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Human Data Interaction Lab
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A lab that studies learning support and related topics, centered on how people interact with data.
AboutAbout the lab
Delivering the right information to the right people.
The Human Data Interaction Lab studies how to deliver information in situations where people and data meet.
The lab explains the relationship between this field and data science by comparing it to the relationship between human-computer interaction and computer science.
The lab conducts research on learning and discussion settings, such as university course recommendation, language learning, programming education, and discussions in VR.
Key terms
- Human-data interaction
- An area of interest in data science that deals with the points where people and data meet.
- Recommender system
- A mechanism that selects and suggests items likely to suit a user. In this lab, it is used to recommend courses.
- Learning analytics
- An approach that uses learning data to understand learners and applies that understanding to support their learning.
NewsLab news
A paper on the analysis of group discussions in VR was published in Front. Comput. Sci.
A paper received the Best Paper Award at the international conference Cognition and Exploratory Learning in Digital Age
ResearchResearch themes
In a world overflowing with information, how can the necessary information be delivered to the right person, at the right time and place, and in the right way? Guided by this question, the lab pursues "human-data interaction," which deals with situations where people and data meet, through research on course recommendation, learning support, and more.
*Illustrative imageData sharing for people with limited internet access
The lab designs and develops an environment in which data can be shared in a distributed way, for people who cannot easily connect to the internet. The project is aimed at learners in developing communities.
*Illustrative imageExplainable course recommendation
The lab studies methods for course recommender systems that let people understand, in a human-readable form, why a particular course is being recommended. In addition to using educational knowledge, the lab also experiments with using large language models to build course concepts and prerequisite relationships between courses.
*Illustrative imageHuman-centered AI that supports learning
Based on learning analytics, the lab studies the design of AI that understands learners and supports their learning. This includes course recommendation, analysis of how people read e-books, support for language learning, and AI support for learning programming.
*Illustrative imageAI that supports students' money management
University students' concerns about budgeting, saving, and cutting spending differ from person to person. The lab designs feedback using large language models so that the way of communicating and the tone suit each user.
MembersFaculty
The members of the Human Data Interaction Lab consist of faculty, collaborators, doctoral, master's, and undergraduate students, and research students.As of 2026
- ProfessorShinichi Konomi
- Assistant ProfessorBoxuan Ma
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: “APRENDIZAJE SIGNIFICATIVO” SAMMYTQM / CC BY-SA 4.0 (cropped)
- Data sharing for people with limited internet access: “SN 5 Factors Datasharing Poster-page-001” Lucraft, Mithu; Baynes, Grace; Allin, Katie; Hrynaszkiewicz, Iain; Khodiyar, Varsha / CC BY 4.0 (cropped)
- Explainable course recommendation: “Robert Trent Jones Golf Course at Cornell University 2nd tee” Jonathan Schilling / CC BY-SA 4.0 (cropped)
- Human-centered AI that supports learning: “Students clearing the land 5” daSupremo / CC BY-SA 4.0 (cropped)
- AI that supports students' money management: “386th AEW Financial Management flight makes money moves (8925647)” U.S. Air Force photo by Senior Airman Julian Atkins / Public domain (cropped)
- Related lab (AI教育研究室): “Learning to Code” Preply.com Images / CC BY 2.0 (cropped)
- Related lab (
行動情報学研究室): “Biology field trip Cedar Point Biological Station” Scott L. Gardner / CC BY-SA 4.0 (cropped) - Related lab (イメージ・メディア理解研究室): “USB webcam for PC” WrS.tm.pl / CC0 (cropped)
- Related lab (コンピュータビジョン・グラフィクス・VR 研究室): “3D Scanning Team” IT Photography / CC BY-SA 4.0 (cropped)
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