Traditional training methods in industrial environments often lack real-time guidance and interactive feedback, which can make knowledge sharing challenging. Augmented Situated Visualization (SV) can improve industrial training by providing in-depth, spatially relevant instructions, which are particularly valuable when safety procedures are crucial. This work describes a tool for SV deployed on a commercial headset and investigates how two different SV patterns, 2D labels and 3D ghosts, impact user experience, workload, discomfort, task completion time, and memory recall in a training scenario for machine maintenance.