50 results about "User assistance" patented technology

Technology is disclosed for programmatically generate answers for a user that are responsive to aspects of a conversation, which may be occurring in near real-time. In one implementation, a conversation record is processed to determine a conversation representation and corresponding representation embedding. The representation embedding is used to determine a set of relevant passages of documents within a knowledge base. An answer-generation input instruction for a language model is generated based on the conversation representation, aspects of the relevant passages, and an answer-format instruction. The language model is directed to produce an answer output that includes accessible, passage-level citations for each portion of the answer derived from a particular passage the knowledge base, enabling a user to directly access the relevant passage. The generated answer, along with the citations, is presented via a user interface, thereby improving the efficiency and quality of user assistance.

Systems and methods are disclosed for driver assistance. In one example a method for an advanced driver alert system for a vehicle comprises monitoring, via a user-facing camera, facial movement of a user over time. The method includes determining a plurality of facial movement metrics based on the facial movement over an adjustable time window, transforming the plurality of facial movement metrics into a machine readable representation of the adjustable time window, and determining, via a code reading model, one or more user requests based on the machine readable representation of the facial movement metrics. The method includes executing one or more user assistance operations based on the determined user requests.

A method for sidelink communication coexistence is executed by a terminal device of second radio access technology sidelink communication; and, according to a channel sensing result of first radio access technology sidelink communication, executing a process of sidelink communication second radio access technology sidelink communication, the process comprising at least one of the following processes: resource selection or resource re-selection, sidelink physical channel sending, re-evaluation of a resource to be used for transmission, occupation evaluation of the resource to be used for transmission, and determination of auxiliary resource set information included in inter-user assistance information. In the present technical solution, the terminal device can execute the process of second radio access technology sidelink communication according to the channel sensing result, avoiding transmission resource collision, dynamically sharing a transmission resource on the same carrier frequency, and improve the use efficiency of the transmission resource.

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.

To provide a user support system capable of providing effective support to a user by using a communication robot that can hug the user.SOLUTION: A user support system (10) supports a user (100) through a robot (12) capable of hugging the user. The robot(12) has contact operation imparting units (28, 42) capable of performing a plurality of types of contact operations on the user at a plurality of contact positions in a state where the robot is hugging the user, as a result of a plurality of actuators controlled through an actuator control circuit (42) of the robot (12). Three types, questioning, listening and responding, are set as a dialogue act between the robot which is a receiver and the user who is a speaker, and type determination means (56, S32) determine the type of a contact operation on the basis of the type of the dialogue act. Further, position determination means (56, S33) determine the position of contact on the basis of the type of the dialogue act.SELECTED DRAWING: Figure 6

A user assistance device according to the present disclosure comprises: an inquiry content acquisition unit that acquires an inquiry pertaining to an industrial machine from a user; an answer source search unit that, on the basis of the content of the inquiry, searches for one or more answer sources from an answer source storage unit that stores information serving as a source of an answer to the inquiry; a prompt creation unit that, on the basis of the inquiry content and the result of search of the answer source, creates a prompt that can be inputted 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; an output unit that outputs a first answer to the inquiry included in the response; an inquiry destination selection unit that selects an inquiry destination on the basis of the designation of switching of the inquiry destination, and outputs the content of the inquiry to the selected inquiry destination; an answer acquisition unit that acquires a second answer from the selected inquiry destination; and an exemplary answer storage unit that stores exemplary answer data in which the content of the inquiry is associated with the content of the second answer inputted by an operator.

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 invention provides an industrial software user auxiliary system and a construction method, and the system comprises a data collection and preprocessing module which is used for obtaining an industrial software user document; wherein the user document comprises image data and text data; the image analysis module is used for converting the image data into a semantic text; the vectorization coding module is used for carrying out vectorization coding on the semantic text and the text data to obtain a semantic feature vector; the vector index database construction module is used for determining the topological information of the engineering entities according to the topological relation 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; and the intelligent retrieval and question-answer generation module is used for performing similarity search in the vector index database under the condition of receiving information input by the user and outputting a query result.

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.

The present disclosure relates to large language models for providing user assistance to users of microscopes. The present disclosure relates generally to techniques for providing user assistance when studying samples using a microscope. According to the disclosed techniques, a trained large language model is used to generate user assistance information. The disclosed techniques enable user assistance information to be provided that is tailored to a graphical user interface used by a user to interact with a microscope.

Methods and systems for managing an interactive user assistance system that provides a rich multimodal content experience for a user are disclosed. In particular, hyperlinks may be included in responses generated for the user's questions to the system. These hyperlinks may take the user to one or more videos or video clips containing content that would assist the user in better resolving the user's questions. The videos or video clips may be stored in a hierarchically managed video clip pool that provides efficient retrieval and association with related content for enhancing the user's access to such multimodal content.

The invention provides an electronic equipment activation method, device and system and a clothes airing machine activation method. The method comprises the following steps: acquiring an electronic equipment identifier of to-be-activated electronic equipment; uploading the electronic equipment identifier to a cloud server, and enabling the cloud server to issue a client activation interface entry; receiving an activation instruction issued by the cloud server; wherein the cloud server issues the activation instruction based on an activation verification operation triggered by a client terminal on the client activation interface entry; and transmitting the activation instruction to the electronic equipment to activate the electronic equipment. The method can improve the activation efficiency of the electronic equipment needing the assistance of the user to activate.

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.

This information terminal comprises a processor, an input device, and an output device that performs at least one of audio and video display, wherein the processor: generates, on the basis of information input from the input device, question data for obtaining user assistance information to be presented to a user; obtains answer data that has been generated with respect to the question data by inputting the question data to a trained model; generates user assistance information on the basis of the answer data; and performs at least one of audio output of the user assistance information and display output of the user assistance information.

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.

A coordination system for coordinating remote assistance of a medical system involves a support agent executed by a computer processor. The support agent is configured to receive a first support request submitted by a user of the medical system, and identify a support person to respond to the first support request from a multitude of support persons by applying a support person identification logic to a system-internal context. The system-internal context is obtained from a system awareness engine configured to detect information about the medical system. The support agent is further configured to facilitate contact of the support person.

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.

The present invention addresses the problem of providing a user assistance system that is capable of more personalized assistance compared with prior art.　In a CPU 11 of a management server 1 that constitutes an information processing system, a response generation unit 33 uses a generative AI to generate response information pertaining to a response for assisting the execution of a task of a user on the basis of user information which pertains to the user and which includes at least the task of the user, and a processing control unit 35 causes at least one of the following processes to be executed as control of a process based on the generated response information: a process for managing the task of the user, a process for providing advice or guidance according to the user's ability, a process for motivating and encouraging the user, a process for retaining or using an outcome obtained as a result of the user executing the task. Thus, the problem is solved.

The invention relates to a method for computer-aided user assistance when creating a topology of a communication network (KN) for an industrial installation, wherein by means of a user interface (UI) comprising a display (DI): a) predefined network sections (NA1, NA2, NA3) are graphically reproduced on the display (DI) in response to first user inputs at the user interface (UI), wherein the first user inputs select, for each network section (NA1, NA2, NA3) to be reproduced, a network type (NT1, NT2, NT3) from a plurality of network types (NT1, NT2, NT3) and a network function (NF1, NF2, NF3) from a plurality of network functions (NF1, NF2, NF3), wherein a respective reproduced network section (NA1, NA2, NA3) corresponds to the selected network type (NT1, NT2, NT3) and has the selected network function (NF1, NF2, NF3), and contains devices (1, 2, …, 5) from predetermined device types and internal communication connections (6, 7, 8, 9) between the devices (1, 2,..., 5), wherein the devices (1, 2,..., 5) and the internal communication connections (6, 7, 8, 9) are graphically reproduced on the display (DI); b) external communication connections (601, 701) between at least some of the reproduced network sections (NA1, NA2, NA3) are graphically reproduced on the display (DI) in response to second user inputs at the user interface (UI), wherein the second user inputs define links between reproduced devices (1, 2,..., 5) of different network sections (NA1, NA2, NA3).

The invention discloses a motion monitoring method and system based on the Internet of Things. The motion monitoring method comprises the steps that detection sound data sent in the process that a user uses a trampoline is monitored; analyzing the use proficiency of the user on the trampoline; detecting a muscle load value when the user uses the trampoline; according to the method, the jumping frequency of the trampoline is adjusted and managed according to sounds of different rhythms, so that the purpose of controlling the exercise amount is achieved; different users are distinguished, the user is helped to quantify the muscle load generated when the trampoline is used, and the physiological influence caused by the muscle load is evaluated; according to the method, the state of the user using the trampoline at present is judged by monitoring the different posture characteristics of the user in combination with the set posture characteristics at different heights, so that the monitoring accuracy in the process of using the trampoline by the user is improved, the possibility that the knee joint of the user is injured due to the too high fatigue value of the user during movement is greatly reduced, and the user experience is improved. The system has the advantages of being high in exercise process monitoring capacity and high in humanization degree.