眼动跟踪实现的跨设备分布式注意力感知界面

发布时间：2018-06-16 11:06

本文选题：注视点 + 分布式用户界面　；参考：《计算机辅助设计与图形学学报》2017年09期

【摘要】：为了提高用户在跨设备交互环境下的输入操作效率,减小视觉注意力在不同设备间切换时产生的认知负荷,提出基于眼动跟踪的跨设备注意力感知界面技术.首先提取设备屏幕边缘,结合屏幕几何特征和颜色直方图进行不同设备的识别,基于支持头部运动的瞳孔-反光点向量模型计算注视点坐标数据,并根据驻留时间和多设备协同机制识别目标感兴趣区;然后建立分布式感知用户界面的任务管理模型,控制任务的分发、中断与继续以及评估,并利用产生式规则驱动用户界面的转换,提出界面设计的指导原则;最后设计与开发了一个面向跨设备阅读的感知界面原型系统,包括最后阅读位置提示、单词词义与例句自动注释等功能.用户测试结果表明,原型系统感知用户注意力在不同设备之间切换的准确率达到94%,并有效地提高了用户阅读理解水平、阅读效率以及主观满意度.
[Abstract]:In order to improve the input efficiency of users in cross-device interactive environment and reduce the cognitive load caused by visual attention switching between different devices, a cross-device attention-aware interface technology based on eye movement tracking is proposed. Firstly, the edge of the screen is extracted, and different devices are recognized by combining the geometric features of the screen and the color histogram, and the coordinate data of the fixation point are calculated based on the pupillal-reflective point vector model which supports the movement of the head. Then the task management model of distributed aware user interface is established to control the distribution, interruption, continuation and evaluation of tasks. Finally, a prototype system of perceptual interface for cross-device reading is designed and developed, including the final reading location hint. Word meaning and example sentence automatic annotation and other functions. The results of user test show that the prototype system can realize the accuracy of user's attention switching between different devices and improve the user's reading comprehension level, reading efficiency and subjective satisfaction effectively.
【作者单位】：浙江工业大学计算机科学与技术学院;
【基金】：国家重点研发计划(2016YFB1001403) 国家自然科学基金(61272308) 浙江省自然科学基金(LY15F020030)
【分类号】：TP391.41

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