Apple Patent | Generating Objectives For Objective-Effectuators In Synthesized Reality Settings

Patent: Generating Objectives For Objective-Effectuators In Synthesized Reality Settings

Publication Number: 20200364568

Publication Date: 20201119

Applicants: Apple

Abstract

In some implementations, a method includes instantiating an objective-effectuator into a synthesized reality setting. In some implementations, the objective-effectuator is characterized by a set of predefined objectives and a set of visual rendering attributes. In some implementations, the method includes obtaining contextual information characterizing the synthesized reality setting. In some implementations, the method includes generating an objective for the objective-effectuator based on a function of the set of predefined objectives and a set of predefined actions for the objective-effectuator. In some implementations, the method includes setting environmental conditions for the synthesized reality setting based on the objective for the objective-effectuator. In some implementations, the method includes establishing initial conditions and a current set of actions for the objective-effectuator based on the objective for the objective-effectuator. In some implementations, the method includes modifying the objective-effectuator based on the objective.

TECHNICAL FIELD

[0001] The present disclosure generally relates to generating objectives for objective-effectuators in synthesized reality settings.

BACKGROUND

[0002] Some devices are capable of generating and presenting synthesized reality settings. Some synthesized reality settings include virtual settings that are synthesized replacements of physical settings. Some synthesized reality settings include augmented settings that are modified versions of physical settings. Some devices that present synthesized reality settings include mobile communication devices such as smartphones, head-mountable displays (HMDs), eyeglasses, heads-up displays (HUDs), and optical projection systems. Most previously available devices that present synthesized reality settings are ineffective at presenting representations of certain objects. For example, some previously available devices that present synthesized reality settings are unsuitable for presenting representations of objects that are associated with an action.

BRIEF DESCRIPTION OF THE DRAWINGS

[0003] So that the present disclosure can be understood by those of ordinary skill in the art, a more detailed description may be had by reference to aspects of some illustrative implementations, some of which are shown in the accompanying drawings.

[0004] FIGS. 1A and 1B are diagrams of example operating environments in accordance with some implementations.

[0005] FIG. 2 is a block diagram of an example system in accordance with some implementations.

[0006] FIG. 3A is a block diagram of an example emergent content engine in accordance with some implementations.

[0007] FIG. 3B is a block diagram of an example neural network in accordance with some implementations.

[0008] FIGS. 4A-4E are flowchart representations of a method of generating content for synthesized reality settings in accordance with some implementations.

[0009] FIG. 5 is a block diagram of a server system enabled with various components of the emergent content engine in accordance with some implementations.

[0010] FIG. 6 is a diagram of a character being captured in accordance with some implementations.

[0011] In accordance with common practice the various features illustrated in the drawings may not be drawn to scale. Accordingly, the dimensions of the various features may be arbitrarily expanded or reduced for clarity. In addition, some of the drawings may not depict all of the components of a given system, method or device. Finally, like reference numerals may be used to denote like features throughout the specification and figures.

SUMMARY

[0012] Various implementations disclosed herein include devices, systems, and methods for generating content for synthesized reality settings. In various implementations, a device includes a non-transitory memory and one or more processors coupled with the non-transitory memory. In some implementations, a method includes instantiating an objective-effectuator into a synthesized reality setting. In some implementations, the objective-effectuator is characterized by a set of predefined objectives and a set of visual rendering attributes. In some implementations, the method includes obtaining contextual information characterizing the synthesized reality setting. In some implementations, the method includes generating an objective for the objective-effectuator based on a function of the set of predefined objectives, the contextual information, and a set of predefined actions for the objective-effectuator. In some implementations, the method includes setting environmental conditions for the synthesized reality setting based on the objective for the objective-effectuator. In some implementations, the method includes establishing initial conditions and a current set of actions for the objective-effectuator based on the objective for the objective-effectuator. In some implementations, the method includes modifying the objective-effectuator based on the objective.

[0013] In accordance with some implementations, a device includes one or more processors, a non-transitory memory, and one or more programs. In some implementations, the one or more programs are stored in the non-transitory memory and are executed by the one or more processors. In some implementations, the one or more programs include instructions for performing or causing performance of any of the methods described herein. In accordance with some implementations, a non-transitory computer readable storage medium has stored therein instructions that, when executed by one or more processors of a device, cause the device to perform or cause performance of any of the methods described herein. In accordance with some implementations, a device includes one or more processors, a non-transitory memory, and means for performing or causing performance of any of the methods described herein.

DESCRIPTION

[0014] Numerous details are described in order to provide a thorough understanding of the example implementations shown in the drawings. However, the drawings merely show some example aspects of the present disclosure and are therefore not to be considered limiting. Those of ordinary skill in the art will appreciate that other effective aspects and/or variants do not include all of the specific details described herein. Moreover, well-known systems, methods, components, devices and circuits have not been described in exhaustive detail so as not to obscure more pertinent aspects of the example implementations described herein.

[0015] A physical setting refers to a world that individuals can sense and/or with which individuals can interact without assistance of electronic systems. Physical settings (e.g., a physical forest) include physical elements (e.g., physical trees, physical structures, and physical animals). Individuals can directly interact with and/or sense the physical setting, such as through touch, sight, smell, hearing, and taste.

[0016] In contrast, a synthesized reality (SR) setting refers to an entirely or partly computer-created setting that individuals can sense and/or with which individuals can interact via an electronic system. In SR, a subset of an individual’s movements is monitored, and, responsive thereto, one or more attributes of one or more virtual objects in the SR setting is changed in a manner that conforms with one or more physical laws. For example, a SR system may detect an individual walking a few paces forward and, responsive thereto, adjust graphics and audio presented to the individual in a manner similar to how such scenery and sounds would change in a physical setting. Modifications to attribute(s) of virtual object(s) in a SR setting also may be made responsive to representations of movement (e.g., audio instructions).

[0017] An individual may interact with and/or sense a SR object using any one of his senses, including touch, smell, sight, taste, and sound. For example, an individual may interact with and/or sense aural objects that create a multi-dimensional (e.g., three dimensional) or spatial aural setting, and/or enable aural transparency. Multi-dimensional or spatial aural settings provide an individual with a perception of discrete aural sources in multi-dimensional space. Aural transparency selectively incorporates sounds from the physical setting, either with or without computer-created audio. In some SR settings, an individual may interact with and/or sense only aural objects.

[0018] One example of SR is virtual reality (VR). A VR setting refers to a simulated setting that is designed only to include computer-created sensory inputs for at least one of the senses. A VR setting includes multiple virtual objects with which an individual may interact and/or sense. An individual may interact and/or sense virtual objects in the VR setting through a simulation of a subset of the individual’s actions within the computer-created setting, and/or through a simulation of the individual or his presence within the computer-created setting.

[0019] Another example of SR is mixed reality (MR). A MR setting refers to a simulated setting that is designed to integrate computer-created sensory inputs (e.g., virtual objects) with sensory inputs from the physical setting, or a representation thereof. On a reality spectrum, a mixed reality setting is between, and does not include, a VR setting at one end and an entirely physical setting at the other end.

[0020] In some MR settings, computer-created sensory inputs may adapt to changes in sensory inputs from the physical setting. Also, some electronic systems for presenting MR settings may monitor orientation and/or location with respect to the physical setting to enable interaction between virtual objects and real objects (which are physical elements from the physical setting or representations thereof). For example, a system may monitor movements so that a virtual plant appears stationery with respect to a physical building.

[0021] One example of mixed reality is augmented reality (AR). An AR setting refers to a simulated setting in which at least one virtual object is superimposed over a physical setting, or a representation thereof. For example, an electronic system may have an opaque display and at least one imaging sensor for capturing images or video of the physical setting, which are representations of the physical setting. The system combines the images or video with virtual objects, and displays the combination on the opaque display. An individual, using the system, views the physical setting indirectly via the images or video of the physical setting, and observes the virtual objects superimposed over the physical setting. When a system uses image sensor(s) to capture images of the physical setting, and presents the AR setting on the opaque display using those images, the displayed images are called a video pass-through. Alternatively, an electronic system for displaying an AR setting may have a transparent or semi-transparent display through which an individual may view the physical setting directly. The system may display virtual objects on the transparent or semi-transparent display, so that an individual, using the system, observes the virtual objects superimposed over the physical setting. In another example, a system may comprise a projection system that projects virtual objects into the physical setting. The virtual objects may be projected, for example, on a physical surface or as a holograph, so that an individual, using the system, observes the virtual objects superimposed over the physical setting.

[0022] An augmented reality setting also may refer to a simulated setting in which a representation of a physical setting is altered by computer-created sensory information. For example, a portion of a representation of a physical setting may be graphically altered (e.g., enlarged), such that the altered portion may still be representative of but not a faithfully-reproduced version of the originally captured image(s). As another example, in providing video pass-through, a system may alter at least one of the sensor images to impose a particular viewpoint different than the viewpoint captured by the image sensor(s). As an additional example, a representation of a physical setting may be altered by graphically obscuring or excluding portions thereof.

[0023] Another example of mixed reality is augmented virtuality (AV). An AV setting refers to a simulated setting in which a computer-created or virtual setting incorporates at least one sensory input from the physical setting. The sensory input(s) from the physical setting may be representations of at least one characteristic of the physical setting. For example, a virtual object may assume a color of a physical element captured by imaging sensor(s). In another example, a virtual object may exhibit characteristics consistent with actual weather conditions in the physical setting, as identified via imaging, weather-related sensors, and/or online weather data. In yet another example, an augmented reality forest may have virtual trees and structures, but the animals may have features that are accurately reproduced from images taken of physical animals.

[0024] Many electronic systems enable an individual to interact with and/or sense various SR settings. One example includes head mounted systems. A head mounted system may have an opaque display and speaker(s). Alternatively, a head mounted system may be designed to receive an external display (e.g., a smartphone). The head mounted system may have imaging sensor(s) and/or microphones for taking images/video and/or capturing audio of the physical setting, respectively. A head mounted system also may have a transparent or semi-transparent display. The transparent or semi-transparent display may incorporate a substrate through which light representative of images is directed to an individual’s eyes. The display may incorporate LEDs, OLEDs, a digital light projector, a laser scanning light source, liquid crystal on silicon, or any combination of these technologies. The substrate through which the light is transmitted may be a light waveguide, optical combiner, optical reflector, holographic substrate, or any combination of these substrates. In one embodiment, the transparent or semi-transparent display may transition selectively between an opaque state and a transparent or semi-transparent state. In another example, the electronic system may be a projection-based system. A projection-based system may use retinal projection to project images onto an individual’s retina. Alternatively, a projection system also may project virtual objects into a physical setting (e.g., onto a physical surface or as a holograph). Other examples of SR systems include heads up displays, automotive windshields with the ability to display graphics, windows with the ability to display graphics, lenses with the ability to display graphics, headphones or earphones, speaker arrangements, input mechanisms (e.g., controllers having or not having haptic feedback), tablets, smartphones, and desktop or laptop computers.

[0025] The present disclosure provides methods, systems, and/or devices for generating content for synthesized reality settings. An emergent content engine generates objectives for objective-effectuators, and provides the objectives to corresponding objective-effectuator engines so that the objective-effectuator engines can generate actions that satisfy the objectives. The objectives generated by the emergent content engine indicate plots or story lines for which the objective-effectuator engines generate actions. Generating objectives enables presentation of dynamic objective-effectuators that perform actions as opposed to presenting static objective-effectuators, thereby enhancing the user experience and improving the functionality of the device presenting the synthesized reality setting.

[0026] FIG. 1A is a block diagram of an example operating environment 100 in accordance with some implementations. While pertinent features are shown, those of ordinary skill in the art will appreciate from the present disclosure that various other features have not been illustrated for the sake of brevity and so as not to obscure more pertinent aspects of the example implementations disclosed herein. To that end, as a non-limiting example, the operating environment 100 includes a controller 102 and an electronic device 103. In the example of FIG. 1A, the electronic device 103 is being held by a user 10. In some implementations, the electronic device 103 includes a smartphone, a tablet, a laptop, or the like.

[0027] As illustrated in FIG. 1A, the electronic device 103 presents a synthesized reality setting 106. In some implementations, the synthesized reality setting 106 is generated by the controller 102 and/or the electronic device 103. In some implementations, the synthesized reality setting 106 includes a virtual setting that is a synthesized replacement of a physical setting. In other words, in some implementations, the synthesized reality setting 106 is synthesized by the controller 102 and/or the electronic device 103. In such implementations, the synthesized reality setting 106 is different from the physical setting where the electronic device 103 is located. In some implementations, the synthesized reality setting 106 includes an augmented setting that is a modified version of a physical setting. For example, in some implementations, the controller 102 and/or the electronic device 103 modify (e.g., augment) the physical setting where the electronic device 103 is located in order to generate the synthesized reality setting 106. In some implementations, the controller 102 and/or the electronic device 103 generate the synthesized reality setting 106 by simulating a replica of the physical setting where the electronic device 103 is located. In some implementations, the controller 102 and/or the electronic device 103 generate the synthesized reality setting 106 by removing and/or adding items from the synthesized replica of the physical setting where the electronic device 103 is located.

[0028] In some implementations, the synthesized reality setting 106 includes various SR representations of objective-effectuators such as a boy action figure representation 108a, a girl action figure representation 108b, a robot representation 108c, and a drone representation 108d. In some implementations, the objective-effectuators represent characters from fictional materials such as movies, video games, comic, and novels. For example, the boy action figure representation 108a represents a boy action figure character from a fictional comic, and the girl action figure representation 108b represents a girl action figure character from a fictional video game. In some implementations, the synthesized reality setting 106 includes objective-effectuators that represent characters from different fictional materials (e.g., from different movies/games/comics/novels). In various implementations, the objective-effectuators represent things (e.g., tangible objects). For example, in some implementations, the objective-effectuators represent equipment (e.g., machinery such as planes, tanks, robots, cars, etc.). In the example of FIG. 1A, the robot representation 108c represents a robot and the drone representation 108d represents a drone. In some implementations, the objective-effectuators represent things (e.g., equipment) from fictional material. In some implementations, the objective-effectuators represent things from a physical setting, including things located inside and/or outside of the synthesized reality setting 106.

[0029] In various implementations, the objective-effectuators perform one or more actions. In some implementations, the objective-effectuators perform a sequence of actions. In some implementations, the controller 102 and/or the electronic device 103 determine the actions that the objective-effectuators are to perform. In some implementations, the actions of the objective-effectuators are within a degree of similarity to actions that the corresponding characters/things perform in the fictional material. In the example of FIG. 1A, the girl action figure representation 108b is performing the action of flying (e.g., because the corresponding girl action figure character is capable of flying). In the example of FIG. 1A, the drone representation 108d is performing the action of hovering (e.g., because drones in the real-world are capable of hovering). In some implementations, the controller 102 and/or the electronic device 103 obtain the actions for the objective-effectuators. For example, in some implementations, the controller 102 and/or the electronic device 103 receive the actions for the objective-effectuators from a remote server that determines (e.g., selects) the actions.

[0030] In various implementations, an objective-effectuator performs an action in order to satisfy (e.g., complete or achieve) an objective. In some implementations, an objective-effectuator is associated with a particular objective, and the objective-effectuator performs actions that improve the likelihood of satisfying that particular objective. In some implementations, SR representations of the objective-effectuators are referred to as object representations, for example, because the SR representations of the objective-effectuators represent various objects (e.g., real objects, or fictional objects). In some implementations, an objective-effectuator representing a character is referred to as a character objective-effectuator. In some implementations, a character objective-effectuator performs actions to effectuate a character objective. In some implementations, an objective-effectuator representing an equipment is referred to as an equipment objective-effectuator. In some implementations, an equipment objective-effectuator performs actions to effectuate an equipment objective. In some implementations, an objective effectuator representing an environment is referred to as an environmental objective-effectuator. In some implementations, an environmental objective effectuator performs environmental actions to effectuate an environmental objective.

[0031] In some implementations, the synthesized reality setting 106 is generated based on a user input from the user 10. For example, in some implementations, the electronic device 103 receives a user input indicating a terrain for the synthesized reality setting 106. In such implementations, the controller 102 and/or the electronic device 103 configure the synthesized reality setting 106 such that the synthesized reality setting 106 includes the terrain indicated via the user input. In some implementations, the user input indicates environmental conditions. In such implementations, the controller 102 and/or the electronic device 103 configure the synthesized reality setting 106 to have the environmental conditions indicated by the user input. In some implementations, the environmental conditions include one or more of temperature, humidity, pressure, visibility, ambient light level, ambient sound level, time of day (e.g., morning, afternoon, evening, or night), and precipitation (e.g., overcast, rain or snow).

[0032] In some implementations, the actions for the objective-effectuators are determined (e.g., generated) based on a user input from the user 10. For example, in some implementations, the electronic device 103 receives a user input indicating placement of the SR representations of the objective-effectuators. In such implementations, the controller 102 and/or the electronic device 103 position the SR representations of the objective-effectuators in accordance with the placement indicated by the user input. In some implementations, the user input indicates specific actions that the objective-effectuators are permitted to perform. In such implementations, the controller 102 and/or the electronic device 103 select the actions for the objective-effectuator from the specific actions indicated by the user input. In some implementations, the controller 102 and/or the electronic device 103 forgo actions that are not among the specific actions indicated by the user input.

[0033] FIG. 1B is a block diagram of an example operating environment 100a in accordance with some implementations. While pertinent features are shown, those of ordinary skill in the art will appreciate from the present disclosure that various other features have not been illustrated for the sake of brevity and so as not to obscure more pertinent aspects of the example implementations disclosed herein. To that end, as a non-limiting example, the operating environment 100a includes the controller 102 and a head-mountable device (HMD) 104. In the example of FIG. 1B, the HMD 104 is worn by the user 10. In various implementations, the HMD 104 operates in substantially the same manner as the electronic device 103 shown in FIG. 1A. In some implementations, the HMD 104 performs substantially the same operations as the electronic device 103 shown in FIG. 1A. In some implementations, the HMD 104 includes a head-mountable enclosure. In some implementations, the head-mountable enclosure is shaped to form a receptacle for receiving an electronic device with a display (e.g., the electronic device 103 shown in FIG. 1A). In some implementations, the HMD 104 includes an integrated display for presenting a synthesized reality experience to the user 10.

[0034] FIG. 2 is a block diagram of an example system 200 that generates objectives for various objective-effectuators in a synthesized reality setting. For example, the system 200 generates objectives for the boy action figure representation 108a, the girl action figure representation 108b, the robot representation 108c, and/or the drone representation 108d shown in FIG. 1A. In the example of FIG. 2, the system 200 includes a boy action figure character engine 208a, a girl action figure character engine 208b, a robot equipment engine 208c, and a drone equipment engine 208d that generate actions 210 for the boy action figure representation 108a, the girl action figure representation 108b, the robot representation 108c, and the drone representation 108d, respectively. In some implementations, the system 200 also includes an environmental engine 208e, an emergent content engine 250, and a display engine 260.

[0035] In various implementations, the emergent content engine 250 generates respective objectives 254 for objective-effectuators that are in the synthesized reality setting and/or for the environment of the synthesized reality setting. In the example of FIG. 2, the emergent content engine 250 generates boy action figure objectives 254a for the boy action figure representation 108a, girl action figure objectives 254b for the girl action figure representation 108b, robot objectives 254c for the robot representation 208c, drone objectives 254d for the drone representation 108d, and/or environmental objectives 254e (e.g., environmental conditions) for the environment of the synthesized reality setting 106. As illustrated in FIG. 2, the emergent content engine 250 provides the objectives 254 to corresponding character/equipment/environmental engines. In the example of FIG. 2, the emergent content engine 250 provides the boy action figure objectives 254a to the boy action figure character engine 208a, the girl action figure objectives 254b to the girl action figure character engine 208b, the robot objectives 254c to the robot equipment engine 208c, the drone objectives 254d to the drone equipment engine 208d, and the environmental objectives 254e to the environmental engine 208e.

[0036] In various implementations, the emergent content engine 250 generates the objectives 254 based on a function of possible objectives 252 (e.g., a set of predefined objectives), contextual information 258 characterizing the synthesized reality setting, and actions 210 provided by the character/equipment/environmental engines. For example, in some implementations, the emergent content engine 250 generates the objectives 254 by selecting the objectives 254 from the possible objectives 252 based on the contextual information 258 and/or the actions 210. In some implementations, the possible objectives 252 are stored in a datastore. In some implementations, the possible objectives 252 are obtained from corresponding fictional source material (e.g., by scraping video games, movies, novels, and/or comics). For example, in some implementations, the possible objectives 252 for the girl action figure representation 108b include saving lives, rescuing pets, fighting crime, etc.

[0037] In some implementations, the emergent content engine 250 generates the objectives 254 based on the actions 210 provided by the character/equipment/environmental engines. In some implementations, the emergent content engine 250 generates the objectives 254 such that, given the actions 210, a probability of completing the objectives 254 satisfies a threshold (e.g., the probability is greater than the threshold, for example, the probability is greater than 80%). In some implementations, the emergent content engine 250 generates objectives 254 that have a high likelihood of being completed with the actions 210.

[0038] In some implementations, the emergent content engine 250 ranks the possible objectives 252 based on the actions 210. In some implementations, a rank for a particular possible objective 252 indicates the likelihood of completing that particular possible objective 252 given the actions 210. In such implementations, the emergent content engine 250 generates the objective 254 by selecting the highest N ranking possible objectives 252, where N is a predefined integer (e.g., 1, 3, 5, 10, etc.).

[0039] In some implementations, the emergent content engine 250 establishes initial/end states 256 for the synthesized reality setting based on the objectives 254. In some implementations, the initial/end states 256 indicate placements (e.g., locations) of various character/equipment representations within the synthesized reality setting. In some implementations, the synthesized reality setting is associated with a time duration (e.g., a few seconds, minutes, hours, or days). For example, the synthesized reality setting is scheduled to last for the time duration. In such implementations, the initial/end states 256 indicate placements of various character/equipment representations at/towards the beginning and/or at/towards the end of the time duration. In some implementations, the initial/end states 256 indicate environmental conditions for the synthesized reality setting at/towards the beginning/end of the time duration associated with the synthesized reality setting.

[0040] In some implementations, the emergent content engine 250 provides the objectives 254 to the display engine 260 in addition to the character/equipment/environmental engines. In some implementations, the display engine 260 determines whether the actions 210 provided by the character/equipment/environmental engines are consistent with the objectives 254 provided by the emergent content engine 250. For example, the display engine 260 determines whether the actions 210 satisfy objectives 254. In other words, in some implementations, the display engine 260 determines whether the actions 210 improve the likelihood of completing/achieving the objectives 254. In some implementations, if the actions 210 satisfy the objectives 254, then the display engine 260 modifies the synthesized reality setting in accordance with the actions 210. In some implementations, if the actions 210 do not satisfy the objectives 254, then the display engine 260 forgoes modifying the synthesized reality setting in accordance with the actions 210.

[0041] FIG. 3A is a block diagram of an example emergent content engine 300 in accordance with some implementations. In some implementations, the emergent content engine 300 implements the emergent content engine 250 shown in FIG. 2. In various implementations, the emergent content engine 300 generates the objectives 254 for various objective-effectuators that are instantiated in a synthesized reality setting (e.g., character/equipment representations such as the boy action figure representation 108a, the girl action figure representation 108b, the robot representation 108c, and/or the drone representation 108d shown in FIG. 1A). In some implementations, at least some of the objectives 254 are for an environmental engine (e.g., the environmental engine 208e shown in FIG. 2) that affects an environment of the synthesized reality setting.

[0042] In various implementations, the emergent content engine 300 includes a neural network system 310 (“neural network 310”, hereinafter for the sake of brevity), a neural network training system 330 (“a training module 330”, hereinafter for the sake of brevity) that trains (e.g., configures) the neural network 310, and a scraper 350 that provides possible objectives 360 to the neural network 310. In various implementations, the neural network 310 generates the objectives 254 (e.g., the objectives 254a for the boy action figure representation 108a, the objectives 254b for the girl action figure representation 108b, the objectives 254c for the robot representation 108c, the objectives 254d for the drone representation 108d, and/or the environmental objectives 254e shown in FIG. 2).

[0043] In some implementations, the neural network 310 includes a long short-term memory (LSTM) recurrent neural network (RNN). In various implementations, the neural network 310 generates the objectives 254 based on a function of the possible objectives 360. For example, in some implementations, the neural network 310 generates the objectives 254 by selecting a portion of the possible objectives 360. In some implementations, the neural network 310 generates the objectives 254 such that the objectives 254 are within a degree of similarity to the possible objectives 360.

[0044] In various implementations, the neural network 310 generates the objectives 254 based on the contextual information 258 characterizing the synthesized reality setting. As illustrated in FIG. 3A, in some implementations, the contextual information 258 indicates instantiated equipment representations 340, instantiated character representations 342, user-specified scene/environment information 344, and/or actions 210 from objective-effectuator engines.

[0045] In some implementations, the neural network 310 generates the objectives 254 based on the instantiated equipment representations 340. In some implementations, the instantiated equipment representations 340 refer to equipment representations that are located in the synthesized reality setting. For example, referring to FIG. 1A, the instantiated equipment representations 340 include the robot representation 108c and the drone representation 108d in the synthesized reality setting 106. In some implementations, the objectives 254 include interacting with one or more of the instantiated equipment representations 340. For example, referring to FIG. 1A, in some implementations, one of the objectives 254a for the boy action figure representation 108a includes destroying the robot representation 108c, and one of the objectives 254b for the girl action figure representation 108b includes protecting the robot representation 108c.

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