Riku is a first year Ph.D. student at Human-Computer Interaction Institute (HCII),
School of Computer Science, Carnegie Mellon University.
He is advised by Prof. Mayank Goel.
Before coming to CMU, he received his B.E. and M.S. at The University of Tokyo,
where he worked with Prof.
Hiroshi Saruwatari on real-time voice conversion using DNN, and Prof.
Masahiko Inami on auditory intervention for behavioral change.
He also worked as a researcn intern with Prof. Yang Zhang on
mm-wave interactive sensing, and Dr. Fabrice
Matulic on pen+tablet interaction.
His research focuses on developing and evaluating high-impact human-centered systems. He believes interactions through sensing users’ context ubiquitously and intervening them suitably are key for changing our daily lives in a pervasive manner. His recent works are across human behavior analysis, wearable sensing systems, human-AI collaboration, and persuasive technologies. He often adopts wide spectrum of ML techniques for achieving smart multimodal interactions, such as computer vision, speech recognition+synthesis, and natural language processing. He publishes papers at ACM CHI, CSCW, IUI, and other venues.
・Curriculum Vitae (updated at 2022.05)
The figure below illustrates the map of my main works to date.
Riku Arakawa, Zendai Kashino, Shinnosuke Takamichi, Adrien Verhulst, Masahiko Inami
ACM ICMI 2021
Riku Arakawa*, Hiromu Yakura (*: equal contribution)
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