PhD Candidate in Human–AI Collaboration
I design intelligent systems that strengthen human decision-making — combining multimodal behavioral analysis with cognitive state modeling to make AI collaboration trustworthy and useful in practice.
Advised by Professor Kazuo Hiekata
Recent
Paper accepted at CIKM 2026 — Sensing How Users Adapt to AI Decision Support: A Multimodal Eye and Mouse Tracking Study
Launched the CAS 2026 Paper Network for conference attendees.
I independently designed and developed the one-month project: an interactive 3D semantic map connecting 51 papers through 125 links. It was used during CAS 2026 and received positive feedback.
Paper accepted at IJHCI — Calibrated Intervention in Human-AI Collaborative Forecasting.
Currently working on
An eye-tracking study of when human corrections improve an AI forecast—and when confident intervention makes it worse.
Read more →
Studying air traffic controller attention management with eye tracking during radar monitoring and coordination with pilots.
Read more →Building
A full-stack cruise procurement platform that embeds an LLM agent inside an approval-gated workflow spanning document intake, RFQ generation, supplier coordination, and execution.
A purpose-driven, role-agnostic reading community in Tokyo, built around shared interests and in-person conversation.
Floor-plan-aware multimodal property discovery.
Writing
Zhang, Y., Hiekata, K., & Nakashima, T.
Published · International Journal of Human-Computer Interaction
Sensing How Users Adapt to AI Decision Support: A Multimodal Eye and Mouse Tracking Study
Y. Zhang
Accepted · 35th ACM International Conference on Information and Knowledge Management (CIKM 2026)
Process-Informed Crowd Selection: Recovering Collective Prediction Gains Under AI Anchoring Through Eye-Tracking-Based Evidence Engagement Estimation
Y. Zhang, K. Hiekata, T. Nakashima, Q. Shao
Preprint · Under Review · ACM Transactions on Computer-Human Interaction (TOCHI)
Y. Zhang, K. Hiekata, T. Nakashima, Q. Shao
Accepted · 32nd Int. Conf. Transdisciplinary Engineering (TE2025)
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