Abstract: The present disclosure generally relates to user interfaces and techniques for monitoring fitness activity. In accordance with some embodiments, user interfaces and techniques for transitioning between a user interface mode for measuring an activity metric to a user interface mode for measuring a different activity, based on detecting that a user characteristic has changed, are described. In accordance with some embodiments, user interfaces and techniques for measuring activity data and providing activity commentary in response to activity-based events, where different activity commentary is provided based on a characteristic of a user, are described.

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.