论文标题
Optwedge：屏幕外POI的认知优化指导
OptWedge: Cognitive Optimized Guidance toward Off-screen POIs
论文作者
论文摘要
指导屏幕外兴趣点（POI）是一种为小屏幕设备的用户提供其他信息的实用方法，例如智能设备和头部安装的显示器。流行的先前方法涉及在屏幕上显示一个称为楔子的原始图，以供用户在隐形顶点估算屏幕外POI。因为他们利用称为Amodal完成的认知过程，即使一部分被阻塞，用户也可以想象整个数字，因此本地化准确性会受到偏见和个体差异的影响。为了提高准确性，我们建议使用考虑影响影响的认知成本来优化数字。我们还设计了具有不同参数的两种优化类型：无偏的Optwedge（UOW）和有偏见的Optwedge（Bow）。实验结果表明，与启发式方法相比，Optwedge可实现更准确的指导。
Guiding off-screen points of interest (POIs) is a practical way of providing additional information to users of small-screen devices, such as smart devices and head-mounted displays. Popular previous methods involve displaying a primitive figure referred to as Wedge on the screen for users to estimate off-screen POI on the invisible vertex. Because they utilize a cognitive process referred to as amodal completion, where users can imagine the entire figure even when a part of it is occluded, localization accuracy is influenced by bias and individual differences. To improve the accuracy, we propose to optimize the figure using a cognitive cost that considers the influence. We also design two types of optimizations with different parameters: unbiased OptWedge (UOW) and biased OptWedge (BOW). Experimental results indicate that OptWedge achieves more accurate guidance for a close distance compared to heuristics approach.
