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 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, Bing Zhou, Gurunandan Krishnan, Mayank Goel, Shree K. Nayar
PACM IMWUT 2023 (Ubicomp'23)
Riku Arakawa, Karan Ahuja, Kristie Mak, Gwendolyn Thompson, Sam Shaaban, Oliver Lindhiem, Mayank Goel
PACM IMWUT 2023 (Ubicomp'23)
Riku Arakawa*, Hiromu Yakura*, Masataka Goto (*: equal contribution)
ACM CHI 2023
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)
Riku Arakawa*, Hiromu Yakura*, Sosuke Kobayashi (*: equal contribution)
ACM CHI 2022
Riku Arakawa*, Hiromu Yakura*, Masataka Goto (*: equal contribution)
ACM IUI 2022
Riku Arakawa, Zendai Kashino, Shinnosuke Takamichi, Adrien Verhulst, Masahiko Inami
ACM ICMI 2021
Riku Arakawa*, Hiromu Yakura* (*: equal contribution)
PACM HCI 2021 (CSCW)
Riku Arakawa*, Hiromu Yakura* (*: equal contribution)
ACM CHI 2021 (: Honorable Mention Award, top 5%)
Riku Arakawa*, Hiromu Yakura* (*: equal contribution)
ACM CHI 2020
Riku Arakawa*, Hiromu Yakura* (*: equal contribution)
ACM CHI 2019, Travel Grant by NEC C&C Foundation
Riku Arakawa*, Hiromu Yakura* (*: equal contribution)
ACM CHI 2023 Case Study (: Honorable Case Study Recognition, top 3)
Workshop on Trust and Reliance in AI-Human Teams (TRAIT’22) at CHI 2022
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