquitously digitizing user behavior (pose, gesture, gaze, activity, speech, etc.) and designing helpful intervention with practical devices, such as smartwatch. 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 research agendas:

  1. how we develop reliable AI assistants from imperfect sensing and machine learning [Health / Well-Being]
  2. how we enable computers to deal with human communication contexts [Social Signal Processing]
  3. how we augment our ways to interact with computers [Interaction Technique]

My inventions have been licensed to several companies. I leverage such collaborations to study the deployment process of AI systems (e.g., "AI for Human Assessment" [W.7], "Coaching Copilot" [C.19]).


Honors and Awards

Research Fellowships and Grants

Academic Honors and Awards

Misc.

Talks

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.

Media Coverage

Contact

[first name].[family name]1996 [at] gmail.com