Grayscale Gradation Representation for Direction-Dependent Visualization using High-Speed Projection

Projection-based information display offers the advantage of presenting information to multiple users simultaneously using a single device. However, because all users inevitably view the same projected content, it is difficult to provide personalized information tailored to individual users. To overcome this limitation, prior work has introduced high-speed projection techniques that display different images depending on the observer’s gaze movement direction. These methods require neither tracking devices nor user-specific hardware; instead, the perceived content changes solely through the observer’s own gaze motion. Nevertheless, the presentable images have been restricted to binary images. In this study, we extend this paradigm by enabling grayscale representation, and we propose a method for achieving richer visual presentation for directiondependent visualization.