KR102446504B1 - Online rorschach test system and operation method thereof - Google Patents

Abstract

The online Rorschach test system according to an embodiment of the present application includes a response unit that receives response information for an image based on the Rorshaha test, acquires a psychological state through natural language processing for the response information, and writes to each mental state Based on the set numerical data, it includes a data processing unit for calculating the mental state index and a data management unit for providing the examinee interpretation information corresponding to the psychological state index according to preset analysis elements.

Description

ONLINE RORSCHACH TEST SYSTEM AND OPERATION METHOD THEREOF

The present application relates to an online Rorshaha inspection system and a method of operation thereof.

Based on the examinee's free responses to ambiguous stimuli, the projection test examines the individual's psychological characteristics in-depth, such as the examinee's ability to cope with stress, emotional and interpersonal competence, positive self-awareness attitude, and characteristics in perception and cognitive processes. It is a test that can be checked with

These projection tests have the advantage of being free from the intention of showing themselves positively compared to those who respond to multiple-choice questions in a self-reported way. In particular, as a representative method of projection inspection, there is a method using Rorschach® Interpretation Assistance Program (Version 5).

However, Rorshaha test-related software is only used as an auxiliary tool for experts, such as translating the examinee's verbal responses into the Rorshaha language, scoring, and calculating structural summaries.

Accordingly, in the present application, an object of the present application is to provide an online Rorshaha test system that can provide an environment in which an examinee can directly perform a Rorshaha test online and automatically receive a corresponding test result.
(Patent Document 1) KR 10-1554961 B1

It is an object of the present application to provide an online Rorschach inspection system capable of performing a Rorschach-based projection inspection online and providing the inspection result, and an operating method thereof.

The online Rorschach test system according to an embodiment of the present application includes a response unit that receives response information for an image based on a Rorshaha test, acquires a psychological state through natural language processing for the response information, and writes to each mental state Based on the set numerical data, it includes a data processing unit for calculating a mental state index, and a data management unit for providing examinee interpretation information corresponding to the psychological state index according to preset analysis elements.

A method of operating an online Rorschach test system according to an embodiment of the present application, comprising the steps of: a response unit receiving response information for a Rorschach test-based image; a data processing unit determining a psychological state through natural language processing for the response information Acquiring, calculating a mental state index based on numerical data preset for each psychological state, and providing the examinee interpretation information corresponding to the psychological state index according to the interpretation factors preset by the data management unit. .

An online Rorschach examination system according to another embodiment of the present application includes an examinee terminal and an online Rorshaha examination server that is connected from the examinee terminal through a network to provide an image-based user interface, wherein the online Rorschach examination server includes A response unit that receives response information for a Rorshaha test-based image through the user interface from the examinee terminal, acquires a psychological state through natural language processing for the response information, and according to numerical data preset for each psychological state A data processing unit for calculating a mental state index and a data management unit for providing examinee interpretation information corresponding to the psychological state index to the examinee terminal through the user interface according to preset analysis elements.

The on-line Rorschach inspection system and the method of operation thereof according to an embodiment of the present application can provide an environment for automatically performing an online projection inspection, and at the same time can dramatically reduce the cost and time required for an offline inspection. have.

1 is a block diagram of an online Rorshaha test server according to an embodiment of the present application.
2A is an embodiment of an image based on a Rorshaha test.
2B is an embodiment of a question list and an answer list.
Figure 2c is an embodiment of the examinee interpretation information.
FIG. 3 is a diagram specifically illustrating an operation of the response unit of FIG. 1 .
FIG. 4 is a diagram specifically illustrating an operation of the data processing unit of FIG. 1 .
FIG. 5 is a diagram specifically illustrating the data management unit of FIG. 1 .
6 is a block diagram of an online Rorschach test system according to an embodiment of the present application.
7 is an operation process of the online Rorshaha test server of FIG. 1 .
8 is an operation process of the response unit of FIG. 3 .
9 is an operation process of the data processing unit of FIG. 4 .
FIG. 10 is an operation process of the data management unit of FIG. 5 .

Hereinafter, embodiments of the present application will be described with reference to specific embodiments and the accompanying drawings. However, the embodiments of the present application may be modified in various other forms, and the scope of the present application is not limited to the embodiments described below. In addition, the embodiments of the present application are provided in order to more completely explain the present invention to those skilled in the art. Accordingly, the shapes and sizes of elements in the drawings may be exaggerated for a clearer description, and elements indicated by the same reference numerals in the drawings are the same elements.

And in order to clearly explain the present application in the drawings, parts irrelevant to the description are omitted, and the thickness is enlarged to clearly express various layers and regions, and components having the same function within the scope of the same idea are referred to as the same. It is explained using symbols. Furthermore, throughout the specification, when a part "includes" a certain element, it means that other elements may be further included, rather than excluding other elements, unless otherwise stated.

1 is a block diagram of an online Rorshaha test server 10 according to an embodiment of the present application, FIG. 2A is an embodiment of an image based on a Rorshaha test, and FIG. 2B is an implementation of a query list and an answer list This is an example, and FIG. 2c is an embodiment of the examinee's interpretation information.

Referring to FIG. 1 , the online Rorshaha test server 10 may include a response unit 100 , a data processing unit 200 , and a data management unit 300 .

First, the response unit 100 may receive response information on the Rorshaha test-based images. Here, the Rorshaha test-based image may include the same image as the previously known Rorshaha card image. For example, the Rorshaha test-based image may include the same image as the previously known 10 Rorshaha card images. Also, the Rorshaha test-based image may be a new Rorshaha card image produced for the online Rorshaha system. For example, as shown in FIG. 2A , the Rorshaha-based image may be an image made of ink spots, and may be a new image different from the existing Rorshaha card image.

Also, the response information may include at least one target object selected step by step through the user interface for each image, specific area information related to the at least one target object, and text information.

For example, as shown in FIG. 2B , the at least one target object includes a crow shape or a child shape, and the specific area information and text information include a list of queries for at least one target object, for example, questions 1 to According to question 4, it may correspond to a list of answers received from the examinee. That is, the specific area information includes a first outline 101 including a crow shape in the answer list and a second outline 102 including a child shape in the answer list, and the text information includes the rest of the text in the answer list. can

At this time, the user interface is a platform service using an artificial intelligence (AI)-based chatbot, and the user can exchange information as if talking with voice, thereby providing an environment in which online projection inspection can be easily performed. .

Specifically, the response unit 100 may provide the Rorshaha test-based images stored in the data management unit 300 . In this case, the response unit 100 may receive a response to at least one target object selected step by step through the user interface. Then, the response unit 100 may receive a response with specific area information and text information related to the at least one target object.

Next, the data processing unit 200 may obtain a mental state for response information through natural language processing (NLP), and calculate a mental state index based on numerical data preset for each psychological state.

Such natural language processing (NLP) refers to a natural language that mechanically analyzes a language phenomenon to make it into a form that the data processing unit 200 can understand, or a general technology for expressing such a form in a language that can be understood by humans. , it may refer to a technique capable of syntactic analysis to determine the structure of a phrase or clause by identifying the constituents constituting the clause and analyzing the hierarchical relationship of these constituents.

For example, the psychological state is any one of 'aggressive reaction with target', 'evasive reaction with target' and 'defensive reaction without target' in Rorshaha language adapted from the examinee's response information, The mental state index may be quantified data for such a response.

Next, the data management unit 300 may provide the examinee interpretation information corresponding to the psychological state index according to preset interpretation factors. Here, the interpretation factors may include a stress coping competency element, an emotional competency element, a social competency element, a positive self-perceived competency element, and a cognitive competency element.

For example, the examinee interpretation information may be a table in which each examinee interpretation information provided for each analysis element is merged, as shown in FIG. 2C .

The online Rorshaha test server 10 according to the embodiment of the present application provides an environment that enables the online projection test to be automatically performed through the response unit 100 , the data processing unit 200 , and the data management unit 300 . At the same time, it is possible to significantly reduce the cost and time required for offline inspection.

Hereinafter, the online Rorshaha test server 10 will be described in more detail with reference to FIG. 3 .

FIG. 3 is a diagram specifically illustrating the operation of the response unit 100 of FIG. 1 .

1 and 3 , the response unit 100 may include first and second response units 110 and 120 .

First, the first response unit 110 may generate object response information in the form of a sentence based on at least one target object for the Rorshaha test-based image. For example, if the at least one target object is 'a crow, a child, attack, and fly', the first response unit 110 may generate object response information that is 'a crow flies to attack a child'. .

In this case, based on the number of at least one target object, the first response unit 110 may sequentially receive response information for the remaining images by sequentially providing an image following the current image among a plurality of images. have.

Specifically, when at least one target object corresponds to a preset number of sections, the first response unit 110 may sequentially receive at least one target object for the remaining images. Meanwhile, when the at least one target object is less than the preset number of sections, the first response unit 110 may increase the response waiting time to receive selection of at least two target objects.

In addition, when the at least one target object exceeds a preset number of sections, the first response unit 110 resets at least one target object for the corresponding image, and sets each at least one target object for the remaining images. They can be selected sequentially. In this case, as at least one target object is reset, the first responder 110 may limit the selection operation of the examinee so that the target object of a specific number of sections for the image is reselected in the last order.

Next, the second response unit 120 may generate a query list for acquiring the specific region information and the text information, based on preset analysis elements and object response information.

Here, the query list may include a plurality of query items related to at least one target object. For example, if the object response information is, for example, 'a crow flies to attack a young child', the second response unit 120 may display 'Where did you see it?' Did you see that it flew in to attack?' and as a child, in what way?' You can create a list of queries, such as

In this case, the preset analysis element may include a shape element, a physical property element such as color or shading, an accuracy element, a content category element, a universality element, a relevance element, and a specificity element for at least one target object.

Then, the second response unit 120 may receive the specific area information and text information input from the examinee as a response and output it to the data processing unit 200 by providing the query list.

4 is a diagram specifically illustrating an operation of the data processing unit 200 of FIG. 1 .

1 and 4 , the data processing unit 200 may include an extraction unit 210 , a determination unit 220 , and a correction unit 230 .

First, the extraction unit 210 may extract at least a pair of keywords part-of-speech by analyzing each morpheme from text information through natural language processing (NLP).

Next, the determination unit 220 may determine the psychological state of the text information based on at least one pair of keywords part-of-speech. For example, when the pair of keywords part-of-speech are 'someone' and 'attack', the determination unit 220 may determine the psychological state as 'aggressive reaction with a target'.

Next, the calculator 230 may calculate a mental state index according to numerical data preset for each mental state. For example, the calculating unit 230 may calculate a mental state index by accumulating and summing preset numerical data for each mental state determined by the determining unit 220 .

The calculator 230 according to an embodiment may correct the mental state index based on a weight weighted according to the frequency of each mental state. For example, when the frequency of each psychological state is at least two or more, the data processing unit 200 may correct the mental state index based on a weight of 1.5 ratio applied to the corresponding psychological state.

The calculator 230 according to another embodiment generates a similarity ranking list for a comparative psychological state from a previously collected comparison group based on the mental state index, and corrects the mental state index using a weight determined according to the similarity ranking list. can do.

For example, if the first mental state corresponds to the first rank of the similarity ranking list, a weight of 2.0 is applied, and when the second mental state corresponds to the second rank of the similarity ranking list, a weight of 1.8 is applied. can do. In addition, when the third psychological state is less than or equal to the fifth rank in the similarity ranking list, a weight of 1.0 ratio may be applied.

The calculator 230 according to another embodiment may extract a comparative psychological state corresponding to the psychological state index from the pre-collected comparison group, and adjust the weight based on the average frequency of the psychological state of the comparison group.

Specifically, the calculator 230 may adjust the weight by using a correction ratio that is added or subtracted according to a difference between the average frequency of the psychological state of the comparison group and the frequency number of each psychological state. For example, if the average frequency of the psychological state of the comparison group is 5, the frequency of one psychological state is 4, and the weight is 3, using a correction ratio of 0.1 added or subtracted for each frequency difference 1, the weight 3 can be adjusted to 3.1.

FIG. 5 is a diagram specifically illustrating the data management unit 300 of FIG. 1 .

1 and 5 , the data management unit 300 may include a content providing unit 320 and a big data management unit 310 .

First, the big data management unit 310 classifies the examinee interpretation information output through the content providing unit 320 and the psychological state index output through the operation unit 230 for each examinee, and stores it as big data in the D/B 400 . can be saved

In this case, the big data management unit 310 may perform an operation of refining the examinee interpretation information by using an algorithm learned through machine learning on the big data stored in the storage D/B 400 .

Next, the content providing unit 320 may extract each analysis information according to preset analysis elements from the big data stored through the big data management unit 310 . In this case, the content providing unit 320 may generate the examinee interpretation information by merging the respective interpretation information. Then, the content providing unit 320 may provide the examinee interpretation information to the examinee.

The content providing unit 320 according to the embodiment may use the public key corresponding to the private key provided in advance through the first response unit 110 to encrypt and provide the examinee interpretation information.

The content providing unit 320 according to the embodiment generates a translation of the content information based on the language detected from the content information received through the second response unit 120 and outputs a feedback to the second response unit 120 . can do. Then, the content providing unit 320 may provide the translation of the examinee interpretation information into the detected language.

6 is a block diagram of an online Rorschach test system 1000 according to an embodiment of the present application.

Referring to FIG. 6 , the online Rorschach test system 1000 may include the online Rorschach test server 10 and the examinee terminal 20 . Hereinafter, the redundant description of the online Rorshaha test server 10 of the same reference number described in FIGS. 1 to 5 will be omitted.

First, the plurality of examinee terminals 20_1 to 20_N may access the online Rorshaha test server 10 through the network 50 . For example, the plurality of examinee terminals (20_1 to 20_N) is a mobile phone, a smartphone, a tablet PC, a personal computer, a terminal including a monitor, or a dedicated terminal capable of accessing the online Rorshaha test server 10 Any one can

Next, the online Rorshaha test server 10 may communicate with a plurality of examinee terminals 20_1 to 20_N connected through the network 50 through an image-based user interface.

Specifically, the online Rorshaha test server 10 provides a Rorshaha test through an image-based user interface to one examinee terminal (eg, 20_1) among a plurality of examinee terminals 20_1 to 20_N connected through the network 50 . Base images can be provided.

In addition, the online Rorshaha test server 10 receives response information received through an image-based user interface from one examinee terminal (eg, 20_1), and transmits examinee interpretation information through the image-based user interface into one It may be provided to the examinee's terminal (eg, 20_1).

That is, the online Rorschach inspection server 10 automatically performs the Rorschach-based online projection inspection through the response unit 100, the data processing unit 200, and the data management unit 300 described in FIGS. 1 to 5 . It is possible to provide an environment that enables a plurality of examinee terminals (20_1 to 20_N).

7 is an operation process of the online Rorshaha test server 10 of FIG. 1 .

Referring to FIGS. 1 and 7 , first, in step S110 , the response unit 100 may receive response information for Rorshaha test-based images.

Here, the response information may include at least one target object selected step by step through a user interface for each image, specific area information related to the at least one target object, and text information.

Then, in step S120 , the data processing unit 200 may obtain each psychological state for the response information through natural language processing (NLP), and calculate a mental state index according to numerical data preset for each psychological state.

Thereafter, in step S130, the data management unit 300 may provide the examinee interpretation information corresponding to the mental state index according to preset interpretation factors.

FIG. 8 is an operation process of the response unit 100 of FIG. 3 .

3 and 8, first, in step S210, the first response unit 110 generates object response information in the form of a sentence based on at least one target object for the Rorshaha test-based image. can

Then, in step S220 , the second response unit 120 may generate a query list for acquiring specific region information and text information based on a preset analysis element.

Thereafter, in step S230 , the second response unit 120 obtains specific area information and text information from the answer list received from the examinee through the user interface as the query list is provided, and transmits the text information to the data processing unit 200 . can be printed out.

FIG. 9 is an operation process of the data processing unit 200 of FIG. 4 .

4 and 9 , in step S310 , the extraction unit 310 analyzes the text information received through the second response unit 120 for each morpheme through natural language processing, and extracts at least a pair of keywords part-of-speech. can do.

Then, in step S320 , the determination unit 320 may determine the psychological state of the text information based on the pair of keywords part-of-speech extracted through the extraction unit 310 .

Thereafter, in step S330 , the calculator 330 may calculate a mental state index according to numerical data preset for each mental state determined from the plurality of images.

FIG. 10 is an operation process of the data management unit 300 of FIG. 5 .

5 and 10 , in step S410 , the big data management unit 310 may classify preset analysis elements and examinee interpretation information for each examinee and manage it as big data.

At this time, in step S420, the content providing unit 320 extracts each interpretation information according to the preset analysis elements from the big data stored through the big data management unit 310, and merges each interpretation information to obtain the examinee interpretation information. can create

Then, in step S430, the big data management unit 310 can perform an operation of refining the examinee interpretation information by using an algorithm learned through machine learning for the big data stored in the storage D/B 400. have.

Thereafter, in step S440 , the content providing unit 320 may provide the sophisticated examinee interpretation information through the big data management unit 310 through the user interface.

Although the present application has been described with reference to an embodiment shown in the drawings, this is merely exemplary, and those of ordinary skill in the art will understand that various modifications and equivalent other embodiments are possible therefrom. Accordingly, the true technical protection scope of the present application should be determined by the technical spirit of the appended claims.

10: Online Rorshaha Inspection Server
100: response part
200: data processing unit
300: data management unit
400: storage D/B
1000: online rorshaha test server

Claims (20)

a response unit that receives response information on the Rorshaha test-based image;
Obtaining a psychological state through natural language processing for the response information,
a data processing unit for outputting a mental state index corresponding to the acquired mental state; and
A data management unit for providing examinee interpretation information corresponding to the psychological state index according to preset interpretation factors;
Numerical data corresponding to each of a plurality of psychological states obtained through natural language processing for the response information is preset, and the data processing unit is configured to store numerical data corresponding to the acquired psychological state among the plurality of psychological states. Calculate the mental state index through the summation of
The data processing unit uses a correction ratio that is added or subtracted whenever the difference between the average frequency of the psychological state of the comparison group corresponding to the psychological state index extracted from the pre-collected comparison group and the frequency number of the acquired mental state is 1, An online Rorshaha test system that adjusts a weight applied to the calculation of the mental state index. According to claim 1,
The response information includes at least one target object selected step by step through a user interface for each image, specific area information related to the at least one target object, and text information. delete delete delete delete delete 3. The method of claim 2,
The data processing unit may include: an extracting unit configured to extract at least a pair of keywords part-of-speech by analyzing each morpheme through the natural language processing from the text information;
a determination unit for determining a psychological state of the text information based on the pair of keywords part-of-speech; and
and a calculator configured to calculate the mental state index by adding up numerical data corresponding to the mental state determined by the determination unit among the plurality of mental states. 9. The method of claim 8,
The calculation unit corrects the psychological state index based on a weight weighted according to the number of frequencies of each psychological state, the online Rorshaha test system. 10. The method of claim 9,
The calculation unit extracts a comparative psychological state corresponding to the psychological state index from the pre-collected comparison group, and adjusts the weight based on the average frequency of the psychological state of the comparison group. According to claim 1,
The data management unit includes a big data management unit for classifying the examinee interpretation information and the psychological state index for each examinee and storing them as big data; and
An online Rorshaha examination system comprising a content providing unit for generating the examinee interpretation information by merging each analysis information extracted according to preset analysis elements from the big data. 12. The method of claim 11,
The online Rorshaha examination system, wherein the big data management unit performs an operation of refining the examinee interpretation information by applying machine learning to the big data. 12. The method of claim 11,
The online Rorshaha examination system, wherein the content providing unit encrypts and provides the examinee interpretation information using a public key corresponding to the private key provided in advance through the response unit. 12. The method of claim 11,
The content providing unit generates a translation of the content information based on a language detected from the content information received through the second response unit and outputs a feedback output to the second response unit. A method of operating an online Rorshaha inspection system, comprising:
receiving, by the response unit, response information on the Rorshaha test-based image;
obtaining, by a data processing unit, a mental state through natural language processing on the response information, and calculating a mental state index corresponding to the acquired mental state; and
Comprising the step of providing the examinee interpretation information corresponding to the psychological state index according to the data management unit preset interpretation elements,
Numerical data corresponding to each of a plurality of psychological states obtained through natural language processing for the response information is preset, and the data processing unit is configured to store numerical data corresponding to the acquired psychological state among the plurality of psychological states. Calculate the mental state index through the summation of
The data processing unit uses a correction ratio that is added or subtracted whenever the difference between the average frequency of the psychological state of the comparison group corresponding to the psychological state index extracted from the pre-collected comparison group and the frequency number of the acquired mental state is 1, A method of operating an online Rorshaha test system for adjusting a weight applied to the calculation of the mental state index. 16. The method of claim 15,
The method of operating an online Rorshaha inspection system, wherein the response information includes at least one target object selected step by step through a user interface for each image, specific area information related to the at least one target object, and text information. delete delete delete examinee terminal; and
and an online Rorshaha test server that is connected through a network from the examinee terminal and provides an image-based user interface,
The online Rorshaha test server is
a response unit that receives response information for a Rorshaha test-based image from the examinee terminal through the user interface;
a data processing unit for obtaining a mental state through natural language processing on the response information, and calculating a mental state index corresponding to the obtained mental state; and
A data management unit for providing the examinee interpretation information corresponding to the psychological state index to the examinee terminal through the user interface according to preset analysis factors;
Numerical data corresponding to each of a plurality of psychological states obtained through natural language processing for the response information is preset, and the data processing unit is configured to store numerical data corresponding to the acquired psychological state among the plurality of psychological states. Calculate the mental state index through the summation of
The data processing unit uses a correction ratio that is added or subtracted whenever the difference between the average frequency of the psychological state of the comparison group corresponding to the psychological state index extracted from the pre-collected comparison group and the frequency number of the acquired mental state is 1, An online Rorshaha test system that adjusts a weight applied to the calculation of the mental state index.

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