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

  • (to appear) Constantine Stephanidis, Gavriel Salvendy, Margherita Antona, Vincent G. Duffy, Qin Gao, Waldemar Karwowski, Shin’ichi Konomi, Fiona Nah, Stavroula Ntoa, Pei-Luen Patrick Rau, Keng Siau, Jia Zhou, Seven HCI Grand Challenges Revisited: Five-Year Progress, International Journal of Human-Computer Interaction, https://doi.org/10.1080/10447318.2025.2450411.

  • (to appear) Tianyuan Yang, Baofeng Ren, Chenghao Gu, Boxuan Ma, Tianjia He, Shin’ichi Konomi, Towards Better Course Recommendations: Integrating Multi-Perspective Meta-Paths and Knowledge Graphs, Proc. of the 15th Learning Analytics and Knowledge Conference, ACM

  • (published) Jiadong Chen, Chenghao Gu, Jiayi Zhang, Zhankun Liu, Boxuan Ma, Shin’ichi Konomi, Coordination of Speaking Opportunities in Virtual Reality: Analyzing Interaction Dynamics and Context-Aware Strategies, Applied Sciences, 14(24):12071, 2024.

  • (published) Feike Xu, Boxuan Ma, Shin’ichi Konomi, EEMR: An Emotion-Enhancing Hybrid Recommendation Mechanism for Music Playlists, Proc. of the 20th Web Intelligence and Interaction (ARG SIG-WI2) Workshop, Karatsu, December 2024 (Student Encouragement Award)

  • (published) Baofeng Ren, Shin’ichi Konomi, Development of a Recommendation Model That Considers Differences of Diversity Torelance (異なる多様性許容度に対応した推薦モデルの開発), Proc. of the 20th Web Intelligence and Interaction (ARG SIG-WI2) Workshop, Karatsu, December 2024 (in Japanese)

Info

  • Information for prospective research students: If you are interested in joining our lab as a research student, please send your resume along with your email address, information about your academic performance, and proficiency in English and/or Japanese. If you pass an initial screening, you will receive a response (usually in one or two weeks) by email regarding an online interview.