95 results about "User assessment" patented technology

The invention discloses a dual-prevention intelligent interaction system based on a large language model, and belongs to the technical field of artificial intelligence. The system comprises a big language base model, a knowledge base management module, an agent module, a multi-modal big model and an evaluation module, and the big language base model understands user intentions and processes natural language tasks and provides token processing capacity for other modules; the knowledge base management module is used for classified storage and management of professional knowledge, establishing indexes according to semantics and finally performing localized storage; the intelligent agent module is used for analyzing input of a user, and different workflows are packaged in different intelligent agents so as to provide personalized services for the user; the multi-modal large model module receives voice input by a user, converts the voice into characters, transmits description of information to the Agent, generates answers by analyzing semantics, converts the characters into the voice and sends the voice to the user; the evaluation module establishes an evaluation index system from the four aspects of accuracy, answer correlation, context correlation and context recall rate.

The subject matter described herein includes methods, systems, and computer readable media for early detection of a neurodevelopmental or psychiatric disorder using scalable computational behavioral phenotyping. According to one method for early detection of a neurodevelopmental or psychiatric disorder using scalable computational behavioral phenotyping includes obtaining user related information, wherein the user related information includes metrics derived from a user interacting with one or more applications executing on at least one user device; generating, using the user related information and a machine learning based model, a user assessment report including a prediction value indicating a likelihood that the user has a neurodevelopmental or psychiatric (neurodevelopmental / psychiatric) disorder and a prediction confidence value computed using relative contributions of the metrics to the prediction value generated using the machine learning based model; and providing the user assessment report to a display or a data store.

The invention provides an examination system suitable for pathology teaching, which is based on a pathology database, combines with examination key points, automatically generates examination papers, answers and submits the examination papers based on identity information of users, and combines with a multimedia technology and a remote teaching means based on the pathology database. Pathology simulation practice operation is designed for online practice of a user, and a practice operation result is obtained; based on the test paper result and the practical operation result, performing pathological knowledge mastering evaluation on the user to obtain a user evaluation result; the problem that a traditional examination form is difficult to comprehensively evaluate learning results of students is solved, the examination system suitable for pathology teaching can provide diversified evaluation means, learning conditions of the students can be more comprehensively understood by comprehensively evaluating knowledge mastering degrees of the students, and meanwhile, by means of a multimedia technology and a remote teaching means, the learning results of the students can be comprehensively evaluated. More practical opportunities are provided for students, observation and analysis experience of the students on pathological specimens is increased, and practical operation ability is improved.

The embodiment of the invention provides an insurance product recommendation method and device, electronic equipment and a storage medium, belongs to the technical field of intelligent recommendation, and is suitable for the field of financial science and technology. The method comprises the following steps: acquiring user insurance policy information of an insurance reference user, and acquiring basic user information of a target user; performing information extraction on the user insurance policy information to obtain user insurance information and user credit information; based on the basic user information, performing information query on the user insurance information to obtain user associated insurance information; performing information query on the user credit information based on the basic user information to obtain user associated credit information; based on the user associated credit information, performing credit assessment on the target user to obtain a user assessment category, the user assessment category including a trusted user category; and based on the trusted user category and the user associated insurance information, performing insurance recommendation on the target user. According to the embodiment of the invention, the accuracy of insurance product recommendation can be improved.

The invention discloses a user ability evaluation method, medium and system, and the method comprises the steps: obtaining original answer data, calculating a corresponding score standard deviation, and generating standardized score data; obtaining a user answering behavior log, and calculating a redo rate corresponding to user evaluation based on the user answering behavior log; judging whether a fluctuation factor can be constructed or not; if yes, calculating a fluctuation factor, and generating a normalized vector according to the standardized score data and the fluctuation factor; constructing a fluctuation derivative based on a behavior fluctuation sequence generation mechanism of the sliding window; judging whether the fluctuation derivative meets a dynamic adjustment condition or not; if yes, performing dynamic weighted fusion based on the fluctuation derivative and the normalized vector to obtain a final risk score; and if not, performing static weighted fusion based on the normalized vector to obtain a final risk score. The user capability can be effectively evaluated, the volatility of the user in the evaluation process is effectively evaluated, and the accuracy of the evaluation result is improved.

To provide a method for multilaterally evaluating the skill of registered personnel.SOLUTION: In a user evaluation method for evaluating a user, a system executes an input information receiving step of receiving input information including information on a biography of the user, a question output step of creating a question based on the input information using the input information and outputting the question, a response receiving step of receiving response information from the user regarding the question, and a user analysis step of analyzing a feature of the user based on the input information and the response information and obtaining analysis information of the user.SELECTED DRAWING: Figure 2

Computer implemented biometric methods and systems incorporate sensing biophysical phenomena, translating the phenomena into digital data and transmitting the data to a series of servers operating in an open feedback loop to generate a module. A biometric networking system can include a biometric monitoring cloud computing platform with AI / machine learning augmented models are generated to make user assessments, programs and confidence scores to the healthcare provider systems. The AI / machine learning models can be used by the biometric monitoring network to generate health-related AI processes that analyze relationships treatment techniques and outcomes. AI techniques can be used to calculate movement modeling and confidence scoring including support vector machines, neural networks, and decision trees. The biophysical phenomena may include biometric parameters based on data, such as medical history, exertion, sleep, temperature, cardiovascular events, respiratory events, and muscle and blood pH.

An input device assesses an object in a field of view using multi-wavelength reflectance spectroscopy to determine if the object is an actual user or an artifact. Light sources are operated to illuminate an object. For example, the object may be illuminated with white, violet, and infrared light simultaneously. A spectrometer comprising a plurality of detectors, each with associated wavelength filters determines intensity data indicative of intensity of light of these different colors as reflected from the object. The intensity data is processed to determine whether the object is part of a user or is an artifact. For example, if the object is deemed to be a user, biometric input may be acquired. The biometric input may then be processed to identify the user. The input device may be used at various locations, such as at an entry portal, point of sale, under direct solar illumination, and so forth.

This invention discloses a dual-prevention intelligent interaction system based on a large language model, belonging to the field of artificial intelligence technology. The system includes a large language foundation model, a knowledge base management module, an agent module, a multimodal large model, and an evaluation module. The large language foundation model understands user intent and processes natural language tasks, and provides token processing capabilities for other modules. The knowledge base management module is used to classify, store, and manage professional knowledge, establish indexes based on semantics, and finally store it locally. The agent module analyzes user input, with different workflows encapsulated within different agents to provide personalized services to users. The multimodal large model module receives user-input speech, converts the speech to text, transmits the information description to the agent, generates answers through semantic analysis, and converts the text back to speech to send to the user. The evaluation module establishes an evaluation index system from four perspectives: accuracy, answer relevance, context relevance, and context recall.

This invention provides a method, device, electronic device, and storage medium for mental health intervention. The method includes: acquiring user assessment behavior characteristic data, including consistency scores for answers, reasonableness scores for completion time, and regularity scores for response patterns; determining a credibility index based on the assessment behavior characteristic data, determining a warning level based on the credibility index, and determining a preset first intervention strategy based on the warning level; after the preset first intervention strategy is applied to the user, acquiring user characteristic data and forming a user characteristic vector based on the user characteristic data; assigning a corresponding preset second intervention strategy to the user through a trained classification model and the user's clustering categories for psychological intervention, acquiring intervention effect labels, and stopping the push of the preset second intervention strategy to the user if the levels of several pre-effect labels are lower than the preset label levels. This method can improve the effectiveness of mental health intervention.

1. The name of the design product: electronic device with flow visualization of aerodynamic characteristics calculation graphical user interface. 2. The use of the design product: for an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. Omitted views: the electronic device is a common design, and other views are omitted. 6. The use of the graphical user interface: to help users evaluate, optimize, and understand the aerodynamic characteristics of components through flow visualization technology. 7. The human-computer interaction mode of the graphical user interface: click "movable component" in the view, import the model, and enter interface change state diagram 1; in interface change state diagram 1, click the "flow visualization" button, and enter interface change state diagram 2. 8. Other circumstances that need to be explained: "X" in the interface represents replaceable text, numbers, letters, or symbols.

The present application discloses a big-data-based bank user risk early warning method and device, which relates to the financial field. The method includes: receiving a service handling request submitted by a user; obtaining dynamic data of the user authorized by the user and a third-party institution according to the service handling request; performing data cleaning and data governance on the dynamic data to obtain evaluation data of the user; determining a risk evaluation result of the user according to the evaluation data and a pre-created risk early warning model; wherein the risk early warning model is pre-trained according to the dynamic data of multiple users and corresponding ones. The present application performs user risk assessment based on the dynamic data of the user, solves the shortcoming problem of the existing dynamic assessment method for bank customer risk early warning, and provides a more dynamic, vivid, real-time and highly valuable, brand-new way for user assessment in the process of bank service handling.

A system performs assessment of users based on a simulated meeting. The system stores video segments in a database. The system retrieves an execution plan for a simulated interaction with a user. The execution plan comprises instructions for a plurality of video interactions. Each video interaction comprises either displaying one or more pre-recorded video segments selected from a plurality of pre-recorded video segments or a live video stream of the user. The system repeatedly performs the following steps according to the execution plan of the simulated interaction. The system performs a sequence of video interactions. A video interaction may comprise sending a set of pre-recorded video segments for display via a user interface. In response to the sequence of video interactions, the system performs a second video interaction by recording a live video stream of the user. The system analyzes the simulated interaction to evaluate the user.

The invention discloses a user skill portraying method and system for electric power simulation training. According to the method, user operation behaviors in electric power simulation training are comprehensively collected and analyzed, a multi-dimensional user portrait is generated, dynamic scoring is performed according to actual performance of a user, and finally comprehensive evaluation of user operation capability and skill portrait display are realized. According to the scheme of the invention, more efficient, accurate and fair user evaluation is provided.

A system is provided.SOLUTION: A system comprising: means for acquiring a proposal generated by generation means; means for visualizing the generated proposal using augmented reality technology; and means for evaluating the visualized proposal by a user.SELECTED DRAWING: Figure 1

The invention provides an intelligent mirror, a rehabilitation training system and a rehabilitation training method. The intelligent mirror comprises a mirror surface display module, a camera module, an audio module and a processor. And the processor acquires user disease data through the cloud and / or displays a pathological type through the mirror display module, and acquires the user disease data according to a user instruction. And the processor generates an evaluation item according to the user disease data, issues a corresponding evaluation instruction through the mirror display module and / or the audio module to obtain user evaluation data, and generates an evaluation report. Besides, the processor also generates a training scheme according to the evaluation report, issues a corresponding training instruction through the mirror display module and / or the audio module, obtains a user training action through the camera module and / or the audio module, and generates a training report according to the user training action. Evaluation and training are carried out through the intelligent mirror, a patient can obtain efficient, convenient and personalized rehabilitation experience at home, and occupation of medical resources is reduced.

The present application discloses a change impact assessment method and device based on a knowledge graph. When a change instruction sent by a user is received, the change instruction is parsed to obtain the change subject. From the graph database, a knowledge graph with the same operation and maintenance field as the operation and maintenance field involved in the change subject is selected as the target knowledge graph. From the target knowledge graph, search for entities with the same name as the name of the change subject. From the target knowledge graph, search for other entities that have a semantic association relationship with the entity. Count the number of other entities, obtain a target value, and determine whether the target value is greater than a preset threshold. If the target value is greater than the preset threshold, the user is prompted that the impact of this change is not within the controllable range. Using knowledge graphs to assist users in evaluating the impact of changes avoids incorrect evaluations due to lack of user experience. In addition, using knowledge graphs as the basis for evaluation is more scientific and objective, which improves the reliability of change impact assessments.

The invention relates to a computer-implemented method for determining a time window for operation (TWO) of a garden device (100), in particular a mowing robot (101), a garden tractor (102) or a mower (103). The time window for operation (TWO) is determined according to input data (ID), e.g. weather data, lawn characteristics data and user profile data, by means of a grass growth simulation (201) and / or by means of a trained AI system (202) and proposed to the user for evaluation. Training data (TD) can be generated based on the user evaluation data (UED) in order to train the AI system (202). Improved garden device deployment plans can be generated by training the AI system (202) with the generated training data (TD).

The data-driven cross-domain smart asset knowledge reasoning and value assessment method and system of the present invention relates to the field of smart asset technology, including extracting multi-domain data features of smart assets based on deep learning models, building a cross-domain smart asset knowledge graph; parsing user evaluation goals based on pre-trained language models, retrieving related assets in the knowledge graph, and using attention mechanisms and graph reasoning algorithms for knowledge reasoning; based on the value assessment model trained by reinforcement learning, combined with a time series prediction algorithm, generating a final assessment value and an assessment report containing a confidence interval. The present invention can effectively integrate multi-source heterogeneous data, realize knowledge reasoning and value assessment of cross-domain smart assets, and improve assessment efficiency and accuracy.

We provide the system. [Solution] A means of receiving questions entered by the user, A means for analyzing the aforementioned questions and generating answers, A means of displaying the generated answer, A means for the user to evaluate whether the aforementioned answer is "slightly off" from the question, A means of providing prizes based on the aforementioned evaluation, A system that includes this.

The invention discloses an AI intelligent agent-based test verification evaluation method and a related device, and relates to the technical field of computers, the method comprises the following steps: carrying out structured segmentation on a test evaluation document based on a father-child segmentation mode to obtain a double-layer segmentation structure document; and vectorizing the contents of the sub-blocks to generate a vectorized knowledge base. And calling a data extraction agent based on a data extraction rule, taking a test data management software database as a data source, and extracting test plan, implementation and result information from the document by using a large language model. And based on a test verification evaluation task planning agent, vectorizing user evaluation requirements, and calculating semantic similarity in combination with a vectorization knowledge base to obtain related evaluation algorithm description and test cost accounting standards. And according to the description and the standard, evaluating test verification process sufficiency, progress and cost based on the test verification sufficiency, progress and cost evaluation agent to obtain a test verification evaluation result. The method can quickly obtain the evaluation result, and supports the leader decision.

A system and method for teaching a robot program based on user input. In some embodiments, poses of a posing device manipulated by a user are captured and analyzed. In some embodiments, robot instructions are determined by a machine-learning algorithm that is trained on data concerning previously executed instructions evaluated by a user. In some embodiments, a user-selected process type defines workpiece geometry types for guiding the creation of robot instructions. In some embodiments, an augmented- or virtual-reality user interface is provided for obtaining user input.

Facility management systems, devices, methods, and assemblies are shown and described. In one embodiment, a method of facility management includes delivering a health-related questionnaire to a user that is external a facility. The system receives an input corresponding to the questionnaire to either trigger generating a pre-access boarding pass or a facility denial. A biometric scanning of the user enabled with a boarding pass may then trigger generating an admission acceptance or said facility denial. The result is improved efficient and effective user evaluation prior to facility admission.

1. The name of the design product: electronic device with static model flow visualization aerodynamic characteristics calculation graphical user interface. 2. The use of the design product: for an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best shows the design points: front view. 5. Omitted views: the electronic device is a common design, and other views are omitted. 6. The use of the graphical user interface: to help users evaluate, optimize, and understand the aerodynamic characteristics of components through flow visualization technology. 7. The human-computer interaction mode of the graphical user interface: click "static component" in the front view, import the model, and enter interface change state diagram 1; click "flow visualization" button in interface change state diagram 1, enter interface change state diagram 2; click "display switch" button in interface change state diagram 2, enter interface change state diagram 3; click "streamline" button in interface change state diagram 3, enter interface change state diagram 4. 8. Other circumstances that need to be explained: "X" in the interface represents replaceable text, numbers, letters, or symbols.

A recommendation platform that provides a menu of automated recommendations from on-line information by friends, with various weighting factors, to evaluate businesses. The platform is a software deployable system that amalgamates the candidate businesses into different categories and cross-references friends' experiences with these businesses. The interface utilizes a circular-like menu and is both compact and easily navigable.

Systems and methods are disclosed for reducing error in the measurement of a user's blood pressure with a physiological monitoring device that includes a sensor assembly with a PPG module and a pressure sensor module. Exemplary methods include the steps of placing a finger on the physiological monitoring device such that the finger is in contact with the sensor assembly, instructing the user to apply a range of pressures to the pressure sensor module during a measurement cycle, creating a measured oscillometric curve based on the PPG data and pressure sensor data retrieved during the measurement cycle, and determining whether the measured oscillometric curve is based on unreliable or incorrect data before calculating the user's blood pressure from the measured oscillometric curve.

The invention relates to a method and device for generating a recommendation to correct a configuration file of an infrastructure within a computer environment in which services are run, said infrastructure having been automatically deployed from said configuration file, comprising: 16. Obtaining (E1) an execution report including a conformity anomaly detected in the configuration file during the execution of said service; 17. Presenting (E5) a request to correct the anomaly as input to a previously trained generative artificial intelligence model, and obtaining (E6) as output a recommendation to correct the configuration file; 18. Validating (E7) the recommendation to correct the configuration file including determining a similarity measure with respect to said context information and comparing it to an acceptability threshold; 19.When the similarity measure is validated, the (E8) recommendation to correct the configuration file is submitted for evaluation by a user.

[PROBLEM] Assist a user in evaluating measures without imposing an excessive burden on the user. [SOLUTION TO PROBLEM] A server plots a result of evaluating a plurality of measures by a plurality of evaluation items (FIG. 4(a)) in an evaluation value space having the plurality of evaluation items as coordinate axes (FIG. 4(b)), coordinate-transforms the evaluation value space by setting a weight for each of the plurality of evaluation items based on values information of a user (FIG. 4(c)), extracts a plurality of pairs of measures based on degrees of similarities of the plurality of measures in the coordinate-transformed evaluation value space (FIG. 4(d)), and creates a goodness distribution chart in the evaluation value space (FIG. 4(e)) based on results of relative evaluation by the user of goodness or badness between the measures included in each extracted pair, and transmits the chart to the user terminal.

Content related to the evaluation subject will be provided according to the impact that the added elements have on the evaluation of the evaluation subject. [Solution] The information processing device according to the present invention is characterized by having an estimation unit that estimates an additional object whose influence on the evaluation of the evaluation subject by a predetermined user satisfies predetermined conditions, based on a first evaluation which shows an evaluation from an evaluator for first target information which is information that shows only the evaluation subject, and a second evaluation which shows an evaluation from an evaluator for second target information which shows additional objects along with the evaluation subject, and a provision unit that provides content related to the evaluation subject to the user based on the additional objects estimated by the estimation unit.