As illustrated in FIG. 2, and as noted above, program code 241 executing on computing resource(s) 240 can include a learning agent which continually learns (in one embodiment) and updates the patterns that form one or more models 243 used, for instance, by the image processing module 244 to, for instance, process sensor data indicative of a stress level of the user, identify one or more stress-inducing elements for a particular user to be hidden in the real world field of view viewable by the user through the AR device, as well as to provide an augmented real world field of view for display to the user through the AR device, where the one or more stress-inducing elements are hidden from the user in the augmented real world field of view viewable through the AR device. In particular, the number of stress-inducing elements to be hidden, location of the stress-inducing elements to be hidden, type of stress-inducing elements to be hidden, etc., can all be customized to the particular user based on the user's disorder and health condition, including the user's current stress level dynamically monitored via the sensor data. Note that these aspects can change over time, for instance, as the user makes improvements to overcoming the disorder. Examples of how the process can be used in one or more applications are described further below, by way of example.
