  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.
