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arXiv 1908.09348cs.HC
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室外光学透明AR中的颜色混合:真实世界背景对用户界面颜色的影响

Color Blending in Outdoor Optical See-through AR: The Effect of Real-world Backgrounds on User Interface Color

Joseph L. Gabbard, J. Edward Swan, Adam Zarger

摘要:

已经注意到,环境照明条件和动态真实世界背景影响光学透视增强现实(AR)显示器的可用性;尤其是在户外环境中。我们之前的工作使用绘画海报作为代表性的现实世界背景来研究这些效果。在本文中,我们提出了一项研究,采用了一个实验测试平台,允许AR图形覆盖到现实世界的背景以及绘画海报。我们的研究结果表明,物理材料作为背景的颜色混合效果几乎相同,其对应的海报背景,即使每对的颜色只是一个同色异谱匹配。更重要的是,我们的研究结果表明,鉴于目前的光学透视盔装显示器(oHMD)的能力,影响是,在最低限度,减少色域提供给用户界面(UI)设计师。在更糟糕的情况下,有未知或意外的颜色交互,没有UI或系统设计师可以计划;显著削弱UI的可用性或改变图形元素的语义解释。此外,我们的研究结果支持自适应AR系统的概念,它可以动态地改变UI元素的颜色的基础上预测的背景颜色的相互作用。这些相互作用可以通过本工作中提出的方法进行研究和预测。

英文摘要:

It has been noted anecdotally and through a small number of formal studies that ambient lighting conditions and dynamic real-world backgrounds affect the usability of optical see-through augmented reality (AR) displays; especially so in outdoor environments. Our previous work examined these effects using painted posters as representative real-world backgrounds. In this paper, we present a study that employs an experimental testbed that allows AR graphics to be overlaid onto real-world backgrounds as well as painted posters. Our results indicate that color blending effects of physical materials as backgrounds are nearly the same as their corresponding poster backgrounds, even though the colors of each pair are only a metameric match. More importantly, our results suggest that given the current capabilities of optical see-through head-mounted displays (oHMDs), the implications are, at a minimum, a reduced color gamut available to user interface (UI) designers. In worse cases, there are unknown or unexpected color interactions that no UI or system designers can plan for; significantly crippling the usability of the UI or altering the semantic interpretation of graphical elements. Further, our results support the concept of an adaptive AR system which can dynamically alter the color of UI elements based on predicted background color interactions. These interactions can be studied and predicted through methods such as those presented in this work.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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