Abstract: After a host client establishes a multimedia stream with a guest client, host data is received from a host application. A state machine is updated using the host data. The host application executes on the host client. Guest data is received from a guest application. The state machine is updated using the guest data. The guest application executes on the guest client. Transaction data is propagated between the host application and the guest application. The transaction data is presented with the multimedia stream. The transaction data includes the host data and the guest data. Provider data is generated responsive to updating the state machine with the host data and the guest data. The provider data is sent to the guest client. The provider data is presented with the multimedia stream by the guest application on the guest client.

Abstract: In a collection technique, a user (such as a taxpayer) provides information (such as income-tax information) by submitting an image of a document, such as an income-tax summary or form. In particular, the user may provide a description of the document. In response, the user is prompted for the information associated with the field in the document. Then, the user provides the image of a region in the document that includes the field. Based on the image, the information is extracted, and the field in the form is populated using the extracted information. The prompting, receiving, extracting and populating operations may be repeated for one or more additional fields in the document.

Abstract: In a collection technique, a user (such as a taxpayer) provides information (such as income-tax information) by submitting an image of a document, such as an income-tax summary or form. In particular, the user may provide a description of the document. In response, the user is prompted for the information associated with the field in the document. Then, the user provides the image of a region in the document that includes the field. Based on the image, the information is extracted, and the field in the form is populated using the extracted information. The prompting, receiving, extracting and populating operations may be repeated for one or more additional fields in the document.

Abstract: A method including receiving, at a platform and from a first user using a first user device, selection of a uniform resource indicator (URI) unique to a second user using a second user device. The method also includes generating, automatically by the platform in response to receiving the URI, a conference session unique to the first user and the second user. The method also includes transmitting, automatically by the platform, a message to the second user, the message indicating that the conference session is initiated. The method also includes receiving, by the platform, an indication from the second user device that the second user joins the conference session. The method also includes joining, automatically by the platform, the first user device and the second user device in the conference session.

Abstract: A method including receiving, at a platform and from a first user using a first user device, selection of a uniform resource indicator (URI) unique to a second user using a second user device. The method also includes generating, automatically by the platform in response to receiving the URI, a conference session unique to the first user and the second user. The method also includes transmitting, automatically by the platform, a message to the second user, the message indicating that the conference session is initiated. The method also includes receiving, by the platform, an indication from the second user device that the second user joins the conference session. The method also includes joining, automatically by the platform, the first user device and the second user device in the conference session.

Abstract: A method including receiving, at a platform and from a first user using a first user device, selection of a uniform resource indicator (URI) unique to a second user using a second user device. The method also includes generating, automatically by the platform in response to receiving the URI, a conference session unique to the first user and the second user. The method also includes transmitting, automatically by the platform, a message to the second user, the message indicating that the conference session is initiated. The method also includes receiving, by the platform, an indication from the second user device that the second user joins the conference session. The method also includes joining, automatically by the platform, the first user device and the second user device in the conference session.

Abstract: A method including transcribing, automatically, an ongoing stream of voice data into text phrases. The method also includes receiving an indication of a selected text phrase in the text phrases. The method also includes converting the selected text phrase to a selected phrase vector. The method also includes generating a subsequent text phrase, after the selected text phrase, from the ongoing stream of voice data, and adding the subsequent text phrase to the text phrases. The method also includes converting the subsequent text phrase to a subsequent phrase vector. The method also includes generating a similarity confidence score from the selected phrase vector and the subsequent phrase vector, using a machine learning model. The method also includes highlighting, responsive to the similarity confidence score exceeding a threshold value, the subsequent text phrase in the text phrases.

Abstract: After a host client establishes a multimedia stream with a guest client, host data is received from a host application. A state machine is updated using the host data. The host application executes on the host client. Guest data is received from a guest application. The state machine is updated using the guest data. The guest application executes on the guest client. Transaction data is propagated between the host application and the guest application. The transaction data is presented with the multimedia stream. The transaction data includes the host data and the guest data. Provider data is generated responsive to updating the state machine with the host data and the guest data. The provider data is sent to the guest client. The provider data is presented with the multimedia stream by the guest application on the guest client.

Abstract: The invention relates to a method for documenting subjects using hash chains. The method includes receiving a subject data write request including one or more subject attribute values, generating a fingerprint from a current last block of a hash chain, and generating a payload from the subject data, the payload including the one or more subject attribute values and one or more keys identifying the one or more subject attribute values. The method further includes appending a block to the hash chain. The appended block includes the payload and the fingerprint.

Abstract: Methods, systems and articles of manufacture for allowing taxpayers to utilize mobile communication or communication devices such as smartphones and tablet devices to upload tax document images and process tax document images such that resulting recognized tax data is incorporated into an electronic tax return. Authentication data is generated and provided to the taxpayer to establishing a connection with an image processor, which provides recognized tax data to the on-line tax preparation application for incorporation into the electronic tax return. Authentication data may be embodied within a URL address to the image processor that is transmitted as a SMS message to the mobile communication or computing device or encoded within a QR code such that the mobile communication or computing device can be used to take an image of and decode the QR code to determine the URL address and authentication data to establish a connection with the image processor.

Abstract: Methods, systems and articles of manufacture for allowing taxpayers to utilize mobile communication or communication devices such as smartphones and tablet devices to upload tax document images and process tax document images such that resulting recognized tax data is incorporated into an electronic tax return. Authentication data is generated and provided to the taxpayer to establishing a connection with an image processor, which provides recognized tax data to the on-line tax preparation application for incorporation into the electronic tax return. Authentication data may be embodied within a URL address to the image processor that is transmitted as a SMS message to the mobile communication or computing device or encoded within a QR code such that the mobile communication or computing device can be used to take an image of and decode the QR code to determine the URL address and authentication data to establish a connection with the image processor.

Abstract: In a collection technique, a user (such as a taxpayer) provides information (such as income-tax information) by submitting an image of a document, such as an income-tax summary or form. In particular, the user may provide a description of the document. In response, the user is prompted for the information associated with the field in the document. Then, the user provides the image of a region in the document that includes the field. Based on the image, the information is extracted, and the field in the form is populated using the extracted information. The prompting, receiving, extracting and populating operations may be repeated for one or more additional fields in the document.

Abstract: A system for acquiring tax data during electronic tax return preparation includes a client computer configured to render a first webpage and receive interface data from a tax data source computer. The system also includes a browser server computer configured to receive the interface data from the client computer, process the interface data to generate rendering instructions, and transmit the rendering instructions to the client computer. The client computer and the browser server computer are configured such that, when the client computer executes the rendering instructions, the client computer renders a secondary webpage. The secondary webpage is controllable independent of the primary webpage.

Abstract: In a collection technique, a user (such as a taxpayer) provides information (such as income-tax information) by submitting an image of a document, such as an income-tax summary or form. In particular, the user may provide a description of the document. In response, the user is prompted for the information associated with the field in the document. Then, the user provides the image of a region in the document that includes the field. Based on the image, the information is extracted, and the field in the form is populated using the extracted information. The prompting, receiving, extracting and populating operations may be repeated for one or more additional fields in the document.

Abstract: A system for acquiring tax data during preparation of an electronic tax return includes a client computer executing a browser, a browser rendering computer in communication with the client computer, and a machine learning system utilized by the browser rendering computer. The client computer is configured to present a tax preparation webpage, and receive interface data representing s first user's interactions with a first tax data source website. The browser rendering computer is configured to execute the machine learning system, derive navigation information for the first tax data source website, generate rendering instructions for the first tax data source website, and transmit the rendering instructions to the client computer. The client computer is also configured to execute the rendering instructions to implement a second browser that presents a tax data source webpage that is controllable by a user independently of the tax preparation webpage.

Abstract: An application determines an emotional state of a user based on evaluating facial recognition data of the user captured from the user interacting with the application. The application receives a request from the user to initiate a support call. The request identifies the emotional state of the user. The application predicts, from a set of outcomes of support calls processed by support agents interacting with users having different emotional states, an emotional state that increases a likelihood of achieving a specified outcome for the support call based on the emotional state of the user. The application identifies an available support agent having the predicted emotional state, and assigns the user to interact with the identified support agent for the support call.

Abstract: An application determines an emotional state of a user based on evaluating facial recognition data of the user captured from the user interacting with the application. The application receives a request from the user to initiate a support call. The request identifies the emotional state of the user. The application predicts, from a set of outcomes of support calls processed by support agents interacting with users having different emotional states, an emotional state that increases a likelihood of achieving a specified outcome for the support call based on the emotional state of the user. The application identifies an available support agent having the predicted emotional state, and assigns the user to interact with the identified support agent for the support call.

Abstract: An application determines an emotional state of a user based on evaluating facial recognition data of the user captured from the user interacting with the application. The application receives a request from the user to initiate a support call. The request identifies the emotional state of the user. The application predicts, from a set of outcomes of support calls processed by support agents interacting with users having different emotional states, an emotional state that increases a likelihood of achieving a specified outcome for the support call based on the emotional state of the user. The application identifies an available support agent having the predicted emotional state, and assigns the user to interact with the identified support agent for the support call.

Abstract: The present disclosure relates to dynamically generating user interfaces based on a user's emotional state. An example method generally includes a computer system receiving emotional response data from a client device. The computer system identifies a version of a user experience to present on the client device based on the received emotional response data and generates code for rendering a user interface associated with the identified version of the user experience. The generated code is transmitted to the client device for rendering and presentation on the client device.

Abstract: The invention relates to a method for documenting subjects using hash chains. The method includes receiving a subject data write request including one or more subject attribute values, generating a fingerprint from a current last block of a hash chain, and generating a payload from the subject data, the payload including the one or more subject attribute values and one or more keys identifying the one or more subject attribute values. The method further includes appending a block to the hash chain. The appended block includes the payload and the fingerprint.