31 results about "User assistance" patented technology

Embodiments of the disclosed technologies include generating a first thread classification prompt based on a first thread portion of an online dialog involving a user of a computing device, sending the first thread classification prompt to a first large language model, receiving a first thread classification generated and output by the first large language model based on the first thread classification prompt, formulating a plan execution prompt based on the first thread classification, sending the plan execution prompt to a second large language model, receiving a second thread portion generated and output by the second large language model based on the plan execution prompt and the online dialog, and generating a label for a third thread portion of the online dialog.

A wearable device, according to various embodiments, comprises: a pair of earcups configured to output sound; a rotating frame coupled to the earcups so as to be changeable in shape into a first state or a second state; at least one sensor acquiring sensing data including at least one of state data of the rotating frame, image data, or audio data; a display coupled to the rotating frame; at least one processor; and a memory storing instructions, wherein the instructions are individually or collectively executed by the at least one processor such that the wearable device may: acquire language service information including language conversion information for sensing data on the basis of processing the sensing data acquired via the at least one sensor; and determine at least one of the earcups and the display on the basis of a state of the rotating frame and output the language service information.

The present disclosure relates to a user assistance system (100) for a vehicle (10), comprising: - at least one data acquisition module (110) that is set up to collect first data (D1) relating to user behavior and second data (D2) relating to a context in which the user behavior takes place; - a learning module (120) that is set up to adapt at least one situation analysis algorithm (SAL) based on the first data (D1) and the second data (D2); - a situation analysis module (130) configured to analyze a current situation regarding a user's intention to exit the vehicle (10) or enter the vehicle (10) using the adapted situation analysis algorithm (SAL); and - a control module (140) that is configured to control at least one vehicle function based on an analysis result of the situation analysis module (130).

The invention relates to a user assistance system (1) for image support during the navigation of a medical device (4). The user assistance system (1) comprises an imaging system (2) configured to generate image data, at least partially depicting the medical device (4), and to display a graphical representation of the image data to support the navigation of the medical device (4). Furthermore, the user assistance system (1) comprises a monitoring system (3) configured to monitor whether the medical device (4) is moving. The monitoring system (3) is configured to initiate a risk-reducing first measure (101) if the image support provided by the imaging system (2) is deactivated and, according to the monitoring system (3), the medical device (4) is simultaneously moving.

A highly accurate summary prompt is created for use with an AI-generating device to generate machining programs or selected ranges, enabling simple verification and correction of the machining program without relying on the operator's experience or knowledge. The user assistance device is a user-aid function that displays the machining program of industrial machinery, comprising: a machining program acquisition unit that acquires the machining program; a command information acquisition unit that acquires command information including commands and command format information contained in the machining program; a prompt generation unit that generates a summary prompt for the AI-generating device to perform the machining program based on the machining program and the command information; and a prompting unit that prompts the user with the summary of the machining program generated by the AI-generating device based on the generated prompt.

The invention relates to a computer-implemented method, a data processing system, a user assistance system and a computer program for assisting the placement of a medical device. Wherein a predetermined target path (3) of the medical device (1) is received. Subsequently, an assistance visualization (11) for assisting the user (4) in placing the medical device (1) on the object (2) is generated as a function of the target path (3), and the assistance visualization is shown by means of an augmented reality device (10). Wherein the auxiliary visualization (11) comprises a target line (12) according to a target position (13) of the medical device (1) and a target orientation of the medical device (1). Furthermore, the auxiliary visualization comprises a tolerance element (15) which visualizes a predetermined positional tolerance of the target position (13) and / or a predetermined orientation tolerance of the target orientation.

This user assistance device is provided with: an information acquisition unit that acquires device information including at least one of specification information, operation information, and maintenance information relating to a device to be queried; a query acquisition unit that acquires query information including query content expressed in a natural language; a cue generation unit that generates a cue that can be input to the dialogue-type response device on the basis of the device information and the query information; a transmission unit that transmits the presentation to the dialogue-type response device; a reception unit that receives a response from the dialogue-type response device; and an interaction unit that outputs the received response.

The invention relates to a drive system for a drivetrain of a work machine (1), comprising • a plurality of actuating devices (2) for manual user input, wherein each actuating device (2) has a signal interface, • a braking device (3), a drive motor (4) and a transmission (5) having a respective signal interface, • an environment monitoring system (6) having a signal interface, • a vehicle control unit (7) having at least one signal interface, which is connected to the signal interface on the respective actuating device (21, 22, 23) in a signal-transmitting manner and is designed to control drivetrain functions (9) in accordance with the manual user inputs, and • a user assistance interface (8), which is connected to the signal interface of the environment monitoring system (6) in a signal-transmitting manner and is designed to control drivetrain functions (9) in accordance with the environment monitoring system (6) and separately from the vehicle control unit (7). The invention also relates to a method for operating the drive system, wherein manual user inputs are first evaluated by the vehicle control unit (7) and then used to control drivetrain functions (9), wherein environment monitoring signals are provided separately from the signals of the vehicle control unit (7) at the user assistance interface (8) in order to control the drivetrain functions (9).

Various implementations disclosed herein provide augmentations in extended reality (XR) using sensor data from a user worn device. The sensor data may be used understand that a user's state is associated with providing user assistance, e.g., a user's appearance or behavior or an understanding of the environment may be used to recognize a need or desire for user assistance. The augmentations may assist the user by enhancing or supplementing the user's abilities, e.g., providing guidance or other information about an environment to disabled / impaired person.

The application provides a hotel door lock processing method and system based on cardless and a storage medium. A first user room door lock reads a second user door card RFID according to a triggered cardless mode, and sends a door lock verification subscription multicast message to a multicast router; the multicast router establishes a multicast forwarding table item according to the door lock verification subscription multicast message; a second user room door lock sends a door lock cardless verification multicast message to a preset multicast group address according to the cardless assistance verification message; and the multicast router parses the multicast group address and an RFID field according to the door lock cardless verification multicast message, matches the multicast forwarding table item, and executes opening of the first user room door lock. Compared with the prior art, the third-party user assistance verification is used, the distributed verification across door locks is realized by using a multicast communication mechanism, the lock opening is completed by matching dynamic face recognition and RFID information, and the management platform is not required to participate, thereby reducing the business pressure of the management platform.

A method performed by a user equipment (UE) is provided. The method includes sending UE capability information to a network that indicates the UE supports machine learning (ML)-based measurement event prediction, and that indicates the ML model is available in the UE and trained for an inference operation. The method includes receiving an event-triggered measurement reporting configuration from the network for reporting measurement event predictions for a measurement event according to the UE capability information. The method includes performing the inference operation according to the event-triggered measurement reporting configuration in which a measurement event prediction is made using a ML model to which measurements performed by the UE are applied. And the method includes sending a layer 3 (L3) measurement report or user assistance information (UAI) to the network to report the measurement event prediction or the measurement event for evaluation.

A medical system includes a coordination system for coordinating remote assistance for a robotic manipulation system while the robotic manipulation system is in one of multiple operational states. The coordination system includes an environment awareness engine that processes image data of the robotic manipulation system in an operating environment to determine a system-external context by detecting at least one procedure-progression indicator, and determining an estimate of an actual operational state from the multiple operational states based on the at least one procedure-progression indicator. The coordination system further includes a support agent that receives a support request from the medical system, evaluates the system-external context to identify a support person to respond to the support request by identifying the support person to respond to the support request according to the estimate of the actual operational state, and automatically contacts the support person to respond to the support request.

System for assigning one of a plurality of operators to an interaction amongst one or more interactions each between a respective user and a user assistance centre comprising an artificial operator implemented on a computer, wherein each interaction comprises a real-time interaction between a user and the user assistance centre, the system comprising a controller configured to: obtain, during an information-collection phase of an interaction between a respective user and the user assistance centre, first information concerning a matter relating to the respective user; and determine an operator suitable to resolve the matter, based on said first information and on second information output by an AI-based operator assignment unit, the AI-based operator assignment unit being trained based on a dataset including at least the following information associated to each other: (i) past transcript information representing a transcript of an earlier interaction between a user and the user assistance centre; (ii) speech analysis information comprising parameters output from a speech analysis for the earlier interaction; and (iii) operator information identifying an operator assigned to said earlier interaction.

Disclosed aspects pertain to predicting a likelihood that a user enters sensitive data inappropriately and mitigating such a risk. An electronic form is monitored for user interaction. Non-biometric behavior data can be received or otherwise acquired for the user. A machine learning model can be invoked to determine a likelihood that the user will input sensitive data inappropriately into a form field based on the similarity of user non-biometric behavior data with historic non-biometric behavior data. User assistance, such as a message or warning, can be initiated when the likelihood satisfies a predetermined threshold to mitigate the risk of input of sensitive data inappropriately. The field can also be monitored to detect the presence of inappropriate sensitive data. The user can be prompted to redact or remove the sensitive data if detected.

A user assistance device according to the present disclosure acquires a query relating to an object, classifies relevant information relating to the object into a subset on the basis of the query, generates a prompt for summarizing at least a portion of the subset, transmits the prompt to an interactive response device, and receives a response generated using the prompt.

A user assistance device according to the present disclosure comprises: an information acquisition unit that acquires device information including at least one among specification information, operation information, and maintenance information pertaining to a device for inquiry; an inquiry acquisition unit that acquires inquiry information including inquiry content represented in a natural language; a prompt generation unit that generates, on the basis of the device information and the inquiry information, a prompt that can be input to an interactive response device; a transmission unit that transmits the prompt to the interactive response device; a reception unit that receives a response from the interactive response device; and an interaction unit that outputs the received response.

A computer-implemented method for assisting in placement of a medical device on an object, the method comprising: generating an assisting visualization for assisting a user in placing the medical device on the object, depending on a target path for the medical device, the assisting visualization being displayed by an extended reality device. The assisting visualization includes a target line according to a target position for the medical device and a target orientation for the medical device. The assisting visualization further includes a tolerance element visualizing a position tolerance of the target position and / or an orientation tolerance of the target orientation.

The present disclosure provides an industrial software user auxiliary system and a construction method, comprising: a data acquisition and preprocessing module for obtaining industrial software user documents; wherein the user documents comprise: image data and text data; an image analysis module for converting the image data into semantic text; a vectorization encoding module for vectorizing and encoding the semantic text and the text data to obtain semantic feature vectors; a vector index database construction module for determining engineering entity topological information according to the topological relationship between the engineering entities corresponding to the semantic feature vectors; constructing a vector index database according to the semantic feature vectors and the engineering entity topological information; an intelligent retrieval and question answering generation module for performing similarity search in the vector index database under the condition of receiving user input information, and outputting query results.

The application discloses an information acquisition method and device, a terminal, a base station and a storage medium, and belongs to the technical field of communication. The information acquisition method comprises the following steps: a base station receives QoE guarantee target information sent by a core network element or an operation management and maintenance (OAM) network element, wherein the QoE guarantee target information indicates a QoE guarantee target; the base station obtains configuration information of user assistance information based on the user experience QoE guarantee target information; the base station sends the configuration information of the user assistance information to a terminal; and the base station receives user assistance information reported by the terminal based on the configuration information of the user assistance information, wherein the user assistance information indicates the preference of the terminal to the network configuration of the QoE.

The application relates to a test asset recommendation method and system integrating user attributes, which comprises the following steps: obtaining an adjusted intermediate preference value matrix by minimizing the residual error between an initial preference value matrix and a target user hidden attribute vector, a test asset hidden attribute vector, a target user explicit attribute vector and a test asset explicit attribute vector; quantifying analysis results of explicit attributes and hidden attributes of a user and a test asset to form a preference matrix between the user and the test asset; and obtaining different test asset recommendation results for different users, so that the test asset can be accurately recommended to the user, and the user can find the most suitable test asset.

This user assistance device is provided with: a response source storage unit that stores information that serves as a source for a response to an inquiry; an inquiry acquisition unit that acquires an inquiry; a machine information acquisition unit that acquires machine information regarding a control device and an industrial machine that are subjects of the inquiry; a response source search unit that searches for at least one response source from the response source storage unit on the basis of the inquiry and the machine information; a prompt generation unit that, on the basis of the inquiry, the machine information, and the response source, generates a prompt that can be input into a dialogue-type answering device; a transmission unit that transmits the prompt to the dialogue-type answering device; a receiving unit that receives an answer to the prompt from the dialogue-type answering device; and an output unit that produces output regarding the answer.

An entity (14), method and systems for automatically assigning an interaction between a respective user device (10-1, 10-2, … 10-N) and a user assistance centre (15) to an operator device (12-1) are described. The entity comprises a monitoring unit (141) configured for carrying out a monitoring of a first interaction between a first user (10-1) and the user assistance centre (15), wherein the first interaction is assigned to a first operator device (12-1). A prediction unit (142) is present to provide, while a second interaction is in progress and on the basis of said monitoring, a prediction of switching said first interaction to an artificial or human operator device, wherein the second interaction is an interaction between a second user (10-2) and the user assistance centre. An assignment unit (143) assigns, on the basis of said prediction, the second interaction (10-2) to one among said first operator device and another one among one or more operator devices.

Embodiments of the present disclosure provide a visual impairment user assistance method and device, equipment and storage medium, which are applied to the field of robot technology. The method is applied to a robot and includes: receiving a voice assistance instruction issued by a visual impairment user; analyzing the voice assistance instruction to generate an assistance task; decomposing the assistance task into steps to obtain a plurality of assistance steps and an order of the plurality of assistance steps, and identifying an execution device for each assistance step; and calling the execution device for each assistance step in sequence according to the order of the plurality of assistance steps to execute the corresponding assistance step. In this way, the execution device corresponding to each assistance step in the assistance task can be called by the robot in sequence to execute the assistance step, linkage between devices is achieved, and therefore a complex assistance task can be completed conveniently, and the effect of the robot assisting the visual impairment user is improved.

This description concerns assistance implemented by a computer system, comprising: - establishing a current semantic graph of a text obtained from a current message (S34), a request for assistance received by said computer system, - searching, in a business knowledge database (BDD) listing process steps corresponding to semantic graphs, for at least one graph similar to the current semantic graph (S36), to identify a process step (S37) corresponding to the current message, and - generating a signal (SIG) including recommendation data (S39) relating at least to the identified step. Figure 3

This user assistance device is provided with: a query acquisition unit that acquires information expressed in a natural language that expresses query content; a feature vector calculation unit that calculates a feature vector for the query content; an answer source storage unit that stores at least one answer source for the query; an answer source retrieval unit that retrieves one or more answer sources from the answer source storage unit on the basis of the feature vector; a transmission unit that transmits an answer source of the query content and the search result to the dialogue-type response device; a reception unit that receives an answer from the dialogue-type response device; a summary unit that creates a summary of an answer source on the basis of the answer source of the search result; and a presentation unit that outputs the received answer and abstract text.

A user assistance system for image support during navigation of a medical device includes an imaging system configured, for image support during navigation of the medical device, to generate image data that at least partially maps the medical device and to display a graphical representation of the image data. Furthermore, the user assistance system includes a monitoring system configured to monitor whether the medical device is moving and initiate a first risk-reducing measure when the image support by the imaging system is deactivated and, according to the monitoring by the monitoring system, the medical device is moving at the same time.

The invention discloses an auxiliary processing method, device and equipment for a user. Comprising the steps that semantic content input by a user is received through a main agent providing an interaction entrance, a sub-agent set matched with the main agent to work is deployed for the main agent, and the sub-agent set comprises a plurality of sub-agents with different user auxiliary capabilities; performing intention recognition on the semantic content through the main agent to obtain a corresponding intention recognition result, the intention recognition result reflecting at least one preset intention in a plurality of preset intentions; through the main agent, according to a preset intention reflected by the intention recognition result, matching in the sub-agent set to obtain a target sub-agent; distributing an auxiliary task corresponding to the semantic content to the target sub-agent through the main agent; and through the target sub-agent, or through the target sub-agent cooperating with at least another sub-agent in the sub-agent set, executing the auxiliary task by using the user auxiliary capability so as to respond to the user.

A mobile device can provide predictive user assistance based on various sensor readings, independently of or in addition to a location of the mobile device. The mobile device can determine a context of an event. The mobile device can store the context and a label of the event on a storage device. The label can be provided automatically by the mobile device or by the external system without user input. At a later time, the mobile device can match new sensor readings with the stored context. If a match is found, the mobile device can predict that the user is about to perform the action or recognize that the user has performed the action again. The mobile device can perform various operations, including, for example, providing user assistance, based on the prediction or recognition.

[Problem] To provide: an intra-video space calibration system that performs calibration processing relating to a mutual positional relationship and video timing so that deviations in position and time do not occur between users viewing video relating to XR via viewing devices; a user assistance system in which AI provides related information on the basis of acquired information; and a display function in which AI superimposes and arranges content related to real-world objects. [Solution] The present invention comprises: a viewing device that is worn by a user and enables the user to view the video; and a current information acquisition device that recognizes current defining information of each user wearing the viewing device. The viewing device is configured to include: a display means that displays video; a calibration means that calibrates position information and time information in a space constituted by video of each user; and an information holding means that holds each of the calibrated user position information in the space constituted by video, the position information and the time information at which content is displayed, video, and the like.

A user assistance apparatus of the present disclosure is provided with: a source-of-answer storage section that stores information that is a source of an answer to a query; a query acquisition section that acquires a query; a machine information acquisition section that acquires machine information related to a control device and an industrial machine that is an object of the query; a source-of-answer search section that searches the source-of-answer storage section for at least one source of an answer based on the query and the machine information; a prompt generation section that generates a prompt that can be input to a dialogue-type response device, in accordance with the query, the machine information, and the source of an answer; a transmission section that transmits the prompt to the dialogue-type response device; a reception section that receives a response to the prompt from the dialogue-type response device; and an output section that performs an output related to the response.