Abstract: This relates to an intelligent automated assistant in a video communication session environment. An example method includes, during a video communication session between at least two user devices, and at a first user device: receiving a first user voice input; in accordance with a determination that the first user voice input represents a communal digital assistant request, transmitting a request to provide context information associated with the first user voice input to the first user device; receiving context information associated with the first user voice input; obtaining a first digital assistant response based at least on a portion of the context information received from the second user device and at least a portion of context information associated with the first user voice input that is stored on the first user device; providing the first digital assistant response to the second user device; and outputting the first digital assistant response.

Abstract: Embodiments provide a context-aware digital assistant at multiple user devices participating in a video communication session by using context information from a first user device to determine a digital assistant response at a second user device. In this manner, users participating in the video communication session may interact with the digital assistant during the video communication session as if the digital assistant is another participant in the video communication session. Embodiments further describe automatically determining candidate digital assistant tasks based on a shared transcription of user voice inputs received at user devices participating in a video communication session. In this manner, a digital assistant of a user device participating in a video communication session may proactively determine one or more tasks that a user of the user device may want the digital assistant to perform based on conversations held during the video communication session.

Abstract: Embodiments provide a context-aware digital assistant at multiple user devices participating in a video communication session by using context information from a first user device to determine a digital assistant response at a second user device. In this manner, users participating in the video communication session may interact with the digital assistant during the video communication session as if the digital assistant is another participant in the video communication session. Embodiments further describe automatically determining candidate digital assistant tasks based on a shared transcription of user voice inputs received at user devices participating in a video communication session. In this manner, a digital assistant of a user device participating in a video communication session may proactively determine one or more tasks that a user of the user device may want the digital assistant to perform based on conversations held during the video communication session.

Abstract: This relates to an intelligent automated assistant in a video communication session environment. An example method includes, during a video communication session between at least two user devices, and at a first user device: receiving a first user voice input; in accordance with a determination that the first user voice input represents a communal digital assistant request, transmitting a request to provide context information associated with the first user voice input to the first user device; receiving context information associated with the first user voice input; obtaining a first digital assistant response based at least on a portion of the context information received from the second user device and at least a portion of context information associated with the first user voice input that is stored on the first user device; providing the first digital assistant response to the second user device; and outputting the first digital assistant response.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. An example method includes receiving, from one or more external electronic devices, a plurality of speaker profiles for a plurality of users; receiving a natural language speech input; determining, based on comparing the natural language speech input to the plurality of speaker profiles: a first likelihood that the natural language speech input corresponds to a first user of the plurality of users; and a second likelihood that the natural language speech input corresponds to a second user of the plurality of users; determining whether the first likelihood and the second likelihood are within a first threshold; and in accordance with determining that the first likelihood and the second likelihood are not within the first threshold: providing a response to the natural language speech input, the response being personalized for the first user.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. An example method includes receiving, from one or more external electronic devices, a plurality of speaker profiles for a plurality of users; receiving a natural language speech input; determining, based on comparing the natural language speech input to the plurality of speaker profiles: a first likelihood that the natural language speech input corresponds to a first user of the plurality of users; and a second likelihood that the natural language speech input corresponds to a second user of the plurality of users; determining whether the first likelihood and the second likelihood are within a first threshold; and in accordance with determining that the first likelihood and the second likelihood are not within the first threshold: providing a response to the natural language speech input, the response being personalized for the first user.

Abstract: Methods and systems for providing a user-targeted report are provided. One method includes receiving an audio signal at a device, encoding a request for the report targeted to the requesting user. A set of incomplete tasks is identified, where tasks have a task-due timestamp and a reported status that indicates whether the task has been associated with a previous report. A set of upcoming tasks is identified from the incomplete tasks. A set of overdue tasks is identified from the incomplete tasks. From upcoming/overdue tasks a set of to-be-reported tasks is generated, via filtering criteria applied to the reported status of each task included in the upcoming/overdue tasks. The report includes a reminder for at least a portion of the tasks included in the set of to-be-reported tasks.

Abstract: This relates to an intelligent automated assistant in a video communication session environment. An example method includes, during a video communication session between at least two user devices, and at a first user device of the at least two user devices: receiving a first user input; obtaining a first digital assistant response based on the first user input; providing, to a second user device of the at least two user devices, the first digital assistant response and context information associated with the first user input; outputting the first digital assistant response; receiving a second digital assistant response and context information associated with a second user input, wherein the second user input is received at the second user device, and wherein the second digital assistant response is determined based on the second user input and the context information associated with the first user input; and outputting the second digital assistant response.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. An example method includes receiving, from one or more external electronic devices, a plurality of speaker profiles for a plurality of users; receiving a natural language speech input; determining, based on comparing the natural language speech input to the plurality of speaker profiles: a first likelihood that the natural language speech input corresponds to a first user of the plurality of users; and a second likelihood that the natural language speech input corresponds to a second user of the plurality of users; determining whether the first likelihood and the second likelihood are within a first threshold; and in accordance with determining that the first likelihood and the second likelihood are not within the first threshold: providing a response to the natural language speech input, the response being personalized for the first user.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. An example method includes receiving, from one or more external electronic devices, a plurality of speaker profiles for a plurality of users; receiving a natural language speech input; determining, based on comparing the natural language speech input to the plurality of speaker profiles: a first likelihood that the natural language speech input corresponds to a first user of the plurality of users; and a second likelihood that the natural language speech input corresponds to a second user of the plurality of users; determining whether the first likelihood and the second likelihood are within a first threshold; and in accordance with determining that the first likelihood and the second likelihood are not within the first threshold: providing a response to the natural language speech input, the response being personalized for the first user.