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首页> 外文会议>2016 IEEE VR 2016 Workshop on Perceptual and Cognitive Issues in AR >Effects of real-world backgrounds on user interface color naming and matching in automotive AR HUDs
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Effects of real-world backgrounds on user interface color naming and matching in automotive AR HUDs

机译：现实背景对汽车AR HUD中用户界面颜色命名和匹配的影响

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This study investigated which optical see-through AR user interface colors are most robust across different real-world driving backgrounds. We consider AR colors to be robust if they (1) support effective visual search task performance with low variability, and (2) retain their color semantics independent of background. Twelve experienced drivers performed two types of visual tasks; a structured (text) and a semi-structured (symbol) visual search task; using a head-up display. Drivers experienced eight user interface colors against three backgrounds (brick, grass, pavement) with repetition. We measured user task performance (response time & errors) as well as color recognition (color matching and naming). Our results showed no significant differences in response time across backgrounds, but identified significant differences in response time between colors within each background. For both text and symbol tasks, participants consistently matched perceived AR user interface colors to World Color Survey stimulus palette locations that were brighter as compared to the source AR color locations. Blue, green, and yellow AR colors showed very little hue shift, and participants verbally identified these colors by name with a high degree of accuracy as compared to other colors. Our results are generally consistent with other findings, in that we observed washout effects when using AR technology. Despite the washout, we found blue, green, and yellow AR colors to be fairly robust across all background and task conditions.
机译：这项研究调查了在不同的现实世界驾驶背景下，哪种光学透明AR用户界面颜色最稳定。如果AR颜色（1）支持具有低可变性的有效视觉搜索任务性能，并且（2）保留其颜色语义独立于背景，则我们将其视为健壮的。十二名经验丰富的驾驶员执行了两种视觉任务：结构化（文本）和半结构化（符号）视觉搜索任务；使用平视显示器。驾驶员在三种背景（砖，草，人行道）上反复体验八种用户界面颜色。我们测量了用户任务性能（响应时间和错误）以及颜色识别（颜色匹配和命名）。我们的结果表明，不同背景之间的响应时间没有显着差异，但是发现每种背景内的颜色之间的响应时间也存在显着差异。对于文本和符号任务，参与者始终将感知到的AR用户界面颜色与“世界色彩调查”刺激调色板位置相匹配，与源AR颜色位置相比，该调色板位置更亮。蓝色，绿色和黄色的AR颜色几乎没有色相偏移，与其他颜色相比，参与者以名字的方式口头辨认了这些颜色。我们的结果通常与其他发现一致，因为我们观察到使用AR技术时的冲刷效果。尽管存在这种冲刷，我们发现蓝色，绿色和黄色的AR颜色在所有背景和任务条件下都相当稳定。

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