As illustrated in FIG. 5, processing determines whether there are one or more candidate stress-inducing elements for removal 526. If “no”, then there is no modification, or no further modification, to the real world field of view viewable by the user through the augmented reality device 529. Assuming that there are one or more stress-inducing elements in the user's field of view to be removed, then spatial mapping of the environment surrounding the one or more stress-inducing elements to be removed can be employed 530. This can be done through a mesh-mapping system that is in-built in standard AR devices. Region tracking with 3-D positions can then be performed through simultaneous localization and mapping (SLAM) techniques 532. Existing APIs for augmented reality systems help manage spatial mapping of an environment, as well as performing post-processing operations on the spatial mapping. In one or more implementations, stress-inducing element tracking can be automatic due to the SLAM being performed during the spatial mapping stage. SLAM continually determines, for instance, the camera's position relative to the origin of the environment, and all 3-D locations are mapped relative to the origin as well. Once an object or element has been selected, its 3-D location within the spatial mapping is all that is needed to locate the object per frame. Processing can then perform element removal or diminishing 534. For instance, in-painting can be used, which relies on the idea that patterns are common in nature and often repeated. By repeating nearby patterns in front of the selected region, the element will appear to vanish. A neural network can also be used to learn and repeat patterns from similar images to provide a realistic diminished result. Post-processing 536 can then be performed to provide the augmented real world field of view image to the user's AR display 536. The augmented real world field of view is then displayed to the user via the AR device 538.