研究方向
我的研究聚焦于眼动交互（Eye Tracking Interaction）与人机交互（HCI），关注如何让交互系统更自然、更高效、更可解释。
My research focuses on eye-tracking interaction and HCI, with the goal of building interaction systems that are natural, efficient, and interpretable.
核心研究主题
- 眼动交互：凝视触发、平滑追踪、眼手协同交互。
- AR/VR 交互系统：面向沉浸式场景的人机协作与可用性优化。
- 注意力与认知信号：基于瞳孔与眼动特征建模用户状态。
- 交互算法优化：提高鲁棒性、精度与实时性能。
- Eye-Tracking Interaction: gaze triggering, smooth pursuit, and eye-hand coordination.
- AR/VR Interactive Systems: human-machine collaboration and usability optimization in immersive settings.
- Attention and Cognitive Signals: user-state modeling from pupil and gaze features.
- Interaction Algorithm Optimization: improving robustness, accuracy, and real-time performance.
当前公开研究方向
眼头协同输入 探索眼头协同策略在文本输入和目标选择任务中的效率提升。 Investigating eye-head coordination for improving efficiency in text entry and target selection.
平滑追踪交互 研究平滑追踪在复杂界面中的输入稳定性与容错机制。 Studying smooth-pursuit input stability and error tolerance in complex interfaces.
眼控系统设计 结合实验与系统实现，形成可复用的眼控交互设计建议。 Combining empirical studies and system implementation into reusable design recommendations.
研究原则
- 问题导向：优先解决真实交互场景中的关键痛点。
- 实验与工程并重：从可验证实验走向可部署系统。
- 公开透明：仅展示已公开、已发表或可公开披露内容。
- Problem-driven: prioritize real bottlenecks in practical interaction scenarios.
- Balanced methodology: combine empirical validation with deployable engineering.
- Public-first: only present published or publicly shareable content.