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Informatics Lab
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The lab studies how people relate to data and the environments that support learning.

AboutAbout the lab
Rethinking how people relate to data.
Professor Shin'ichi Konomi works on human-data interaction, which explores how people relate to data, and on the research and development of environments that support learning.
The professor carries out interdisciplinary education and research across the Faculty of Arts and Science, the School of Interdisciplinary Science and Innovation, and the Graduate School of Information Science and Electrical Engineering.
In the researcher profile, data science, recommender systems, information visualization, and machine learning are listed as research keywords.
On the School of Interdisciplinary Science and Innovation page, the professor says it is important to keep questioning how people and data should relate while opening up new possibilities.
Key terms
- Recommender system
- A mechanism that selects and suggests candidates, such as products or classes, to match a user's preferences and situation.
- Information visualization
- A technology that presents data in forms such as diagrams and images so that people can grasp its content easily by looking at it.
- Learning analytics
- An approach that analyzes data obtained during the learning process and uses it to understand and improve how people learn.
ResearchResearch themes
The lab conducts research and development on how people relate to data and on environments that support learning. The researcher profile lists the following research themes.
*Illustrative imageHuman-Data Interaction
This research deals with how people relate to data. The listed research keywords include data science, recommender systems, information visualization, machine learning, activity recognition, and indoor positioning.
*Illustrative imageResearch and development of learning support environments
This is research and development on environments that support learning. The listed research keywords include support for distributed collaborative learning, learning analytics, course recommendation systems, XR applications, and intelligent support for programming education.
MembersFaculty
- ProfessorShin'ichi Konomi
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: “Spire 24h AIS Archive over Gulf of Oman” Quentin Gollier / CC BY-SA 4.0 (cropped)
- Human-Data Interaction: “Interactive-Globus” Gennadi Blindmann ( ) / Public domain (cropped)
- Research and development of learning support environments: “New Normal Learning Framework or NNL Framework” Khanb / CC BY-SA 4.0 (cropped)
- Related lab (Haptic Informatics Lab): “Braille closeup” Lrcg2012 / CC BY-SA 3.0 (cropped)
- Related lab (Health and Medical Informatics Lab): “Heart rate monitor” Vi..Cult... / CC BY-SA 3.0 (cropped)
- Related lab (Multimedia Informatics Lab): “Prototype circuit” Watty62 / CC BY-SA 4.0 (cropped)
- Related lab (Multimedia Informatics (Kosuke Kaneko) Lab): “BMW Startup Garage Office 2” Marvel44 / CC BY-SA 4.0 (cropped)
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