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Human-Computer Interaction Lab
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The lab designs how people and computers connect, and is one of the few HCI labs in Japan.
AboutAbout the lab
Designing the space between people and computers.
The Human-Computer Interaction Lab studies the design of interaction between people and computers.
Its work includes research on conversational robots, xR research covering VR, AR, and MR, and the development of user interfaces that apply artificial intelligence.
The lab's scope is broad, extending to user experience design and interaction design, both essential to building products.
Students can set their own research topics with freedom, or work on themes the lab has been pursuing.
Key terms
- Human-Computer Interaction
- A research field that studies how people and computers interact, and builds systems that are easy to use
- User interface
- The point of contact between people and computers, such as screens and controls. Without it, a computer cannot be used
- xR
- A collective term for VR (virtual reality), AR (augmented reality), and MR (mixed reality)
NewsLab news
Two papers by students received the Best Paper Honorable Mention Award at ACM CHI 2025
Received the Information Processing Society of Japan Paper Award for fiscal year 2023
A student received the Outstanding Paper Award at the Information Processing Society of Japan symposium “Interaction 2024”
A student received the Interactive Presentation Award (Program Committee Recommendation) at the Information Processing Society of Japan symposium “Interaction 2024”
ResearchResearch themes
With interaction design as its keyword, the lab studies the design of dialogue systems such as robots and agents, as well as the design of new user interfaces. It also aims to create new concepts that do not yet have words.
*Illustrative imageDialogue with robots and agents
As social robots and voice dialogue agents become widespread, the lab explores how to make conversation feel natural with current technology. It also investigates how people perceive robots and how they are affected socially and psychologically.
*Illustrative imageInteraction design and UI
Through observation and interviews, the lab identifies where people struggle when using computers, and develops the technology needed to address those problems. The goal is to turn “can't do” into “can do” and improve quality of life.
*Illustrative imageApplications of machine learning and AI
Machine learning is always used in developing gesture input based on body movement and in xR interfaces. Natural language processing and object recognition also make advanced interaction with robots and agents possible.
*Illustrative imageVR, AR, and MR
In VR, AR, and MR, people operate systems with body movements and voice instead of a mouse and keyboard. Aiming for environments where ordinary people can work in an ordinary way, the lab studies new interactions and user interfaces for xR.
MembersFaculty
Members of the Human-Computer Interaction Lab include faculty, academic support staff, doctoral, master's, and undergraduate students, and research students and auditing students.As of 2026
- ProfessorDaisuke Sakamoto
- Project ProfessorTetsuo Ono
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Backlit keyboard” Colin / CC BY-SA 4.0 (cropped)
- Dialogue with robots and agents: “Humanoider-Roboter-DASA” Sven Volkens / CC BY-SA 4.0 (cropped)
- Interaction design and UI: “Ring Gesture Control Device for Smart Devices ( )” Maurizio Pesce from Milan, Italia / CC BY 2.0 (cropped)
- Applications of machine learning and AI: “Skeletal-hand” Razvan / CC BY-SA 3.0 (cropped)
- VR, AR, and MR: “Virtual reality headset” FloppaIngénieur / CC BY 4.0 (cropped)
- Related lab (Intelligent Informatics Lab): “Quiet Electric Engine V1 (QUEEN V1) Experiment (GRC-2024-C-06530)” NASA Glenn Research Center / NASA/GRC/Sara Lowthian-Hanna / Public domain (cropped)
- Related lab (Information Media Environment Lab): “Global illumination” user:Gtanski / Public domain (cropped)
- Related lab (System Control Theory Lab): “Attracteur étrange de Lorenz” Rogilbert / Public domain (cropped)
- Related lab (Structured Intelligence Lab): “Costa's Minimal Surface” Anders Sandberg / CC BY-SA 3.0 (cropped)
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