Researcher and builder working across AI-Guided Learning, human-computer interaction, social computing, and machine learning.
I defined and developed AI-Guided Learning as a research framework in my University of Tokyo doctoral dissertation. It uses AI to guide and scaffold knowledge and skill acquisition across three connected phases — Consume, Understand, and Imitate — while preserving learner autonomy.
- AI-Guided Learning — doctoral dissertation and framework
- Full text on arXiv (arXiv:2608.08990; DOI: 10.48550/arXiv.2608.08990)
- Official University of Tokyo dissertation record
- Social Computing Deadlines — submission deadlines and conference dates for social computing, HCI, web science, and computational social science.
- Social Computing Best Papers — a source-linked index of Best Paper awards across major research venues.
- DirScribe — a CLI and Python library for exporting directory structures with optional contents and metadata.
- Deep State-Space Model for Noise-Tolerant Skeleton-Based Action Recognition — implementation of the 2020 IEICE paper.
social-computing · hci · ai · llm · human-centered-computing