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Hachisuka Lab
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An ergonomics lab that finds and increases the small “joys” of everyday life.
AboutAbout the lab
Discovering and amplifying the small “joys” of everyday life
The Hachisuka Lab studies ergonomics and human interfaces.
The lab aims to find the small “joys” in everyday life and to maintain positive, enriching mental and physical health.
The lab builds systems that sense a person's state at work, at school, and at home, and provide feedback to help keep them in a good state.
By combining technologies such as signal processing, AI, and XR, the lab investigates methods and mechanisms for boosting people's motivation.
Key terms
- Ergonomics
- The study of making tools and environments easier and safer to use by fitting them to the characteristics of the human body and mind
- Sensing
- Measuring the state of people or objects with sensors or cameras and reading it as numerical values
- XR
- A collective term for technologies that blend the real and virtual worlds, such as VR (virtual reality) and AR (augmented reality)
NewsLab news
Lecturer Hachisuka received the Best Position Paper Award at ABC 2026
Lecturer Hachisuka received the Research Group Award at the 22nd Human Interface Society meeting
Research by Lecturer Hachisuka and colleagues received the Best Paper Award at ICIET 2025
Lecturer Hachisuka received the Best Paper Award at IEEE TALE 2024
Lecturer Hachisuka received the Best Paper Award at IEEE ISCSET 2024
ResearchResearch themes
The lab aims to find the small “joys” in everyday life and to maintain positive, enriching mental and physical health. Drawing on ergonomics, it studies methods and mechanisms for boosting people's motivation through sensing and feedback of their state.
*Illustrative imageMeasuring facial expressions
Facial landmarks are detected in face images captured with a webcam to measure expressions. The lab plans to capture fleeting moments of “joy” during work or study and use them in feedback that helps people stay motivated.
*Illustrative imageEstimating emotions from facial expressions
Facial landmarks are fed into machine learning models to estimate basic emotions such as anger and joy, as well as a neutral state. The lab investigates how expressions change when people experience “joy” and what kinds of feedback work well.
MembersFaculty
The Hachisuka Lab consists of faculty members and master's students.As of 2026
- LecturerSatori HachisukaPublications ↗
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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: “Happiness cropped” nasrul ekram, https://www.flickr.com/photos/inrime_nasrul/ / CC BY 2.0 (cropped)
- Measuring facial expressions: “Dlib-face landmark detection” MTheiler / CC BY-SA 4.0 (cropped)
- Estimating emotions from facial expressions: “Igout, Louis - Gesichtsausdrücke (Zeno Fotografie)” Igout, Louis / Public domain (cropped)
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