Subtle cueing for visual search in augmented reality

Abstract

Visual search in augmented reality environments is an important task that can be facilitated through different cueing methods. Current cueing methods rely on explicit cueing, which can potentially reduce visual search performance. In comparison, this paper proposes a subtle cueing method that improves visual search performance while being clutter-neutral. Two empirical user studies were conducted to evaluate our subtle cueing method in outdoor scenes. The results show that subtle cueing functions well within a narrow Feature Congestion range, and could be a feasible alternative to explicit cueing.