Dually Noted: Layout-Aware Annotations with Smartphone Augmented Reality
Dually Noted: Layout-Aware Annotations with Smartphone Augmented Reality
复制标题
双重注释：通过智能手机增强现实进行布局感知注释
DOI：
10.1145/3491102.3502026
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
and Huang, J.
中科院分区：
文献类型：
--
作者：
Qian, J.;Sun, Q.;Wigington, C.;Han, H.L.;Sun, T.;Healey, J.;Tompkin, J.;and Huang, J.
共享注释鼓励读者之间的反馈、讨论和知识传递，并且可以有益于个人和公共使用。现有的增强现实（AR）系统已经将这些益处扩展到数字和打印文档两者。然而，尽管智能手机AR现在广泛使用，但缺乏关于如何有效使用AR进行交互式文档注释的研究。我们提出了Dually Noted，一个基于智能手机的AR注释系统，它可以识别打印文档中结构元素的布局，以实现实时编辑和查看注释。我们与八名用户进行了体验原型设计，以获得智能手机AR中的潜在优势和挑战，这为最终的Dually Noted系统和注释与文档元素的交互提供了信息。AR注释通常很笨重，但在一项12用户的实证研究中，我们的新型结构理解组件允许Dually Noted将精确的突出显示和注释交互准确性提高13%，将交互速度提高42%，并且在没有文档布局理解的情况下，显著降低了基线方法的认知负荷。质量方面，与会者评论说，Dually Noted是一种快速和便携式的注释体验。总的来说，我们的研究为如何改进物理文档的AR注释提供了新的方法和见解。
Sharing annotations encourages feedback, discussion, and knowledge passing among readers and can be beneficial for personal and public use. Prior augmented reality (AR) systems have expanded these benefits to both digital and printed documents. However, despite smartphone AR now being widely available, there is a lack of research about how to use AR effectively for interactive document annotation. We propose Dually Noted, a smartphone-based AR annotation system that recognizes the layout of structural elements in a printed document for real-time authoring and viewing of annotations. We conducted experience prototyping with eight users to elicit potential benefits and challenges within smartphone AR, and this informed the resulting Dually Noted system and annotation interactions with the document elements. AR annotation is often unwieldy, but during a 12-user empirical study our novel structural understanding component allows Dually Noted to improve precise highlighting and annotation interaction accuracy by 13%, increase interaction speed by 42%, and significantly lower cognitive load over a baseline method without document layout understanding. Qualitatively, participants commented that Dually Noted was a swift and portable annotation experience. Overall, our research provides new methods and insights for how to improve AR annotations for physical documents.
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