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Are You Looking at Me? Eye Contact and Desktop Video Conferencing

机译:你在看我吗?眼神交流和桌面视频会议

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Mutual gaze is an important conversational resource, but is difficult to provide using conventional video conferencing equipment due to the disparity between the position of the camera and the position of the eyes on the screen. Various elaborate inventions have been proposed to get around this problem but none have found wide use. The alternative explored here is that these expensive alternatives may be unnecessary. Users of conventional desktop video equipment may, under the right conditions, be able to learn to interpret what is at first sight inappropriate apparent gaze direction as signalling that the other person is "looking at me." Data are presented from two experiments where an estimator judges where a gazer is looking. The gazer may be looking either at the desktop video image of the estimator or some point to the side. Experiment 1 compared two image sizes and two camera positions. While the size of the image (352 x 288 pixels versus 176 x 144) had no significant effect on participants' ability to judge where the gazer was looking, horizontally offsetting the position of the camera inhibited performance. Experiment 2 examined the effect of reducing the image size further. The smallest image size (88 x 72 pixels) resulted in poorer performance than the intermediate (176 x 144). The results show that it is possible for users of low cost desktop video conferencing to learn to interpret gaze direction to a very high degree of accuracy if the equipment is configured optimally. The practical and theoretical implications of these results are discussed.
机译:相互注视是重要的会话资源,但是由于摄像机的位置与屏幕上的眼睛的位置之间存在差异,因此使用常规的视频会议设备很难提供相互注视。已经提出了各种复杂的发明来解决这个问题,但是没有一个被广泛使用。这里探讨的替代方案是这些昂贵的替代方案可能是不必要的。传统台式视频设备的用户在正确的条件下可能能够学习解释什么是乍看之下不适当的视线方向,从而表明对方正在“看着我”。数据来自两个实验,估算员判断凝视者在看什么。凝视者可能正在看着估算器的桌面视频图像,或者正在指向侧面。实验1比较了两种图像尺寸和两种相机位置。尽管图像的大小(352 x 288像素对176 x 144)对参与者判断凝视者注视位置的能力没有显着影响,但是水平偏移相机的位置会抑制性能。实验2研究了进一步减小图像尺寸的效果。最小的图像尺寸(88 x 72像素)导致性能比中间图像(176 x 144)差。结果表明,如果设备进行了最佳配置,则低成本桌面视频会议的用户就有可能学会以很高的准确性解释注视方向。讨论了这些结果的实践和理论意义。

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