基于眼动的人机交互辅助技术研究

Research on HCI Assistant Technology Based on Eye Movement

目的探讨多屏桌面交互过程中,利用眼动意图预测来辅助鼠标跨屏移动,促进人机交互效率的提升。方法采用眼动分析仪采集眼动和手控数据,运用聚类和贝叶斯推断方法建立眼动意图算法,基于眼动交互模式构建模拟业务平台。结果(1)提出了鼠标移动的眼动意图预测算法;(2)搭建了手控鼠标眼动交互模式的模拟业务平台;(3)基于眼动意图预测算法的鼠标有效眼控精度达到了95.0%,眼动辅助手控鼠标移动效率提升24.4%。结论眼动意图分析可以辅助手控鼠标操控,大大提升交互效率。

Objective Explore the way to use gaze-based intention prediction to assist the cross-screen mouse moving,to improve the efficiency of human computer interaction in multi-screen desktop interaction scenarios.Methods Capture the gaze and operational data using eye tracker devices,design the gaze-based intention prediction methods based on clustering and Bayes inference,and construct the simulation business platform.Results(1)Gaze-based intention prediction method is proposed for assisting mouse moving.(2)Simulation business platform for gaze interaction coordinated with manually controlled mouse is constructed.(3)The Bayes-based intention prediction method achieves the accuracy of 95.0%on gaze-based functional mouse control and the efficiency promotion of 24.4%on manually controlled mouse movement.Conclusion Gaze can assist the mouse control and greatly improve the interaction efficiency.