Subtle gaze-dependent techniques for visualising display changes in multi-display environments
Subtle gaze-dependent techniques for visualising display changes in multi-display environments
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DOI：
10.1145/2449396.2449416
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发表时间：
2013-03
期刊：
影响因子：
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通讯作者：
Jakub Dostal;P. Kristensson;A. Quigley
中科院分区：
文献类型：
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作者：
Jakub Dostal;P. Kristensson;A. Quigley
本文探讨了在多显示环境中可视化显示变化的技术。我们提出了四种微妙的注视依赖技术，用于在无人值守的显示器上可视化变化，称为FreezeFrame， PixMap， WindowMap和Aura。为了使这些技术能够直接部署到工作站，我们还提出了一个系统，该系统使用计算机视觉和安装在显示器上的一组网络摄像头自动识别用户的眼睛。评估结果表明，该系统能够以较高的准确率检测出用户正在关注的显示。我们在一个为期五天的案例研究中研究了可视化技术的有效性。这个人连续5天每天使用我们的系统8小时。研究结果表明，参与者发现该系统和技术有用，微妙，平静和非侵入性。最后，我们讨论了使用传统实验范式评估智能微妙交互技术所面临的挑战。
This paper explores techniques for visualising display changes in multi-display environments. We present four subtle gaze-dependent techniques for visualising change on unattended displays called FreezeFrame, PixMap, WindowMap and Aura. To enable the techniques to be directly deployed to workstations, we also present a system that automatically identifies the user's eyes using computer vision and a set of web cameras mounted on the displays. An evaluation confirms this system can detect which display the user is attending to with high accuracy. We studied the efficacy of the visualisation techniques in a five-day case study with a working professional. This individual used our system eight hours per day for five consecutive days. The results of the study show that the participant found the system and the techniques useful, subtle, calm and non-intrusive. We conclude by discussing the challenges in evaluating intelligent subtle interaction techniques using traditional experimental paradigms.