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Matsui Lab
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A lab that treats Kansei (sensibility) and tacit knowledge computationally and explores how humans and computers can coexist.
AboutAbout the lab
Taking on Kansei and tacit knowledge.
The Matsui Lab (the Knowledge Information Science Lab) studies human intelligence and sensibility, as well as learning and education.
Its research starts from questions such as what Kansei is and how knowledge is acquired.
It combines two approaches: analytically investigating how these phenomena actually work, and building computational models and support technologies.
A defining feature of its research style is the use of mathematical statistics and artificial intelligence techniques.
Key terms
- Kansei (sensibility)
- Mental responses, such as impressions and likes and dislikes, that arise when one encounters something
- Tacit knowledge
- Knowledge that is hard to explain in words, such as know-how and intuition learned through the body
- Ontology
- An organization of the concepts in a field and their relationships into a form that computers can handle
NewsLab news
View More ↗ResearchResearch themes
The lab studies human "Kansei" and the "tacit knowledge" found in everyday life from a variety of perspectives. Its overarching theme is to explore the origins of the human mind, handle them computationally, and consider how humans and computers can coexist.
*Illustrative imageKansei Media Research
The focus is Kansei, which is difficult even to define. Questions such as what makes music enjoyable and why we feel sad at a sunset are approached from an interdisciplinary perspective, using statistical methods and AI techniques together with findings from cognitive science and psychology.
*Illustrative imageSkill and Tacit Knowledge Research
Much of the knowledge people use is said to be tacit knowledge that is hard to put into words. The lab captures and formalizes the skills of experts, such as the movements and breathing of classical ballet and how emotion is expressed through brush strokes in calligraphy.
*Illustrative imageIntelligent Interfaces
The lab builds systems that support education delivered over computers and networks. Using AI methods such as reasoning and machine learning, it develops systems that respond to learners' behavior.
*Illustrative imageComputational Models of Intelligence and Life
The lab works on representing human intelligence and life phenomena as computational models. Current work includes describing knowledge and building simulations toward predicting life phenomena, and building ontologies that deal with the relationship between color and emotion.
MembersFaculty
The members of the Matsui Lab are faculty, education coaches, doctoral and master's students, undergraduates, and students in the distance-learning program.
- ProfessorTatsunori Matsui
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: “Colouring pencils” MichaelMaggs / CC BY-SA 3.0 (cropped)
- Kansei Media Research: “Closeup of the old broken piano keys” Shixart1985 / CC BY 2.0 (cropped)
- Skill and Tacit Knowledge Research: “Ink brush and stone set” Chris 73 / CC BY-SA 3.0 (cropped)
- Intelligent Interfaces: “Gfp-lecture-hall” Yinan Chen / Public domain (cropped)
- Computational Models of Intelligence and Life: “Mandelbrot Set Image 113” Aokoroko / CC0 (cropped)
- Related lab (Kikuchi Lab): “Visualization of Sound Waves - 7 of 10” Amanda.yuu / CC BY 4.0 (cropped)
- Related lab (Sugisawa Lab): “Mark sheet” Connectjp / Public domain (cropped)
- Related lab (Momose Lab): “BA17 Primary visual cortex - lateral view” Polygon data were generated by Database Center for Life Science(DBCLS)[2]. / CC BY-SA 2.1 jp (cropped)
- Related lab (Jin Lab): “SmartCare wrist-worn pulse oximeter” Peter H Charlton / CC BY 4.0 (cropped)
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