According to some embodiments, a processor reads a force from a touch control. Hysteretic behavior is provided through at least three different actuation states and at least four different force threshold values, allowing user-friendly control of disparate actions through one touch interface with applications in volume control, photography, and user authentication. Other possibilities are shown and discussed.

According to some embodiments, a processor reads a force from a touch control. Hysteretic behavior is provided through at least three different actuation states and at least four different force threshold values, allowing user-friendly control of disparate actions through one touch interface with applications in volume control, photography, and user authentication. Other possibilities are shown and discussed.

Exercise-based watch faces and complications for use with a portable multifunction device are disclosed. The methods described herein for exercise-based watch faces and complications provide indications of time and affordances representing applications (e.g., a workout application or a weather application). In response to detecting a user input corresponding to a selection of the affordance (e.g., representing a workout application), a workout routine can optionally be begun. Further disclosed are non-transitory computer-readable storage media, systems, and devices configured to perform the methods described herein, as well as electronic devices related thereto.

Exercise-based watch faces and complications for use with a portable multifunction device are disclosed. The methods described herein for exercise-based watch faces and complications provide indications of time and affordances representing applications (e.g., a workout application or a weather application). In response to detecting a user input corresponding to a selection of the affordance (e.g., representing a workout application), a workout routine can optionally be begun. Further disclosed are non-transitory computer-readable storage media, systems, and devices configured to perform the methods described herein, as well as electronic devices related thereto.

A computing device can receive an interactive advertisement comprising a first content object and a second content object. The computing device can display the first content object corresponding to a collapsed version of the interactive advertisement. The computing device can receive a first action to activate the interactive advertisement. The computing device can provide for display, responsive to receiving the first action, a target object identifying a location on the display screen to which to move the first content object. The computing device can receive a second action to move the first content object towards the target object. The computing device can then provide for display, the second content object corresponding to an expanded version of the interactive ad on the display screen of the computing device.

A computing device can receive an interactive advertisement comprising a first content object and a second content object. The computing device can display the first content object corresponding to a collapsed version of the interactive advertisement. The computing device can receive a first action to activate the interactive advertisement. The computing device can provide for display, responsive to receiving the first action, a target object identifying a location on the display screen to which to move the first content object. The computing device can receive a second action to move the first content object towards the target object. The computing device can then provide for display, the second content object corresponding to an expanded version of the interactive ad on the display screen of the computing device.

In some embodiments, an electronic device can guide the user in setting up the device for the first time or after a factory reset. In some embodiments, an electronic device facilitates suggesting and installing applications on the electronic device during device setup. In some embodiments, an electronic device facilitates transferring settings and information from another electronic device during device setup.

A system for entering a secure Personal Identification Number (PIN) into a mobile computing device includes a mobile computing device and a peripheral device that are connected via a data communication link. The mobile computing device includes a mobile application and a display and the mobile application runs on the mobile computing device and displays a grid on the mobile computing device display. The peripheral device includes a display and an encryption engine, and the peripheral device display displays a grid corresponding to the grid displayed on the mobile computing device display. Positional inputs on the mobile computing device grid are sent to the peripheral device and the peripheral device decodes the positional inputs into PIN digits and generates an encrypted PIN and then sends the encrypted PIN back to the mobile computing device.

Systems and methods of the present disclosure enable context-aware haptic error notifications. The systems and methods include a processor to receive input segments into a software application from a character input component and determine a destination. A context identification model predicts a context classification of the input segments based at least in part on the software application and the destination. Potential errors are determined in the input segments based on the context classification. An error characterization machine learning model determines an error type classification and an error severity score associated with each potential error and a haptic feedback pattern is determined for each potential error based on the error type classification and the error severity score of each potential error of the one or more potential errors. And a haptic event latency is determined based on the error type classification and the error severity score of each potential error.

Systems and methods of the present disclosure enable context-aware haptic error notifications. The systems and methods include a processor to receive input segments into a software application from a character input component and determine a destination. A context identification model predicts a context classification of the input segments based at least in part on the software application and the destination. Potential errors are determined in the input segments based on the context classification. An error characterization machine learning model determines an error type classification and an error severity score associated with each potential error and a haptic feedback pattern is determined for each potential error based on the error type classification and the error severity score of each potential error of the one or more potential errors. And a haptic event latency is determined based on the error type classification and the error severity score of each potential error.