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Cognition accuracy analysis method for personality trait value test

An analysis method and accuracy technology, which is applied in the field of cognitive accuracy analysis of the personality trait value test, can solve the problems of single test material and inability to rule out test errors, and achieve the effect of improving test quality and accurate personality trait value

Active Publication Date: 2015-11-04
BEIJING HUANDU INST OF WISDOM MIND TECH LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the test material of this patent is single, and the test error caused by the influence of the living environment cannot be ruled out.

Method used

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  • Cognition accuracy analysis method for personality trait value test
  • Cognition accuracy analysis method for personality trait value test
  • Cognition accuracy analysis method for personality trait value test

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0048] The sample model with cognitive dimension is the normal distribution model. like figure 2 As shown, the sample model is divided proportionally from left to right in the normal distribution model as poor (5%), poor (20%), general (50%), good (20%), very good (5%) five grades. The cognitive accuracy of the cognitive dimension can be determined by determining the distribution position of the cognitive parameters in the normal distribution diagram.

[0049] For example, the stimulus information is: "I am usually a very active person."

[0050] The feedback information of testers can be divided into five levels: "very inconsistent, relatively inconsistent, uncertain, relatively consistent and very consistent", of which 1 point is scored for very inconsistent, 2 points for relatively inconsistent, and 3 points for uncertain , 4 points for relatively conforming, 5 points for very conforming, (R) is a reverse question, 5 points for very inconsistent, 4 points for relatively...

Embodiment 2

[0064] In this embodiment, a hidden Markov model is used as a statistical model to establish a sample model of at least one cognitive dimension. Hidden Markov Model (HMM) is a statistical model used to describe a Markov process with hidden unknown parameters. are the implicit parameters that determine the process from the observable parameters. These parameters are then used for further analysis.

[0065] Hidden Markov model (HMM) can be described by five elements, including 2 state sets and 3 probability matrices:

[0066] 1. Hidden state S

[0067] These states satisfy the Markov property, which is the state actually implied in the Markov model. These states are usually not available through direct observation. (e.g. S1, S2, S3, etc.)

[0068] 2. Observable state O

[0069] Associated with the implicit state in the model, it can be obtained through direct observation. (For example, O1, O2, O3, etc., the number of observable states does not have to be the same as the n...

Embodiment 3

[0110] A sample model is established for the eye track features and sound wave features of the sample personnel. The tester's eye track features and sound wave features are tested separately, and the cognitive parameters of each cognitive dimension obtained from the eye track feature and the cognitive parameters of each cognitive dimension obtained from the sound wave feature are respectively obtained. Analysis of the same cognitive dimension, the weighted average of the cognitive parameters obtained from the eye track features and the cognitive parameters obtained from the acoustic wave features, that is, the obtained total cognitive parameters. Comparing the total cognitive parameters of a certain cognitive dimension with the distribution area of ​​the cognitive parameters of the sample model to obtain the cognitive accuracy of the testers.

[0111] The method of measuring cognitive parameters from eye track features is described.

[0112] The eye movement track images of t...

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Abstract

The invention relates to a cognition accuracy analysis method for a personality trait value test. The method is characterized by comprising the steps of building at least one cognitive dimension of sample model on the basis of at least one statistic model; stimulating a to-be-tested person in a manner of presenting a scene comprising at least one piece of stimulation information; monitoring or collecting physiological information and / or feedback information of the to-be-tested person to carry out statistics and form at least one cognitive dimension of cognition parameter; and comparing the cognition parameter with cognition parameter distribution of the sample model so as to obtain the accuracy of the cognitive dimension. The analysis method overcomes the defects of single test material and environment influence errors, improves the quality of the personality trait value test, and can obtain an accurate personality trait value.

Description

technical field [0001] The invention relates to the technical field of testing, in particular to a cognitive accuracy analysis method of a personality trait value test. Background technique [0002] Personality traits refer to the psychological structure that can trigger people's behavior and actively guide people's behavior among the factors that make up personality, and make individuals respond to different types of stimuli in the same way. At present, personality prediction methods on the Internet generally adopt the form of answer sheets based on text. Although the personality prediction method of the text answer sheet has a wealth of research results, such as the Big Five personality test (Big Five), Cattell 16 factor personality test (Sixteen Personality Factor Questionnaire, 16PF) and so on. However, in this way, users need to spend a lot of time to answer questions. The time required for prediction depends on the number of questions and the tester’s answering speed,...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 沃建中
Owner BEIJING HUANDU INST OF WISDOM MIND TECH LTD
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