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System and method for ai-driven multi-modal content generation and immersive … — Qomplx Llc (US20250352907A1)

Qomplx Llc · Google Patents

Google Patents · Patents · License: Open Access

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jasoncrabtree qomplxllc

patent, google patents, intellectual property, US20250352907A1, Qomplx Llc, Jason Crabtree, en, 2025

ABSTRACT

Abstract

A system and method for creating complex, immersive, and interactive digital content is disclosed. The system integrates advanced artificial intelligence, multi-modal input processing, cloud-based shared environments, and immersive hardware to generate, optimize, and deliver rich interactive experiences. The platform supports content mashups, custom scenario generation, and adaptive AI behaviors, enabling the creation of unique and engaging digital environments across various media formats.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS

Priority is claimed in the application data sheet to the following patents or patent applications, each of which is expressly incorporated herein by reference in its entirety:

Ser. No. 18/754,140 Ser. No. 18/665,577

BACKGROUND OF THE INVENTION

Field of the Art

The present invention is in the field of artificial intelligence-driven content creation and management systems, and more particularly to a comprehensive platform that integrates multi-modal content generation, cross-media adaptation, dynamic asset creation, and interactive user experiences for individuals or groups.

Discussion of the State of the Art

The digital entertainment industry, particularly in the realms of video games, virtual reality experiences, and interactive media, has seen significant advancements in recent years. However, the creation of complex, interactive, and personalized content remains a substantial challenge due to the extensive resources required and the limitations of traditional development tools and processes. Current state-of-the-art systems in content generation for interactive media typically fall into several categories, each with its own strengths and limitations. Procedural Content Generation (PCG) systems use algorithms to create game content such as terrains, levels, or quests or to place specific assets or elements inside them (e.g. placement of a tree or of AI players or other game elements). While PCG has made strides in generating vast amounts of content quickly and reducing developer or artist staffing needs, it often struggles with creating deeply meaningful or context-aware content, resulting in more repetitive or shallower experiences. Artificial intelligence (AI)-assisted development tools have emerged to help with specific tasks like generating textures or suggesting game balance tweaks, but these tools are often siloed, lacking comprehensive, integrated solutions for content creation and lack dynamism to adapt to real-world player telemetry and experience or purchasing behavior post release.

Virtual reality development platforms provide tools for creating immersive experiences, but they typically require extensive manual design and programming, often lacking sophisticated AI integration for generating adaptive content or managing complex virtual worlds or world elements (e.g. tools, weapons or abilities inside games). Interactive storytelling systems have made advancements in generating branching narratives, but they often still struggle with creating truly dynamic narratives that deeply respond to nuanced player choices or generating coherent long-form content outside of major fixed elements. Cloud gaming platforms primarily focus on game distribution and remote play rather than leveraging cloud resources for advanced content generation or massive shared world simulations. Massive shared worlds for creative spaces like Minecraft are often lacking the dynamism and high fidelity content that players are expecting from games after playing Titanfall, Call of Duty or other well known titles (with much more narrow operating confines). Multiplayer game servers can handle large numbers of players but often struggle with creating truly persistent, evolving worlds or managing complex, AI-driven events on a massive scale.

These current systems face several limitations that hinder the creation of next-generation interactive experiences with more flexibility, personalization and scale. There's a notable lack of integration, with most existing tools focusing on specific aspects of content creation rather than providing a comprehensive, end-to-end solution. This fragmentation leads to inefficiencies in the development process and limits the potential for creating deeply interconnected and responsive virtual worlds. Assets and artifacts for game creation are often game engine platform specificâe.g. assets for PCG inside Unreal Engine are not available for Minecraftâor may be console specific (e.g. PlayStation vs Xbox vs PC). The AI capabilities of current systems are also often limited, employing relatively simple models that struggle with generating truly adaptive, context-aware content or creating believable, complex character behaviors and engagement. Notably, interacting with game characters (whether positively or negatively) often fails to adjust downstream narratives or create implications substantially-take for example rash or illegal behavior in Grand Theft Auto. Scalability is another significant issue, with many existing systems facing challenges in creating vast, detailed virtual worlds or handling massive numbers of simultaneous users in complex, interactive environments. Finally simulation based content augmentation and generation remains woefully lacking despite the incorporation of more advanced physics engines and other realism improvement initiatives growing in prevalence.

Furthermore, current content generation systems often fall short in creating truly personalized experiences that adapt deeply to individual user preferences, play styles, and choices or enable content envisioned by the user instead of a game developer or publisher. While virtual reality (VR) and augmented reality (AR) technologies have advanced, there remains a gap in creating fully immersive experiences that seamlessly integrate multiple sensory inputs and respond naturally to user actions. Existing tools often impose creative constraints, limiting developers and users to pre-defined assets or behaviors rather than allowing for open-ended, AI-assisted or AI-suggested creation and do not support user-defined objective functions for content outcomes (e.g. play time, player engagement, potential learnings-like Aesop's Fables, or other game artifacts (e.g. socializing with friends or kids across a given demographic and age range). Monetization and licensing challenges persist, with current platforms lacking sophisticated systems for managing complex licensing arrangements or fairly monetizing user-generated content in collaborative creation environments. Additionally, there's limited cross-media integration, with existing systems typically focusing on creating content for specific media types and lacking robust capabilities for translating content across different media formats, consoles or devices, or styles (e.g. single player or multiplayer-offline vs online).

Given these limitations, there is a clear need for a more advanced, integrated dynamic game development and publication platform that can leverage cutting-edge AI, cloud computing, and immersive technologies to streamline and enhance the content creation process and enable superior online and offline game play. Such a platform would need to address the challenges of generating diverse, adaptive, and deeply interactive content while providing tools for managing complex user generated or shared worlds, integrating various sensory and control inputs, and facilitating novel monetization and licensing models of entire products and components and experiences. The proposed complex content generation and publication and refinement platform aims to address these limitations and fill the gap in the current state of the art, offering a comprehensive solution for creating next-generation interactive digital experiences.

What is needed is an AI-driven dynamic multi-modal content generation, publication, refinement and immersive interaction platform.

SUMMARY OF THE INVENTION

Accordingly, the inventor has conceived and reduced to practice, a system and method for dynamically creating, publishing and refining complex, immersive, and interactive digital content on an ongoing basis. The system integrates advanced artificial intelligence, simulation modeling, multi-modal input processing, cloud-based shared environments, and immersive hardware (even multi-user hardware combinations or instrumented rooms/spaces) to generate, optimize, and deliver rich interactive experiences for individuals, groups or networks in both online and offline configurations. The platform supports licensed and user generated (and public domain) content mashups, custom scenario generation, and adaptive AI content or agents or behaviors, enabling the creation of unique and engaging digital environments across various media formats.

According to a preferred embodiment, a computing system for generating interactive digital content is disclosed, the computing system comprising: one or more hardware processors configured for: receiving a user input associated with desired digital content; analyzing the user input to determine content generation parameters; selecting one or more content generation modules based on the content generation parameters; generating digital content using the selected content generation modules; integrating the generated digital content into a virtual environment; enhancing the virtual environment with intelligent virtual entities; optimizing the digital content and virtual environment based on predefined criteria; interfacing with one or more user interaction devices; and outputting the interactive digital content.

According to another preferred embodiment, a method for generating interactive digital content, comprising the steps of: receiving a user input associated with desired digital content; analyzing the user input to determine content generation parameters; selecting one or more content generation modules based on the content generation parameters; generating digital content using the selected content generation modules; integrating the generated digital content into a virtual environment; enhancing the virtual environment with intelligent virtual entities; optimizing the digital content and virtual environment based on predefined criteria; interfacing with one or more user interaction devices; and outputting the interactive digital content.

According to an aspect of an embodiment, the one or more content generation modules comprise: transformer-based models for text generation; generative adversarial networks for image and texture creation; and reinforcement learning models for adaptive content generation.

According to an aspect of an embodiment, further comprising a multi-modal input processing module configured for: incorporating specialized input handlers for visual, audio, tactile, olfactory, and thermal inputs; and employing a unified data representation format for efficient fusion of multi-modal data.

According to an aspect of an embodiment, further comprising a cloud-based shared world server configured for: employing distributed databases and sharding techniques to maintain consistency across vast game worlds; and utilizing AI-driven optimization and predictive loading to anticipate user actions and preemptively allocate resources.

According to an aspect of an embodiment, the intelligent virtual entities comprise one or more adaptive AI agent; and wherein each adaptive AI agent comprise: personal history and memory systems for each AI agent, allowing for adaptive behavior based on past interactions; and goal-oriented action planning algorithms enhanced with neural networks for nuanced behavior.

According to an aspect of an embodiment, further comprising user AI planning and optimization tools configured for: providing a visual programming interface for creating complex AI behaviors without extensive coding knowledge; and incorporating machine learning models that improve over time based on user (or groups of users) interactions and feedback which may occur in real-time or periodic or aperiodic fashion (e.g., offline observability and game play data later synchronized).

According to an aspect of an embodiment, further comprising virtual reality, augmented reality, and brain-computer interface integration modules configured for: supporting various types of brain-computer interfaces; employing signal processing algorithms to translate neural activity into in-game actions; and including advanced rendering techniques optimized for low-latency, high-fidelity visual output.

According to an aspect of an embodiment, one or more rooms or facilities with instrumentation to identify local user locality, orientation, biological state, anatomical state, interaction or engagement tasks and activities with other users or robots or ai agents (e.g. holographic projection) with associated advanced motion, interaction, translation and engagement modeling to map combined physical and virtual entities to a game world for ongoing simulation modeling and for dynamic immersive shared experience curation.

According to an aspect of an embodiment, the one or more user interaction devices comprise: 360-degree treadmills; 6 degrees of freedom motion platforms; haptic suits; scent generators; and advanced motion tracking and translation algorithms to accurately map physical movements to virtual avatars.

According to an aspect of an embodiment, further comprising a content mashup and custom scenario generation module configured for: including âBook to worldâ and âBook to gameplayâ features for generating game environments and mechanics based on literary works; and employing AI-driven content analysis and integration engines to blend elements from different media types, genres, and intellectual properties.

According to an aspect of an embodiment, optimizing the digital content and virtual environment comprises: employing multi-objective optimization to balance competing goals in game design and content creation; and utilizing machine learning models that refine generation and evaluation strategies based on observed success and user preferences.

According to an aspect of an embodiment, further comprising a licensing and monetization framework configured for: utilizing database or blockchain technology and digital (optionally âsmartâ) contracts for automated rights management and revenue distribution; and including a comprehensive rights management database that catalogs all intellectual property assets, and associated legal rights and obligations, available on the platform.

According to an aspect of an embodiment, further comprising a media production integration module configured for: including a virtual camera system and tools for spatial audio mixing to facilitate the creation of traditional media content from interactive digital environments; and incorporating real-time rendering engines capable of producing broadcast-quality visual output.

BRIEF DESCRIPTION OF THE DRAWING FIGURES

FIG. 1 is a block diagram illustrating an exemplary system architecture for a platform for complex content generation, according to an embodiment.

FIG. 2 is a block diagram illustrating an exemplary embodiment of the complex content generation platform.

FIG. 3 is a block diagram illustrating an exemplary aspect of the complex content generation platform, a multi-modal input processing system.

FIG. 4 is a block diagram illustrating an exemplary aspect of the complex content generation platform, a data management and storage system.

FIG. 5 is a block diagram illustrating an exemplary aspect of the complex content generation platform, an AI content generation system.

FIG. 6 is a block

CROSS-REFERENCE TO RELATED APPLICATIONS

Priority is claimed in the application data sheet to the following patents or patent applications, each of which is expressly incorporated herein by reference in its entirety:

Ser. No. 18/754,140 Ser. No. 18/665,577

BACKGROUND OF THE INVENTION

Field of the Art

Discussion of the State of the Art

What is needed is an AI-driven dynamic multi-modal content generation, publication, refinement and immersive interaction platform.

SUMMARY OF THE INVENTION

BRIEF DESCRIPTION OF THE DRAWING FIGURES

FIG. 1 is a block diagram illustrating an exemplary system architecture for a platform for complex content generation, according to an embodiment.

FIG. 2 is a block diagram illustrating an exemplary embodiment of the complex content generation platform.

FIG. 3 is a block diagram illustrating an exemplary aspect of the complex content generation platform, a multi-modal input processing system.

FIG. 4 is a block diagram illustrating an exemplary aspect of the complex content generation platform, a data management and storage system.

FIG. 5 is a block diagram illustrating an exemplary aspect of the complex content generation platform, an AI content generation system.

FIG. 6 is a block diagram illustrating an exemplary aspect of the complex content generation platform, a licensing and monetization system.

FIG. 7 is a block diagram illustrating an exemplary aspect of the complex content generation platform, a media production integration system.

FIG. 8 is a block diagram illustrating an exemplary aspect of the complex content generation platform, a content mashup and custom scenario system.

FIG. 9 is a block diagram illustrating an exemplary aspect of the complex content generation platform, a combinatoric exploration and optimization system.

FIG. 10 is a block diagram illustrating an exemplary aspect of the complex content generation platform, a hardware integration system.

FIG. 11 is a block diagram illustrating an exemplary aspect of the complex content generation platform, a VR/AR integration system.

FIG. 12 is a block diagram illustrating an exemplary aspect of the complex content generation platform, a brain-computer interface system.

FIG. 13 is a block diagram illustrating an exemplary aspect of the complex content generation platform, a game engine.

FIG. 14 is a block diagram illustrating an exemplary aspect of the complex content generation platform, a physics engine.

FIG. 15 is a block diagram illustrating an exemplary aspect of the complex content generation platform, a shared server environment.

FIG. 16 is a block diagram illustrating an exemplary aspect of the complex content generation platform, an AI-enhanced local agent system.

FIG. 17 is a block diagram illustrating an exemplary aspect of the complex content generation platform, an AI planning and routines system.

FIG. 18 is a block diagram illustrating an exemplary system architecture for a platform for complex content generation configured to support persistent and expandable game worlds, according to an embodiment.

FIG. 19 is a block diagram illustrating an exemplary aspect of the complex content generation platform, a persistent game worlds system.

FIG. 20 is a block diagram illustrating an exemplary system architecture for a platform for complex content generation configured to support translation of works, according to an embodiment.

FIG. 21 is a block diagram illustrating an exemplary aspect of the complex content generation platform, a translation of works system.

FIG. 22 is a block diagram illustrating an exemplary system architecture for a platform for complex content generation configured to support interactive idea development, according to an embodiment.

FIG. 23 is a block diagram illustrating an exemplary aspect of the complex content generation platform, an interactive idea development system.

FIG. 24 is a block diagram illustrating an exemplary system architecture for a platform for complex content generation configured to support cozy gaming, according to an embodiment.

FIG. 25 is a block diagram illustrating an exemplary aspect of the complex content generation platform, a cozy gaming system.

FIG. 26 is a block diagram illustrating an exemplary system architecture for a platform for complex content generation configured to provide AI-driven game testing and dynamic balancing, according to an embodiment.

FIG. 27 is a block diagram illustrating an exemplary aspect of the complex content generation platform, a game testing and balancing system.

FIG. 28 is a block diagram illustrating an exemplary system architecture for a platform for complex content generation configured to provide mem based short-duration gaming, according to an embodiment.

FIG. 29 is a block diagram illustrating an exemplary aspect of the complex content generation platform, a meme based short-duration gaming system.

FIG. 30 is a flow diagram illustrating an exemplary method for generating complex content using the AI-driven platform, according to an embodiment.

FIG. 31 is a flow diagram illustrating an exemplary method for providing content mashup and custom scenario generation, according to an embodiment.

FIG. 32 is a flow diagram illustrating an exemplary method for providing and managing persistent game worlds, according to an embodiment.

FIG. 33 is a flow diagram illustrating an exemplary method for translating works, according to an embodiment.

FIG. 34 is a flow diagram illustrating an exemplary method for translating works, according to an embodiment.

FIG. 35 is a flow diagram illustrating an exemplary method for interactive idea development, according to an embodiment.

FIG. 36 is a flow diagram illustrating an exemplary method for providing a cozy gaming experience, according to an embodiment.

FIG. 37 is a flow diagram illustrating an exemplary method for AI-driven game testing and balancing, according to an embodiment.

FIG. 38 is a flow diagram illustrating an exemplary method for generating meme-based short-duration gaming and/or interactive experiences, according to an embodiment.

FIG. 39 illustrates an exemplary computing environment on which an embodiment described herein may be implemented.

DETAILED DESCRIPTION OF THE INVENTION

The inventor has conceived, and reduced to practice, a system and method for creating complex, immersive, and interactive digital content. The system integrates advanced artificial intelligence, multi-modal input processing, cloud-based shared environments, and immersive hardware to generate, optimize, and deliver rich interactive experiences. The platform supports content mashups, custom scenario generation, and adaptive AI behaviors, enabling the creation of unique and engaging digital environments across various media formats.

The complex content generation platform offers users a versatile and powerful toolset for a wide array of creative and analytical tasks across various domains. The platform enables users to generate, modify, and adapt content across multiple media formats, including text, images, audio, and video. This capability extends to creating books, scripts, marketing materials, and comprehensive multimedia projects. One of the platform's key strengths lies in its ability to translate works between different media, such as adapting a book into a movie script or a game into a novel, while preserving the essential elements of the original work. In the realm of game development, users can leverage the platform for rapid prototyping, development, and balancing, utilizing AI-driven testing and content generation for various game elements including narratives, characters, and environments.

Educators can harness the platform to create adaptive learning materials, interactive simulations, and personalized curricula that adjust to individual student needs and learning styles. The system's capabilities extend to the creation and management of persistent, evolving virtual environments suitable for gaming, social interaction, or professional collaboration. Content creators can develop adaptive stories or interactive experiences that change based on user preferences and behaviors, offering a new level of personalized entertainment. The platform's AI-driven testing capabilities provide developers with thorough evaluation tools for software, games, or other interactive content. Additionally, users can adapt content for different cultural contexts, ensuring that materials resonate with diverse global audiences.

The platform enhances collaborative processes by providing AI tools that assist in brainstorming, content refinement, and project management. It offers solutions for real-time content moderation in online communities or social media platforms. Marketers can create dynamic, personalized advertising content that adapts to current trends and individual user preferences. In the scientific community, researchers can use the platform to create complex simulations or visualizations of scientific concepts and data. The system also supports the generation and management of content for augmented and virtual reality experiences, from educational applications to individual and collective entertainment.

Furthermore, the platform can be utilized for automated journalism and report generation, allowing news organizations to generate initial drafts of articles based on data inputs or to create personalized news experiences. Technical writers can create adaptive, interactive documentation that adjusts based on user expertise and specific needs. The platform's blockchain capabilities enable efficient management of digital assets, rights, and collaborative projects. This comprehensive and adaptable system empowers users from various fields to harness the power of AI and advanced content generation techniques, streamlining creative processes, enabling rapid iteration, and producing sophisticated content that can adapt to user needs and current trends. Whether for entertainment, education, marketing, scientific visualization, or countless other applications, the complex content generation platform provides tools to create, adapt, and manage intricate, interactive, and personalized content across multiple media formats.

One or more different aspects may be described in the present application. Further, for one or more of the aspects described herein, numerous alternative arrangements may be described; it should be appreciated that these are presented for illustrative purposes only and are not limiting of the aspects contained herein or the claims presented herein in any way. One or more of the arrangements may be widely applicable to numerous aspects, as may be readily apparent from the disclosure. In general, arrangements are described in sufficient detail to enable those skilled in the art to practice one or more of the aspects, and it should be appreciated that other arrangements may be utilized and that structural, logical, software, electrical and other changes may be made without departing from the scope of the particular aspects. Particular features of one or more of the aspects described herein may be described with reference to one or more particular aspects or figures that form a part of the present disclosure, and in which are shown, by way of illustration, specific arrangements of one or more of the aspects. It should be appreciated, however, that such features are not limited to usage in the one or more particular aspects or figures with reference to which they are described. The present disclosure is neither a literal description of all arrangements of one or more of the aspects nor a listing of features of one or more of the aspects that must be present in all arrangements.

Headings of sections provided in this patent application and the title of this patent application are for convenience only, and are not to be taken as limiting the disclosure in any way.

Devices that are in communication with each other need not be in continuous communication with each other, unless expressly specified otherwise. In addition, devices that are in communication with each other may communicate directly or indirectly through one or more communication means or intermediaries, logical or physical.

A description of an aspect with several components in communication with each other does not imply that all such components are required. To the contrary, a variety of optional components may be described to illustrate a wide variety of possible aspects and in order to more fully illustrate one or more aspects. Similarly, although process steps, method steps, algorithms or the like may be described in a sequential order, such processes, methods and algorithms may generally be configured to work in alternate orders, unless specifically stated to the contrary. In other words, any sequence or order of steps that may be described in this patent application does not, in and of itself, indicate a requirement that the steps be performed in that order. The steps of described processes may be performed in any order practical. Further, some steps may be performed simultaneously despite being described or implied as occurring non-simultaneously (e.g., because one step is described after the other step). Moreover, the illustration of a process by its depiction in a drawing does not imply that the illustrated process is exclusive of other variations and modifications thereto, does not imply that the illustrated process or any of its steps are necessary to one or more of the aspects, and does not imply that the illustrated process is preferred. Also, steps are generally described once per aspect, but this does not mean they must occur once, or that they may only occur once each time a process, method, or algorithm is carried out or executed. Some steps may be omitted in some aspects or some occurrences, or some steps may be executed more than once in a given aspect or occurrence.

When a single device or article is described herein, it will be readily apparent that more than one device or article may be used in place of a single device or article. Similarly, where more than one device or article is described herein, it will be readily apparent that a single device or article may be used in place of the more than one device or article.

The functionality or the features of a device may be alternatively embodied by one or more other devices that are not explicitly described as having such functionality or features. Thus, other aspects need not include the device itself.

Techniques and mechanisms described or referenced herein will sometimes be described in singular form for clarity. However, it should be appreciated that particular aspects may include multiple iterations of a technique or multiple instantiations of a mechanism unless noted otherwise. Process descriptions or blocks in figures should be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps in the process. Alternate implementations are included within the scope of various aspects in which, for example, functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those having ordinary skill in the art.

Conceptual Architecture

FIG. 1 is a block diagram illustrating an exemplary system architecture for a platform for complex content generation, according to an embodiment. According to the embodiment, the system may be implemented as a cloud-based complex content generation platform 100 which may be accessible (e.g., via web-application, web page, and/or the like) by a plurality of users 150 , 160 over a suitable communication network 110 such as the Internet.

Platform 100 represents a system for complex content generation, designed to enhance the creation of interactive digital content and experiences, particularly in the realm of video games and immersive simulations. Platform 100 leverages state-of-the-art AI technologies to generate dynamic, adaptive content across multiple modalities, including text, visuals, audio, and even olfactory and haptic elements. This multi-modal integration creates truly immersive experiences that engage all senses. The platform's cloud-based shared world server enables massive, persistent online environments with real-time interactions among countless users, while sophisticated local AI agents create lifelike, adaptive NPCs and environmental elements that significantly enhance the depth and realism of these interactive experiences. Users are empowered with AI planning and optimization tools, allowing them to create and fine-tune complex AI behaviors and game mechanics without extensive coding knowledge. The platform pushes the boundaries of immersion by incorporating cutting-edge virtual and augmented reality technologies, as well as brain-computer interfaces, and it supports a wide range of immersive hardware, from 360-degree treadmills to haptic suits and scent generators. One of its most exciting features is the content mashup and custom scenario generation capability, which enables unique content creation by blending elements from various sources and generating tailored scenarios based on user inputs. This is complemented by a combinatoric exploration and optimization system that systematically explores vast possibility spaces to discover optimal or novel solutions in game design, narrative structures, and more. The platform may further comprise a robust licensing and monetization framework for managing intellectual property rights and monetizing content, as well as seamless media production integration that bridges the gap between interactive digital experiences and traditional media formats. Perhaps most notably, its âBook to Worldâ and âBook to Gameplayâ capabilities can automatically generate immersive game worlds or gameplay scenarios based on literary works. Through its innovative approach to content and experience creation, integration of advanced AI and immersive technologies, and ability to blend various media types and intellectual properties, this platform stands as a useful tool for the next generation of digital entertainment and interactive experiences.

The platform may comprise a multi-modal input system designed to be highly flexible and extensible, capable of processing a wide range of sensory inputs 130 (data or signals obtained from various sensors) to create a truly immersive experience. The platform utilizes a modular architecture with specialized input handlers for each type of sensory data (e.g., visual, audio, kinematic, tactile, olfactory, thermal, etc.). For visual inputs, the platform incorporates advanced computer vision algorithms to process and interpret both static images and real-time video streams. These algorithms can recognize objects, track motion, and even interpret facial expressions and body language. Audio inputs may be processed using sophisticated signal processing techniques, including speech recognition for voice commands, sound localization for 3D audio positioning, and acoustic analysis for environmental sound integration. For tactile inputs, the platform interfaces with various haptic devices, translating physical sensations into digital data. This can include, but is not limited to, pressure sensors, texture simulators, and force feedback devices. The system even accounts for more exotic inputs like olfactory data, using, for example, chemical sensors to detect and categorize scents, which can then be reproduced or used to trigger in-game events.

To seamlessly integrate these diverse inputs, various embodiments of platform 100 may be configured to employ a unified data representation format. This allows for efficient fusion of multi-modal data, enabling the system to create a coherent and rich sensory experience. For example, visual data of a fiery explosion could be combined with matching audio cues, haptic feedback simulating shockwaves, and even the release of a burning scent, all synchronized to create a multi-sensory event within the virtual environment. According to an aspect, the unified data representation format can support efficient fusion of multi-modal data linked to overall experience progressions and system-user system states across one or more users.

The platform's ability to interface with a wide range of external hardware 140 is one of its key features, enabling truly immersive and interactive experiences.

Immersive motion systems are an example of external hardware 140 that can be integrated into the platform. This includes 360-degree omnidirectional treadmills that allow users to walk or run in any direction while remaining stationary in the real world. For instance, the Virtuix Omni or the Cyberith Virtualizer could be integrated, translating the user's physical movement into in-game locomotion. Similarly, 6DOF motion platforms, like those used in advanced flight simulators, could be interfaced to provide full-body motion feedback for vehicular simulations or to enhance the sense of movement in virtual environments.

Haptic feedback devices make up another potential hardware category. This could range from haptic gloves like the HaptX Gloves DK2, which provide detailed touch sensations to individual fingers, to full-body haptic suits such as the Teslasuit. These devices could transmit a wide range of tactile sensations, from the texture of virtual objects to environmental effects like rain or wind, greatly enhancing the sense of presence in virtual worlds.

Advanced display systems may also be integrated. This could include high-resolution head-mounted displays (HMDs) for VR, such as the Valve Index or Pimax 8K X, as well as AR glasses like the Microsoft HoloLens 2 or Magic Leap 2. For even more immersive experiences, the platform may interface with CAVE (Cave Automatic Virtual Environment) systems, which project images on multiple walls of a room-sized cube.

Biometric sensors may also be integrated. This might include eye-tracking devices like those from Tobii, which could be used for foveated rendering and intuitive UI interactions. Electroencephalography (EEG) headsets, such as those from Emotiv, could be integrated to allow for basic brain-computer interface capabilities, potentially enabling users to control aspects of the virtual environment with their thoughts or to have the environment respond to their emotional state.

Spatial audio systems may be integrated with platform 100 for creating convincing 3D soundscapes. This may involve integration with advanced speaker systems like those from Sonos or specialized spatial audio headphones. The platform can also interface with hardware for real-time audio processing and spatialization, such as the Waves Nx head tracker.

For more unique sensory inputs, the platform might integrate with olfactory devices like the OVR Technology ION, which can release scents to match virtual environments. Similarly, temperature control devices like the TEGway ThermoReal could be used to simulate heat and cold sensations.

Motion capture systems, ranging from high-end solutions like OptiTrack to more consumer-friendly options like the Azure Kinect DK, could be integrated for full-body tracking and performance capture. This would allow for more natural avatars in virtual spaces and could be used by content creators for character animation.

The platform can even interface with custom, specialized hardware. For example, a museum might develop a unique tangible interface that allows visitors to interact with virtual artifacts, or a training facility might create custom replicas of equipment that interface with the platform for highly specific simulations.

The key to the platform's success with hardware integration is its flexible, standardized API that allows for easy addition of new devices. This can enable the platform to evolve with technology, incorporating new hardware innovations as they emerge and providing users with ever more immersive and interactive experiences. Interfacing with external hardware 140 such as 360-degree treadmills and 6 DOF (Degrees of Freedom) motion platforms may comprise implementing a sophisticated hardware abstraction layer. This layer provides the standardized API that can communicate with a wide range of devices, translating their specific protocols into a common language understood by the platform. For a 360-degree treadmill, the system would continuously track the user's walking or running motion, translating it into corresponding movement within the virtual environment. This requires precise speed and directional data processing, as well as predictive algorithms to reduce latency and provide smooth motion. Similarly, for 6 DOF platforms, the system processes complex motion data across all six degrees of freedom (forward/back, up/down, left/right, pitch, yaw, and roll). This data is then used to adjust the user's perspective and position within the virtual world, creating a highly immersive experience where physical movements are accurately reflected in the digital space.

According to an embodiment, the platform's interaction with external services 120 is managed through a robust set of integration APIs and middleware components. For advertisement systems, the platform may implement a flexible ad insertion framework. This allows for dynamic placement of ads within the virtual environment, whether they're billboard-style static ads, interactive product placements, or even fully immersive branded experiences. The ad system can interface with major ad networks, supporting real-time bidding and targeted ad delivery based on user data and in-game context.

Interaction with external game servers is facilitated through a sophisticated networking layer. This layer supports various protocols (TCP, UDP, WebSocket) and can handle different networking models (client-server, peer-to-peer, hybrid). It may comprise features like state synchronization, lag compensation, and predictive modeling to ensure smooth multiplayer experiences even in high-latency situations. The platform can also integrate with cloud gaming services, allowing for server-side rendering and streaming of game content to thin clients.

For integration with external game engines, the platform provides a powerful abstraction layer in some embodiments. This layer defines a common interface for core engine functionalities such as rendering, physics simulation, and asset management. It allows the platform to leverage the strengths of different game engines while maintaining a consistent API for developers. This can enable scenarios where different parts of a virtual world are powered by different engines, seamlessly blended into a cohesive experience.

Furthermore, the platform may further comprise a comprehensive telemetry and analytics system. This system collects and processes data from all aspects of the platform; from user interactions and performance metrics to hardware utilization and service integrations. This data can be used for continuous optimization, feeding into AI-driven systems for content generation, user experience personalization, and predictive maintenance of hardware components.

Platform 100 serves as a central hub, orchestrating a complex ecosystem of inputs, hardware, and services to create a rich, responsive, and deeply immersive digital experience. Its modular and extensible design allows it to adapt to new technologies and use cases, making it a forward-looking solution for the next generation of interactive digital experiences.

It is imagined that complex content generation platform 100 would attract a diverse range of users, each with unique needs and objectives. Two broad exemplary user categories may comprise âcreative usersâ or âcontent creatorsâ 150 and enterprise users 160 . âCreative usersâ or âcontent creatorsâ form a core user group for the platform, comprising individuals, small teams, and independent developers who utilize the system's AI and multi-modal capabilities to bring their imaginative visions to life. Users can provide various inputs based on the use case and implementation of the platform. For example, a solo game designer might use the platform to generate a sprawling, procedurally created world for an ambitious open-world RPG, complete with AI-driven NPCs and dynamically generated quests. A small team of filmmakers could leverage the system to produce an interactive, branching narrative film where viewer choices influence the story's direction, with the AI assisting in generating alternative scenes and dialogue. An AR artist might use the platform to create location-based experiences that blend AI-generated elements with real-world environments, crafting unique, immersive installations. These creative users are driven by their artistic and innovative aspirations, using the platform as a powerful tool to push the boundaries of interactive media and storytelling. They benefit from the platform's intuitive interfaces, AI-assisted content generation, and the ability to seamlessly integrate various sensory inputs to create rich, multi-modal experiences. The term âcreative userâ or âcontent creatorâ reflects the active, generative role these users play in the platform's ecosystem, distinguishing them from passive consumers.

Enterprise users 160 , on the other hand, may approach the platform from a more commercial perspective. An advertising agency, for example, might use the platform to create immersive, interactive ad experiences that seamlessly integrate with user-generated content, providing a new revenue stream for creators and a novel engagement channel for brands.

An enterprise user 160 could be a major entertainment conglomerate that owns a vast library of intellectual property (IP) spanning multiple franchises, characters, and story universes. This company could leverage the platform in several ways to monetize and expand their IP. For instance, they might use the platform's AI-driven content generation capabilities to create expansive, interactive experiences based on their popular movie franchises. The company could input their proprietary character designs, world-building elements, and narrative structures into the platform, allowing it to generate new, canon-compliant stories and gameplay scenarios.

This enterprise user could then license these AI-generated expansions to game developers, creating a steady stream of fresh content for fans without the need for extensive in-house development. They might also use the platform to create personalized, interactive storytelling experiences for a streaming service, where viewers can explore different plot lines or character perspectives within their favorite universes. The company could utilize the platform's advanced analytics to gain insights into user preferences and engagement patterns, informing future content creation and marketing strategies.

Furthermore, this entertainment conglomerate could use the platform's licensing and monetization modules to manage the use of their IP across user-generated content. They could set up automated systems that allow creative users to incorporate elements from their franchises into their own projects, with appropriate revenue sharing and brand control measures in place. This could open up new revenue streams while fostering a vibrant community of fan-created content.

The enterprise user might also leverage the platform's multi-modal capabilities to create innovative marketing campaigns and brand experiences. For example, they could develop AR-enhanced theme park attractions that blend physical environments with AI-generated, personalized digital overlays, creating unique experiences for each visitor based on their favorite characters or storylines.

In this way, the entertainment conglomerate as an enterprise user would be utilizing the platform not just as a content creation tool, but as a comprehensive system for IP management, content distribution, fan engagement, and data-driven decision making. This example illustrates how enterprise users 160 can leverage the platform's capabilities to innovate their business models, expand their content ecosystems, and create new forms of engagement with their audience.

CLAIMS

Claims ( 24 )

What is claimed is:

1 . A computing system for generating interactive digital content, the computing system comprising:

one or more hardware processors configured for:

receiving a user input associated with desired digital content;

analyzing the user input to determine content generation parameters;

selecting one or more content generation modules based on the content generation parameters;

generating digital content using the selected content generation modules;

integrating the generated digital content into a virtual environment;

enhancing the virtual environment with intelligent virtual entities;

optimizing the digital content and virtual environment based on predefined criteria;

interfacing with one or more user interaction devices; and

outputting the interactive digital content.

2 . The computing system of claim 1 , wherein the one or more content generation modules comprise:

transformer-based models for text or narrative generation; generative adversarial networks for image and texture creation; and reinforcement learning models for adaptive content generation, refinement, and game play balancing.

3 . The computing system of claim 1 , further comprising a multi-modal input processing module configured for:

incorporating specialized input handlers for visual, audio, kinematic, tactile, olfactory, and thermal inputs; and employing a unified data representation format for efficient fusion of multi-modal data linked to overall experience progressions and system-user states across one or more users.

4 . The computing system of claim 1 , further comprising a cloud-based shared world server configured for:

employing distributed databases and sharding techniques to maintain consistency across vast game worlds; and utilizing AI-driven optimization and predictive loading to anticipate user actions and preemptively allocate resources.

5 . The computing system of claim 1 , wherein the intelligent virtual entities comprise one or more adaptive AI agent; and

wherein each adaptive AI agent comprise:

personal history and memory systems for each AI agent, allowing for adaptive behavior based on past interactions; and

goal-oriented action planning algorithms enhanced with neural networks for nuanced behavior.

6 . The computing system of claim 1 , further comprising user AI planning and optimization tools configured for:

providing a visual programming interface for creating complex AI behaviors without extensive coding knowledge; and incorporating machine learning models that improve over time based on user or groups of users' interactions and feedback which may occur in real-time, periodic, or aperiodic fashion.

7 . The computing system of claim 1 , further comprising virtual reality, augmented reality, and brain-computer interface integration modules configured for:

supporting various types of brain-computer interfaces; employing signal processing algorithms to translate neural activity into in-game actions; and including advanced rendering techniques optimized for low-latency, high-fidelity visual output.

8 . The computing system of claim 1 , wherein the one or more user interaction devices comprise:

360-degree treadmills; 6 degrees of freedom motion platforms; haptic suits; scent generators; and advanced motion tracking and translation algorithms to accurately map physical movements to virtual avatars.

9 . The computing system of claim 1 , further comprising a content mashup and custom scenario generation module configured for:

including âBook to worldâ and âBook to gameplayâ features for generating game environments and mechanics based on literary works; and employing AI-driven content analysis and integration engines to blend elements from different media types, genres, and intellectual properties.

10 . The computing system of claim 1 , wherein optimizing the digital content and virtual environment comprises:

employing multi-objective optimization to balance competing goals in game design and content creation; and utilizing machine learning models that refine generation and evaluation strategies based on observed success and user preferences.

11 . The computing system of claim 1 , further comprising a licensing and monetization framework configured for:

utilizing database or blockchain technology and digital contracts for automated rights management and revenue distribution; and including a comprehensive rights management database that catalogs all intellectual property assets, and associated legal rights and obligations, available on the platform.

12 . The computing system of claim 1 , further comprising a media production integration module configured for:

including a virtual camera system and tools for spatial audio mixing to facilitate the creation of traditional media content from interactive digital environments; and incorporating real-time rendering engines capable of producing broadcast-quality visual output from more limited sensor telemetry or transmitted data.

13 . A method for generating interactive digital content, comprising the steps of:

receiving a user input associated with desired digital content; analyzing the user input to determine content generation parameters; selecting one or more content generation modules based on the content generation parameters; generating digital content using the selected content generation modules; integrating the generated digital content into a virtual environment; enhancing the virtual environment with intelligent virtual entities; optimizing the digital content and virtual environment based on predefined criteria; interfacing with one or more user interaction devices; and outputting the interactive digital content.

14 . The method of claim 13 , wherein the one or more content generation modules comprise:

15 . The method of claim 13 , further comprising a multi-modal input processing module configured for:

16 . The method of claim 13 , further comprising a cloud-based shared world server configured for:

17 . The method of claim 13 , wherein the intelligent virtual entities comprise one or more adaptive AI agent; and

wherein each adaptive AI agent comprise: personal history and memory systems for each AI agent, allowing for adaptive behavior based on past interactions; and goal-oriented action planning algorithms enhanced with neural networks for nuanced behavior.

18 . The method of claim 13 , further comprising user AI planning and optimization tools configured for:

19 . The method of claim 13 , further comprising virtual reality, augmented reality, and brain-computer interface integration modules configured for:

20 . The method of claim 13 , wherein the one or more user interaction devices comprise:

21 . The method of claim 13 , further comprising a content mashup and custom scenario generation module configured for:

generating game environments and mechanics based on literary works; and employing AI-driven content analysis and integration engines to blend elements from different media types, genres, and intellectual properties.

22 . The method of claim 13 , wherein optimizing the digital content and virtual environment comprises:

23 . The method of claim 13 , further comprising a licensing and monetization framework configured for:

24 . The method of claim 13 , further comprising a media production integration module configured for:

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System and method for ai-driven multi-modal content generation and immersive interaction experiences

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Ai-enhanced simulation and modeling experimentation and control

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