196 results about "Interactive content" patented technology

The invention discloses a unified streaming processing method, system and device for multi-modal AI interactive content, a medium and a program product, and the method comprises the steps: receiving a request which is sent by a user and comprises an image and a text, and constructing a request context; extracting image features; carrying out image analysis and outputting an image description text; performing intention recognition and outputting an intention; multi-stage reasoning is carried out, and thinking content fragments are generated in a streaming mode; buffering and releasing thinking content fragments; generating text content fragments based on multi-stage reasoning; buffering and releasing the text content fragments; performing recommendation triggering based on the image description text and the intention; recommending content fragments; inserting a recommended position, buffering and issuing; and process event management: issuing event notifications when the beginning, any step fails and the end. The method is a universal method capable of transmitting different types of outputs in a single ordered stream, the analysis cost can be reduced, and the interaction experience and expansibility are improved.

The invention relates to the technical field of artificial intelligence and education technology cross fusion, and particularly discloses a new media course intelligent learning resource generation system based on generative AI, and the system obtains the multi-dimensional state data of a learner through the means of eye movement tracking, electroencephalogram collection, interaction behavior analysis and the like, and constructs a high-dimensional state space through fusion; differential induction logic programming and a depth feature extraction network are cooperatively compressed into a low-dimensional semantic meta-state space, and the model interpretability and decision-making efficiency are improved; dynamic matching of personalized resource types and difficulty levels is realized based on a graph neural network and reinforcement learning; calling a multi-modal generation model to generate texts, videos or interactive contents as required, and introducing a cross-modal consistency verification mechanism to guarantee the output quality; the system also has an online adaptive optimization capability, combines a symbol rule recombination mechanism and a differential privacy protection strategy, and takes account of user privacy security while ensuring long-term stable operation of the system.

In an interactive media system, for example, in a video game or extended reality (XR) environment, interactive media event information may be received. An interactive media satisfaction value may be determined based on one or more interactive media events received. For example, the event may be scoring a point by the user. When the interactive media satisfaction value is determined to be high, supplemental content with more upbeat themes may be selected for display in the interactive media user interface, while supplemental content with more negative themes, or more comfort-oriented or escapist themes may be selected when the satisfaction value is low. A user engagement metric may also be determined and used for timing, locating, and selecting a mode for presenting the supplemental content.

Systems and methods are provided herein for creating interactive 3D content for XR devices using a single camera. This may be accomplished by receiving a first piece of content comprising a plurality of segments, wherein the first piece of content is recorded by a first camera. A system may identify a first object within a first segment of the first piece of content and compare the first object with a plurality of 3D models stored in a database. In response to determining that a first 3D model of the plurality of 3D models corresponds to the first object, the system then generates a second piece of content, by combining the first 3D model with the first piece of content. The system also generates an index associated with the second piece of content.

The invention provides a picture book reading interaction method and device, equipment, a storage medium and a program product. The method comprises the steps of obtaining reading data of a user in a picture book reading process; the reading data comprises picture book reading progress and user reading performance; based on the picture book reading progress and the user reading performance, interactive content is determined, and the interactive content is question content for initiating a question to the user or answer content for the question content asked by the user; the interactive content is displayed, the one-way output mode of a traditional picture book reading device for Chinese art is changed, the interactive context accuracy can be ensured according to the reading progress, the questioning strategy or the answering depth can be adjusted according to the reading performance of the user, anthropomorphic accompanying is achieved, the children reading interactivity and interestingness are remarkably improved, and the user experience is improved. The problems that an existing picture book reading device is rigid in interaction and cannot sense the psychological state of a user are effectively solved, and the reading interestingness and the educational guidance effectiveness are remarkably improved.

This application discloses a method and electronic device for providing product information. The method includes: receiving an AI interaction request and providing a user interface after receiving the AI ​​interaction request; determining the interaction scenario information corresponding to the current interaction request and the product category information corresponding to the interaction scenario information; generating first interactive content corresponding to the interaction scenario and category information based on a preset AI model and according to the interaction scenario information, category information, and preset brand image, and displaying the first interactive content in the user interface; receiving interactive information input by the user and determining the user's current emotional state information; generating second interactive content corresponding to the emotional state information and scene information and product information to be recommended based on the user's input interactive information and scenario information, and displaying the second interactive content and product information to be recommended. This method can improve the interactivity of product recommendations and meet the needs of scenario-based applications.

This application discloses a voice interaction processing method, apparatus, terminal, and server, relating to the field of Internet technology. The terminal can: convert user voice commands into text and transmit the text to a server; perform first-type intent recognition based on the text to obtain a first-type intent, and generate first interactive content based on the first-type intent; receive second interactive content sent from the cloud, the second interactive content being generated by the server based on a second-type intent, the second-type intent being obtained by the server through second-type intent recognition based on the text; and execute an interactive action based on at least one of the first and second interactive contents. This application can achieve a balance between reducing voice interaction latency, improving privacy protection, and supporting complex voice interactions during voice interaction.

The application provides a technical document automatic generation method, system, device and storage medium, the method comprises the following steps: analyzing a demand document through a feishu intelligent slice, and extracting complete content; an intelligent agent actively inquires a user to obtain an interface name, an application ID and an interactive picture link, triggers corresponding MCP to obtain interface data and interactive documents, and performs integrity check; in combination with demand, interface and interactive content, the intelligent agent inquires technical stack information, and generates a standardized technical document by using a prompt word engineering. Then, a double check mechanism is started: the intelligent agent can automatically correct the error, and the user is asked to confirm the ambiguous demand until the document is correct; finally, the feishu document generation MCP is triggered, the demand, interface, interaction and final document are integrated into a Markdown format, and a link is pushed to an AI programming tool for generating code. The application can realize full-process automatic conversion from a demand document to a technical document in a Web webpage development scene, and provide a standardized technical basis for an AI programming tool.

Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and / or dynamically provides an interactive content viewing and content discovery experience to users. The framework includes functionality for real-time video content analysis and interactive entity identification that, inter alia, provides novel capabilities to viewing users related to the extraction, analysis and subsequent interaction with content depicted within video frames during playback of such content. The framework implements artificial intelligence / machine learning (AI / ML) approaches for video processing, user interaction and information delivery through a series of interconnected processes and subsystems. In some implementations, rendered content can be parsed and mined for real-world and / or digital content depicted therein that relate to real-world entities and / or digital resources, whereby interaction with such entities is provided in the form of a provided interface, electronic message and / or recommendations for further information discovery, or some combination thereof.

This application relates to an interactive method, apparatus, computer device, computer-readable storage medium, and computer program product. The method includes: displaying a content display page containing target display content and associated interactive entry points; obtaining interactive material content and the target display content based on the associated interactive entry points; wherein the interactive material content is multimedia material content selected by interactive participants for participation in the interaction; generating associated interactive content based on the interactive material content and the target display content; and publishing comments on the target display content according to the associated interactive content. Using this method, the associated interactive content and the original target display content can be avoided from being disconnected, improving the relevance and interactive effect of the comment interaction.

This invention discloses a human-computer interaction method based on intelligent data analysis, belonging to the field of human-computer interaction technology. This invention collects user interaction actions on various interactive content, obtains multiple interaction records, constructs a user behavior dataset, adjusts the decay of interaction record data based on the regularity of the interaction content, and obtains the retention weight of interaction records based on the frequency of interaction actions, updating the user behavior dataset and the human-computer interaction model. The aim of this invention is to improve the efficiency of user interaction with the human-computer interaction model by updating the user behavior dataset and the human-computer interaction model, enabling the user behavior dataset to more accurately reflect user interaction preferences.

The invention discloses an interaction system, method and device based on intelligent equipment, equipment and a medium, and relates to the technical field of artificial intelligence. The method comprises the steps that through data communication between terminal equipment and intelligent equipment, the intelligent equipment automatically detects the action execution condition of a second object in a scene with an interaction requirement, and the intelligent equipment executes target interaction content only when the second object meets a state condition, so that the action execution process of the second object is prevented from being disturbed, and the interaction efficiency is improved. And the interaction success probability and the interaction effect are improved.

A computer-implemented method for providing a virtual mentor. The method includes training a mentor model based on input data and a selected training process to generate a trained mentor model. The input data includes information related to a real-life mentor. The method includes receiving one or more video inputs from a user computer, where the video inputs include a user performance. The method includes accessing a mentor specific curriculum for lesson progression; querying a knowledge database; and analyzing, using the trained mentor model, the user performance to detect one or more performance features. The method includes generating, using the trained mentor model, at least one response based on the one or more performance features, integrating media and interactive content, and generating a virtual mentor avatar configured to provide at least one feedback response to the user computer for display by the user computer.

The present disclosure relates to an interactive content display method, device, equipment, medium and product. The method comprises: in response to at least one continuous interaction operation implemented by a first account on a content display interface of target content, displaying a first effect corresponding to each continuous interaction operation; each displayed first effect comprises a virtual sticker associated with the corresponding continuous interaction operation; virtual sticker remaining information of the virtual sticker is displayed, the virtual sticker remaining information is used to prompt the remaining number of virtual stickers associated with the first account, and the remaining number decreases with the increase of the number of continuous interaction operations; the reduced virtual sticker is used to transfer to a second account associated with the target content. Through the technical solution of the present disclosure, the personalized expression needs of users on the target content can be met, and the visual effect of interactive feedback can be improved.

This invention relates to the field of content generation technology, and particularly to a method, apparatus, device, and storage medium for generating interactive content in museums. The method parses multimodal information to obtain scene recognition information, matches it with a spatial semantic map to obtain exhibit categories, dynamically updates interest preference vectors based on exhibit categories and acquired multimodal behavioral data to generate dynamic visitor profiles, generates multimodal guided tour content through association reasoning based on exhibit categories, and obtains a sharing index based on multimodal behavioral data and dynamic visitor profiles using a sharing willingness assessment model. If the index exceeds a sharing threshold, materials are selected to generate content to be shared. This method solves the problems of fragmented interactive experience and inefficient sharing generation in existing guided tour modes, reduces the manpower and content operation costs of museum guides, provides technical support for upgrading the museum visitor experience and efficiently disseminating culture, and is applicable to intelligent guided tours and interactive content generation in various cultural and museum venues.

A system for managing interactive communication includes user devices linked to users, member devices linked to members, an interactive user interface module coupled with the user devices, and a content management module coupled with the member devices. A communication module establishes network communication among the user devices, member devices, interactive user interface module, and content management module. Member devices are configured to pair with user devices. The content management module handles various interactive content types to be displayed by the interactive user interface module on user devices, either automatically or in response to user haptic interactions. Further, a method for managing communication is also provided.

The invention relates to the technical field of network live broadcast, in particular to an agricultural product personalized recommendation digital human live broadcast interaction system based on a large model, and the system comprises a configuration module which is used for configuring the image and voice of a digital human anchor and the initial behavior logic related to agricultural product recommendation according to a live broadcast marketing target; the interaction acquisition module is used for acquiring multi-modal user interaction content of a live broadcast room in real time, the multi-modal analysis module is used for analyzing the multi-modal user interaction content through a large model, and the personalized content generation module is used for generating personalized recommended voice texts and the like according to comprehensive interaction instructions. And the synchronous stream pushing module is used for carrying out time sequence alignment and synchronous rendering on the generated broadcast voice, facial expression and limb action sequence, and pushing a final audio and video stream to a live broadcast platform. According to the system, through deep customization and system integration in the field of agricultural products, the professionality and credibility of interaction are improved, the user experience is remarkably improved, and the transaction conversion rate is increased.

This invention relates to the field of virtual digital technology and discloses a digital anchor interaction method, device, electronic device, and storage medium. The method includes: acquiring audience interaction information and converting the interaction information into interaction events; adjusting the digital anchor's state based on the interaction events, historical interaction events in a pre-stored contextual memory bank, and the digital anchor's historical state; generating and outputting the digital anchor's interaction content and actions based on the adjusted digital anchor's state; and updating the pre-stored contextual memory bank with the interaction events, the adjusted digital anchor's state, the interaction content and actions, and audience feedback on the interaction content and actions. This invention can comprehensively capture various forms of audience interaction, providing a rich data foundation for subsequent interaction event conversion, thereby more accurately understanding audience intentions and emotions.

The invention discloses an AIGC-driven traditional cultural life education interaction system, which belongs to the field of cultural education and comprises a resource integration module, a situation creation module, a comprehensive evaluation module and a life criterion landing module. The resource integration module is used for collecting traditional cultural life education resources, performing intelligent processing on the resources through an AIGC technology, and constructing a structured digital resource library; the situation creation module generates immersive experience interaction content through AIGC based on the digital resource library, and realizes dynamic interaction between the learner and the traditional cultural life education content; by means of the AIGC technology, traditional cultural life education resources are converted into diversified forms such as 3D scenes, virtual interaction content and role playing games, a traditional single character and static teaching mode is replaced, the interestingness and immersion of learning are enhanced, cognitive lassitude is effectively relieved, and the intention of active participation of learners is stimulated.

Provided are a method, device, equipment and storage medium for interface interaction. The method includes: in a live interface, presenting interactive content to a first user, the first user being a live party corresponding to the live interface, the interactive content moving according to a preset direction in the live interface; presenting first prompt information in a first region in the live interface, the first prompt information indicating a suggestion for the first user, wherein a position of the first prompt information remains unchanged during movement of the interactive content; and in response to stopping presenting the first prompt information in the first region, presenting the interactive content using the first region. In this way, the efficiency of a user obtaining information can be improved.

1. Name of the product in this design: Companion Robot. 2. Purpose of this design: This design is for use in companion robots, enabling intelligent dialogue, touch interaction, content on-demand, and other interactive features. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the key design points: Design 1 3D view. 5. Design 1 is designated as the basic design.

This invention is directed to a tool that enables content creators to collect and analyze feedback on their content during production and live performances. During playback of content, users are enabled to provide detailed feedback and comments via various feedback interfaces on user devices. Users may indicate that they like and dislike certain aspects of the content, such as musical instruments featured in a song, at specific points in time. Feedback is timestamped, transformed into values, and aggregated for review and analysis. Using machine learning techniques, the present invention can identify trends in audience preferences and generate recommendations for tailoring content and content delivery. An interactive display enables the content creator to efficiently manipulate and make sense of collected feedback. With robust security features, the interactive content feedback system described herein may integrate with content streaming platforms as well as operate as an independent application.

The present disclosure relates to content display method, apparatus, device, and medium. The content display method comprises: displaying a first control in a target interactive interface; in response to a first trigger operation on the first control, determining a candidate content list, each candidate content in the candidate content list satisfying a preset screening condition; determining a first content list and a second content list based on the candidate content list according to content features of respective candidate contents and / or interactive contents corresponding to the respective candidate contents, wherein each first content in the first content list corresponds to a first type, and each second content in the second content list corresponds to a second type; and displaying the first content list and / or the second content list.

The present disclosure offers a novel way for integrating social media engagements as actionable game moves, significantly enhancing user interaction and providing real-time feedback within a gaming environment. By bridging the gap between social media and gaming, this integration creates a dynamic and engaging user experience that can adapt and scale across platforms and applications. This integration not only enriches the gaming experience but also opens new avenues for marketing, community building, and user retention. This integration positions the game as a forward-thinking platform that leverages modern social media trends to create immersive and interactive content.

A video livestreaming-based interaction method, apparatus, and computer-readable storage medium for managing viewer-initiated information promotion in livestreaming environments. The method receives information promotion requests from requesting viewer accounts associated with a livestreamer's video livestreaming room. These requests are displayed in the video livestreaming image for the livestreamer account. Upon receiving a promotion confirmation operation selecting a target request, corresponding target promotion information is displayed in the video livestreaming image and pushed to viewer accounts in the livestreaming room. This approach enables interactive content promotion where viewers can request information display while maintaining livestreamer control over what content is actually promoted to the audience.

The invention provides a global intelligent remote 5G joint sharing system and method. The system comprises a remote access and session management module which is configured to complete access, identity authentication and authority distribution of remote medical participants through a 5G network; the multi-modal data transmission and processing module performs multi-modal transmission, coding and decoding processing and synchronous management; the intelligent analysis and personalized content generation module is used for generating personalized interaction content and auxiliary prompt and risk early warning information; the cooperative arrangement and terminal control module is used for executing corresponding meeting control and control operation on the remote medical terminal; and data transmission and cooperative processing are carried out through the 5G access network and the edge computing node. Thus, in combination with 5G network characteristics and intelligent analysis capability of artificial intelligence, fusion processing can be performed on multi-modal medical data such as medical images, medical record data and vital sign monitoring data, and stable and efficient collaborative services are realized.

Disclosed are computerized systems and methods for a decision intelligence (Dl)-based framework that automatically and / or dynamically provides an interactive content viewing and content discovery experience to users. The framework includes functionality for real-time video content analysis and interactive entity identification that, inter alia, provides novel capabilities to viewing users related to the extraction, analysis and subsequent interaction with content depicted within video frames during playback of such content. The framework implements artificial intelligence / machine learning (AI / ML) approaches for video processing, user interaction and information delivery through a series of interconnected processes and subsystems. In some implementations, rendered content can be parsed and mined for real -world and / or digital content depicted therein that relate to real-world entities and / or digital resources, whereby interaction with such entities is provided in the form of a provided interface, electronic message and / or recommendations for further information discovery, or some combination thereof.

This document provides an information display method, apparatus, electronic device, storage medium, and program product. The method includes: displaying a first interface, the first interface including a first area and a second area, the first area for displaying interactive information of a virtual object, the interactive information including at least one of at least one interactive content and an interactive process, the second area for displaying operational data of the virtual object during interaction; and displaying the interactive information and the operational data in conjunction with the first interface. By utilizing the above technical solution, this document can improve the efficiency of confirming the interaction process of a virtual object.

Systems and methods for enabling users to pause interactive content, such as streamed exercise classes, and return to the classes without compromising their class performance statistics or metrics are described. For example, when a user decides to pause (e.g., they have to quickly handle something), they may have their rank removed from a leaderboard, with the leaderboard passing the ranking to the next user of the activity, while the user is still placed on the leaderboard according to an approximated position or ranking.