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Human Data Interaction Lab
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A data science lab studying the points where people and data meet.
AboutAbout the lab
Studying where people and data meet.
The Human Data Interaction Lab studies situations where people and data interact, from a data science perspective.
In a world overflowing with information and short on attention, the lab explores ways to deliver the information people need, when and where they need it, in a suitable form, to the people who need it.
Its projects are numerous, including course recommendation, AI that supports learning, support for students' money management, and support for discussions in VR.
The lab's website is written in English, and its name there is "Human Data Interaction Lab."
Key terms
- Human data interaction
- A research field in data science that deals with the points where people and data meet
- Course recommendation
- A mechanism that helps students choose which courses to take from among a large number of courses
- Large language model
- A type of AI that handles text. In this lab, it is used to automatically generate course concepts and to produce budget management advice
NewsLab news
View More ↗ResearchResearch themes
The lab studies human-data interaction, a field of data science that deals with the points where people and data meet. It aims to deliver the information people need, when and where they need it, in a suitable form, to the people who need it, and to help people tackle the issues that matter.
*Illustrative imageData-sharing environments for people with limited internet access
The lab designs and develops an environment in which data can be distributed and shared, for people who cannot easily connect to the internet. The project targets learners in developing communities.
*Illustrative imageCourse recommendation using knowledge and LLMs
The lab studies ways to make the reasons behind course recommendations easier to understand by using knowledge such as the concepts of courses and the relationships among them. It also studies using large language models to automatically generate course concepts and prerequisite relationships from syllabi.
*Illustrative imageHuman-centered AI that supports learning
The lab aims to build an AI framework that understands learners from learning data and encourages reflection and self-regulation. It covers course recommendation, analysis of how e-books are read, support for language learning, and AI that helps with learning programming.
*Illustrative imageAI advice to support students' money management
To address the challenges students face in budgeting and managing spending, the lab designs personalized advice using large language models. It focuses on whether the tone and phrasing of the advice suit users, and investigates this through surveys and experiments.
MembersFaculty
The members of the Human Data Interaction Lab consist of faculty, collaborators, doctoral and master's students, research students, and undergraduate students.As of 2026
- ProfessorShinichi 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: “School of Data Science - University of Virginia - terrace” School of Data Science at the University of Virginia / CC BY 4.0 (cropped)
- Data-sharing environments for people with limited internet access: “Green Mountain Community Network bus” Sashimi-b / CC BY-SA 4.0 (cropped)
- Course recommendation using knowledge and LLMs: “Wikidata Knowledge Graph - Edmonia Lewis - 2022” Fuzheado / CC BY-SA 4.0 (cropped)
- Human-centered AI that supports learning: “Tabletunterricht 06” Aigner Ronja, Kohlmeier Michelle / CC0 (cropped)
- AI advice to support students' money management: “19th century money box” Prolete / CC0 (cropped)
- Related lab (AI Education Lab): “Online learning img” Oconnoras / CC BY-SA 4.0 (cropped)
- Related lab (Image and Media Understanding Lab): “Moskovskaya” Artyom Svetlov / CC BY-SA 4.0 (cropped)
- Related lab (Computer Vision, Graphics, and VR Lab): “Einsatz von Augmented Reality im Service von HAHN Automation” HAHN Group / CC BY-SA 4.0 (cropped)
- Related lab (Hacking Reality Lab): “InclusiveGameLab Person-Playing-Virtual-Reality 12 CC-BY-SA” InclusiveGameLab / CC BY-SA 4.0 (cropped)
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