175 results about "Virtual agent" patented technology

Described is a speech recognition dialog management system that allows more open-ended conversations between virtual agents and people than are possible using just agent-directed dialogs. The system uses both novel dialog context switching and learning algorithms based on spoken interactions with people. The context switching is performed through processing multiple dialog goals in a last-in-first-out (LIFO) pattern. The recognition accuracy for these new flexible conversations is improved through automated learning from processing errors and addition of new grammars.

A client hypervisor comprises a virtual agent that runs outside of a system OS and that allows device management independent of the OS and user. The virtual agent is tied to a device and not a specific instance of the OS. Such client hypervisors expose new functionality to ease managing systems. Some of these capabilities come from the persistence and privileges outside the OS. In some embodiments of the invention, this new management functionality is exposed to allow device management via new virtualization concepts, such as multiple VMs per system, VM replacement, snapshot / rollback, etc.

A system and method of controlling the movement of a virtual agent while the agent is speaking to a human user during a conversation is disclosed. The method comprises receiving speech data to be spoken by the virtual agent, performing a prosodic analysis of the speech data, selecting matching prosody patterns from a speaking database and controlling the virtual agent movement according to the selected prosody patterns.

Techniques are disclosed for implementing real-time chat systems including virtual agents as chat participants, and more specifically, to the use of a virtual agent proxy in a real-time chat service. Certain techniques are disclosed that allow for seamless chat transitions between virtual agents and live agents. A chat server may include a virtual agent (VA) proxy module. The VA proxy module intercepts messages received at the chat server from end users, forwards them to virtual agents, and posts responses from the virtual agents back to be displayed to the corresponding end users. The VA proxy module thereby loosely couples virtual agents to the chat server, allowing the virtual agents to participate in chats just as live agents do. The chat server may determine that chat escalations and de-escalations are to occur, and can provide a full transcript of the chat to new chat participants.

In one embodiment, an Internet eco system includes a data posting platform securely accessible over the Internet to post personal, confidential and business data for conducting informational and transactional transactions for compensation. In another embodiment, the Internet eco system enables data providers to earn monetary compensation, system credits compensation or barter based compensation. In another embodiment, the Internet eco system enables data posting based upon freeform, system forms, keywords, mathematical logic, constraints, policies, facts, rules, workflow, or context logic; such data can be searched and retrieved based upon keywords, mathematical logic, constraints, policies, facts, rules, workflow, or context based search criteria. In yet another embodiment, the Internet eco system provides methods for authentication, authorization, accounting, data indexing, data classification, heuristics, activity metering, fraud detection and prevention, user identification, verification and dispute resolution, providing feedback, payments and systems credit settlement, providing virtual agent capabilities and third party interfacing capabilities and for providing interfaces to search logic. In yet another embodiment of the Internet eco system provides methods for data providers and data consumers to engage in and to consummate social networking based transactions.

An interactive virtual agent (avatar) system includes a plurality of databases configured to store at least one of client specific information and non-client specific information, internal resources configured to provide access to information sources, the character interface configured to receive information from a user, and respond to the user with information based on the received information, a processing engine coupled with the client knowledge database, the basic knowledge database, the internal resources, and the character interface.

The present teaching relates to method, system, and medium for a context sensitive virtual agent. When information related to a dialog is received, the current context of the dialog is detected based on the information related to the dialog. In accordance with the detected current context of the dialog, the present teaching switches, with respect to a plurality of resources, to context-relevant resource needed to facilitate the dialog. An action to be taken in the dialog is then determined based on the current context of the dialog and the context-relevant resource.

A customer communication is responded to by receiving an utterance from the customer at an agent that executes on a data processing system. The agent uses a knowledge base that includes information extracted from one or more exemplary conversations to generate a response to the received utterance. The agent then sends the generated response to the customer.

A system for executing actions based on user input is provided. The system comprises a virtual agent for a software application, wherein the virtual agent is configured to store a correlation between actions available in the software application. Further, the system associates one or more of the actions with one or more tags. The system receives at least an audio input from a user of the software application, and uses the input to identify an action desired by the user to be performed among the actions. Further, the system executes one or more actions based on the desired action and the correlation between the actions available in the software application.

An interactive virtual agent (avatar) system includes a plurality of databases configured to store at least one of client specific information and non-client specific information, internal resources configured to provide access to information sources, the character interface configured to receive information from a user, and respond to the user with information based on the received information, a processing engine coupled with the client knowledge database, the basic knowledge database, the internal resources, and the character interface.

The present teaching relates to developing a virtual agent. In one example, a plurality of graphical objects is presented to a user via a bot design programming interface. Each of the plurality of graphical objects represents a module corresponding to an action to be performed by the virtual agent. One or more inputs from the user are received, via the bot design programming interface, for selecting a set of graphical objects from the plurality of graphical objects. The one or more inputs provide information of a first order of the set of graphical objects. A plurality of modules represented by the set of graphical objects is identified. Based on the one or more inputs, a second order of the plurality of modules is determined based on the first order. The plurality of modules is integrated in the second order to generate a customized virtual agent for executing an associated task according to the second order.

A system and a method for automatically collecting content, the method comprising the steps of: defining a plurality of content sites, creating a collection of virtual agents data including user characteristic data and user behavioral data, presenting the collection of virtual agents to the plurality of content sites; receiving content from the visited internet site; and storing the received content or presenting it to a user.

An approach is provided for providing a virtual call center by receiving a request for service from a user (e.g., subscriber) and staffing the virtual call center with virtual agents selected based on the service requirements of the user and the rich presence information of the virtual agents. The rich presence information includes a skill set of the virtual agent, presence status of the virtual agent, location of the virtual agent, calendar information of the virtual agent, communication capability of the virtual agent, mobility of the virtual agent, or a combination thereof.

A system and method of controlling the movement of a virtual agent while the agent is listening to a human user during a conversation is disclosed. The method comprises receiving speech data from the user, performing a prosodic analysis of the speech data and controlling the virtual agent movement according to the prosodic analysis.

A speech dialog management system where each dialog is capable of supporting one or more turns of conversation between a user and virtual agent using any one or combination of a communications interface and data interface. The system includes a computer and a computer readable medium, operatively coupled to the computer, that stores scripts and dialog information. Each script determines the recognition, response, and flow control in a dialog while an application running on the computer delivers a result to any one or combination of the communications interface and data interface based on the dialog information and user input.

Systems and methods for automatically generating at least one of facial expressions, body gestures, vocal expressions, or verbal expressions for a virtual agent based on emotion, mood and / or personality of a user and / or the virtual agent are provided. Systems and method for determining a user's emotion, mood and / or personality are also provided.

An approach is provided for virtual agent session monitoring and barge-in. A platform monitors content of a communication session between a virtual agent and a user and determines whether the content satisfies a pre-defined rule. Further, the platform selectively initiates a barge-in of the communication session by a live agent based on the determination.

The present teaching relates to method system, and medium for generating knowledge for a chat bot. Training data are used to learn and generating knowledge and are received with at least some labeled training seeds and unlabeled conversation data. The training data are parsed and various linguistic elements are extracted therefrom. Such linguistic elements are then used to perform automated learning in accordance with at least one label used in labeling the training seeds. Based on the automated learning, at least one model associated with the at least one label is generated from the training data.

Techniques are disclosed for implementing real-time chat systems including virtual agents as chat participants, and more specifically, to the use of a virtual agent proxy in a real-time chat service. Certain techniques are disclosed that allow for seamless chat transitions between virtual agents and live agents. A chat server may include a virtual agent (VA) proxy module. The VA proxy module intercepts messages received at the chat server from end users, forwards them to virtual agents, and posts responses from the virtual agents back to be displayed to the corresponding end users. The VA proxy module thereby loosely couples virtual agents to the chat server, allowing the virtual agents to participate in chats just as live agents do. The chat server may determine that chat escalations and de-escalations are to occur, and can provide a full transcript of the chat to new chat participants.

The invention discloses an image texture tactile representation system based on force / haptic interaction equipment for virtual reality human-computer interaction, which is characterized in that when the virtual proxy of the force / haptic interaction equipment slides on a texture surface of a virtual object in a virtual environment, the surface height of the object texture corresponding to the contact point and a coefficient of kinetic friction for reflecting the rough degree of the contact point are firstly obtained on the basis of an image processing method, a continuous normal contact force model reflecting the concave-convex degree of the contact point and a tangential friction model reflecting the rough degree of the contact point are respectively established, and finally the texture contact force is fed back to an operator in real time through the force / haptic interaction equipment so as to realize the force haptic express and reappear when fingers slide over the surface texture of the virtual object. The feedback continuous change normal force not only enables the human-computer interaction to be more real, but also enables an interaction system to be more stable, and the feedback friction related to the rough degree of the contact point also further enhances the sense of reality when the texture reappears.

A method and system for capturing user actions in the real world and mapping the users, their actions, and their avatars into a three dimensional virtual environment. Data representing real world users are captured, collected and sent to a virtual proxy bridge, which transforms the data into control signal for avatars, which are then mapped to the virtual environment. The real world avatars move around in parallel with the users in the real world via the use of data capture devices such as radio frequency identification (“RFID”) readers, triangulation or global positioning satellite (“GPS”) systems, and cameras. Real world users can therefore be represented as virtual users, thus removing the distinction between real world users and virtual environment users.

In an automated method system for coordinating navigations within two or more knowledge bases that would otherwise be functionally independent, context-continuity is maintained when an automated transfer is executed from a first knowledge base to a second knowledge base. The transfer is triggered by detection that the second knowledge base has a greater relevance to the user. As a result of the context-continuity, information acquired prior to the transfer is used to achieve a partial navigation within the second knowledge base. For embodiments involving Virtual Agents, the content-continuity includes simulating a continuation of dialog despite the transfer.

A method for generating dialogs for learning a dialog policy includes, for each of at least one scenario, in which annotators in a pool of annotators serve as virtual agents and users, generating a respective dialog tree in which each path through the tree corresponds to a dialog and nodes of the tree correspond to dialog acts provided by the annotators. The generation includes computing a measure of uncertainty for nodes in the dialog tree, identifying a next node to be annotated, based on the measure of uncertainty, selecting an annotator from the pool to provide an annotation for the next node, receiving an annotation from the selected annotator for the next node, and generating a new node of the dialog tree based on the received annotation. A corpus of dialogs is generated from the dialog tree.

The invention discloses a human posture estimation method based on OpenPose and Kinect and a rehabilitation training system. The system comprises a human posture estimation module based on OpenPose and Kinect, a scene interactive rehabilitation training virtual scene module and a three-dimensional joint motion trajectory database. The human posture estimation module based on OpenPose and Kinect fuses the depth information of Kinect and 2D human joints obtained by OpenPose algorithm to obtain 3D human joints. The scene interactive rehabilitation virtual scene part builds the progressive rehabilitation virtual scene based on Unity3D platform, and realizes the virtual agent's motion control and other functions. The three-dimensional joint motion trajectory database is used to store and read the motion trajectory data of each joint in the process of rehabilitation training. The system can capture the spatial coordinates of three-dimensional human joints in real time, scene interactive rehabilitation training is lively and interesting, and can provide targeted rehabilitation training according to the patient's situation.

A system and method for assigning relative scores to various possible intents on the part of a user approaching a virtual agent, the method comprising predicting priority topics, including gathering first data and employing the first data to discern and seek user confirmation of at least one possible intent on the part of the user; and subsequent to receipt of the confirmation, gathering second data and employing the second data to provide service to the user to suit the user's confirmed intent.

A computer implemented method and apparatus for ensuring secured dialog between a card holder and a card provider via a network is provided. The system facilitates real-time communicate between a card provider virtual agent and a card holder using a card holder interface operating via a network. In a typical arrangement, the card holder requests completion of a transaction from a merchant system via a network. The upon receiving notification that the transaction request has been denied by the card provider system, the card holder is provided real-time access to the card provider virtual agent. The virtual agent may then send a transaction approval code to the card provider system overriding any transaction denial and permitting the card holder to resubmit the transaction request to the merchant system for subsequent approval.

The present teaching relates to method, system, and medium of automatic re-routing a chat user in a dialog. A request is first received for re-routing the chat user, currently engaged in a dialog involving a first agent, to a second agent. The request comprises relevant information and context of the dialog that gives rise to the re-routing request. Based on the relevant information and the context of the dialog, a re-routing strategy is automatically determined in accordance with re-routing configurations. A second agent to which the chat user is to be re-routed to is then selected based on the re-routing strategy. The chat user is then re-routed to the second agent to continue the dialog.