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.
翻译:引导下屏幕关注点(POIs)是向小型屏幕设备用户提供补充信息的实用方法,例如智能装置和头顶显示器。流行的以往方法包括显示屏幕上称为屏蔽的原始数字,供用户在无形顶点上估计离屏幕的POI值。因为他们使用被称为“模式完成”的认知过程,用户可以想象整个数字,即使其中的一部分被隐蔽,但局部化准确性受到偏差和个人差异的影响。为了提高准确性,我们提议使用考虑到其影响的认知成本优化数字。我们还设计了两种具有不同参数的优化:无偏向顶端(UOW)和偏向顶端(BOW)。实验结果表明,OptWedge在距离远于超自然学方法方面获得了更准确的指导。