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

• Changhao Gu, Jiadong Chen, Tianyuan Yang, Feike Xu, Boxuan Ma, Shin’ichi Konomi, Analyzing VR-based group discussions for timely speaking-intention feedback to leaders, Front. Comput. Sci. 8:1794972. doi: 10.3389/fcomp.2026.1794972 (19 June 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), june 29-July 3, 2026.
• Nanae Watanabe, Masahiro Tada, Shin’Ichi Konomi, Keisuke Koba, Masaya Okada, Computational Modeling of the Process of Scientific Inquiries, ISLS 2026, June 15-19.
• Yinjie Xie, Boxuan Ma, Shin’ichi Konomi, Feedback Styles in AI Budgeting Support: Evidence of User Heterogeneity, Human Work Interaction 2026, June 17-18.
• 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, July 26-31, 2026.

Info

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