Abstract: A computer-implemented method for generating results for a client-requested query involves receiving a query produced by a client communication device, generating a result for the query in response to reception of the query, determining one or more predictive follow-up requests before receiving an actual follow-up request from the client device, and initiating retrieval of information associated with the one or more predictive follow-up requests, and transmitting at least part of the result to the client device, and then transmitting to the client device at least part of the information associated with the one or more predictive follow-up requests.

Abstract: A method includes obtaining a help file including steps for a task and generating a knowledge graph including instructions corresponding to the steps. The method further includes extracting, from a user input of a user, an intent to complete the task. Responsive to extracting the intent to complete the task, obtaining the knowledge graph is obtained. Using the knowledge graph, an instruction of the knowledge graph is presented to perform an action in a workflow to complete the task.

Abstract: Methods, apparatus, systems, and computer-readable media are provided for introducing a user to functions of various applications through interactions with an assistant agent. The assistant agent can correspond to an assistant application that can provide a user interface with multiple selectable elements, each of which can correspond to a separate application. When a user selects one of the selectable elements, a function of an application can be demonstrated to the user, in order that the user might become more familiar with functions of the application. In some implementations, a portion of the selectable element can be selected to cause information about the application to be presented to the user. This allows the user to have the option to try out or learn about an application before investing computational resources through downloading and installing the entire application.

Abstract: A method, system and computer program product for maintaining a collection service for websites. A user preference for content desired to be viewed by the user subscribed to the collection service is acquired. Content may then be searched and reviewed both within and outside a website subscribed to the service by the collection service to identify the content of interest to the user using an artificial intelligence system based on the acquired user preference and a rule set. The artificial intelligence system is a learning system that learns the content of interest to the user based on the user's actions. The identified content of interest is then presented to the user in a container within the website subscribed to the service, where the container is a “reusable construct” in that it may appear to the user within any subscribed website.

Abstract: A request for a contact center agent interaction is received from a user device associated with a user. The user device is connected to a virtual waiting room according to a connection mode that is selected from a set that includes a private connection mode. The private connection mode enables the user to observe communications of at least a subset of waiting users of a contact center queue and hides a presence of the user from the waiting users. Responsive to an indication to activate a private session between the user device and an agent device associated with a contact center agent, the user is removed from the virtual waiting room.

Abstract: An example operation includes one or more of receiving, by a computer associated with a transport, a gait of an individual from at least one camera associated with the transport, validating, by the computer, the gait, receiving, by the computer, a gesture of the individual from the at least one camera, validating, by the computer, the gesture, and performing, by the computer, one or more functions based on the validated gait and the validated gesture.

Abstract: A speech recognition platform configured to receive an audio signal that includes speech from a user and perform automatic speech recognition (ASR) on the audio signal to identify ASR results. The platform may identify: (i) a domain of a voice command within the speech based on the ASR results and based on context information associated with the speech or the user, and (ii) an intent of the voice command. In response to identifying the intent, the platform may perform a corresponding action, such as streaming audio to the device, setting a reminder for the user, purchasing an item on behalf of the user, making a reservation for the user or launching an application for the user. In some instances, the speech recognition platform engages in a back-and-forth dialog with the user in order to properly fulfill the user's request.

Abstract: A random password policy for a specific user associated with an entity is generated based on a global password requirement. A new password created by the specific user based on the generated random password policy is identified. That the new password complies with a set of requirements specified by the generated random password policy is confirmed.

Abstract: This disclosure describes techniques that allow a coach-assist controller to provide coach support to a customer service representative (CSR) during an ongoing consumer-CSR interaction. The coach-assist controller may intercept a consumer-CSR interaction and generate corresponding interaction data. The coach-assist controller may further analyze the interaction data to infer a current state of the consumer-CSR interaction, and in doing so, determine whether to request coach support for the CSR.

Abstract: In examples, a schema augmentation system for exploratory research leverages intelligence from a machine learning model to augment such tasks by leveraging intelligence derived from machine learning capabilities. Augmenting tasks include schematization of content, such as information units and groupings of information units. Based on the schematization of such content, semantic proximities for information units are determined. The semantic proximities may be used to identify and present potentially relevant information units, for example to accelerate the exploratory research task at hand. As such, users engaged in consumption of heterogeneous content (e.g., across client applications and/or content sources), may receive machine-augmented support to find potential information units.

Abstract: Methods, media, and systems are disclosed for adding new users to a channel in a group-based communication system. The system receives a request to add new users to a channel. The system adds a new user by classifying the new user's email address domain as internal or external. If the domain is internal, the first user is added to the channel as a member, and if the domain is external, the user is prompted for a type of access for the new user. If the new user's access type is guest, the new user is added to the channel as a guest. If the type of access is shared, the channel is shared with an organization associated with the domain, and the new user is added as a member of the channel that has been shared.

Abstract: Techniques for providing a standardized voice user interface (VUI) that enables voice to voice natural language understanding (NLU) processing are described. The standardized VUI may be added to speechlets to enable a customer to interact with a business via server(s) using NLU processing. For example, a first user may initiate a first voice interaction using NLU processing with the server(s) and the system may initiate a second voice interaction using NLU processing between the server(s) and a second user. This enables a customer to initiate a transaction (e.g., request information, place an order, make a reservation, etc.) with the business using the speechlet. Thus, the business may use the speechlet to offer services without requiring additional infrastructure or complicated programming to implement.

Abstract: The present disclosure generally relates to providing user interfaces based on one or more use contexts and using a receiving device as a hub between the transmitting device and an accessory, where the receiving device establishes a secure connection with the transmitting device and the accessory and provides identifying information to the transmitting device that is typically associated with the accessory.

Abstract: Apparatuses, systems and methods associated with a travel assistance system. A wearable personal navigation device may include a communication system, an indicator, and a processor coupled to the communication system and the indicator. The processor may be configured to generate a request for a navigation path from a location to a destination and transmit the request to a node of the network. The processor may be configured to determine the direction of travel from the location of the user based on a first navigation path received from the node of the network in response to the request, wherein the first navigation path includes at least one modification from a second navigation path, wherein the modification is based on data received by the network from a remote device that indicates an object, and cause the indicator to indicate the direction of travel. Other embodiments may be described and/or claimed.

Abstract: Systems and methods for recommending video game content based on video game performance are disclosed. A level is identified from among a sequence of playable levels of a currently active video game. A video game performance metric for the identified level is determined. Based on the determined video game performance metric, a video of a performance of the identified level of the video game is selected for recommendation from among a plurality of videos stored in a database in association with corresponding video game performance metrics. An option, which is selectable to cause playback of the selected video, is transmitted for display via a computing device.

Abstract: Provided is an information processing device including a control unit that performs processing using a learning model trained by machine learning for a user operation in an application and determines operation support information for operation support to be presented to a user according to a result of the processing.

Abstract: Methods and systems described herein can provide a computing device configured to display on a display screen of the computing device a first window listing a set of entries and a second window that can add entries directly into the set of entries and that can search for entries having selected features. The second window can dynamically display one or more keywords related to an entry as the entry is being created. The keywords can be determined as the entry is created and can be associated with the entry as the entry is added to the set of entries. The second window can receive a search request with the keywords and in response, cause the entries associated with the keywords to be displayed in the first window.

Abstract: On a user interface screen for a user to set a rule relating to property information used for filing a document image and distributing the document image into a folder, at least a first area for editing the rule, a second area displaying a plurality of items selectable by a user, and a third area displaying an image of a sample document are provided. Then, in a case where a particular item being displayed in the second area is activated by a mouse hover, a character area in the image of the sample document being displayed in the third area is highlighted, which corresponds to the particular item activated by the mouse hover.

Abstract: In one example, a content catalog system may process a bulk set of errors to prioritize those errors that may benefit from manual review by a human error administrator. A catalog quality management sub-system of the content catalog system may receive an error output describing a catalog error for a product aspect of a product in a content catalog from an error detection module. The catalog quality management sub-system may categorize the catalog error by a degree of human interaction with an error fix determined from an error metric in the error output. The catalog quality management sub-system may apply an error fix to the catalog error based on the degree of human interaction.

Abstract: The generation, association, and display of in-game tags are disclosed. Such tags introduce an additional dimension of community participation to both single and multiplayer games. Through such tags, players are empowered to communicate through filtered text messages and images as well as audio clips that other game players, including top rated players, have generated and placed at particular coordinates and/or in context of particular events within the game space. Users may generate the tags using standard push-button commands, gestures via gesture-recognition commands, or voice commands such as “drop tag.” The presently described in-game tags and associated user generated content further allow for label based searches with respect to game play, as well as community participation and feedback.

Abstract: A thumbnail preview of a file enables a user to recognize the file without opening it. An algorithmic approach to generating simulated thumbnail previews is provided. This approach includes executing rules for determining and implementing one or more rendering schemas to simulate different content types within a portion of a file. A simulated thumbnail preview is generated from the simulated content types based on a file structure. Since users may rely on the general structure and distinguishing content elements of a thumbnail for recognizing a file, these distinguishing elements are maintained based on different rendering schemas used to create a simulated thumbnail. Moreover, the algorithmic approach promotes consistent simulated thumbnails across clients, regardless of client processing capabilities, form factors, customized theming, or the like. Based on the rules for rendering various content types, the simulated thumbnails are also consistently generated across documents.

Abstract: Systems, methods, and non-transitory computer-readable media can receive training data for training a machine learning model. The machine learning model is trained based on the training data. The machine learning model is trained to identify highlighted portions in audio content items. A first audio content item is received. One or more highlighted portions are identified in the first audio content item based on the machine learning model.

Abstract: The present invention provides methods of utilizing a cranial implant to improve a mental, physical, physiological, and/or informational condition of a person. The method generally comprises steps of 1) obtaining signals from the cranial implant of the person, 2) processing the obtained signals to produce a visually renderable image, and 3) rendering the image on an intraocular display.

Abstract: A head-mounted display unit includes a display and a facial support. The facial supported is coupled to the display for engaging a face of a user to support the display thereon. The facial support is selectively changeable from a compliant state to a support state in which the facial support is more resistant to shape deformation than in the compliant state.

Abstract: An Omni-channel security manager is provided. The Omni-channel security manager is configured to: receive selections for domain/channel specific security applications and deploy security agents to end-point devices. The security agents interact with the Omni-channel security manager to install, initiate, manage, and monitor the domain/channel specific security applications on the end-point devices.

Abstract: A personalized card may be generated using a card-personalization system accessible via multiple access points on a network. In some aspects, the personalized card may include a physical card having an image selected by a user in a card-personalization process. The user may be assigned a code that may both authenticate the user to access the card-personalization system and identify a position of the user in the card-personalization process. The card-personalization process may include a selection process for selecting an image, an approval process for approving the image, and a creation process for generating the personalized card including the image.

Abstract: Systems and methods are described for automatically organizing application shortcuts into folders with user-defined names. An illustrative method includes identifying a plurality of keywords associated with folders with user-defined names on a device, identifying a keyword associated with an application being installed on the device, determining whether the keyword associated with the application matches a keyword in the plurality of keywords, and in response to determining that the keyword associated with the application matches a keyword in the plurality of keywords, adding a shortcut for the application to a folder with a user-defined name corresponding to the matching keyword.

Abstract: Data processing techniques are described to obtain user data previously collected when a user is requested to complete application forms associated with multiple servers. The application forms may include some fields that may be in common and that may request the same user data. For each application form requested by the user, the data processing techniques can identify and obtain the relevant previously collected data about the user for the application form. The application form for a product can have certain fields that may be pre-filled based on the relevant and/or non-confidential previously collected user data. The data processing techniques can also provide an estimate of the time that may be needed by the user to complete at least one application form so that the user can obtain a requested product.

Abstract: The present application disclosures a voice skill starting method, an apparatus, a device, and a storage medium, and relates to the field of artificial intelligence. An implementation scheme is that: the method is applied to an electronic device including at least one third-party voice skill and a built-in voice skill, and the electronic device is currently in the built-in voice skill. The method includes: receiving a current demand instruction of a user; judging whether the current demand instruction belongs to an entry demand instruction corresponding to the third-party voice skill according to a mapping relationship in response to the current demand instruction; and switching from the built-in voice skill to the third-party voice skill if it is determined that the current demand instruction belongs to the entry demand instruction corresponding to the third-party voice skill.

Abstract: A system and method for providing interactive guidance to a user via a billboard computing device for navigating a workplace. The system and method include receiving a content package generated based on data associated with an organization, the content package including a plurality of menu items, a concierge item, and a plurality of content items; displaying the concierge item and the plurality of menu items within a first region of a screen; displaying, based on the content package, a first content item of the plurality of content items within a second region of the screen; detecting, by a billboard computing, an interaction with the concierge item displayed on the screen; and morphing, responsive to detecting the interaction with the concierge item and based on the content package, the concierge item from a first display format to a second display format different from the first display format.

Abstract: The innovation disclosed and claimed herein, in one aspect thereof, comprises systems and methods of user interface competence adaptation and fraud detection. The innovation includes a user device that provides a user interface to receive user interactions. A monitoring component monitors user interactions by the user on the user device. The user interactions can be controlling, navigating, or inputting to the user interface. A determination component determines a user proficiency based on the monitored user interactions. A configurator determines and implements a device configuration for the user device based on the determined user proficiency. A security component determines a different user is accessing the user device based on a change in user proficiency exceeding a threshold change. The security component implements security measures upon determine a different user has access.

Abstract: Methods and systems described in this disclosure receive a request for assistance from a device associated with a user, launch a conversational virtual assistant on the device, determine at least one potential subject of the request based on information associated with the user and a tab or webpage from which the conversational virtual assistant is launched, receive a verification of the subject of the request, create a contact menu with options for receiving the assistance, and receive a selection of one of the options.

Abstract: An automated presentation review system includes a controller in communication with a user device, the user device comprising an input mechanism and a display mechanism, and a memory coupled to the controller. The controller displays a graphical user interface through which a presentation review window is displayed. The presentation review window simultaneously provides a presentation display frame displaying a presentation comprising plurality of presentation slides and a results display frame. The controller then displays results of an analysis of the presentation that includes one or more icons signifying an inconsistency identified in the presentation across the plurality of presentation slides.

Abstract: Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of: monitoring first activities of a user over a first time period; based on the first activities of the user over the first time period, identifying, using a Markov model, a first probability of the user being in a first state; determining when the first probability is above a first probability predefined threshold; in response to determining when the first probability is above the first probability predefined threshold, automatically customizing first content on a graphical user interface for the first state to create a first graphical user interface on an electronic device of the user while the user is determined to be in the first state; monitoring second activities of the user over a second time period occurring after the first time period and after the user has been determined to be in the first

Abstract: A message management platform may receive, from an application operator, a configuration of a message flow. The message flow includes one or more messages associated with trigger conditions. The platform may receive, from a code snippet incorporated in an application of a user computing device, a notification that the user computing device has used the application. The platform may associate a user identifier with the user computing device. The platform may subscribe to, on behalf of the application operator, one or more API notification channels of the application builder platform. The platform may receive an API notification from the application builder platform. The platform may determine that the application builder platform's user is associated with the user identifier used by the message management platform. The platform may determine that the event described in the payload matches the trigger condition and transmit the first message to the user computing device.

Abstract: Natural gestures for interacting with spreadsheet documents are provided. A user may interact with a spreadsheet document using a variety of touch-based gestures. Gestures applied to a spreadsheet document may be used for making structural and display changes to the document. For example, gestures may be used on the spreadsheet document for inserting new columns and rows; for revealing hidden columns and rows; for deleting columns and rows; for extending functionalities across columns and rows; for moving objects displayed in a spreadsheet document; and for navigating various parts of a spreadsheet document.

Abstract: An electronic device may have a display. The display may have an active region in which display pixels are used to display images. The display may have one or more openings and may be mounted in a housing associated with the electronic device. An electronic component may be mounted in alignment with the openings in the display. The electronic component may include a camera, a light sensor, a light-based proximity sensor, status indicator lights, a light-based touch sensor array, a secondary display that has display pixels that may be viewed through the openings, antenna structures, a speaker, a microphone, or other acoustic, electromagnetic, or light-based component. One or more openings in the display may form a window through which a user of the device may view an external object. Display pixels in the window region may be used in forming a heads-up display.

Abstract: This application relates to systems and methods for proactively predicting user intents on personal agents. In some examples, a user intent prediction system can include a computing device configured to obtain user intent data identifying a desired action by a user on a network-enabled tool. The computing device is further configured to obtain contextual data characterizing a user's interaction with the network-enabled tool. The computing device can then determine at least one predicted future intent of the user on the network-enabled tool based on the user intent data and the contextual data and present the at least one predicted future intent to the user.

Abstract: Provided herein are systems and methods for personalizing digital guidance for improved user adoption of an underlying computer application. In one exemplary implementation, a method includes identifying an underlying application, identifying different pages of the application, gathering usage data at a user level for n days, creating a user behavior matrix from the gathered data, performing a user similarity calculation for each pair of the users, tabulating a consumption count for each of the users, performing a series of score calculations for a recommendation user, calculating an intermediate score for each piece of content, counting a number of users who clicked on each piece of content, obtaining a final score for each piece of content, deciding on a ranking order of the content based on the final scores, and recommending content to the recommendation user from the ranking step.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing augmented reality assistance mode functionalities. Certain embodiments utilize systems, methods, and computer program products that perform augmented reality assistance mode functionalities by using at least one of environment familiarity predictions, assistance mode triggering need determinations, and threat detection machine learning models.

Abstract: Determining input data for at least one machine learning model based on electronic data of a user. Predicting, based on the input data and the at least one machine learning model, a mental state of the user, the mental state comprising mood values, uncertainty values, and magnitude values, each mood value being associated with a corresponding uncertainty value of the uncertainty values and a corresponding magnitude value of the magnitude values, the magnitude value indicating a relative strength or weakness of the associated mood value. Selecting and arranging, based on the predicted mental state, a subset of graphical elements, each graphical element being associated with a corresponding mood value of the set of mood values, and each graphical element of the subset of graphical elements being associated with the predicted mental state of the user.

Abstract: A display apparatus (1) includes a searcher (105) that searches document data displayed on a display device (10) for a target character that accords with a character to search, and a marker display controller (106) that displays a marker on a position corresponding to the target character detected by the searcher (105). A display controller (103) (i) causes the display device, when a slide operation is performed on the marker displayed on the display device (10), to display a next marker on an opposite side, in a direction of the slide operation, and (ii) causes the display device, when a slide operation is performed on a position other than the marker displayed on the display device (10), to scroll a screen on the display device (10) in the direction of the slide operation.

Abstract: A smart assistant is disclosed that provides for interfaces to capture requirements for a technical assistance request and then execute actions responsive to the technical assistance request. Example embodiments relate to parsing natural language input defining a technical assistance request to determine a series of instructions responsive to the technical assistance request. The smart assistant may also automatically detect a condition and generate a technical assistance request responsive to the condition. One or more driver applications may control or command one or more computing systems to respond to the technical assistance request.

Abstract: A method for streaming action fulfillment receives audio data corresponding to an utterance where the utterance includes a query to perform an action that requires performance of a sequence of sub-actions in order to fulfill the action. While receiving the audio data, but before receiving an end of speech condition, the method processes the audio data to generate intermediate automated speech recognition (ASR) results, performs partial query interpretation on the intermediate ASR results to determine whether the intermediate ASR results identify an application type needed to perform the action and, when the intermediate ASR results identify a particular application type, performs a first sub-action in the sequence of sub-actions by launching a first application to execute on the user device where the first application is associated with the particular application type. The method, in response to receiving an end of speech condition, fulfills performance of the action.

Abstract: A model learning device provided with: an error-added movement locus generation unit for adding an error to movement locus data for action learning that represents the movement locus of a subject and to which is assigned an action label that is information representing the action of the subject, and thereby generating error-added movement locus data; and an action recognition model learning unit for learning a model, using at least the error-added movement locus data and learning data created on the basis of the action label, by which model the action of some subject can be recognized from the movement locus of the subject. Thus, it is possible to provide a model by which the action of a subject can be recognized with high accuracy on the basis of the movement locus of the subject estimated using a camera image.

Abstract: In one aspect, A computerized method for implementing a virtualized training session user interface (UI) with respect to a production software UI includes the step of providing a production software application. The method includes displaying a guide on a production software UI. A workflow and a tutorial content of the guide is determined dynamically using one or more specified machine-learning algorithms. The method includes displaying the guide as a set of images with a virtual lab placed on top of each image of the guide. The method includes receiving a user input comprising a learning-related data inside a virtual environment of the guide.

Abstract: Dynamic interfacing with applications is provided. For example, a system receives a first input audio signal. The system processes, via a natural language processing technique, the first input audio signal to identify an application. The system activates the application for execution on the client computing device. The application declares a function the application is configured to perform. The system modifies the natural language processing technique responsive to the function declared by the application. The system receives a second input audio signal. The system processes, via the modified natural language processing technique, the second input audio signal to detect one or more parameters. The system determines that the one or more parameters are compatible for input into an input field of the application. The system generates an action data structure for the application. The system inputs the action data structure into the application, which executes the action data structure.

Abstract: A device provides audible output pertaining to audio video (AV) content such as a video game based on a section of the AV content that is being presented.

Abstract: A personalized card may be generated using a card-personalization system accessible via multiple access points on a network. In some aspects, the personalized card may include a physical card having an image selected by a user in a card-personalization process. The user may be assigned a code that may both authenticate the user to access the card-personalization system and identify a position of the user in the card-personalization process. The card-personalization process may include a selection process for selecting an image, an approval process for approving the image, and a creation process for generating the personalized card including the image.

Abstract: A computer system having one or more processors and memory storing one or more programs for execution by the one or more processors is described. The computer system displays at least a portion of the respective document, and while displaying at least the portion of the respective document, receives a request for document operation labels. The document operation labels correspond to respective document operations. In response to receiving the request for document operation labels, the computer system selects a plurality of document operation labels at least in accordance with user data and user-interface data corresponding to a respective user of the computer system, and provides the plurality of document operation labels for display to the respective user.