6 results about "Psychological testing" patented technology

The invention discloses a fusion mode health physical examination psychological test system, which belongs to the technical field of psychological test and comprises a physical examination data acquisition module, a psychological test module, a multi-modal data fusion module, a result analysis module and a user interaction module. The physical examination data acquisition module is used for acquiring physiological health data of a user, including physical sign data, laboratory examination data and image examination data; the psychological test module provides a plurality of standardized psychological assessment scales; the multi-modal data fusion module is used for performing feature alignment and information fusion on the physiological health data acquired by the physical examination data acquisition module and the psychological test original data generated by the psychological test module, performing fusion analysis on the physiological health data and the psychological test data through the multi-modal data fusion module, and mining the relevance between the physiological health data and the psychological test data; the problems that traditional physical examination and psychological testing are independent and evaluation is not comprehensive are solved, and more complete health condition cognition is provided for the user.

The invention discloses a strain capacity testing device, and relates to the technical field of psychological testing, the strain capacity testing device comprises a display mechanism and a testing mechanism arranged at the top of the display mechanism and used for testing individuals, the back surface of the display mechanism is fixedly connected with an intelligent monitoring mechanism, and the intelligent monitoring mechanism comprises a mounting plate; a clamping groove is formed in one side of the mounting plate, and a group of rotating shafts are rotationally connected to the interior of the mounting plate; the intelligent monitoring mechanism is arranged, various sensors are used for capturing physiological and behavior signals of a testee, the response time and accuracy of cognitive response capacity and behavior strain capacity detected by the testing mechanism are matched, physiological indexes generated during strain are dynamically monitored, detection data are summarized, and the detection accuracy is improved. Visual data, infrared data and physiological data are integrated, a comprehensive evaluation model of psychological stress, aggressive tendency and the like is constructed, the test result is more authentic and objective, and the strain capacity and psychological changes of a testee are comprehensively reflected.

This application discloses an unattended multi-channel psychological and cognitive testing method, device, and electronic equipment, relating to the field of psychological testing equipment technology. The test subject can autonomously complete a formal test according to standardized guidelines without questioning by professional testers. Simultaneously, multi-modal physiological data obtained from the test subject's multi-dimensional physiological responses are recorded and analyzed, reducing the limitations of psychological testing and ultimately achieving objective, efficient, and accurate psychological assessment even without questioning by professional testers or when the testers' professional level is limited.

The invention provides a cognitive ability evaluation system and method suitable for a plateau hypoxia environment, and relates to the technical field of cognitive and psychological testing. Comprising a cloud server, an APP test unit, an external portable monitor and a user client. The cloud server is used for generating a cognitive competence assessment task and a questionnaire according to the personal information of each tested user, the altitude environment information and a seven-point scale subjective evaluation method; the APP test unit is used for receiving the cognitive competence assessment task and the questionnaire, obtaining a first test result and a second test result, and obtaining the heart rate and the blood oxygen saturation of each tested user by using an external portable monitor; the cloud server is further used for performing analysis according to the first test result, the second test result, the heart rate and the oxyhemoglobin saturation and generating a test report; and the user client is used for displaying the test report. The special requirements of the plateau anoxic condition can be effectively met, and the oxygen supply strategy in the plateau anoxic environment is further optimized.

A psychological test interpretation method according to one embodiment of the present invention may comprise the steps of: acquiring psychological test data including a scale for a plurality of parameters; extracting, on the basis of the psychological test data, parameters of which the scale is greater than or equal to a first reference value and an interpretation index for the parameters of which the scale is greater than or equal to the reference value; determining an interpretation code on the basis of the parameters of which the scale is greater than or equal to the first reference value and the interpretation index; and providing interpretation content on the basis of the interpretation code.

This invention discloses an automatic simplification method and system for psychological scales based on word embedding and deep learning. It primarily employs word embedding technology to semantically vectorize each item and all item texts of the original psychological scale, obtaining item vectors and a set vector of all items. The semantic similarity between each item vector and the set vector is calculated and defined as the semantic discriminant of the corresponding item. A simplified scale is generated by ranking the items according to their semantic discriminant scores. The simplified scale is then administered to the target group, and the item discriminant, reliability, and validity indices are analyzed to complete the validation of the reduced psychological scale. This invention combines semantic modeling techniques from natural language processing with nonlinear modeling from deep neural networks, overcoming the problem that traditional methods cannot consider item-related aspects semantically. It ensures the integrity of the scale's theoretical dimensions and can be widely applied to various scenarios, including the construction of large-scale psychological assessment systems for different groups and the development of intelligent psychological testing tools.