Amazon Technologies, Inc.

Mark Conrad Kockerbeck

Kevin Boehm

Jilani Zeribi

Rohit Sauhta

Muhammad Yahia

Ryan Summers

Volkan Aginlar

Song Chen

Jordan Michael Hughes

Ian Christopher Suttle

Srikanth Nori

Tina Ram Orooji

Robert Pulciani

John Botros

Allen Wang

Ryan Idrogo-Lam

Jordan Sinclair

Prashant Pawan Pisipati

John Peach

Aditi Srinivasan

Techniques for outputting interactive content and processing interactions with respect to the interactive content are described. While outputting requested content, a system may determine that interactive content is to be outputted. The system may determine output data including a first portion indicating that interactive content is going to be output and a second portion representing content corresponding to an item. The system may send the output data to the device. A user may interact with the output data, for example, by requesting performance of an action with respect to the item.

Interactive content output

Techniques for generating a personalization identifier that is usable by a skill to customize output of supplemental content to a user, without the skill being able to determine an identity of the user based on the personalization identifier, are described. A personalization identifier may be generated to be specific to a skill, such that different skills receive different personalization identifiers with respect to the same user. The personalization identifier may be generated by performing a one-way hash of a skill identifier, and a user profile identifier and/or a device identifier. User-perceived latency may be reduced by generating the personalization identifier at least partially in parallel to performing ASR processing and/or NLU processing.

Supplemental content output

The present disclosure describes techniques for dynamically determining when information is to be output to a user, as well as what information is to be output to a user. A natural language processing system may receive, from a first device, first data representing information to be output at a first point during a skill session. The natural language processing system may also receive, from a second device, second data representing a natural language input. The natural language processing system may determine a skill component is to execute with respect to the natural language input. The natural language processing system may send, to the skill component, second data representing the natural language input. The natural language processing system may receive, from the skill component, an indication that an ongoing first skill session with the second device has reached the first point. After receiving the indication and based at least in part on system usage data associated with at least one user, the natural language processing system may determine third data representing a prompt corresponding to the information and send, to the second device, the third data for output.

Contextual content for voice user interfaces

Systems and methods for application launch delays and notifications are disclosed. For example, a URL link to enable an application may be selected on a user device, and a user interface allowing the user to enable the application at a current time or at a future time may be displayed. When the user input indicates selection of the future time, a notification may be generated and provided to the user device and/or the voice interface device. The voice interface device may output the notification and, when user input indicates an intent to enable the application, the application may be enabled for use by the voice interface device.

Application launch delay and notification

Techniques for selecting a skill, to respond to a user input, using skill rankings are described. A skill's ranking may be determined in different manners. In one example, a skill's ranking may be determined based on a number of different users inputting commands that invoke the skill over a period of time. In another example, a skill's ranking may be determined based on a number of different devices that capture user inputs that invoke the skill over a period of time. A system may determine whether to automatically enable a skill (e.g., without user input received after the original user input), or ask the user whether the skill should be enabled, based on the skill's ranking. Moreover, a system may use a skill's ranking to determine whether to interact with a user, to enable the skill, using a graphical user interface or a voice user interface.

Skill enablement

Growing community of inventors

Irvine, CA, United States of America

Mark Conrad Kockerbeck