面向大屏幕目标选择的眼动跟踪与手势交互
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程时伟(1981-),男,湖北黄石人,博士,副教授,博士生导师,CCF专业会员,主要研究领域为人机交互,普适计算,协同计算;范菁(1969-),女,博士,教授,博士生导师,CCF杰出会员,主要研究领域为服务计算,虚拟现实,人机交互;朱安杰(1994-),男,CCF学生会员,主要研究领域为人机交互.

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程时伟,E-mail:swc@zjut.edu.cn

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基金项目:

国家重点研发计划(2016YFB1001403);国家自然科学基金(61772468)


Eye Tracking and Gesture Based Interaction for Target Selection on Large Display
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National Key Research and Development Plan (2016YFB1001403); National Natural Science Foundation of China (61772468)

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    摘要:

    眼动跟踪方法具有很强的视觉指向性,可以将其应用于面向大屏幕的目标选择,进而避免鼠标操作方式在空间上的远距离移动.然而,仅仅利用眼动跟踪进行选择操作,也会产生选择精度降低、容易产生误操作等问题.因此,为了实现大屏幕上快速、准确的目标选择,提出一种融合眼动跟踪与手势的多通道交互方法,即通过眼动跟踪选择目标,利用手势进行选择确认.在目标尺寸小、目标间距较小时,通过光标稳定和二次选择机制进一步对交互过程进行优化.用户测试结果表明,该方法可以在大屏幕上针对不同尺寸和间距的目标完成有效的选择操作,与仅使用眼动跟踪的目标选择方法相比,任务完成速度提升了16%,任务完成正确率提升了82.6%.此外,针对层级菜单的具体选择任务,该方法与仅使用眼动跟踪的方法相比,任务完成速度提升了13.6%,任务完成正确率提升了55.7%.此外,该方法总体性能接近传统的鼠标操作方式,进一步验证了该方法在实际应用中的有效性.

    Abstract:

    Mouse based target selection will require much movement when locating target across long distance on large display. On the other hand, eye tracking technique can locate target more easily and quickly across long distance. Hence, eye tracking has a high potential for fast targets selection on large displays. However, eye tracking still faces the challenges, such as low accuracy, and high error rate of selection operation, especially for gaze-only interaction. This study proposed a multimodal interaction method that combined gaze with gestures. This method utilized gaze for rough selection first, and then utilized hand gesture to confirm accurate selection. Furthermore, in order to keep the selection accuracy when targets are small and crowded, authors used semi-fixed gaze cursor and secondary selection mechanism to optimize the selection process. Finally, the method conducted a user study in different levels of target sizes and distance among targets. The results show that the selection speed and accuracy rate of proposed method are higher than those of the method only using gaze with 16% and 82.6% respectively. In addition, for the selection of the hierarchical menu items, the selection speed and accuracy rate of proposed method are higher than the those of method only using gaze with 13.6% and 55.7% respectively. In addition, the overall performance of proposed method is similar to the mouse based selection method, and it also validates the effectiveness of the proposed method.

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程时伟,朱安杰,范菁.面向大屏幕目标选择的眼动跟踪与手势交互.软件学报,2018,29(S2):75-85

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  • 收稿日期:2018-06-15
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  • 在线发布日期: 2019-08-07
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