Abstract: In some implementations, a computing system can provide personal performance feedback relative to a workout community during a workout. For example, while performing a workout, a wearable device worn by a user can provide user activity data describing the user's activity during the workout to a playback device that is presenting the workout. The playback device can obtain community statistics describing the performance of a community of users who have previously completed the workout. The playback device can present information comparing the user's performance during the workout to the community's past performance during the workout.

Abstract: In some implementations, a computing system can be configured for presenting privacy preserving personalized workout recommendations. In some implementations, a workout application of system 100 can generate workout recommendations based on workouts previously performed by a user within the workout application and/or external to the workout application. For example, a user can participate in an internal workout presented by the workout application or an external workout performed without the aid of the workout application and detected by one or more sensors of a user device carried by the user during the external workout. The various attributes of the workouts can be stored as historical workout data and used by the workout application to recommend to the user workouts available through the workout application, or corresponding workout service. The workout recommendations can be generated on the user device to preserve the privacy of the user's personal health information.

Abstract: In some implementations, a computing device can be configured for users (e.g., user devices) that are detected nearby the computing device. For example, the computing device may be a communal device configured for a single user but generally used by multiple users. The communal device can discover when a known (e.g., authorized, trusted, etc.) user device is near the communal device and obtain personalization data from the nearby user device. The communal device can configure the communal device based on the personalization data to personalize an activity hosted by the communal device for the user of the nearby user device. To protect the user's personalization data, the communal device can delete the user's personalization data when the activity hosted by the communal device is terminated.