Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example process, a speech input is received from a user. In response to determining that the speech input corresponds to a user intent of obtaining information associated with a user experience of the user, one or more parameters referencing a user experience of the user are identified. Metadata associated with the referenced user experience is obtained from an experiential data structure. Based on the metadata, one or more media items associated with the referenced are retrieved based on the metadata. The one or more media items associated with the referenced user experience are output together.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example process, a speech input is received from a user. In response to determining that the speech input corresponds to a user intent of obtaining information associated with a user experience of the user, one or more parameters referencing a user experience of the user are identified. Metadata associated with the referenced user experience is obtained from an experiential data structure. Based on the metadata, one or more media items associated with the referenced are retrieved based on the metadata. The one or more media items associated with the referenced user experience are output together.

Abstract: An exemplary method of using a virtual assistant may include receiving an unstructured natural-language user request for a service from a virtual assistant; determining whether the user request corresponds to at least one of a plurality of plan templates accessible to the virtual assistant, based on the content of the user request and the content of the plan templates; in accordance with a determination that the user request corresponds to at least one of the plurality of plan templates, selecting one of the plurality of plan templates; and in accordance with a determination the user request fails to correspond to at least one of the plurality of plan templates, foregoing selection of a plan template; and in response to selection of one of the plan templates, beginning to respond to the user request according to the selected plan template.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example process, a speech input is received from a user. In response to determining that the speech input corresponds to a user intent of obtaining information associated with a user experience of the user, one or more parameters referencing a user experience of the user are identified. Metadata associated with the referenced user experience is obtained from an experiential data structure. Based on the metadata, one or more media items associated with the referenced are retrieved based on the metadata. The one or more media items associated with the referenced user experience are output together.

Abstract: In some implementations, a computing device may create a semantic mapping that includes identified features that appear in a particular percentage of assets in a subset of assets of a media library. Also, the computing device may analyze assets of the media library using the semantic mapping to generate semantic scores, which may be used to determine a first tier of assets from the media library that rate highest for semantic score out of all assets. The computing device may present at least one of the first tier assets prominently in a user interface when viewing assets of the media library.

Abstract: In some implementations, a computing device may create a semantic mapping that includes identified features that appear in a particular percentage of assets in a subset of assets of a media library. Also, the computing device may analyze assets of the media library using the semantic mapping to generate semantic scores, which may be used to determine a first tier of assets from the media library that rate highest for semantic score out of all assets. The computing device may present at least one of the first tier assets prominently in a user interface when viewing assets of the media library.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example process, a speech input is received from a user. In response to determining that the speech input corresponds to a user intent of obtaining information associated with a user experience of the user, one or more parameters referencing a user experience of the user are identified. Metadata associated with the referenced user experience is obtained from an experiential data structure. Based on the metadata, one or more media items associated with the referenced are retrieved based on the metadata. The one or more media items associated with the referenced user experience are output together.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example process, a speech input is received from a user. In response to determining that the speech input corresponds to a user intent of obtaining information associated with a user experience of the user, one or more parameters referencing a user experience of the user are identified. Metadata associated with the referenced user experience is obtained from an experiential data structure. Based on the metadata, one or more media items associated with the referenced are retrieved based on the metadata. The one or more media items associated with the referenced user experience are output together.

Abstract: An exemplary method of using a virtual assistant may include receiving an unstructured natural-language user request for a service from a virtual assistant; determining whether the user request corresponds to at least one of a plurality of plan templates accessible to the virtual assistant, based on the content of the user request and the content of the plan templates; in accordance with a determination that the user request corresponds to at least one of the plurality of plan templates, selecting one of the plurality of plan templates; and in accordance with a determination the user request fails to correspond to at least one of the plurality of plan templates, foregoing selection of a plan template; and in response to selection of one of the plan templates, beginning to respond to the user request according to the selected plan template.

Abstract: An exemplary method of using a virtual assistant may include receiving an unstructured natural-language user request for a service from a virtual assistant; determining whether the user request corresponds to at least one of a plurality of plan templates accessible to the virtual assistant, based on the content of the user request and the content of the plan templates; in accordance with a determination that the user request corresponds to at least one of the plurality of plan templates, selecting one of the plurality of plan templates; and in accordance with a determination the user request fails to correspond to at least one of the plurality of plan templates, foregoing selection of a plan template; and in response to selection of one of the plan templates, beginning to respond to the user request according to the selected plan template.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example process, a speech input is received from a user. In response to determining that the speech input corresponds to a user intent of obtaining information associated with a user experience of the user, one or more parameters referencing a user experience of the user are identified. Metadata associated with the referenced user experience is obtained from an experiential data structure. Based on the metadata, one or more media items associated with the referenced are retrieved based on the metadata. The one or more media items associated with the referenced user experience are output together.

Abstract: In some implementations, a computing device may create a semantic mapping that includes identified features that appear in a particular percentage of assets in a subset of assets of a media library. Also, the computing device may analyze assets of the media library using the semantic mapping to generate semantic scores, which may be used to determine a first tier of assets from the media library that rate highest for semantic score out of all assets. The computing device may present at least one of the first tier assets prominently in a user interface when viewing assets of the media library.

Abstract: A user controls an external electronic device with wireless ring device; the ring is disposed on one or more fingers of a hand of the user. The ring detects, via a touch-sensitive input device, an input. In response to detecting the input, in accordance with a determination that the input corresponds to a respective touch event of a plurality of touch events, the ring transmits, to the external electronic device, a command associated with the respective touch event, and generates, via the one or more tactile output generators, a first tactile output indicative of the transmission of the command.

Abstract: A user controls an external electronic device with wireless ring device; the ring is disposed on one or more fingers of a hand of the user, detects an input, and, in response: in accordance with a determination that a predefined hand gesture directed toward a first external electronic device was performed, using the ring device, prior to detecting the input, the ring device transmits instructions to change an output of the first external electronic device based on the input; and, in accordance with a determination that the predefined hand gesture directed toward a second external electronic device was performed, using the ring device, prior to detecting the input, the ring device transmits instructions to change an output of the second external electronic device based on the input.

Abstract: A user controls an external electronic device with wireless ring device; the ring is disposed on one or more fingers of a hand of the user, detects an input, and, in response: in accordance with a determination that a predefined hand gesture directed toward a first external electronic device was performed, using the ring device, prior to detecting the input, the ring device transmits instructions to change an output of the first external electronic device based on the input; and, in accordance with a determination that the predefined hand gesture directed toward a second external electronic device was performed, using the ring device, prior to detecting the input, the ring device transmits instructions to change an output of the second external electronic device based on the input.

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example process, a speech input is received from a user. In response to determining that the speech input corresponds to a user intent of obtaining information associated with a user experience of the user, one or more parameters referencing a user experience of the user are identified. Metadata associated with the referenced user experience is obtained from an experiential data structure. Based on the metadata, one or more media items associated with the referenced are retrieved based on the metadata. The one or more media items associated with the referenced user experience are output together.

Abstract: A user controls an external electronic device with a finger-ring-mounted touchscreen that includes a computer processor, wireless transceiver, and rechargeable power source; the ring is worn on a first finger receives an input from a second finger, selects one of a plurality of touch events associated with the input, and wirelessly transmits a command associated with the touch event to the external electronic device.

Abstract: An exemplary method of using a virtual assistant may include receiving an unstructured natural-language user request for a service from a virtual assistant; determining whether the user request corresponds to at least one of a plurality of plan templates accessible to the virtual assistant, based on the content of the user request and the content of the plan templates; in accordance with a determination that the user request corresponds to at least one of the plurality of plan templates, selecting one of the plurality of plan templates; and in accordance with a determination the user request fails to correspond to at least one of the plurality of plan templates, foregoing selection of a plan template; and in response to selection of one of the plan templates, beginning to respond to the user request according to the selected plan template.

Abstract: A non-transitory computer-readable storage medium stores one or more programs including instructions, which when executed by an electronic device of a user, cause the electronic device to generate at least one experiential data structure accessible to a virtual assistant; modify at least one experiential data structure with one or more annotations associated with the experiential data structure, utilizing the virtual assistant; store at least one experiential data structure; receive a natural-language user request for service from the virtual assistant, and output information responsive to the user request using at least one experiential data structure. The experiential data structure is a data structure that includes an organized set of data associated with at least one of the user and the electronic device at a particular point in time.

Abstract: A user controls an external electronic device with a finger-ring-mounted touchscreen that includes a computer processor, wireless transceiver, and rechargeable power source; the ring is worn on a first finger receives an input from a second finger, selects one of a plurality of touch events associated with the input, and wirelessly transmits a command associated with the touch event to the external electronic device.