Abstract: Systems and methods to determine content for a narrative based on user input related to the narrative are disclosed. Exemplary implementations may: effectuate presentation of a narrative via client computing platforms associated with users; obtain, user inputs in relation to the active content; initiate a smart contract configured to receive the user inputs; initiate a smart contract configured to determine whether the user inputs include one or more of the trigger events; initiate a smart contract configured to determine the inactive content for presentation upon determination that one or more of the trigger events occurred; initiate a smart contract configured to transmit an indication to the one or more processors to effectuate presentation of the inactive content; and initiate a smart contract configured to generate and execute a set of instructions to record the reclassification and the active content on the decentralized ledger.

Abstract: Systems and methods to implement physical and/or behavioral attributes that define a personality entity associated with a digital asset via a physical object are disclosed.

Abstract: Systems and methods to generate a composite representation of a digital wallet based on digital assets indicated by the digital wallet are disclosed. Exemplary implementations may: determine a set of digital assets indicated as owned by digital wallets; determine, based on the set of digital assets, the correlated entities; analyze the correlated entities to determine a composite representation of the entities or adjustments to the composite representation; mint a composite digital asset correlated with the composite representation; and update, upon determination of the adjustments to the composite representation, the composite representation in accordance with the adjustments.

Abstract: A system includes a hardware processor and a memory storing software code. The hardware processor executes the software code to determine how many users are present at a location at a starting time of an NFT acquisition event, identify, based on how many users are present, a collaborative activity for the users, the collaborative activity requiring relinquishment of a plurality of NFTs, and communicate the collaborative activity to the users. The hardware processor further executes the software code to verify that the collaborative activity has been completed, and provide, in response to verifying, one or more new NFT(s) for distribution to at least one of the users, wherein (i) a value associated with the new NFT(s) exceeds a value of the NFTs relinquished, or (ii) a number of the NFTs relinquished exceeds a number of the new NFT(s).

Abstract: A system includes a hardware processor and a memory storing software code. The hardware processor executes the software code to receive a request from a user to link a non-fungible token (NFT) with a user account of the user, verify, in response to receiving the request, ownership of the NFT by the user, and link, in response to verifying, the NFT to the user account. The hardware processor is further configured to execute the software code to modify, based on at least one of the content viewing history of the user or a release date of a content available to the user, one or more attributes of the NFT.

Abstract: One aspect of this disclosure relates to presentation of a first effect on one or more presentation devices during an oral recitation of a first story. The first effect is associated with a first trigger point, first content, and/or first story. The first trigger point being one or more specific syllables from a word and/or phrase in the first story. A first transmission point associated with the first effect can be determined based on a latency of a presentation device and user speaking profile. The first transmission point being one or more specific syllables from a word and/or phrase before the first trigger point in the first story. Control signals for instructions to present the first content at the first trigger point are transmitted to the presentation device when a user recites the first transmission point such that first content is presented at the first trigger point.

Abstract: The systems and methods presented herein are related to providing narrative experiences for users of a virtual space. A machine learning based technique may be implemented for generating paths through the virtual space that present the narrative experiences. A path may be based on tagged points of interest, as illustrated in stored narrative information associated with the virtual space. A machine-learning training loop may be applied wherein the system may be trained to recognize and/or understand what sorts of virtual content within the virtual space may be considered to be of narrative interest to audience members.

Abstract: A user interface may be presented to a creator to facilitate the creation of narrative content. The user interface may be part of a system configured to generate recommendations pertaining to narrative content. The narrative content is meant to be experienced by users, e.g., in a virtual space. Feedback and/or other responses from the creator may be used to train and/or modify the generation of new recommendations. Feedback and/or other responses from the users may be used to train and/or modify the generation of new recommendations.

Abstract: One aspect of this disclosure relates to presentation of a first effect on one or more presentation devices during an oral recitation of a first story. The first effect is associated with a first trigger point, first content, and/or first story. The first trigger point being one or more specific syllables from a word and/or phrase in the first story. A first transmission point associated with the first effect can be determined based on a latency of a presentation device and user speaking profile. The first transmission point being one or more specific syllables from a word and/or phrase before the first trigger point in the first story. Control signals for instructions to present the first content at the first trigger point are transmitted to the presentation device when a user recites the first transmission point such that first content is presented at the first trigger point.

Abstract: One aspect of this disclosure relates to presentation of a first effect on one or more presentation devices during an oral recitation of a first story. The first effect is associated with a first trigger point, first content, and/or first story. The first trigger point being one or more specific syllables from a word and/or phrase in the first story. A first transmission point associated with the first effect can be determined based on a latency of a presentation device and user speaking profile. The first transmission point being one or more specific syllables from a word and/or phrase before the first trigger point in the first story. Control signals for instructions to present the first content at the first trigger point are transmitted to the presentation device when a user recites the first transmission point such that first content is presented at the first trigger point.

Abstract: The systems and methods presented herein are related to providing narrative experiences for users of a virtual space. A machine learning based technique may be implemented for generating paths through the virtual space that present the narrative experiences. A path may be based on tagged points of interest, as illustrated in stored narrative information associated with the virtual space. A machine-learning training loop may be applied wherein the system may be trained to recognize and/or understand what sorts of virtual content within the virtual space may be considered to be of narrative interest to audience members.

Abstract: One aspect of this disclosure relates to presentation of a first effect on one or more presentation devices during an oral recitation of a first story. The first effect is associated with a first trigger point, first content, and/or first story. The first trigger point being one or more specific syllables from a word and/or phrase in the first story. A first transmission point associated with the first effect can be determined based on a latency of a presentation device and user speaking profile. The first transmission point being one or more specific syllables from a word and/or phrase before the first trigger point in the first story. Control signals for instructions to present the first content at the first trigger point are transmitted to the presentation device when a user recites the first transmission point such that first content is presented at the first trigger point.

Abstract: The systems and methods presented herein are related to providing narrative experiences for users of a virtual space. A machine learning based technique may be implemented for generating paths through the virtual space that present the narrative experiences. A path may be based on tagged points of interest, as illustrated in stored narrative information associated with the virtual space. A machine-learning training loop may be applied wherein the system may be trained to recognize and/or understand what sorts of virtual content within the virtual space may be considered to be of narrative interest to audience members.

Abstract: A system for providing group performance using a set of client devices. The time frame of reference of individual client devices of the set of client devices can be synchronized to the host time frame of reference. The individual client devices may effectuate the presentation of the content of the group performance predetermined points in time with respect to the host time frame of reference. Audio and/or visual content of the content provided by the individual client devices is based on the real-world location of the individual client devices. The content provided can be monitored to check if the content is presented at the predetermined points in time. The content provided is adjusted such that the content is provided at the more predetermined points in time. The presentation of the content in a synchronized manner results in the group performance.

Abstract: A system for rendering a virtual environment includes a hardware processor, a memory, and a simulation generator software code stored in the memory. The hardware processor is configured to execute the simulation generator software code to receive a three-dimensional-representation (3D-representation) of a physical object, and to receive a two-dimensional-image (2D-image) of the physical object. The hardware processor is also configured to execute the simulation generator software code to compose a simulation of the virtual environment using the 3D-representation and the 2D-image, in which the 3D-representation of the physical object is situated between the 2D-image of the physical object and a predetermined viewpoint of the virtual environment. The hardware processor further executes the simulation generator software code to render the virtual environment such that the 2D-image of the physical object, but not the 3D-representation of the physical object, is visibly rendered.

Abstract: Systems and methods for rendering views of a virtual space are presented herein. In some implementations, the views of the virtual space may be provided in a set of layers. Individual layers may include certain virtual space content within the views. Operations of a system and/or method presented herein include one or more of obtaining pre-rendered views of virtual space content associated with one or more layers, rendering views of other virtual space content associated with one or more other layers in real-time, or near real-time, based on user input, and/or other operations.

Abstract: The systems and methods presented herein are related to providing narrative experiences for users of a virtual space. A machine learning based technique may be implemented for generating paths through the virtual space that present the narrative experiences. A path may be based on tagged points of interest, as illustrated in stored narrative information associated with the virtual space. A machine-learning training loop may be applied wherein the system may be trained to recognize and/or understand what sorts of virtual content within the virtual space may be considered to be of narrative interest to audience members.

Abstract: This disclosure relates to system and methods for providing users with augmented reality experiences based on a specific location of a user. An augmented reality experience may include augmented reality objects, and/or other content. Augmented reality objects may be associated with one or more real-world locations. Requests for augmented reality experience may include identifications of real-world locations of client computing devices, and/or other information. An instance of an augmented reality object may be overlaid onto visual information obtained from client computing devices. An interaction between users and/or users and one or more augmented reality objects may be facilitated.

Abstract: A system for rendering a virtual environment includes a hardware processor, a memory, and a simulation generator software code stored in the memory. The hardware processor is configured to execute the simulation generator software code to receive a three-dimensional-representation (3D-representation) of a physical object, and to receive a two-dimensional-image (2D-image) of the physical object. The hardware processor is also configured to execute the simulation generator software code to compose a simulation of the virtual environment using the 3D-representation and the 2D-image, in which the 3D-representation of the physical object is situated between the 2D-image of the physical object and a predetermined viewpoint of the virtual environment. The hardware processor further executes the simulation generator software code to render the virtual environment such that the 2D-image of the physical object, but not the 3D-representation of the physical object, is visibly rendered.

Abstract: A user interface may be presented to a creator to facilitate the creation of narrative content. The user interface may be part of a system configured to generate recommendations pertaining to narrative content. The narrative content is meant to be experienced by users, e.g., in a virtual space. Feedback and/or other responses from the creator may be used to train and/or modify the generation of new recommendations. Feedback and/or other responses from the users may be used to train and/or modify the generation of new recommendations.