投审稿平台


投稿指南
下载专区
地  址:北京市海淀区中关村科学院
南路6号中国科学院计算所342号 [地图]
《计算机辅助设计与图形学学报》编辑部
邮政编码:100190
电  话:010-62562491
          010-62600342
订阅信息
ISSN      1003-9775
CN        11-2925/TP
邮发代号:82-456
单    价:80.00元
全年订价:960.00元
在线期刊

眼动跟踪实现的跨设备分布式注意力感知界面

程时伟, 沈晓权, 陆煜华, 孙志强
(浙江工业大学计算机科学与技术学院 杭州 310023)
分类号: TP391.41
出版年,卷(期):页码: 2017 , 29 ( 9 ): 1713-1724 程时伟
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.
关键词: 注视点; 分布式用户界面; 注意力感知界面; 跨设备交互
Distributed Attentive User Interface for Cross-device Interaction Based on
Cheng Shiwei, Shen Xiaoquan, Lu Yuhua, and Sun Zhiqiang
(School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023)
abstract: In order to improve input efficiency in the cross-device interaction environment, and reduce cognitive workload during the process of switching visual attention among different devices, the eye tracking based attentive user interface for cross-device was proposed. First, extracted the edges of devices’ screens, and then combined the geometry characters and the color histograms of the screens to detect different devices. The pupil center cornea reflection algorithm was used to calculate the gaze fixations’ coordinates with supporting head movement. Detected areas of interest based on the gaze dwell time and collaborative recognition schemes across devices. Furthermore, proposed the task management model for distributed attentive user interface, and utilized this model to control task allocating, pausing, continuing and evaluating. Besides, applied production rules to change user interfaces, and then defined related design guidelines. Finally, built a cross-device English reading prototype system, including the functions such as notification of the last reading positions and adaptive annotations of word explanation. The user study results showed that the participants’ visual attention detection accuracy was 94%, and the participants’ reading comprehension, reading efficiency and subjective satisfaction were also improved.
keyword: fixation; distributed user interface; attentive user interface; cross-device interaction
 
Copyright © 2004《计算机辅助设计与图形学学报》版权所有
电话:010-62600342 传真:010-62562491
E_mail:jcad@ict.ac.cn