Lecture
SAILS Lunch Time Seminar: Qinyu Chen
- Date
- Monday 9 March 2026
- Time
- Location
- Online only
Human-centered interactive intelligence at the Edge
Abstract
Future interactive intelligence systems at the edge will increasingly be human-centered, requiring a deep understanding of human behavior, intention, and needs. Rather than designing isolated algorithms or devices, building effective edge intelligence demands an integrated view of how humans perceive, interact with, and benefit from intelligent systems. In this talk, I will present our recent work on designing human–machine interfaces that leverage multimodal human signals, including eye movements, brain activity (EEG), and voice, to enable natural and intuitive interaction. These interfaces serve as the foundation for capturing user intention and contextual information in real-world environments. I will further discuss how such human-centered sensing can be tightly coupled with efficient on-device intelligence, including compact LLM models and brain-inspired architectures, to form unified interactive systems. By integrating human sensing, intelligent processing, and system-level optimization, this work aims to advance practical edge intelligence for next-generation applications.
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