Human Data Interaction Lab

What's HDI

A wealth of information creates a poverty of attention (Simon, 1971). How can we then provide the right information at the right time, at the right place, in the right way, and to the right people, thereby helping people to address important problems? Our research focuses on Human-Data Interaction (HDI), which is a Data Science concern around the intersection of humans and data. The relationship between HDI and Data Science is much like the one between Human-Computer Interaction (HCI) and Computer Science.

News

• Yinjie Xie, Boxuan Ma, Shin’ichi Konomi, Feedback Styles in AI Budgeting Support: Evidence of User Heterogeneity, Human Work Interaction 2026 (to appear)
• Yinjie Xie, Boxuan Ma, Shin’ichi Konomi, Who Budgets and Who Doesn’t? Exploring Student Group Differences to Design Inclusive Budgeting Tools, The 41st Annual ACM Symposium on Applied Computing (SAC 2026).
• Te Meng, Shin’ichi Konomi, SkyOne Mirror: A Screenshot-Based Lifelogging and Content Curation Framework for Contextual Recall and Reflection, IEICE SIG-LOIS Workshop, Tokyo, May 2026.
• Tianyuan Yang, Ren Baofeng, Chenghao Gu, Feike Xu, Boxuan Ma and Shinichi Konomi, Augmenting Student Profiles and Course Attributes with Large Language Models for Course Recommendation, Int. Conf. Educational Data Mining (EDM2026) (to appear)
• Shin’ichi Konomi, Doreen Mushi, Lulu Gao, Baofeng Ren, Tianyuan Yang, Jiadong Chen, Boxuan Ma, Yuuki Nishiyama, Kohei Hatano, Kaoru Sezaki, DCL4D: Enabling Distributed Cooperative Learning Environments for Development, Posters at HCI International 2026 (to appear)
• Boxuan Ma, Sora Fukui, Yuji ANdo, Shin’ichi Konomi, Integrating Forgetting Behavior and Linguistic Features in Language Learning Models, ACM Trans. Knowledge Discovery from Data, 20, 2, pp.1-26 (2026)

Info

• (April 4, 2026) At this moment, we are not accepting new research students. Please check back later.