Einzeltreffer — DigiBib

In one implementation, a method of providing contextual computer-generated reality (CGR) digital assistant is performed at a device provided to deliver a CGR scene, the device including one or more processors, non-transitory memory, and one or more displays. The method includes obtaining image data characterizing a field of view captured by an image sensor. The method further includes identifying in the image data a contextual trigger for one of a plurality of contextual CGR digital assistants. The method additionally includes selecting a visual representation of the one of the plurality of contextual CGR digital assistants, where the visual representation is selected based on context and in response to identifying the contextual trigger. The method also includes presenting the CGR scene by displaying the visual representation of the one of the plurality of contextual CGR digital assistants, where the visual representation provides information associated with the contextual trigger.

Titel:	Contextual Computer-Generated Reality (CGR) Digital Assistants
Link:	View record in USPTO Patent Applications (Volltext)
Veröffentlichung:	2020
Medientyp:	Patent
Sonstiges:	Nachgewiesen in: USPTO Patent Applications Sprachen: English Document Number: 20200098188 Publication Date: March 26, 2020 Appl. No: 16/577310 Application Filed: September 20, 2019 Claim: 1. A method comprising: at a device including one or more processors, non-transitory memory, and one or more displays: obtaining image data characterizing a field of view captured using an image sensor; identifying in the image data a contextual trigger for one of a plurality of contextual computer-generated reality (CGR) digital assistants; in response to identifying the contextual trigger, selecting a visual representation of the one of the plurality of contextual CGR digital assistants based on context; and presenting a CGR scene by displaying the visual representation of the one of the plurality of contextual CGR digital assistants, wherein the visual representation provides information associated with the contextual trigger. Claim: 2. The method of claim 1, wherein obtaining the image data characterizing the field of view captured by the image sensor includes receiving the image data characterizing the field of view captured using the image sensor on a second device, distinct from the device. Claim: 3. The method of claim 1, wherein obtaining the image data characterizing the field of view captured using the image sensor includes obtaining the image data characterizing the field of view captured by the image sensor integrated into the device. Claim: 4. The method of claim 1, wherein the contextual trigger for the one of the plurality of contextual CGR digital assistants is identified in response to receiving an input from a user through an input device connected to or integrated into the device. Claim: 5. The method of claim 4, wherein: the input device includes a gaze sensor configured to detect eye gaze; and identifying in the image data the contextual trigger for the one of the plurality of contextual CGR digital assistants includes: detecting the eye gaze of the user proximate to an object in the field of view; and activating the contextual trigger associated with the object. Claim: 6. The method of claim 4, wherein: the input device includes an audio input device; and identifying in the image data the contextual trigger for the one of the plurality of contextual CGR digital assistants includes activating the contextual trigger according to input received using the audio input device. Claim: 7. The method of claim 4, wherein: the input device includes an inertial measurement unit (IMU) to obtain body poses of the user; and identifying in the image data the contextual trigger for the one of the plurality of contextual CGR digital assistants includes: deriving from the body poses positions of body portions of the user, wherein the positions of body portions indicate an interest in a subject in the image data; and activating the contextual trigger associated with the subject in the image data. Claim: 8. The method of claim 4, wherein: the input device includes one or more cameras associated with an HMD worn by the user to obtain the field of view associated with the user; and identifying in the image data the contextual trigger for the one of the plurality of contextual CGR digital assistants includes: generating pose information for the user based on the field of view; deriving from the pose information positions of body portions of the user, wherein the positions of body portions indicate an interest in a subject in the image data; and activating the contextual trigger associated with the subject in the image data. Claim: 9. The method of claim 1, wherein the visual representation of the one of the plurality of contextual CGR digital assistants has at least one contextual meaning. Claim: 10. The method of claim 1, wherein the context includes at least one of a calendar event associated with a user or a location of the device. Claim: 11. The method of claim 1, further comprising displaying on the one or more displays an animation of the visual representation of the one of the plurality of contextual CGR digital assistants providing the information to a user, including adjusting the animation according to the context. Claim: 12. The method of claim 11, further comprising: determining that the user has received the information; and ceasing to display at least one of the animation or the visual representation of the one of the plurality of contextual CGR digital assistants in the CGR scene. Claim: 13. The method of claim 1, further comprising providing audio output using a plurality of speakers, the audio output spatially corresponding to a location associated with the one of the plurality of contextual CGR digital assistants in the field of view. Claim: 14. The method of claim 1, wherein the device includes at least one of a head-mounted device, a mobile phone, a tablet, or a drone. Claim: 15. A device comprising: one or more displays; non-transitory memory; and one or more processors to: obtain image data characterizing a field of view captured by an image sensor; identify in the image data a contextual trigger for one of a plurality of contextual CGR digital assistants; in response to identifying the contextual trigger, select a visual representation of the one of the plurality of contextual CGR digital assistants; and presenting a CGR scene by displaying the visual representation of the one of the plurality of contextual CGR digital assistants, wherein the visual representation provides information associated with the contextual trigger. Claim: 16. The device of claim 15, wherein obtaining the image data characterizing the field of view captured by the image sensor includes receiving the image data characterizing the field of view captured using the image sensor on a second device, distinct from the device. Claim: 17. The device of claim 15, wherein obtaining the image data characterizing the field of view captured using the image sensor includes obtaining the image data characterizing the field of view captured by the image sensor integrated into the device. Claim: 18. A non-transitory memory storing one or more programs, which, when executed by one or more processors of a device with one or more displays, cause the device to perform operations comprising: obtaining image data characterizing a field of view captured by an image sensor; identifying in the image data a contextual trigger for one of a plurality of contextual CGR digital assistants; in response to identifying the contextual trigger, selecting a visual representation of the one of the plurality of contextual CGR digital assistants; and presenting a CGR scene by displaying the visual representation of the one of the plurality of contextual CGR digital assistants, wherein the visual representation provides information associated with the contextual trigger. Claim: 19. The non-transitory memory of claim 18, wherein obtaining the image data characterizing the field of view captured by the image sensor includes receiving the image data characterizing the field of view captured using the image sensor on a second device, distinct from the device. Claim: 20. The non-transitory memory of claim 18, wherein obtaining the image data characterizing the field of view captured using the image sensor includes obtaining the image data characterizing the field of view captured by the image sensor integrated into the device. Current International Class: 06; 06; 02

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Contextual Computer-Generated Reality (CGR) Digital Assistants