Abstract: A method for providing audio and haptic feedback to guide object selection while using an extended-reality device is disclosed. The method includes while a user is wearing an extended-reality headset that is associated with an output device, in accordance with a determination that a focus selector for the artificial-reality headset is directed to a first object with first visual characteristics, providing first haptic feedback and first audio feedback corresponding to the first visual characteristics via the output device. The method further includes in accordance with a determination that the focus selector for the artificial-reality headset is directed to a second object with second visual characteristics, distinct from the first visual characteristics, providing second haptic feedback and second audio feedback, distinct from the first haptic feedback and the first audio feedback, corresponding to the second visual characteristics via the output device.

Abstract: In particular embodiments, a computing system may receive an image comprising one or more virtual elements associated with a virtual environment and one or more real-world elements associated with a real-world environment. The system may determine a first metric and a second metric indicative of a measure of clutter in the virtual environment and the real-world environment, respectively. The system may determine gaze features associated with a user based on a user activity and predict, using a machine learning model, a reaction time of the user based on the gaze features. The system may determine a third metric indicative of the measure of clutter in the image based on predicted reaction time. The system may compute an overall clutter metric based on the first, second, and third metrics. The system may perform one or more actions to manage the clutter in the image based on the overall clutter metric.