Abstract: An electronic communication method for audio and/or video call sentiment analysis includes receiving, by a second electronic communication system associated with a second user (e.g., the call receiver), an audio and/or video call request from a first electronic communication system associated with a first user (e.g., the call sender). The method further includes determining a sentiment/disposition of the first user. The method further includes displaying, on a graphical user interface of the second electronic communication system, the sentiment/disposition of the second user to indicate to the second user a disposition of the first user. The sentiment can be displayed on the receiver's electronic communication system before the receiver answers the call.

Abstract: A device, system and method for providing machine learning prompts on a call at a contact center server are provided. A contact center (CC) server receives a call. The CC server receives, on the call, an indication of a queue, of a plurality of queues maintained by the CC server, into which to place the call. The CC server places the call into the queue indicated by the indication, the call placed into the queue in a hold state. A machine learning engine generates, based on historical data associated with the queue, one or more prompts for the call. The CC server provides the one or more prompts on the call during the hold state.

Abstract: Systems and methods for detecting a presence of a tracked device (e.g., a device of a guest, an employee, and/or a device coupled to an object), identifying the tracked device (e.g., as being associated with the guest, the employee, and/or the object), and determining a location of the tracked device (e.g., within a venue) can include a plurality of devices and one or more servers. The systems a plurality of communication modules configured to form a network of physical reference points in at least a portion of a venue. The plurality of communication modules can communicate with one or more servers, and the one or more servers can identify and determine a location of the tracked device based on data received in response to presence data being detected. The one or more servers and/or each device can perform various methods associated with presence detection, identification, and location determination.

Abstract: A computer system and method searches organizational communications utilizing sentiment analysis of communication artifacts. A data-collection server first collects organizational data that includes communication artifacts. One or more searchable databases is in communication with the data-collection server and stores the communication artifacts. A search engine searches the databases for the communication artifacts in order to create a sentiment index for one or more sentiment types, wherein each sentiment type is stored in a separate database. A sentiment engine searches and analyzes each of the sentiment databases to create a sentiment index.

Abstract: A conferencing system and method detects one or more two-dimensional (2D) images in presented 2D data and/or objects shown during a videoconference and renders them on a participant's three-dimensional (3D) tactile screen. The system includes a conferencing server that is in communication with one or more participant devices. An image recognition engine is in communication with the conferencing server and identifies the one or more 2D images. An imaging processor is in communication with the image recognition engine, and may be in communication with a camera that recognizes objects shown during the videoconference. The imaging processor creates a 3D rendering of the 2D images and/or the objects and directly or indirectly sends them to the participant's 3D tactile screen.

Abstract: A videoconferencing system and method are configured to generate a video conference including background advertising for one or more conference participants preferably based on an advertising sentiment for each participant. The system may include an advertising engine configured to communicate with advertising sources, a videoconferencing server in communication with the advertising engine and configured to generate a video conference, and an advertising sentiment processor that (a) determines an advertising sentiment for each of the one or more conference participants, and (b) selects unique advertising for each of the one or more of the conference participants based on the advertising sentiment, wherein the advertising sentiment processor is in communication with the advertising engine and with the video conferencing server.

Abstract: A method and system creates a spatial, multi-dimensional presentation file (i.e., a VR file) from a two-dimensional (2D) presentation file. The system may include a server to receive the 2D file and identify axis points in the 2D file. The one or more axis points and supplemental information related to one or more of the axis points are provided to a VR conversion engine. The VR conversion engine creates a VR file that includes the 2D file and supplemental information relating to the one or more axis points.

Abstract: A computer system and method to permit a user to participate in multiple metaverses. The system and method include (1) one or more virtual reality (VR) servers configured to create multiple metaverses; (2) an avatar library in communication with each of the one or more VR servers; (3) a call center server in communication with the one or more VR servers and configured to communicate with a plurality of user operating devices, wherein the call center server is configured to position each unique user via one of the user operating devices into one or more of the multiple metaverses; and (4) a virtual user apparatus unique to a user and configured to permit the user to select between one or more of the multiple metaverses in which to participate.

Abstract: The technology disclosed herein includes analyzing a transcript of a communications session between a customer operating a customer device and a virtual assistant to determine a customer query; analyzing the customer query to generate supplemental information to respond to the customer query; and providing the supplemental information to the customer device by the virtual assistant.

Abstract: A conferencing system for determining a participant's status during a conference may include (1) a conference server configured to identify one or more conference topics, and (2) one or more participant devices in communication with the conference server, wherein each participant device is assigned to a unique participant. A natural language processor (NLP) may be in communication with the conference server, wherein the NLP processor is configured to identify a participant and one or more topics on which the participant comments. A ranking engine is configured to identify one or both of (a) whether the participant was an originator of an idea related to a conference topic, and (b) the participant's contribution to a conference topic.

Abstract: Systems and methods for of automated gamification are disclosed. An example method of automated gamification is disclosed. The method includes transcribing content of a proceeding. The method includes determining one or more keywords from the content transcribed, the one or more keywords indicating a topic of the proceeding. Additionally, the method includes generating a game for the proceeding based on the one or more keywords using Natural Language Processing (NLP). The method also includes presenting the game for the proceeding to at least one participant of the proceeding and receiving a response to the game from the at least one participant of the proceeding. Additionally, the method includes allowing the at least one participant of the proceeding to move to a next objective, based on evaluating the response received based on an established criterion.

Abstract: A conferencing system for determining a participant's status during a conference may include (1) a conference server configured to identify one or more conference topics, and (2) one or more participant devices in communication with the conference server, wherein each participant device is assigned to a unique participant. A natural language processor (NLP) may be in communication with the conference server, wherein the NLP processor is configured to identify a participant and one or more topics on which the participant comments. A ranking engine is configured to identify one or both of (a) whether the participant was an originator of an idea related to a conference topic, and (b) the participant's contribution to a conference topic.

Abstract: Electronic communication methods and systems for determining biometric events and annotating recorded information with indicia of the biometric events are disclosed. Exemplary methods and systems can further determine contexts within the recorded information and further annotate the recorded information with indicia of the context.

Abstract: A communication system mitigating the risk of an incoming spoofed caller. The method involves issuing a token or a digital certificate to each network connection of a user, such as to each member of a social media platform to which the user is connected. The method includes determining a validity of the token or certificate of the network connection with a receiving party, which may be performed in response to searching and identifying the receiving party by a calling party. The method includes transmitting a message to the receiving party by the calling party in response to the validity confirmation of the token or the digital certificate. A message is transmitted that includes a calling identifier to be displayed to provide calling ID to the receiving party and a time of the intended call. The message may provide connection details, mutual connections, and historical events with the calling party.

Abstract: The technology disclosed herein includes analyzing a transcript of a communications session between a customer operating a customer device and a virtual assistant to determine a customer query; analyzing the customer query to generate supplemental information to respond to the customer query; and providing the supplemental information to the customer device by the virtual assistant.

Abstract: A communication system and method mitigates the risk of connecting to undesirable social media contacts. The system and method may involve identifying trusted contacts of a user and saving them in a trusted contacts database, wherein the trusted members can be one or more of (a) work contacts, (b) contacts from other social media sites, (c) friends and family, and (d) others. When a potential contact on a social media platform attempts to connect to the user, the identity of the potential contact is compared to the trusted contacts in the trusted contacts database. The user is then alerted as to whether the potential contact is in the trusted contacts database and the user can utilize that information to determine whether or not to connect to the potential contact. Alternatively, the proposed connection may be (1) automatically rejected is the potential contact is not in the trusted contacts database, or (2) automatically accepted if the potential contact is in the trusted contacts database.

Abstract: A communication system configured to provide blockchain-driven certification of iterative electronic communications such as e-mail-based communications. The system provides blockchain-driven certification by storing the hash of an e-mail thread in a blockchain each time the message or its elements are modified. This allows the system to verify whether or not the thread has been tampered with since it was last modified, when the last verified message was added to the thread. The system creates a baseline that is used towards creating trust certificates ensuring the recipients of such iterative electronic communications that the message has not been breached during its iterations that are shared between two or more parties, e.g., communications participants including senders and recipients.

Abstract: A conferencing system for determining a participant's status during a conference may include (1) a conference server configured to identify one or more conference topics, and (2) one or more participant devices in communication with the conference server, wherein each participant device is assigned to a unique participant. A natural language processor (NLP) may be in communication with the conference server, wherein the NLP processor is configured to identify a participant and one or more topics on which the participant comments. A ranking engine is configured to identify one or both of (a) whether the participant was an originator of an idea related to a conference topic, and (b) the participant's contribution to a conference topic.

Abstract: Embodiments include systems and methods for receiving an action item trigger by a user of a conferencing application; and in response to receiving the action item trigger, generating spoken words from audio data of a session of the conferencing application; normalizing the spoken words; generating higher-level representations of the normalized spoken words; determining semantic similarities of the higher-level representations of the normalized spoken words and higher level representations of normalized action words of an action word list; ranking options for top spoken words and action words based at least in part on the semantic similarities; identifying candidates for action words and/or phrases from the top spoken words and action words; and parsing the candidates to generate one or more action items.

Abstract: Systems, devices, and methods for UI testing and reconciliation are presented. In one example, a method of UI testing includes generating a wireframe model of the UI. The method also includes generating a code segment from a portion of the wireframe model of the UI. Additionally, the example method includes determining whether an error in the code segment exists based on a comparison of an aspect of the wireframe model to an aspect of the code segment. The method may include generating an updated code segment from the portion of the wireframe model of the UI when determining the error in the code segment.