KR20200082558A - Personality diagnosis system using multi-maze space and selective AR content - Google Patents

Abstract

The present invention relates to a personality diagnosis system using a multi-maze space and selective AR content. The present invention includes: a maze space where a partition region divided into Stage 1 to Stage n optional and final rooms are successively formed in a predetermined space, an experiencer moves after selecting either exit every time he or she moves stage by stage from the optional room, and the exits of the Stage n optional rooms lead to different final rooms; a content server performing matching with set spatial coordinates and transmission on AR content including AR appreciation content corresponding to the final room, AR choice content corresponding to the exit of each optional room, and AR background content corresponding to each of the Stage 1 to Stage n optional rooms; and a mobile device owned or worn by the experiencer, sharing real-time location information resulting from his or her movement with the content server, superimposing the AR content transmitted from the content server on a camera viewing screen in accordance with the set spatial coordinates, and displaying the AR content. The AR choice content is configured such that superiority and inferiority can be dichotomously determined through the selection result by situation with respect to two preference indicators corresponding to each human personality factor. The mobile device creates and displays personality diagnosis result data distinguished by which final room is the location of the experiencer.

Description

Personality diagnosis system using multi-maze space and selective AR content

The present invention relates to a psychological aptitude test system, and more specifically, an experienced user can experience and select AR content in an optional multi-maze space in which a plurality of division areas are continuously formed like a maze to grasp his propensity and aptitude. It relates to a personality diagnosis system using multi-maze space and selective ARR content.

In the field of psychology, several methods have been proposed to objectively analyze and classify human behavior diversity. Patent 10-1046269 also relates to an individual psychological diagnosis method.

Among the various personality type test methods, the MBTI (Myers-Briggs Type Indicator) test, which is designed based on Carl G, Jung's psychological typology, is widely used.

The MBTI test analyzes human inclination from the perspective of four scales through a number of questionnaires. MBTI's preference indicators are E (outward)/I (inward) according to the direction of energy, S (sense)/N (intuition) according to the recognition function, T (accident)/F (emotion) according to the judgment function, and lifestyle According to J (judgment)/P (recognition), there are a total of 16 personality types.

This personality type test can understand the characteristics of human behavior by propensity, and can be used in various fields affected by human psychology, such as education, advertisement, job selection, and job placement. Examples of this are the personalized advertisement provision service method using emotion-based user characteristic analysis, and the registered patent 10-1819965 "MBTI-based IoT environment resource recommendation system for resource collaboration".

However, the effectiveness of the personality type test as described above is bound to be based on the objectivity and accuracy of the test result. There is a fear that results will be drawn.

Patent Publication No. 10-2018-0000013 suggests a "personality type analysis method using virtual reality technology" based on the above problem consciousness. However, there is no explanation on how to utilize and systemize the system for selecting the preference, the room composed by the final personality type according to the result of the selection, and the virtual reality content optimized according to the personality type. I'm staying on the idea stage.

1. Registered Patent 10-1046269 "Personal psychological diagnosis method and system" 2. Registered Patent 10-1712591 "Personalized advertisement provision service method using emotion-based user characteristic analysis" 3. Registered Patent 10-1819965 "MBTI-based IoT environment resource recommendation system for resource collaboration" 4. Published Patent 10-2018-0000013 "Personality type analysis method using virtual reality technology"

The present invention provides a system for diagnosing the personality of the experiencer according to the results of the AR content selection in the multi-maze space for question types for analyzing personality types such as MBTI. The purpose of this study is to improve the reliability of personality analysis results by making it possible to grasp the personality types of and to broaden the bases of personality type analysis and related industries.

In order to solve the above-described problems, the present invention is described as ``a partition area divided into a selection room and a final room in steps 1 to n is continuously formed in a predetermined space, and each time an experienced person moves step by step in the selected room, one of two exits A maze space configured to move by selecting, and leading to a different final room for each exit of the n-stage selection room; The AR content including AR background content corresponding to each selection room in the first to nth stages, AR option content corresponding to the exit of each selection room, and AR appreciation content corresponding to the final room is matched to a set spatial coordinate and transmitted. Content server; And a device possessed or worn by an experienced user, the mobile device displaying real-time location information according to the experiencer's movement with the content server and superimposing and displaying AR content transmitted from the content server on a camera viewing screen according to a set spatial coordinate; Including, the AR option content is configured to be able to cover the binary preference for the two preference indicators corresponding to the personality factors of the person through the selection result in each situation, the mobile device is the experienced person in any final room We provide a personality diagnosis system using multi-maze space and selective AR content, which is characterized by creating and displaying personality diagnosis result data classified according to location.

The AR option content is the first group (E/I classification content (E:Extraversion, extroversion/ I:Introcersion, introversion)), the second group (S/N classification content (S:Sensing, sensation/N:Intultion, intuitive) Type)), Group 3 (T/F Classification Content (T:Thinking, Accident/F:Feeling, Emotional Type)) and Group 4 (J/P Classification Content (J:Judging, Judgment Type/P:Perceiving) , Recognition type)), and the mobile device may be configured to create and store detailed propensity analysis data according to a result of an experienced user's selection and transmit it to a wireless communication network.

In addition, when m experiencers form one group, each mobile device of all experiencers shares personality diagnosis result data of the first group experiencers through mediation of the content server, and one mobile device of the first group experiencers corresponds It can be configured to generate (m-1) personality comparison data sets based on the personality diagnosis result data of the mobile device experienced person and the other experienced person.

Since the personality type analysis is naturally performed by the fun multi-maze space and AR content experience by the system of the present invention, an accurate personality type analysis result can be obtained without boredom or difficulty.

1 shows an embodiment of a multi-maze space configured for implementing the system of the present invention.
2 shows an embodiment of AR option content.
[Fig. 3] is a schematic diagram showing the process of dividing personality based on MBTI.
4 shows a situation in which the analysis process for two preference indicators corresponding to each personality factor is subdivided or simplified.
[Fig. 5] schematically shows a group of contents that reproduces a situation in which two options are given in five situations in order to classify the direction of energy among the personality factors of a person as corresponding preference indicators of outward (e) and inward (i). will be.
6 shows another embodiment of a multi-maze space configured for implementing the system of the present invention.
[Fig. 8] shows 16 examples of AR appreciation contents by personality types reproduced when MBTI is applied to the system of the present invention.

The present invention is configured such that a section area divided into a first room and a first room in a predetermined space is continuously formed, and one of two exits is selected and moved whenever an experienced person moves step by step in the selected room. Maze space leading to a different final room at each exit of the n-stage selection room; The AR content including AR background content corresponding to each selection room in the first to nth stages, AR option content corresponding to the exit of each selection room, and AR appreciation content corresponding to the final room is matched to a set spatial coordinate and transmitted. Content server; And a device possessed or worn by an experienced user, the mobile device displaying real-time location information according to the experiencer's movement with the content server and superimposing and displaying AR content transmitted from the content server on a camera viewing screen according to a set spatial coordinate; Including, the AR option content is configured to be able to cover the binary preference for the two preference indicators corresponding to the personality factors of the person through the selection result in each situation, the mobile device is the experienced person in any final room We provide a personality diagnosis system using multi-maze space and selective AR content, which is characterized by creating and displaying personality diagnosis result data classified according to location.

Hereinafter, the present invention will be described in detail with the accompanying drawings.

In the multi-maze space, a plurality of partition spaces consisting of a selection room and a final room are continuously formed as shown in FIG. 1. The selection room is divided into steps 1 to n, and is configured to move by selecting one of two exits for each step. That is, the selection room has one entrance and two exits, and the exit becomes the entrance to the next step selection room. In the final room, one entrance leading to the n-level selection room is formed, and only an exit for the experienced person's exit can be provided without further selection.

A typical maze space is one class with one entrance and one exit, and it is a class that allows the experienced person to enter the entrance to have fun in the process of finding the exit. On the other hand, in the multi-maze space applied to the present invention, a plurality of compartment spaces are divided, so that the process of selecting an exit in each compartment space (that is, a selection room) is repeated, so as to have fun in the process of reaching the final room. While the personality of the experienced person was analyzed, it is different from the normal maze space.

The content server and the mobile device can transmit and receive information data through a wired or wireless communication network. The content server is a computer device having a central processing unit, a memory unit, and the like.

Multiple mobile devices can simultaneously access the content server and display AR (Augmented Reality) content stored in the content server through the mobile device. The AR content is divided into AR background content corresponding to each selection room in steps 1 to n, AR option content corresponding to the exit of each selection room, and AR viewing content corresponding to the final room.

The AR background content represents the concept of each selection room, and the AR option content is an image of a questionnaire for selecting an exit to move to a partition area (next stage selection room or final room) of the next level. For example, when the AR background content corresponding to a specific selection room and the selection room is composed of the sea, the AR option content is A (a luxurious yacht) in which a vehicle desired to ride in a situation where the sea needs to be crossed as shown in FIG. 2. And B (large tortoise).

The AR option content is configured such that two preference indicators corresponding to each person's personality factor through a selection result for each situation can be divided in a dichotomous manner, and when an experienced user repeatedly selects and reaches a specific final room In the final room, AR viewing content is displayed through the mobile device according to the inclination of the experienced person who selected the final room. The AR appreciation content is personalized content according to the result of the experience selection.

The "personality factor of the person" means "a viewpoint of classifying a person's personality" such as direction of energy, cognitive function, judgment function, and lifestyle, and the corresponding two preference indicators are extrovert/introvert, sensory/intuitive As such, it means “a feature that can be divided bilaterally”. Two preference indicators are assumed for each person's personality factor.

The AR option content may be composed of four groups implemented to select one of two options according to a person's personality factor, and the superiority of the experience preferences may be blocked depending on which of the two options is selected. Lose. When MBTI is applied to the system of the present invention, the AR option content may be composed of the following four groups.

-Group 1: E/I classification content (E:Extraversion, extroversion/ I:Introcersion, introversion)

-Group 2: S/N classification content (S: Sensing, sensation/ N: Intultion, intuitive)

-Group 3: T/F classified content (T:Thinking, Thinking type / F:Feeling, Emotional type)

-Group 4: J/P classification contents (J: Judging, Judgment type / P: Perceiving, Recognition type)

[Table 1] below summarizes the characteristics of the preference indicators according to the personality factors of the first to fourth groups.

[Table 1]

In addition, the AR option content may be configured to select one of two options for (2x+1) situations for each group. The x is 0,1,2,3… 1,3,5,7,... It can be configured to choose one of two given options in the context of a branch. It is possible to cover the superiority of preference indicators by making the number of branches in the given situation odd.

Accordingly, the multi-maze space selection room can also be configured up to 4 stages, but each stage experiences (2x+1) selection rooms and can be configured to grasp the preference indicators for each experience.

[Fig. 3] is a schematic diagram showing the process of dividing personality based on MBTI, and [Fig. 4] shows a situation in which the analysis process for two preference indicators corresponding to each personality factor is subdivided or simplified. . The more situations that are reproduced through the selection room and the AR content, the more accurate and detailed analysis is possible and the satisfaction of the experience can be increased, but the cost of space occupancy and production and operation of the AR content increases.

The mobile device is a device possessed or worn by an experienced person, and a wearable display device such as a smartphone or a tablet PC equipped with a camera function, as well as a glasses type or a helmet type, may be applied.

The mobile device displays real-time location information according to the movement of the experienced person with the content server and superimposes and displays AR content transmitted from the content server on a camera viewing screen in accordance with a set spatial coordinate.

In addition, the mobile device creates and displays personality diagnosis result data classified according to where the experienced person is located in the final area of the partition.

Hereinafter, description will be focused on an example in which the AR content of the system of the present invention implements MBTI. [Fig. 5] schematically shows a group of contents that reproduces a situation in which two options are given in five situations in order to classify the direction of energy among the personality factors of a person as corresponding preference indicators of outward (e) and inward (i). will be. The case in which the content of the inclination toward the outward direction (e) is selected is indicated by the arrow in the upper left direction, and the case in which the content in which the inward direction is directed toward the inward direction (i) is selected is indicated by the arrow in the upper right direction. In case of selecting more than 3 times (eee eeei eeeii), the preference index of the experienced person is determined as outward, and in case of selecting inward (i) content more than 3 times (iii, iiie, iiiee), the preference index of the experienced person is determined as inward do.

Some experiencers may have both extroversion and introversion, but it is divided into two categories for classification, and in extreme cases, even if the selection result is 51% extroversion and 49% introversion, preference indicators are judged as extroversion.

[FIG. 1] and [FIG. 6] illustrate embodiments of a multi-maze space, [FIG. 1] is configured so that the selection rooms of the first to third stages can experience three selection situations, respectively, [ 6] shows that the selection rooms of the first to third stages are configured to experience five selection situations, respectively. In both [Fig. 1] and [Fig. 6], the 4-step selection room is configured to experience only one selection situation.

When MBTI is applied to the system of the present invention, the personality type of the experienced person is derived from one of 16 types by combining preference indicators for each personality factor derived according to the selection result for each situation, and the final room of the multi-maze space is 16 It is composed of different spaces of branches, and AR viewing contents are also provided to correspond to each final room.

Examples of detailed contents of AR appreciation contents according to the characteristics of the personality type shown in FIG. 7 are summarized in [Table 2] to [Table 5] below.

[Table 2]

[Table 3]

[Table 4]

[Table 5]

In addition, when m experiencers form one group, each mobile device of all experiencers shares personality diagnosis result data of the first group experiencers through mediation of the content server, and one mobile device of the first group experiencers corresponds It can be configured to generate (m-1) personality comparison data sets based on the personality diagnosis result data of the mobile device experienced person and the other experienced person.

Family or friends can form a group of experienced people, and even if a group of m people enters the first-level option room together, they can reach different final rooms by making different choices according to the AR option content. . In this case, the mobile terminal of each experienced person transmits the personality diagnosis result data of the experienced person to the content server, and the content server collects all the personality diagnosis result data of the first group experiencers and transmits it to each mobile terminal of the first group experienced persons again. You can make it possible for the first group of experienced people to recognize their personality and the personality of others. In addition, each of the mobile devices generates a personality comparison data set with (m-1) other experiences centered on the experience of the user who owns or wears the corresponding mobile device, so that the experience point does not fit well with other experience points. You can try to identify points, points to watch out for, and so on.

The present invention has been described in connection with the accompanying drawings as mentioned above, but various modifications and variations are possible within the scope without departing from the gist of the present invention, and can be used in various fields. Accordingly, the claims of the present invention include modifications and variations that fall within the true scope of the invention.

none

Claims (3)

A partition area divided into a selection room and a final room in steps 1 to n is continuously formed in a certain space, and is configured to move by selecting one of two exits whenever an experienced person moves from step to step in the selected room, step n A maze space leading to a different final room for each exit of the selected room;
The AR content including AR background content corresponding to each selection room in the first to nth stages, AR option content corresponding to the exit of each selection room, and AR appreciation content corresponding to the final room is matched to a set spatial coordinate and transmitted. Content server; And
As a device possessed or worn by an experienced user, a mobile device that displays real-time location information according to the movement of the experienced person and the content server to superimpose and display AR content transmitted from the content server on a camera viewing screen according to a set spatial coordinate; It includes,
The AR option content is configured such that two preference indicators corresponding to each person's personality factor through a selection result for each situation can be divided bilaterally, and the mobile device is determined according to which end room the experiencer is located in. Characteristic diagnosis system using multi-maze space and selective AR content characterized by creating and displaying classified personality diagnosis result data.
In claim 1,
The AR option content is composed of the following four groups,
The mobile device is a personality diagnosis system using a multi-maze space and selective AR content, characterized in that it is configured to create, store, or transmit detailed propensity analysis data according to a user's selection result and transmit it to a wireless communication network.
-Group 1: E/I classification content (E:Extraversion, extroversion/ I:Introcersion, introversion)
-Group 2: S/N classification content (S: Sensing, sensation/ N: Intultion, intuitive)
-Group 3: T/F classified content (T:Thinking, Thinking type / F:Feeling, Emotional type)
-Group 4: J/P classification contents (J: Judging, Judgment type / P: Perceiving, Recognition type)
In claim 1,
If m experienced people form one group,
Each mobile device of all experienced users shares the personality diagnosis result data of the first-group experienced users through the mediation of the content server,
A multi-maze space and selective AR content, characterized in that a mobile device of one of the first group experiencers is configured to generate (m-1) personality comparison data sets based on personality diagnosis result data of the corresponding mobile device experiencer and other experiencers. Personality diagnosis system using.

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