Apple Inc.

John L Blatz

Pallavika Ramaswamy

Ari Weinstein

Akshay Aggarwal

Radhika Bhargava

Kelvin Ting Pui So

Jay Moon

Jahshan A Bhatti

Adam A Sonnanstine

Joao Pedro Lacerda

Joseph E Meyer

Alexander D Palmer

Andrew William Malta

Daiwei Liu

Stephen Olivier Lemay

Cyrus Daniel Irani

Ieyuki Kawashima

Oluwatomiwa B Alabi

Kellie L Albert

Nahir A Khan

Systems and processes for operating an intelligent automated assistant are provided. In one example, a plurality of data items selected by a user are received, wherein a plurality of confidence values corresponding to the plurality of data items are identified. The plurality of data items is ordered. The first data item is displayed, and updated context information associated with the electronic device is received. An update to the plurality of confidence values is detected, wherein the updated plurality of confidence values includes a third confidence value associated with a third data item of the plurality of ordered data items. In accordance with a determination that the third confidence value is higher than a first confidence value of the first data item, an order of the plurality of ordered data items is modified, and the third data item of the plurality of ordered data items is displayed.

Providing relevant data items based on context

A device implementing a system to provide an application library for application discovery includes a processor configured to update an application library including ordered lists of installed applications grouped into a respective plurality of application categories. The updating may be based on an application usage history of a device. The processor is further configured to receive a first user input to open an application library user interface corresponding to the application library. The processor is further configured to display, in response to the first user input, a plurality of application launch interfaces, each of the plurality of application launch interfaces corresponding to a respective one of the ordered lists of installed applications grouped into the respective plurality of application categories within the application library user interface.

Application library and page hiding

Techniques are disclosed for predictive media streaming using microlocation. Microlocations of a mobile device can be determined by measuring one or more sensor values at one or more times, the one or more sensor values are determined from one or more signals emitted by a corresponding one or more signal sources. Streaming events can be stored at the mobile device. Each streaming event may include a destination device for playing media and a cluster location, the cluster location corresponding to sensor values that are spatially near each other. A selection of a media item is detected and one or more current sensor values are measured. A current cluster location can be identified using the one or more current sensor value. The current cluster location and the streaming events can identify a particular destination device for playing the selected media item.

Predictive routing based on microlocation

Systems and processes for accelerating task performance are provided. An example method includes, at an electronic device with a display, displaying a candidate shortcut affordance associated with a user activity, detecting a first set of inputs corresponding to a selection of the candidate shortcut affordance, in response to detecting the first set of inputs, displaying a first set of candidate task affordances, detecting a second set of inputs corresponding to a selection of a candidate task affordance associated with a first task, displaying a second set of candidate task affordances, detecting a third set of inputs corresponding to a selection of a candidate task affordance associated with a second task, and in response to detecting the second set of inputs and the third set of inputs, associating the first task and the second task with a task sequence for a voice shortcut corresponding to the user activity.

User activity shortcut suggestions

Systems and processes for accelerating task performance are provided. An example method includes, at an electronic device including a display and one or more input devices, displaying, on the display, a user interface including a suggestion affordance associated with a task, detecting, via the one or more input devices, a first user input corresponding to a selection of the suggestion affordance, in response to detecting the first user input: in accordance with a determination that the task is a task of a first type, performing the task, and in accordance with a determination that the task is a task of a second type different than the first type, displaying a confirmation interface including a confirmation affordance.

Accelerated task performance

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San Francisco, CA, United States of America

John L Blatz