29 results about "Questionnaire study" patented technology

The invention relates to a teenager mental health screening system and a teenager mental health screening method, and the system comprises a virtual sand table construction module which provides more than five hundreds of editable three-dimensional models of eight categories and supports 360-degree rotation, zooming and deformation operation; the dynamic environment simulation module is used for realizing dynamic switching of scenes; the interactive question and answer engine generates a self-adaptive question bank based on the sand table works of the user; the subconsciousness of the user is projected by making the model on the sand tool, the problem that the user can subjectively mask the meaning of the answer of the question in the traditional questionnaire survey can be avoided, the depth of the question is adaptively adjusted according to the complexity of the model created by the user in cooperation with an interactive question and answer engine, and the user experience is improved. The real thought of the user is deeply mined, an AI analysis engine is combined with a built-in psychological health knowledge graph, a correlation model combination and a psychological feature mapping relation to automatically analyze models and questions and answers, and the screening efficiency is greatly improved.

To efficiently link viewing of a video related to, for example, a seminar with attracting customers.SOLUTION: The present invention relates to a server device including a control unit 11, controlling operations to distribute common task videos, execute questionnaires, distribute a next task video on the basis of results of the questionnaires, perform evaluation on the basis of points assigned corresponding to the distributed task videos, distribute proposal videos on the basis of results of the evaluation, execute questionnaires, and prompt appointments. The present invention also relates to a video viewing system and a method for viewing a video, using the server device.SELECTED DRAWING: Figure 2

The invention discloses a questionnaire survey analysis processing system based on different industries, and relates to the technical field of data analysis processing. A questionnaire keyword extraction module extracts keyword data of a target questionnaire; the practitioner feature database pre-stores practitioner feature elements and keyword elements involved by practitioners in historical questionnaires; the keyword data and the keyword elements are sent to an element matching module, and practitioner feature elements are sent to an association degree calculation module; matching the keyword data with the keyword elements by utilizing an element matching module to obtain a matching result; and the association degree calculation module calculates the association degree between the practitioners and the target questionnaire keyword data according to the matching result and the practitioner feature elements, and screens the target practitioners based on the association degree. According to the method, accurate matching of target practitioners is realized, the content of invalid samples is reduced, and the conclusion credibility is improved.

1. The name of this design product: Questionnaire machine. 2. Purpose of this design product: for questionnaire survey. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1.

To reduce costs, shorten survey time, and improve reliability of questionnaire surveys.SOLUTION: An information processing device 1 is connected to a service server 3 such as an SNS server, a questionnaire survey request terminal 4, and a generative AI 2 via a communication line. The information processing device comprises: means for receiving a questionnaire survey request from an information processing terminal; means for collecting, from the server, data on a plurality of posted texts posted to a service such as an SNS service by a plurality of users; feature quantity calculation means for calculating a content-based feature quantity for each of the questions and the plurality of posted texts; means for comparing the feature quantities of the posted texts with the feature quantities of the questions, and extracting a posted text for each user; means for generating a prompt for requesting that answers to the questions be generated for each user on the basis of the extracted posted text; means for transmitting the prompt to a generation device; means for receiving, from the generation device, data on the answers generated in accordance with the prompt by the generation device; and means for transmitting the received answers and a result of aggregation to the information processing terminal.SELECTED DRAWING: Figure 1

1. Name of the product in this design: Questionnaire Survey Machine. 2. Purpose of this design: For use in questionnaire surveys. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

A system is provided.SOLUTION: A system comprising: means for collecting historical behavior data of a user; means for analyzing the historical behavior data and generating a profile of the user; means for generating a plurality of user copies based on the profile; means for conducting a virtual interview or questionnaire on the user copies regarding a new service or a new function; means for aggregating and analyzing results of the interview or questionnaire; and means for feeding back the results.SELECTED DRAWING: Figure 1

The application provides a questionnaire summary method and device, a server and a storage medium. The method is applied to the technical field of questionnaire investigation. The method comprises the following steps: determining a plurality of topic questions matched with at least one preset topic field from a plurality of candidate questions, wherein the plurality of candidate questions come from a plurality of candidate questionnaires to be summarized; mapping a selected option of each topic question to a preset option of a preset question, wherein the preset question has a corresponding relationship with the at least one preset topic field; and determining the distribution of a plurality of preset options of the preset question based on the mapping relationship between the selected options of the plurality of topic questions and the plurality of preset options of the preset question. The method can summarize the plurality of candidate questions to be summarized into a plurality of topic questions, map the selected options of the topic questions to the preset options, and obtain the distribution of the plurality of preset options of the preset question, which is beneficial to analyzing the investigation results of a large number of questionnaires and improves the efficiency of questionnaire summarization.

A system is provided.SOLUTION: A system comprising: means for receiving a user's information and creating a user account; means for generating and providing a questionnaire to the user regarding the user's learning style and interests; means for analyzing the results of the questionnaire and generating a customized learning plan for each user using an artificial intelligence engine; means for providing the customized learning plan and related content to the user; means for collecting the user's learning progress in real-time and recording it in a database; and means for recommending what to learn next based on the learning progress.SELECTED DRAWING: Figure 1

An embodiment of the present application provides a method, device, computer device, and storage medium for generating a questionnaire survey report. The method includes: obtaining a dataset of subjective question answers for a questionnaire, where the dataset contains N original answer texts; extracting keywords from each original answer text to obtain an initial keyword set, and constructing multiple word communities based on this set, each word community containing and associating a core word; constructing a keyword association network based on the core word and the number of original answer texts jointly covered by different core words; clustering the multiple word communities into P semantically aggregated multi-word communities, where P < N; selecting representative texts for each word community or multi-word community and inputting them into a preset large language model to generate refined texts for each community; inputting the refined texts into the large language model to generate an overall report of the questionnaire survey, realizing effective compression of a large number of questionnaire messages and complete report analysis of a large amount of data.

An information processing device 1 is connected to a service server 3 such as an SNS server, a questionnaire survey request terminal 4, and a generative AI 2 via a communication line. The information processing device 1 comprises: a means for receiving a questionnaire survey request from an information processing terminal; a means for collecting, from the server, data of a plurality of posted texts posted by a plurality of users to a service such as SNS; a feature quantity calculation means for calculating a content-based feature quantity for each of the questions and the plurality of posted texts; a means for comparing the feature quantities of the posted texts with the feature quantities of the questions, and extracting a posted text for each user; a means for generating a prompt for requesting that answers to the questions be generated for each user on the basis of the extracted posted text; a means for transmitting the prompt to a generation device; a means for receiving, from the generation device, data of the answers generated in accordance with the prompt by the generation device; and a means for transmitting the received answers and the result of aggregation to the information processing terminal.

The present invention relates to a method, device, medium and equipment for automatically generating procurement demand standards. The generation method includes setting up a questionnaire survey database, inputting the questionnaire survey content into the questionnaire survey database in advance, randomly grabbing questionnaire questions related to a certain commodity type to generate questionnaire information and sending it to multiple suppliers, obtaining procurement demand standard information based on the question and answer data, and then storing the procurement demand standard information in correspondence with the commodity type. By setting up a questionnaire survey database and using the questionnaire survey method, the collection of supplier corresponding commodity information is achieved, and then by aggregating the commodity information of multiple suppliers of the same commodity type, the approximate procurement demand standard information of the commodity type is divided and stored in the corresponding commodity type, thereby realizing a full online formulation process of commodity procurement demand standard information, improving the efficiency of formulating commodity procurement demand standard information, and also reducing the risks of errors, omissions, and misinputs in manual screening, saving manpower and material resources.

We provide the system. [Solution] Online registration methods for users to enter information, A means of providing users with questionnaires regarding stress and loneliness, A means of evaluating the survey results and providing a list of counselors as needed, A means of scheduling an appointment with a counselor, A means of collecting information on users' educational intentions and financial situation, and contacting the welfare department of the local government, A means of providing users with information to support their college applications and assisting them with the application process, A system that includes this.

The invention relates to an individual interpersonal contact number prediction method, system and device and a storage medium. The method comprises the following steps: obtaining questionnaire survey data of individual resident travel activities and interpersonal contact; extracting individual attribute features and travel activity features of individual residents from the questionnaire survey data; constructing and training an individual interpersonal contact mode prediction model by applying a machine learning algorithm based on the demographic features and the travel activity features; and performing individual interpersonal contact number prediction by using the trained individual interpersonal contact mode prediction model, and outputting an individual interpersonal contact number prediction value. According to the method, the dynamic travel activity features and the static demographic attributes are fused, and machine learning modeling is utilized, so that refined individual behaviors can be captured, the number of individual contact persons can be more reliably predicted, and the assessment accuracy of the disease transmission risk is improved.

A system is provided.SOLUTION: A system, comprising: means for collecting questionnaire response information related to a task desired by a graduate and an existing employee; means for transmitting the questionnaire response information to a server; means for preprocessing the collected questionnaire response information and converting the questionnaire response information into a format suitable for analysis; means for inputting the preprocessed information into a generative AI model and generating a task proposal; means for evaluating the generated task proposal and selecting an appropriate proposal; means for presenting the selected task proposal to a user; and means for storing the user's selection in the server.SELECTED DRAWING: Figure 1

1. Name of the design product: Graphical user interface for MDR-TB patient questionnaire used in electronic devices. 2. Use of the design product: An electronic device. 3. Design key points of the design product: Lies in the graphical user interface. 4. Picture or photo that best shows the design key points: Variation state diagram. 5. The electronic device is of conventional design, and the rear view, left view, right view, top view, and bottom view are omitted. 6. Use of the graphical user interface: Used for the operation of MDR-TB patient health questionnaire survey. 7. Human-computer interaction method of the graphical user interface: Input information or select answers according to the interface content, and enter the next interface after clicking the submit button. 8. Explanation of the variation state of the graphical user interface: The main view is the initial interface; after entering the correct login information and clicking the submit button, enter the variation state diagram.

This information processing system comprises a control unit. The control unit transmits, to a user terminal, a purpose input screen for inputting a purpose of a questionnaire survey including at least one qualitative question item and a purpose of the qualitative question item, creates purpose information indicating the purpose for each qualitative question item in response to an input from the user terminal to the purpose input screen, and inputs the qualitative question item and the created purpose information to a generative AI to generate a chat prompt for obtaining an answer to the qualitative question item in line with the purpose through a chat between the generative AI and an answerer.

The application discloses a kind of sampling questionnaire survey auxiliary devices, it is related to questionnaire survey technical field, the present application includes support plate, the front of the support plate is equipped with placing groove, the front of the support plate is fixedly connected with bottom block at placing groove side, the top of the bottom block is fixedly connected with top shell, the back of the support plate is fixedly connected with first shaft support block at bottom block below one end, the back of the support plate is fixedly connected with second shaft support block at bottom block below other end.The present application, by the setting of support plate, placing groove and marking mechanism, successfully realizes the use of a questionnaire, can complete the whole sampling questionnaire survey, greatly saves paper, avoids waste, so that the device is more environmentally friendly, while realizing double inspection, greatly enhances the accuracy of sampling questionnaire survey, structure is ingenious, efficient, easy to operate, and is suitable for promotion.

The invention discloses a questionnaire survey method and system, and the method comprises the steps: standardizing a questionnaire into three-level objects, namely question groups, questions and options, in a design process; questions are abstracted and standardized into a series, and each question type corresponds to a measurement level by default; the objects in the questionnaire are connected through a standardized logic controller and a sequence controller; objects in the questionnaire have a series of attributes, statistical analysis results can be automatically generated through an analyzer, and visualization is achieved. According to the questionnaire survey method and system, conditions are created for whole-process automation of questionnaire survey (questionnaire generation by AI, logic and sequence definition by natural language, automatic analysis and visualization, and report generation by AI), and various high-complexity requirements can be met.

The present invention belongs to the field of artificial intelligence technology, and specifically relates to an MBTI intelligent questionnaire method, system and personality analysis device based on MindSpore. The solution uses the MBTI scale to analyze the user's personality type. In order to collect the user's answers to various questions in the MBTI scale, the present invention first captures the user's historical behavior data on the Internet, and then analyzes the user's relevant data through a large language model to determine the answers to some questions in the MBTI scale. Then, based on the remaining questions and the user's interests and hobbies, topics are organized, and a continuous dialogue is conducted with the user using an AI dialogue tool. The user's answers to the remaining questions are learned through the dialogue with the user. Finally, the user's personality type is classified based on the feature information corresponding to the answers to all the questions collected. The present invention solves the problem that the existing questionnaire survey method is easily affected by the social desirability effect and fatigue effect, and the evaluation results are inaccurate.

The application relates to the technical field of computer application, and provides a question and answer interaction method and device combined with facial expressions of characters. The purpose is to solve the problem that direct transcoding and merging processes in the existing scheme can significantly affect performance. The main scheme comprises the following steps: collecting facial expressions of users when the users answer questionnaire problems, obtaining facial expression images of a plurality of users, cutting the horizontal side and the vertical side of each facial expression image, then performing aggregation to obtain a sub-image, performing information extraction on all user facial expression sub-images to obtain an expression hidden representation vector; using a nonlinear function to perform mapping to obtain three types of emotions, obtaining branch fixed texts corresponding to all emotion categories, using a BERT model to respectively encode the fixed texts, user labels and original texts of the questionnaire problems to obtain hidden vectors, using a weight modification coefficient to map the obtained hidden vectors to a question space, and the next most suitable question can be obtained.

The invention relates to a questionnaire survey method and device, computer equipment, a storage medium and a program product. The method comprises the following steps: acquiring a service scene, a service contact, travel information and target object feature information of a target object; based on the service scene, the service contact, the travel information and the target object feature information, determining a target questionnaire template and a target investigation question corresponding to the target object; generating a target questionnaire corresponding to the target object based on the target questionnaire template and the target investigation question; determining a target sending path of the target questionnaire, and sending the target questionnaire to the target object through the target sending path; and receiving a questionnaire result corresponding to the target questionnaire. By adopting the method, the flexibility of questionnaire survey can be improved.

The invention discloses an electronic questionnaire survey data processing method and system, and the method comprises the steps: uploading a designed questionnaire template to a system database to build a standardized question bank, and distributing the designed questionnaire template to a designated institution or individual for data collection; inputting the collected questionnaire data to form a standardized questionnaire information database, and auditing the questionnaire data through a data auditing mechanism in the inputting process; performing data cleaning on the questionnaire data with invalid values or error values, wherein data cleaning modes comprise value replacement, keyword matching and rule matching; and performing single-dimensional analysis or multi-dimensional analysis on the cleaned questionnaire data, summarizing the questionnaire data to generate an analysis result, exporting the analysis result according to a set format, and presenting the analysis result in a set form. The problems that in traditional questionnaire processing, data preparation is tedious, efficiency is low, analysis and report generation is not timely and inaccurate, and value is limited are solved.

The present invention provides a customized product providing method comprising the steps of: collecting questionnaire answer information and an image provided by a user after receiving questionnaire survey information and image request information in order to diagnose any one or more of the skin, scalp, health condition, and hobbies of the user; generating a diagnosis result of any one or more of the skin, scalp, health condition, and hobbies of the user on the basis of the questionnaire answer information and the image; a step of generating and providing recipe information for manufacturing a user-customized product with respect to the diagnosis result; and a step of transmitting, to a product manufacturing apparatus, the user-customized product manufacturing instruction signal including the recipe information including a raw material recommended by a diagnosis code including the diagnosis result and a raw material code including raw material information, on the basis of a user-customized product purchase signal received from the user.

A system is provided.SOLUTION: A system comprising: means for automatically acquiring comment data from a questionnaire system; means for pre-processing the comment data; means for summarizing the pre-processed comment data; means for analyzing an emotion of the summarized comment data; means for accumulating the analysis result in a database; means for analyzing a transition with past data based on the accumulated data; means for analyzing a tendency of an individual respondent; and means for presenting a next action from the analysis result.SELECTED DRAWING: Figure 1

The invention discloses a process evaluation method based on HDBSCAN clustering and a large language model, and the method comprises the steps: decomposing each expert questionnaire into the data of each evaluation index according to the characteristics of a project and the opinions of experts: the first questionnaire and the first evaluation index of the first questionnaire; the feature vector of each evaluation dimension of each evaluation index is constructed, the evaluation dimension is the first evaluation dimension of the first evaluation index of the first questionnaire, and the evaluation dimensions comprise the expert working age, the traditional process score and the intelligent construction process score. Complicated descriptive texts and a large number of expert questionnaire tables can be integrated to generate scientific and comprehensive process evaluation results and optimization suggestions, the logical reasoning ability of LLM on specific scene complex corpora is enhanced, and the LLM input length limitation is overcome.

Under the hypothesis that users having a certain specific thinking tendency will gather in a certain location in response to a property or characteristic of said location, thinking tendency data (referred to as correct answer data) indicating a comparatively accurate thinking tendency is acquired regarding a small number of users and using the method of a questionnaire, test, diagnosis, or similar, and the thinking tendency data (referred to as assignment data) corresponding to such correct answer data is assigned to a location that has been visited by a user possessing this correct answer data. Then, when a user who does not possess correct answer data visits the location to which the assignment data has been assigned, thinking tendency data (referred to as inference data) corresponding to the assignment data that was assigned to said location is allocated to said user. It thus becomes possible to infer the thinking tendencies of a large number of users, even without implementing a questionnaire or the like among said users.

To provide a technology that utilizes the results of personality tests on other personnel to help them make better use of their personnel. [Solution] An information processing device 1 can perform various types of personality estimation using questionnaire response results, image data obtained by photographing a face, image data obtained by photographing the upper body or the entire body, and genome analysis results as personal information for personality estimation. For the personality of any of the subjects for whom personality estimation has been performed, a distribution specification unit 1C and a position calculation unit 1D calculate the relative position of the subject relative to a group of subjects for which the subject is assumed, such as subjects belonging to an organization or a divisional unit of an organization (e.g., a department). This allows the personality of any subject to be understood as their relative position within the assumed group.