Abstract: The present disclosure provides systems and methods for assessing a mental state of a subject in a single session or over multiple different sessions, using for example an automated module to present and/or formulate at least one query based in part on one or more target mental states to be assessed. The query may be configured to elicit at least one response from the subject. The query may be transmitted in an audio, visual, and/or textual format to the subject to elicit the response. Data comprising the response from the subject can be received. The data can be processed using one or more individual, joint, or fused models. One or more assessments of the mental state associated with the subject can be generated for the single session, for each of the multiple different sessions, or upon completion of one or more sessions of the multiple different sessions.

Abstract: Systems and methods of automatically distilling concepts from math problems and dynamically constructing and testing the creation of math problems from a collection of math concepts comprising: providing a user interface to a user; receiving as input: a math problem; one or more math concepts; and/or a user data packet; extracting and compiling a concept cloud of one or more CLIs that comprise the mathematical concepts embodied in the input, describe the operation of the one or more math concepts, or relate to the UDP, respectively; generating one or more math problem building blocks from the concept cloud CLIs; applying a mathematical rules engine to the one or more math problem building blocks to build one or more additional math problems; and returning to the user, through the user interface, the one or more additional math problems built from the CLIs that define the concept cloud extracted from the input.

Abstract: Industrial vehicle monitoring for modification of vehicle operator behavior comprises storing data identifying an event associated with the operation of an industrial vehicle, the data having a performance parameter to evaluate against the event. Further, operation of the industrial vehicle is monitored for an event. When an occurrence of the event is detected, event data that characterizes an action of a vehicle operator is recorded into memory. The recorded event data is evaluated against the performance parameter to determine whether the vehicle operator demonstrated appropriate behavior for the detected event, and a behavior modification action is determined based on the evaluation of the recorded event data against the performance parameter. An output message is conveyed on the industrial vehicle to perform the behavior modification action.

Abstract: Embodiments of the disclosure provide an interaction system, method and device. The interaction system includes an electroencephalogram electrode array that determines a position of a sound source and invoking the electroencephalogram electrode corresponding to the position of the sound source to output a touch signal to a user.

Abstract: Provided in accordance with the present disclosure are systems, methods, and computer readable media for providing guidance for positioning a body and a surgical robot. An exemplary system includes an image capture device configured to capture an image of a surgical training environment and generate image data of the surgical training environment, a head-mounted display, and a computing device configured to receive a surgical training parameter, receive the image data of the surgical training environment, detect a pose of the table and the surgical robot, generate a virtual training environment based on the surgical training environment, determine a pose of a user relative to the surgical training environment, generate guidance for positioning a body on the table or the surgical robot about the body, based on the surgical training parameter and the determined pose of the user, and cause the head-mounted display to display the generated guidance.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: predicting an exhibited sentiment of a certain user on being presented one or more candidate education segment, wherein the predicting is in dependence on historical sentiment parameter values of one or more user on being exposed to presented educational content, the historical sentiment parameter values being stored in a data repository, wherein the presented education segments comprise digital media content adapted for playing by a digital media player; selecting at least one of the one or more candidate education segment in dependence on a result of the predicting so that a selected at least one of the one or more candidate education resulting from the selecting is personalized for the certain user; and presenting to the certain user the selected at least one of the one or more candidate education segment.

Abstract: There is provided a learning management system comprising: a display; and a processing element in electronic communication with the display, the processing element configured to perform the following operations: generate a plurality of nodes, wherein the nodes correspond to an item of content; implement a testing module that selects a first node of the plurality of nodes to display on the display, wherein the first node outputs to the display one or more questions to a user and prompts the user to select an answer; and implement a confidence metric that prompts the user to select a value corresponding with the user's confidence that the selected answer is correct, wherein the selected answer and the confidence metric value for the first node are used to determine a second node from a plurality of nodes to display to the user next.

Abstract: A method for execution by a computer generating a virtual reality environment utilizing a group of object representations by identifying an exclusion asset and modifying a set of common illustrative assets to exclude the exclusion asset to produce a redacted set of common illustrative assets. The method further includes rendering a portion of the redacted set of common illustrative asset to produce a redacted set of common illustrative asset video frames and selecting a subset of the redacted set of common illustrative asset video frames to produce a common portion of video frames for the virtual reality environment. The method further includes rendering representations of object representations to produce remaining portions of the video frames for the virtual reality environment. The method further includes linking the common portion and the remaining portions of the video frames to produce the virtual reality environment for interactive consumption.

Abstract: Systems and techniques are disclosed for aspects of audiovisual content selection based on collecting and processing physiological data. In an example, a system comprises: a sensor device with at one physiological sensor to capture physiological data from a human subject; an output device with a display device to output video and a speaker to output audio to the human subject; and a computing device with at least one processor to control an output of digital audiovisual data to a human subject via the output device, based on data processing operations including a comparison of an observed pattern of autonomic nervous system activity to a target pattern of autonomic nervous system activity.

Abstract: The disclosed embodiments relate to improved learning methods and systems incorporating multisensory feedback. In some embodiments, virtual puzzle pieces represented by letters, numbers, or words, may animate in conjunction with phonetic sounds (e.g., as to letters or letter combinations) and pronunciation readings (e.g., as to words and numbers) when selected by a user. The animations and audio soundings may be coordinated to better inculcate the correspondence between graphical icons and corresponding vocalizations in the user.

Abstract: The present invention relates a virtual-scene-based language-learning system, at least comprising a scheduling and managing module and a scene-editing module, and the system further comprises an association-analyzing module, the scheduling and managing module are connected to the scene-editing module and the association-analyzing module, respectively, in a wired or wireless manner, the association-analyzing module analyzes based on second-language information input by a user and provides at least one associated image and/or picture, and the association-analyzing module displays the associated images and/or picture selected by the user on a client, so that a teacher at the client is able to understand the language information expressed in the second language by the student based on the associated image and/or picture.

Abstract: A learning system and a method adapted to personalize language learning to individual users. An output device generates and presents learning related data to a user associated with a user ID. An input mechanism receives, in response to the learning related data, response data from the user indicating the users response to the learning related data. A processor associates the learning related data to the response data to couple the response from the user to the learning related data. A database including a storage space associated to the user ID is used for storing the learning related and the associated response data and generates an individualized language knowledge database for the user. The processor is adapted to issue a true (7/) or false (fi) learning related data indicators indicating whether the response data matches the learning related data presented to the user.

Abstract: A method, a computer program product, and a computer system allow a secondary language to be learned through content translation in an engaged linguistical consumption format. The method includes determining an educational corpus for the secondary language that indicates learned words in the secondary language. The method includes determining a select portion of subtitles being shown during a play back of a multimedia file shown in a native language where the select portions include a native word corresponding to the learned words. The method includes generating a modification to the select portion such that the learned words replace the native word in the subtitles. A display of the play back of the multimedia file including the subtitles is updated with a visual graphic corresponding to the modification to replace the native word.

Abstract: In one aspect, an electronic device for promoting proper use of a walking aid during lower extremity injury rehabilitation comprises at least one load sensor configured to measure a load on the walking aid. A memory stores rehabilitation program data defining at least one time interval of a rehabilitation period and, for each time interval, a target load for the walking aid during the time interval. A currently operative time interval of the at least one time interval of the rehabilitation period is identified. Data is received, from the load sensor(s), indicative of a dynamic load on the walking aid during a patient step. Based upon the received data, a peak load upon the walking aid during the patient step is determined. A user notification indicating that the peak load is non-compliant with the target load for the walking aid for the currently operative time interval is provided.

Abstract: A method for providing information on a user's concept understanding is provided. The method includes the steps of: acquiring a set of data on a user's concept understanding estimated using a concept-specific understanding estimation model that is trained on the basis of concept-specific correctness/incorrectness sequence data; and visualizing the user's understanding of at least one of concepts included in the acquired data set.

Abstract: The present disclosure addresses unresolved problem of monopoly in content authoring, creation of dependency loop by providing a single, scalable, one-stop knowledge platform offering high degree of customization by multiple users and leveraging emerging technologies for rapid end-to-end game or learning solutions development. Embodiment of the present disclosure provides methods and systems for providing customized game-based learning and assessment framework. The present disclosure provides a mechanism to configure custom content into a readymade learning and assessment platform. The framework proposed in the present disclosure is custom built to support scalable architecture of a modular digital learning platform, and its functionalities. The system of the present disclosure allows content creators to author custom content to create immersive learning experience that could range from Spatial three-dimensional (3D) technologies, Augmented Reality (AR) and Virtual Reality (VR) or games at one place.

Abstract: In some embodiments, a computer-implemented method for measuring motion values associated with movements of an object as the objects drives along a track comprises: receiving, using a wireless network transceiver, experiment instructions for performing an experiment; generating, based on the experiment instructions, driving instructions for causing the object to drive along the track; executing the driving instructions to cause the object to drive along the track; as the object is driving along the track: receiving, from one or more sensors, motion values associated with the movements of the object as the object drives along the track; transmitting, using the wireless network transceiver, the motion values associated with the movements of the object to one or more user devices to cause a user device, from the one or more user devices, to generate and display a graphical representation of the motion values on a display device of the user device.

Abstract: Aspects of the disclosure relate to dynamically generating simulated attack messages configured for annotation by users as part of cybersecurity training. A computing platform may generate a simulated attack message including a plurality of elements and send the simulated attack message to an enterprise user device. Subsequently, the computing platform may receive, from the enterprise user device, user selections annotating selected elements of the plurality of elements of the simulated attack message. The computing platform may thereafter identify one or more training areas for the user based on the user selections received from the enterprise user device, generate a customized training module specific to the identified one or more training areas, and send the customized training module to the enterprise user device. Sending the customized training module to the enterprise user device may cause the enterprise user device to display the customized training module.

Abstract: A method for guiding deep breathing may include receiving a request from a user to initiate a deep breathing exercise on a user-controlled device. The method may include monitoring deep breathing using one or more sensors on an ear-worn device in response to initiating the deep breathing exercise. Examples of sensors include at least one of a motion detector, a microphone, a heart rate sensor, and an electrophysiological sensor. The method may further include initiating an end to the deep breathing exercise. The method may be used with various hearing systems including an ear-worn device and optionally a user-controllable device, such as a smartphone.

Abstract: A method for generating a virtual reality environment includes detecting an illustrative asset that is common to a first set of assets and a second sets of assets. The method further includes rendering a three-dimensional (3-D) model of the illustrative asset and a 3-D model of the first set of assets using an illustration approach to produce 3-D frames of a first descriptive asset. The method further includes obtaining an evaluation of the first descriptive asset based on a first assessment response associated with a portrayal of the first descriptive asset. The method further includes modifying the illustration approach based on the evaluation to produce an updated illustration approach. The method further includes rendering the 3-D model of the illustrative asset and a 3-D model of the second set of assets using the updated illustration approach to produce 3-D frames of a second descriptive asset.