KR20210047020A - Emotional supporting system and method of based on autobiographical memory for old person, and recording medium for storing program thereof - Google Patents

Abstract

Provided is an autobiographical memory-based emotional support system which evaluates interpersonal characteristics based on the autobiographical memory of the elderly, and forms a group of elderly people with a strong bond according to the result, thereby applying a program for emotional support to each group. The emotional support system determines a class by analyzing autobiographical memory-based information collected from each of a number of elderly people, creates one or more groups of elderly people having the same characteristics based on the determined class, and provides an emotional support program provided from the outside for each group so that the emotional support activity for each group can be performed.

Description

Emotional supporting system and method of based on autobiographical memory for old person, and recording medium for storing program thereof

The present invention relates to an emotional support system for the elderly, and in particular, for the elderly who can provide emotional support for each group by forming a group having high bonds according to the characteristics extracted based on the elderly's autobiographical memory. It relates to an autobiographical memory-based emotional support system, an emotional support method, and a recording medium storing a program therefor.

Due to the increase in the proportion of the elderly population, the number of elderly living alone is also increasing sharply year by year. As a result, social problems related to the alienation from social networks, such as loneliness, depression in old age, and suicide in the elderly, and the narrowness of interpersonal relationships have emerged.

In recent years, policies to protect the elderly from social alienation by forming a community of the elderly have emerged. Since the formation and maintenance of such interpersonal relationship groups are simply influenced by geographical proximity or sharing of similar experiences, as well as various interpersonal relationships promotion and deterioration factors, it is necessary to proactively analyze the characteristics of interpersonal relationships among the elderly in order to maintain the elderly community. There is.

Among the many factors influencing interpersonal relationships, the schema that an individual has about interpersonal relationships is considered to be a factor that fundamentally affects both the initiation and maintenance of interpersonal relationships. The interpersonal relationship schema is a generalized representation of an individual's self-to-other relationship. It is formed on the basis of the relationship with the object of attachment in the early stages of life and becomes a framework for predicting future interactions with others. It plays a key role in shaping and regulating our thoughts, emotions, and behavior. Therefore, the provision of an objective evaluation tool for the interpersonal relationship diagram of the elderly living alone can not only evaluate the factors that are very important in the formation and maintenance of social groups in the future, but also help to prevent factors that deteriorate interpersonal relationships in advance.

To date, many measurement tools have been developed for evaluating interpersonal schematics. Among them, the Young Schema Questionnaire (YSQ) is the most commonly used self-report scale to evaluate a wide range of maladaptive core schemas including personal relationships and self-images of patients with various psychiatric disorders including personality disorder.

However, YSQ was developed according to the theory of a dysfunctional and rigid schema formed from childhood related to schematization of psychiatric patients, and it had a limitation that it was difficult to apply to normal people.

In addition, the Inventory of Interpersonal Problem (IIP) and Interpersonal Schema Questionnaire (ISQ) were developed based on the interpersonal circumplex model (IPC). The IIP is designed to comprehensively evaluate interpersonal problems based on IPC and to reveal the most important interpersonal problems. The ISQ is structured based on the IPC in order to predict their behavior in a specific situation by using the schematics they have for important others. In addition, various measures based on IPC have been developed and used for research and clinical purposes.

However, IIPs and ISQs developed based on IPC all have limitations in that they are self-reported evaluation tools using paper, so the impact of social desirability and the limitations of the content of the items, and whether individuals actually understand themselves well. There was a problem, and there was a problem in which it was difficult to respond appropriately due to a relatively high literacy rate and a decrease in literacy due to an increase in the elderly's age.

The present invention is to solve the above-described problem, based on the autobiographical memory of the elderly, the characteristics related to interpersonal relationships are evaluated, and according to the result, an elderly group having a high bond is formed, and a program for emotional support is provided for each group. It is intended to provide an applicable autobiographical memory-based emotional support system, an emotional support method using the same, and a recording medium in which a program therefor is stored.

The autobiographical memory-based emotion support system of the present invention provides a program for emotional support based on the autobiographical memory of each of a plurality of users. To this end, the emotion support system includes an information collection unit for collecting user information based on autobiographical memory from each of a plurality of users; An analysis unit that analyzes the user information and determines a class for the user information of each user; And a group creation unit for generating one or more user groups composed of users having user information of the same class among a plurality of users based on the determined class.

This emotional support system is characterized in that it provides a plurality of emotional support programs provided from the outside for each user group.

The method of supporting emotion based on autobiographical memory of the present invention comprises: collecting user information based on autobiographical memory from each of a plurality of users; Analyzing the collected user information and determining a class for the user information of each user according to the analysis result; Creating one or more user groups composed of users having user information determined as the same class among a plurality of users based on the determined class of each user; And providing different emotional support programs provided from the outside for each user group.

In the autobiographical memory-based emotion support system and emotional support method for the elderly according to the present invention, a class is determined by analyzing user information based on autobiographical memory collected from a plurality of elderly people, that is, each user, and Based on this, it is possible to create one or more user groups composed of users with the same characteristics. In addition, an emotional support program provided from the outside may be provided for each group so that emotional support activities for each group can be performed.

Accordingly, the present invention can provide an opportunity for emotional exchange between users by reinforcing group cohesion of users grouped into groups, and further, it is possible to form an extended social network with other groups.

For this reason, the present invention can prevent depression, isolation, or lone death for the elderly constituting a society member, especially the elderly living alone, so that social inequality for the elderly living alone, that is, health inequality or the occurrence of blind spots in care, etc. can be solved. .

1 is a diagram showing the configuration of an autobiographical memory-based emotional support system according to an embodiment of the present invention.
2 is a diagram showing an emotional support method using an emotional support system according to an embodiment of the present invention.
FIG. 3 is a diagram specifically illustrating a step of determining a class for each information of FIG. 2.
FIG. 4 is a diagram specifically illustrating a step of analyzing personal area information of FIG. 3.
5 is a diagram specifically illustrating a step of analyzing social domain information of FIG. 3.
6A and 6B are diagrams showing an embodiment of determining a class for each information by the emotion support system of the present invention.

Hereinafter, with reference to the accompanying drawings with respect to an embodiment of the present invention will be described the configuration and operation.

It should be noted that the same components among the drawings are denoted by the same reference numerals and reference numerals as much as possible, even if they are indicated on different drawings. In the following description of the present invention, if it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the subject matter of the present invention, a detailed description thereof will be omitted. In addition, when a part "includes" a certain component, it means that other components may be further included rather than excluding other components unless specifically stated to the contrary.

In addition, terms or words used in the present specification and claims should not be interpreted in a conventional and dictionary meaning, and that the inventors can appropriately define the concept of terms in order to describe their own invention in the best way. Based on the principle, it should be interpreted as a meaning and concept consistent with the technical idea of the present invention. Therefore, the embodiments described in the present specification and the configurations shown in the drawings are only preferred embodiments of the present invention, and do not represent all the technical spirit of the present invention, and various equivalents that can replace them at the time of application There may be modifications and examples, and the scope of the present invention is not limited to the following embodiments.

1 is a diagram showing the configuration of an autobiographical memory-based emotional support system according to an embodiment of the present invention.

Referring to FIG. 1, the emotion support system 100 of the present embodiment analyzes information collected from a plurality of users 200, for example, a plurality of elderly people, to create one or more user groups showing similar characteristics, and the generated Various programs for emotional support of the elderly can be provided to each user group.

To this end, the emotional support system 100 of the present embodiment may include an information collection unit 110, an information classification unit 120, an analysis unit 130, a group generation unit 140, and a program selection unit 150. have. In addition, although not shown in the drawing, the emotion support system 100 includes a communication unit (not shown) capable of communicating with a plurality of users 200 or an external device, for example, a program database 300 in which various emotion support programs are stored. Can be configured.

The information collection unit 110 may collect user information for each of the plurality of users 200. Here, the collected user information may be information based on the autobiographical memory of each user. The information collection unit 110 may collect user information from a feedback response of a questionnaire provided to each of the plurality of users 200.

For example, the emotion support system 100 of the present embodiment may provide a questionnaire to an electronic device such as a computer or a smart phone of each of the plurality of users 200. The information collection unit 110 may collect, as user information, a feedback response to a questionnaire input by each of the plurality of users 200 through their electronic device.

In addition, the emotion support system 100 of the present embodiment may provide a questionnaire made of paper or the like to each of the plurality of users 200. The information collection unit 110 may collect user information by parsing a feedback answer handwritten by each of the plurality of users 200 to a questionnaire.

Here, the questionnaire provided to each of the plurality of users 200 may be various inquiries about personal and social information of each user. Accordingly, the information collection unit 110 may collect information on the personal area and information on the social area of each user from the feedback responses of each of the plurality of users 200.

Here, the personal area information may include information on one or more personal relationships and personal events of each user. The social domain information may include information on the degree of interest of each user in fields such as politics, economy, society, and culture.

The information classification unit 120 may classify user information collected by the information collection unit 110. The information classification unit 120 may classify the collected user information into personal area information and social area information, respectively. The information classification unit 120 may output the classified user information to the analysis unit 130.

The analysis unit 130 may analyze the classified user information output from the information classification unit 120, that is, the personal area information and the social area information of the user, respectively. The analysis unit 130 may classify and determine each information into a predetermined class according to the analysis result of the user information.

The analysis unit 130 may include a first analysis unit 131 and a second analysis unit 135. The first analysis unit 131 may analyze the personal area information of the user output from the information classification unit 120. The second analysis unit 135 may analyze the social domain information of the user output from the information classification unit 120.

The group creation unit 140 may generate one or more user groups by configuring one or more users having similar characteristics among the plurality of users 200 into the same group based on the class of user information determined by the analysis unit 130. I can.

For example, each of the first analysis unit 131 and the second analysis unit 135 of the analysis unit 130 analyzes the user's personal area information and social area information, and determines a class for each information according to the result. have.

The group creation unit 140 may generate one or more user groups by grouping each of the plurality of users 200 with similar characteristics, that is, users of the same class, based on the class determined by the analysis unit 130. have.

For example, the class for each information of the user determined by the analysis unit 130 may be one of 1 and 2. In addition, the analysis unit 130 may determine two classes for user information of each of the plurality of users 200. Accordingly, the group generation unit 140 may create four user groups by combining the classes determined by the analysis unit 130.

In other words, the group creation unit 140 selects one or more users whose personal area information and social area information are determined by the analysis unit 130 as a class of [1, 1] among the plurality of users 200 as a first user group. Can be created with In addition, the group creation unit 140 selects one or more users whose personal area information and social area information are determined by the analysis unit 130 as a class of [1, 2] among the plurality of users 200 as a second user group. Can be generated. In addition, the group creation unit 140 selects one or more users whose personal area information and social area information are determined by the analysis unit 130 as a class of [2, 1] among the plurality of users 200 as a third user group. Can be generated. In addition, the group creation unit 140 selects one or more users whose personal area information and social area information are determined by the analysis unit 130 as a class of [2, 2] among the plurality of users 200 as a fourth user group. Can be generated.

The program selection unit 150 may receive various programs for emotional support of the elderly from an external database 300. The program selection unit 150 may provide the provided program to each of a plurality of user groups created by the group generating unit 140. In this case, the program selection unit 150 may provide different emotion support programs for each user group.

As described above, the emotion support system 100 of the present embodiment analyzes user information collected from a plurality of elderly people, that is, users 200, to determine a class for each information, and based on the determined class, the emotion support system 100 You can create more than one user as a group. In addition, an emotional support program provided from the outside may be provided to each of the generated user groups.

Accordingly, the emotion support system 100 of the present invention may increase a sense of bond between users in the group by forming a group between users having similar characteristics among the plurality of users 200. In addition, the emotional support system 100 provides an emotional support program that strengthens group cohesion for each user group, thereby providing an opportunity for emotional exchange between users in the group, and further forming an expanded social network with other groups. Can make it possible to do. Accordingly, the present invention can prevent depression, isolation, or lone death of the elderly, such as the elderly living alone, so that social inequality, that is, health inequality or the occurrence of blind spots of care for the elderly living alone can be prevented.

2 is a diagram showing an emotional support method using an emotional support system according to an embodiment of the present invention.

Referring to the drawings, the information collection unit 110 of the emotion support system 100 may collect user information from each of a plurality of users 200 (S10).

The user information may be information based on the autobiographical memory of each user. For example, the emotion support system 100 may provide a questionnaire having various questions to each of the plurality of users 200. In this case, the questionnaire may include various items for extracting information based on the user's previous memory, that is, the user's autobiographical memory.

Each of the plurality of users 200 may feed back a feedback response to the questionnaire to the emotion support system 100. Accordingly, the information collection unit 110 may collect the answers fed back to each of the plurality of users 200 as user information.

The information collection unit 110 collects the answers fed back through the electronic devices of each of the plurality of users 200 as user information, or collects user information by parsing the answers written by each of the plurality of users 200 by hand. can do.

Subsequently, the collected user information may be classified into personal area information and social area information of the user by the information classification unit 120.

The personal area information may include information on one or more personal relationships and personal events of each user. The social domain information may include information on the degree of interest of each user in fields such as politics, economy, society, and culture.

Subsequently, the user information classified by the information classification unit 120 is provided to the analysis unit 130, and the analysis unit 130 analyzes the user information, and may determine a class of information according to the result (S20). .

FIG. 3 is a diagram specifically showing a step of determining a class for each information of FIG. 2, FIG. 4 is a diagram specifically showing a step of analyzing personal area information of FIG. 3, and FIG. 5 is a diagram showing the social domain information of FIG. It is a diagram specifically showing the step of analysis.

Referring to FIG. 3, first, user information may be classified into personal area information and social area information by the information classification unit 120 (S110).

Subsequently, the first analysis unit 131 of the analysis unit 130 may analyze the personal area information of the user and calculate a class value for the personal area information according to the analysis result (S120).

Here, the class value may be calculated based on a representative value determined for each of the user's personal area information.

For example, referring to FIGS. 4 and 6A, the personal area information may include information on a personal relationship based on a user's autobiographical memory and information on importance of a personal event.

Accordingly, the first analysis unit 131 may determine a representative value for each item with respect to the personal area information collected from the user (S210). Here, the representative value may be determined as one of -1, 0, and 1.

For example, when answers to the relationship with the parent and the sibling are collected from the user as personal area information, the first analysis unit 131 may determine a positive, neutral, and negative state of the user's personal relationship.

Subsequently, the first analysis unit 131 determines a value of 1 as a representative value for a positive answer, a value of 0 for a neutral answer as a representative value, and a value of -1 for a negative answer as a representative value. You can decide.

In addition, when the response of the importance of a number of events occurring from the user to the individual is collected as personal area information, the first analysis unit 131 can determine the importance of the user's major events and the corresponding emotional state. I can.

Subsequently, the first analysis unit 131 may determine a value of -1 as a representative value if there are many relatively negative emotional states for major events, and may determine a value of 1 as a representative value if there are relatively positive emotional states. have. In this case, the first analysis unit 131 may determine a value of 1 as a representative value even when there are many relatively neutral emotional states.

Subsequently, the first analysis unit 131 may calculate a class value for the user's personal area information based on a plurality of representative values for the predetermined user's personal area information (S230).

In this case, the first analysis unit 131 may calculate a class value for the personal region information according to a predetermined equation based on a weight set corresponding to each representative value.

Referring back to FIG. 3, the first analysis unit 131 may determine a class for personal area information of each user based on the calculated class value (S125). Here, the first analysis unit 131 may determine a class of 1 or 2 for each user's personal area information.

Referring to FIG. 6A, the class value for the personal area information of the first user calculated by the first analysis unit 131 may be a value greater than 1. Accordingly, the first analysis unit 131 may determine class 1 for the personal area information of the first user.

On the other hand, the class value for the personal area information of the third user calculated by the first analysis unit 131 may be a value less than 1. Accordingly, the first analysis unit 131 may determine class 2 for the personal area information of the third user.

In addition, the second analysis unit 135 of the analysis unit 130 may analyze the user's social domain information and calculate a class value for the social domain information according to the analysis result (S130).

5 and 6B, the second analysis unit 135 may determine a representative value for social domain information collected from a user (S310). Here, the representative value may be determined as one of 1 and -1.

The social domain information may be information according to a degree of interest in each field of society, such as politics, economy, culture, society, etc. based on the autobiographical memory of each user. Accordingly, the second analysis unit 135 may determine a representative value for each field according to the degree of user interest in each field.

For example, if the user interest in each field is less than 5, the second analysis unit 135 may determine -1 as the representative value. In addition, the second analysis unit 135 may determine 1 as a representative value if the user interest in each field is a value of 5 or more.

Subsequently, the second analysis unit 135 may calculate a class value for the user's social domain information based on the determined representative values (S320).

In this case, the second analysis unit 135 may calculate a class value for social domain information according to a predetermined equation based on a weight set corresponding to each representative value.

Subsequently, as shown in FIG. 3, the second analysis unit 135 may determine the class of the social domain information of each user based on the calculated class value for the social domain information (S135).

As shown in FIG. 6B, the second analysis unit 135 may determine one of 1 and 2 according to the class value size of each user's social domain information. For example, since the class value for the social domain information of the first user calculated by the second analysis unit 135 is less than 1, the second analysis unit 135 determines the class 2 for the social domain information of the first user. I can. On the other hand, since the class value for the social domain information of the second user calculated by the second analysis unit 135 is greater than 1, the second analysis unit 135 determines the class 1 for the social domain information of the second user. I can.

Referring back to FIG. 3, the analysis unit 130 is based on the class of the user's personal area information and the class of social area information determined by the first analysis unit 131 and the second analysis unit 135, respectively, for each user. A class for user information of may be determined (S140).

For example, as shown in FIGS. 6A and 6B, the first user determines that the personal area information is class 1 by the first analysis unit 131, and the social area information is class by the second analysis unit 135. Can be determined by 2. Accordingly, the analysis unit 130 may determine the class [1, 2] with respect to the user information of the first user.

In this way, the analysis unit 130 may determine a class for each user information for a plurality of users, for example, each of the first to eighth users.

Subsequently, referring to FIG. 2, the group generation unit 140 may generate a plurality of user groups to which at least one user belongs based on the classes of each of the plurality of users 200 determined by the analysis unit 130. Can be (S30).

Here, the group generating unit 140 may create one group by grouping one or more users whose user information is determined to be the same class among the plurality of users 200.

6A and 6B, the analysis unit 130 may determine a class of each of the first to eighth users. For example, the first user is determined as class [1, 2], the second user is determined as class [1, 1], the third user is determined as class [2, 1], and the fourth user is determined as class [ 2, 2] can be determined. In addition, the fifth user is determined as class [1, 2], the sixth user is determined as class [1, 1], the seventh user is determined as class [1, 1], and the eighth user is determined as class [ 2, 1].

Accordingly, the group generating unit 140 may generate four user groups by grouping one or more users having the same class based on each class of the first user to the eighth user.

For example, the group generating unit 140 may create a user having a class [1, 1], that is, a second user, a sixth user, and a seventh user as a first user group. In addition, the group generating unit 140 may create a user having a class [1, 2], that is, a first user and a fifth user as a second user group. In addition, the group generating unit 140 may create a user having a class [2, 1], that is, a third user and an eighth user as a third user group. In addition, a fourth user having a class [2, 2] may be created as a fourth user group.

In this way, the group creation unit 140 may create a user group by grouping one or more users having the same class of user information determined by the analysis unit 130 for each of the plurality of users 200.

In addition, the program selection unit 150 may receive an emotion support program optimized for each user group from the external program database 300 and provide it for each user group (S50).

As described above, the present invention determines a class by analyzing user information collected from each of a plurality of users 200, and creates a user group by grouping one or more users having the same class among the plurality of users 200 can do. In addition, the emotional support program provided from the outside may be provided for each user group so that the emotional support activity for each group can be performed.

Accordingly, the present invention can provide an opportunity for emotional exchange between users by reinforcing group cohesion of users grouped into groups, and further, it is possible to form an extended social network with other groups.

For this reason, the present invention can prevent depression, isolation, or lone death for the elderly constituting a society member, especially the elderly living alone, so that social inequality for the elderly living alone, that is, health inequality or the occurrence of blind spots in care, etc. can be solved. .

On the other hand, the emotion support system 100 of the present invention may be constructed as a device such as a computer or a server, and the emotion support method using this may be implemented as a program driven in the emotion support system 100 and stored in a recording medium. have.

The program may include code coded in various computer languages that can be executed by a processor of a computer or server. The code may include a code such as a function defining necessary functions for the hair loss diagnosis method and a control code capable of controlling the code.

In addition, the recording medium in which the program is stored is a medium that can be read by a computer or server, for example, ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical disk, USB memory, SD card, micro SD card, etc. It is not limited thereto.

100: emotional support system 110: information collection unit
120: information classification unit 130: analysis unit
131: first analysis unit 135: second analysis unit
140: group creation unit 150: program selection unit
200: user 300: program database

Claims (14)

In the autobiographical memory-based emotion support system that provides a program for emotional support based on the autobiographical memory of each of a plurality of users,
An information collection unit for collecting user information based on autobiographical memory from each of a plurality of users;
An analysis unit that analyzes the user information and determines a class for the user information of each user; And
And a group creation unit for generating one or more user groups composed of users having user information of the same class among a plurality of users based on the determined class,
The emotional support system is an autobiographical memory-based emotional support system, characterized in that providing a plurality of emotional support programs provided from the outside for each user group. The method of claim 1,
The information collection unit,
An emotional support system based on autobiographical memory, characterized in that the user's feedback response is collected as the user information for a questionnaire provided to each of a plurality of users. The method of claim 1,
The analysis unit,
A first analysis unit that analyzes personal area information among user information of each user and determines a class of the personal area information according to the analysis result; And
An autobiographical memory-based emotion support system, comprising: a second analysis unit that analyzes social domain information among user information of each user and determines a class of the social domain information according to the analysis result. The method of claim 3,
The class of the personal domain information and the class of the social domain information are determined to be one of 1 and 2, and the emotion support system based on autobiographical memory. The method of claim 1,
Further comprising an information classification unit for classifying the collected user information into personal area information and social area information,
The personal area information includes information on one or more personal relationships of each user and importance information on personal events,
The social domain information is an autobiographical memory-based emotional support system, characterized in that it includes information on the degree of interest in each user's political, economic, social and cultural fields. The method of claim 1,
And a program selection unit that receives the plurality of emotion support programs from an external program database and provides different emotion support programs for each of the user groups. Collecting user information based on autobiographical memory from each of the plurality of users;
Analyzing the collected user information and determining a class for the user information of each user according to the analysis result;
Creating one or more user groups composed of users having user information determined as the same class among a plurality of users based on the determined class of each user; And
Autobiographical memory-based emotion support method comprising the step of providing different emotion support programs provided from the outside for each user group. The method of claim 7,
The user information includes personal area information and social area information of each user,
Determining a class for the user information,
Analyzing the user information to determine one or more representative values;
Calculating a class value from one or more of the representative values; And
And determining a class for the user information based on the class value. The method of claim 8,
Determining the one or more representative values,
Analyzing a user's personal relationship from the personal area information and determining the representative value as one of 1, 0, and -1; And
And determining the representative value as one of 1 and -1 by analyzing the importance and emotional state of the user's main event from the personal area information. The method of claim 9,
Determining a class for the user information,
If the class value calculated from the representative value of the personal area information is greater than 1, determining the class of the personal area information as 1, and when the class value is less than 1, determining the class of the personal area information as 2 Autobiographical memory-based emotional support method, characterized in that it comprises. The method of claim 8,
Determining the one or more representative values,
And determining the representative value as one of 1 and -1 by analyzing the user's interest in each of the political, economic, social and cultural fields from the social domain information. . The method of claim 11,
Determining a class for the user information,
If the class value calculated from the representative value of the social domain information is greater than 1, determining the class of the social domain information as 1, and when the class value is less than 1, determining the class of the social domain information as 2 Autobiographical memory-based emotional support method, characterized in that it comprises. The method of claim 7,
After the step of collecting the user information,
And classifying the user information into personal domain information and social domain information. A recording medium in which a program for performing the emotion support method of any one of claims 7 to 13 is stored.

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