Jun KatoHuman-Computer Interaction researcher, Ph.D.
I am interested in broad area of Human-Computer Interaction (HCI), and have been especially focused on designing user interfaces and integrated environments for creativity support. Improving Programming Experience (PX) is an important subgoal to support the creativity of people with diverse technical backgrounds.
He is a Senior Researcher at AIST and the Technical Advisor (PI) at Arch Research with a focus on PX and creativity support research. He received a Ph.D. from The University of Tokyo (2014) and has regularly gained academic recognitions such as Best Paper Honorable Mentions at ACM CHI (2013, 2015) and IPSJ/ACM Award (2021).
The following products are beyond research prototypes and generally available to public.
An integrated design environment for kinetic typography; desktop app revamped as a web service in 2015.
Griffith is a web-based authoring tool for Japanese animation (anime) storyboards.
The Songle Sync platform allows controlling numerous devices in synchrony with the songs with its SDK.
A parametric design tool for physical computing devices for both interaction designers and end-users.
Programming should be a more social activity than what it is right now. A programming environment does not need to be only for programmers. It should instead be designed for users with diverse technical backgrounds.
Such inclusive design enables the users to communicate with each other through programming-related activities, delivers benefits of programming to all of them, and would give empowerment to them.
Live programming eliminates the gulf between code and execution. User interface design plays the key role in providing live programming experience.
With appropriate user interface design, live programming can potentially benefit end-users, be used for applications whose computation takes a long time, and mean much more than merely providing real-time information of the running program.
The programming-with-examples (PwE) workflow lets developers create interactive applications with the help of example data. It takes a general programming environment and adds dedicated user interfaces for visualizing and managing the data.
This is particularly useful in developing data-intensive applications such as physical computing, image processing, video authoring, machine learning, and others that require intensive parameter tuning.
For the exhaustive list of projects, see Projects.
Please reach me via email or social networking services rather than telephone and facsimile when possible. I rarely check these conventional machines.