52 results about "User assessment" patented technology

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

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.

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.

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.

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.

[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.

The invention discloses a time estimation method and device, electronic equipment and a computer readable medium, and relates to the technical field of computers, one specific implementation mode comprises the steps that in response to a time estimation request, a corresponding link identifier is acquired, and corresponding entity information is determined according to the link identifier; extracting dimension features in the entity information on the basis of a preset dimension, performing feature derivation on the dimension features on the basis of a preset derivation direction to generate derived features, and determining an evaluation index value on the basis of the dimension features and the derived features; according to the evaluation index value, determining pre-estimation completion time; determining expected completion time according to the estimated completion time and a preset threshold value; wherein the preset threshold value is determined based on the historical order average completion time. Therefore, the accuracy of estimating the task completion time can be improved, and the expected completion time determined according to the estimated completion time can be used as a user assessment basis, so that the user service processing efficiency is improved, and the labor cost is reduced.

The invention provides a perioperative period management method based on a doctor side and related equipment, and is applied to the technical field of data processing. The method comprises the following steps: receiving target user evaluation information, a preset eye early warning model and a training sample set sent by a doctor terminal; processing the training sample set based on a preset processing rule to generate a target training set and a target verification set; processing a preset eye early warning model based on the target training set and the target verification set to generate a target eye early warning model; processing the target user evaluation information based on the target eye early warning model to generate eye high-risk label information of the target user; processing the eye high-risk label information of the target user to generate preoperative evaluation information; the target user is processed based on the preoperative evaluation information, and intraoperative early warning information is generated; and processing the preoperative evaluation information and the intraoperative early warning information to generate postoperative early warning information.

The invention provides an artificial intelligence education planning and matching method and system, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining a skill portrait and target post information of a target user in response to an occupational planning request; querying and extracting a corresponding target skill set from a preset post skill reference library, calculating a mastery degree difference between the skill portrait and the target skill set to obtain a skill difference list, obtaining a planning skill learning sequence based on the skill difference list and a preset skill constraint rule set, and obtaining a planning skill learning result; on the basis of the skill learning sequence and the skill portrait of the target user, the corresponding post is matched from the post skill reference library, and the occupational planning path is generated, so that the problem that the skill gap and the real-time post demand are difficult to accurately quantify due to dependence on a static database and subjective single user evaluation in the existing scheme is solved; the technical problem is solved, and the method and the device have the effect of improving the career planning accuracy.

The system generates noise masks based on user feedback for the vehicle. [Solution] In the system 10, the server includes a determination unit 110 that determines assumed noise features based on vehicle information and an evaluation mask supply unit 120 that supplies at least one first noise mask for evaluation based on the assumed features. The vehicle-side device includes an evaluation acquisition unit 190 that acquires user evaluations for each of the first noise masks for evaluation and a second mask generation unit 160 that generates a second noise mask to be used during actual vehicle operation according to the user evaluation. The evaluation mask supply unit includes a first mask generation unit 122 that generates a plurality of first noise masks, a cluster unit 124 that determines the features of each of the plurality of first noise masks and clusters them into a plurality of clusters based on the respective features, and a selection unit 126 that selects at least one first noise mask for evaluation from the clusters corresponding to the assumed features among the plurality of clusters.

A method includes providing one or more instructions to perform a first action associated with administration of a medication; obtaining first data representing a capture of a patient performing the first action based on the one or more instructions as output by the output device; extracting information about movements of the patient from the first data; presenting an image configured to induce an emotional response in the patient; obtaining second data representing capture of the patient performing one or more microexpressions in response to presentation of the image; obtaining additional data including one or more of demographic information of the patient, information of a disease associated with the patient, or one or more characteristics of the medication; and based on the extracted information about the movements, the one or more microexpressions, and the additional data, determining a medical outcome including a progression of the disease in the patient.

This application discloses an AI-based experimental verification and evaluation method and related apparatus, relating to the field of computer technology. The method includes: structurally segmenting experimental evaluation documents based on a parent-child segmentation pattern to obtain a two-layer segmented document structure; vectorizing the content of its sub-blocks to generate a vectorized knowledge base; invoking a data extraction agent based on data extraction rules, using an experimental data management software database as the data source, and extracting experimental plan, implementation, and result information from the document using a large language model; vectorizing user evaluation needs based on an experimental verification and evaluation task planning agent, calculating semantic similarity using the vectorized knowledge base, and deriving relevant evaluation algorithm specifications and experimental cost accounting standards; and evaluating the sufficiency, progress, and cost of the experimental verification process based on the specifications and standards using an experimental verification sufficiency, progress, and cost evaluation agent to obtain the experimental verification evaluation results. This application can quickly obtain evaluation results, supporting leadership decision-making.

A system is provided.SOLUTION: A system comprising: means for collecting behavior information of animals by using sensors; means for transmitting the collected behavior information to a server; means for analyzing the behavior information by using a generative AI model in the server to evaluate health conditions and behaviors of the animals; and means for notifying a user of evaluation results.SELECTED DRAWING: Figure 1

The invention provides a personalized emotion support system evaluation method based on user internal world simulation, which is applied to the technical field of artificial intelligence, and comprises the following steps: through a user thinking agent, after an emotion support system generates a system reply based on a user portrait, according to the current dialogue history, the user portrait and the system reply; updating a user internal state corresponding to the user portrait; generating a natural language reply to an emotion support system through a user dialogue agent based on the updated user internal state and the updated user portrait, and performing a next round of dialogue with the emotion support system until multiple rounds of dialogues are completed, so as to obtain a complete dialogue history and a user internal state track; and through the user evaluation agent, based on the complete dialogue history and the user internal state track, scoring the response of the emotion support system in a preset dimension to obtain an evaluation result. According to the invention, automatic, reproducible and fine-grained evaluation of the personalized support capability of the system can be realized.

This invention provides an information processing device, an information processing method, and a program that enhance the information available to help users assess the reliability of forecasters and promote their voting behavior. [Solution] The information processing device includes a reception unit that receives a first operation from a first user to specify a predictor who has published predictions regarding the results of a competition, and a display control unit that, when the reception unit receives the first operation from the first user, displays information on the first user's terminal that identifies a second user who voted based on the predictions of the predictor specified by the first operation.

A method for stroke detection is provided. A data capture module captures input data from a plurality of sensors, in response to user assessment instructions for a person to look at one or more camera, perform one or more arm exercises, and perform one or more speech acts. A perception module generates summaries of the input data corresponding to artifacts associated with one or more machine learning models. A classification module accepts as input the input data from the data capture module and the summaries from the perception module. Based on the input data and the summaries, a classification module assigns a stroke classification label and a corresponding probability. The classification module outputs a recommendation according to the stroke classification label and the corresponding probability.

A data processing system and methods for evaluating an operational condition of an asset are described. The asset is one of a plurality of assets that are monitored by a condition monitoring system. The condition monitoring system automatically issues alert messages based on the operational condition of the monitored assets. The methods use a trained large language model to generate output messages that provide a summary of contextually relevant content from feedback from previous alert messages in order to assist a user in evaluating an operational condition of an asset.

The invention relates to the technical field of glasses, and discloses a glasses comfort assessment method and device, electronic equipment and a computer readable storage medium, and the method comprises the steps: obtaining the assessment parameters of glasses, the assessment parameters including a physiological assessment parameter, a dynamic assessment parameter, an optical assessment parameter and a user assessment parameter; determining a plurality of evaluation dimensions of the glasses according to the physiological evaluation parameters, the dynamic evaluation parameters, the optical evaluation parameters and the user evaluation parameters; obtaining first weights corresponding to the plurality of evaluation dimensions, and scoring the glasses according to the first weights, the physiological evaluation parameters, the dynamic evaluation parameters, the optical evaluation parameters and the user evaluation parameters to obtain an initial comfort score; and the feedback information of the target user on the glasses is identified based on the preset evaluation model, and the initial comfort score is adjusted according to the feedback information to obtain the target comfort score of the target user on the glasses, so that the accuracy of glasses comfort evaluation is improved, and the visual fatigue of the user when using the glasses is reduced.

In certain aspects of the disclosure, a computer-implemented method includes receiving a selection of a model from a plurality of models running on an ecosystem. The method includes receiving annotated datasets with correct examples and incorrect examples. The method includes training, responsive to receiving the annotated datasets, the model based on the annotated datasets. The method includes running the model based on the training. The method includes receiving a feedback score of results from running the model based on the annotated datasets. The method includes iteratively running, until the feedback score is above a predetermined threshold, the model responsive to user evaluation of the results from running the model based on the annotated datasets. The method includes publishing the model responsive to the feedback score being above the predetermined threshold.