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
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 using DNN, 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, the occasional human-beer interaction (HBI).
My research aims to develop intelligent systems for guiding human in a better direction with multimodal sensing/ML techniques and human-AI interaction perspectives. I research the following themes by smartly digitizing user information (pose, gaze, context, physiological state, etc.) and designing trustful interventions with domain experts.
My inventions on social signal processing have been licensed to several companies in diverse fields such as executive coaching, sales enablement, online classroom, human assessment, and entertainment. I leverage such collaborations to study the actual deployment process of AI systems as an external researcher ("AI for human assessment [CHI’23 case study]" is an example).
Riku Arakawa, Hiromu Yakura, Vimal Mollyn, Suzanne Nie, Emma Russell, Dustin P. Dimeo, Haarika A. Reddy, Alexander K. Maytin, Bryan T. Carroll, Jill Fain Lehman, Mayank Goel
PACM IMWUT 2022 (Ubicomp'23)
I am willing to have talks, especially to (junior) high school students. This comes from my personal experience of having been exposed to the joy of science and technology at seminars I attended when in high school.
[first name].[family name]1996 [at] gmail.com