Emotion regulation support device, emotion regulation support method, program, and recording medium

Abstract

To provide an emotion adjustment support device capable of making emotion positive.SOLUTION: An emotion adjustment support device includes an emotion information acquisition part, an emotion analysis estimation part, and a past recording retrieval part. The emotion information acquisition part acquires emotion information of a creator. The emotion analysis estimation part analyzes the emotion information to estimate the emotion of the creator. The past recording retrieval part retrieves a past recording of positive emotion created by the creator as a past recording to be presented to the creator based on the estimated emotion.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to an emotion regulation support device, an emotion regulation support method, a program, and a recording medium.

Background Art

[0002] Conventionally, keeping a diary has been practiced, and recently, devices for automatically generating diaries have also been proposed. For example, Patent Document 1 discloses a diary creation device that prevents the inability to recall what was purchased even when looking at the usage details of a card and increases the chance of noticing unauthorized use of the card.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] A diary, apart from the aspect of recording daily events and actions, etc., also has the aspect of regulating emotions (including mood or feelings, etc.). However, recording negative (negative, for example, anger, sadness, anxiety, etc.) events and actions in a diary may lead to recalling those events again, resulting in the persistence of negative emotions and further recalling other negative events, etc., which may cause one to fall into even more negative emotions. In such cases, it is necessary to make emotions positive (positive, for example, joy, gratitude, motivation, vitality, vigor, etc.) by some method. This problem is not only an issue when keeping a diary but also a problem to be solved in a wide range of fields, such as posting on SNS (Social Network System), creating and sending e-mails, etc.

[0005] Therefore, an object of the present invention is to provide an emotion regulation support device, an emotion regulation support method, and a program capable of making emotions positive. [Means for solving the problem]

[0006] To achieve the above objective, the emotion adjustment support device of the present invention is It includes an emotion information acquisition unit, an emotion analysis and estimation unit, and a past record retrieval unit. The aforementioned emotion information acquisition unit acquires the creator's emotion information, The emotion analysis and estimation unit analyzes the emotion information to estimate the emotions of the creator, The past record search unit searches for past records of positive emotions created by the creator, based on the estimated emotion, to present to the creator.

[0007] The emotion regulation support method of the present invention is This includes a process for acquiring emotional information, a process for analyzing and estimating emotional data, and a process for searching past records. The aforementioned emotion information acquisition process acquires the creator's emotion information, The emotion analysis and estimation step involves analyzing the emotion information to estimate the emotions of the creator, The past record search step searches for past records of positive emotions created by the creator, based on the estimated emotion, to present to the creator.

[0008] The program of the present invention, This includes procedures for acquiring emotional information, estimating emotional analysis, and searching past records. The aforementioned procedure for obtaining emotional information obtains the emotional information of the creator, The emotion analysis estimation procedure involves analyzing the emotion information to estimate the emotions of the creator, The aforementioned past record search procedure searches for past records of positive emotions created by the creator as past records to be presented to the creator, based on the estimated emotion. Each of the aforementioned steps is a program that is executed by a computer.

[0009] The recording medium of the present invention is a computer-readable recording medium that stores the program of the present invention. [Effects of the Invention]

[0010] According to the present invention, the creator is presented with past records that are easy to recall, making it easier to recall positive emotions from the past. For example, negative emotions can be transformed into positive emotions, and even neutral or positive emotions can be transformed into positive emotions. [Brief explanation of the drawing]

[0011] [Figure 1] Figure 1 is a block diagram showing the configuration of an example of an emotion regulation support device according to Embodiment 1. [Figure 2] Figure 2 is a block diagram showing an example of the hardware configuration of the emotion regulation support device according to Embodiment 1. [Figure 3] Figure 3 is a flowchart showing an example of processing in the emotion regulation support device of Embodiment 1. [Figure 4] Figure 4 is a block diagram showing the configuration of an example of an emotion regulation support device according to Embodiment 1. [Figure 5] Figure 5 is a flowchart and explanatory diagram of an example of the processing of the emotion adjustment support device according to Embodiment 1. [Figure 6] Figure 6 is a block diagram showing the configuration of an example of the emotion regulation support device according to Embodiment 2. [Figure 7] Figure 7 is a block diagram showing an example of the hardware configuration of the information protection device in Embodiment 2. [Figure 8] Figure 7 is a flowchart showing an example of processing in the information protection device of Embodiment 2. [Figure 9] Figure 9 is a block diagram showing the configuration of an example of the emotion regulation support device according to Embodiment 3. [Figure 10] Figure 10 is a block diagram showing an example of the hardware configuration of the information protection device of Embodiment 3. [Figure 11]FIG. 11 is a flowchart showing an example of processing in the information protection device according to Embodiment 3. [Figure 12] FIG. 12 is a block diagram showing a configuration of an example of the emotion adjustment support device according to Embodiment 3. [Figure 13] FIG. 13 is a flowchart and an explanatory diagram showing an example of processing of the emotion adjustment support device according to Embodiment 3.

Mode for Carrying Out the Invention

[0012] The emotion adjustment support device of the present invention further includes, for example, a recall degree determination unit. The recall degree determination unit determines the recall degree of the past record based on a predetermined condition. The past record search unit searches for the past record based on the recall degree. This may be the case.

[0013] In the emotion adjustment support device of the present invention, for example, the predetermined condition is a condition defined based on at least one proximity degree of proximity of creation time, proximity of emotion at creation time, proximity of events in the past record, and proximity of terms in the past record. This may be the case.

[0014] The emotion adjustment support device of the present invention further includes, for example, a past record estimation unit. The past record estimation unit estimates the past record of the same or similar emotion as the estimated emotion that the creator is remembering based on the estimated emotion. The past record search unit searches for a positive past record with respect to the estimated past record as the past record to be presented to the creator. This may be the case.

[0015] In the emotion adjustment support device of the present invention, for example, the past record estimation unit estimates the past record based on the recall degree. This may be the case.

[0016] In the emotion adjustment support device of the present invention, for example, it includes a content creation input unit, The aforementioned creation content input unit is capable of inputting creation content information created by the creator, The emotion information acquisition unit acquires at least one of the creation content information and the creator's biometric information as the emotion information. This approach is also acceptable.

[0017] The document creation support device of the present invention includes, for example, the emotion adjustment support device of the present invention. The aforementioned creation information may be in the form of document information.

[0018] In the document creation support device of the present invention, the document information may be diary information, and the past record may be a past diary.

[0019] The emotion regulation support method of the present invention further includes, for example, a recall degree determination step, The recall determination step determines the recall rate of the past records based on predetermined conditions, The aforementioned past record search step searches the past records based on the recall rate. This approach is also acceptable.

[0020] In the emotion adjustment support method of the present invention, for example, the predetermined conditions are conditions defined based on the proximity of at least one of the following: the proximity of the creation time, the proximity of the emotion at the time of creation, the proximity of the event in the past record, and the proximity of the term in the past record. This approach is also acceptable.

[0021] The emotion regulation support method of the present invention further includes, for example, a past record estimation step. The past record estimation step estimates past records of the same or similar emotions as the estimated emotion recalled by the creator, based on the estimated emotion. The aforementioned past record search step searches for past records that are positive to the estimated past record, as past records to be presented to the creator. This approach is also acceptable.

[0022] In the emotion regulation support method of the present invention, for example, the past record estimation step estimates the past record based on the recall level. This approach is also acceptable.

[0023] In the emotion adjustment support method of the present invention, for example, a step of inputting the creation content is included, The aforementioned creation content input step allows the creator to input the creation content information, The emotion information acquisition step acquires at least one piece of information, the content information and the creator's biometric information, as the emotion information. This approach is also acceptable.

[0024] The program of the present invention further includes, for example, a recall rate determination procedure. The recall rate determination procedure determines the recall rate of the past records based on predetermined conditions, The above past record search procedure searches the past records based on the recall rate. This approach is also acceptable.

[0025] In the program of the present invention, for example, the predetermined conditions are conditions defined based on the proximity of at least one of the following: proximity of the creation time, proximity of the emotions at the time of creation, proximity of events in past records, and proximity of terms in past records. This approach is also acceptable.

[0026] The program of the present invention further includes, for example, a past record estimation procedure. The aforementioned past record estimation procedure estimates past records of the same or similar emotions as the estimated emotions recalled by the creator, based on the estimated emotions. The aforementioned past record search procedure searches for past records that are positive to the estimated past record, as past records to be presented to the creator. This approach is also acceptable.

[0027] In the program of the present invention, for example, the past record estimation procedure estimates the past record based on the recall rate. This approach is also acceptable.

[0028] The program of the present invention includes, for example, a procedure for inputting creation content. The aforementioned creation content input procedure allows the creator to input the creation content information, The emotion information acquisition procedure acquires at least one piece of information, such as the content information and the biometric information of the creator, as the emotion information. This approach is also acceptable.

[0029] Embodiments of the present invention will be described with reference to the drawings. The present invention is not limited to the following embodiments. In the following drawings, the same parts are denoted by the same reference numerals. Furthermore, unless otherwise specified, the descriptions of each embodiment can be used interchangeably with those of the others, and unless otherwise specified, the configurations of each embodiment can be combined.

[0030] [Embodiment 1] Figure 1 is a block diagram showing an example configuration of the emotion adjustment support device 10A of this embodiment. As shown in Figure 1, the device 10A includes an emotion information acquisition unit 11, an emotion analysis estimation unit 12, and a past record selection unit 13. Although not shown, the device 10A may also include a display unit and a storage unit.

[0031] The device 10A may be, for example, a single device including the aforementioned parts, or it may be a device in which the aforementioned parts can be connected via a communication network. Furthermore, the device 10A can be connected to an external device described later via the communication network. The communication network is not particularly limited and can use a known network, for example, it may be wired or wireless. Examples of the communication network include the Internet, WWW (World Wide Web), telephone lines, LAN (Local Area Network), SAN (Storage Area Network), DTN (Delay Tolerant Networking), LPWA (Low Power Wide Area), L5G (Local 5G), etc. Examples of wireless communication include Wi-Fi (registered trademark), Bluetooth (registered trademark), Local 5G, LPWA, etc. The wireless communication may be in the form of direct communication between devices (Ad Hoc communication), infrastructure communication, indirect communication via an access point, etc. The device 10A may be, for example, incorporated into a server as a system. Furthermore, the device 10A may be, for example, a personal computer (PC, e.g., desktop or notebook type), smartphone, tablet terminal, etc., on which the program of the present invention is installed. The device 10A may also be in the form of cloud computing or edge computing, for example, in which at least one of the above-mentioned parts is on a server and the other parts are on a terminal.

[0032] Figure 2 illustrates a block diagram of the hardware configuration of the device 10A. The device 10A includes, for example, a central processing unit (CPU, GPU, etc.) 101, memory 102, bus 103, storage device 104, input device 105, output device 106, communication device 107, etc. Each part of the device 10A is interconnected via the bus 103 through its respective interface (I / F).

[0033] The central processing unit 101 operates in coordination with other components via controllers (system controller, I / O controller, etc.) and is responsible for the overall control of the device 10A. In the device 10A, the central processing unit 101 executes, for example, the program of the present invention and other programs, and also reads and writes various types of information. Specifically, for example, the central processing unit 101 functions as an emotion information acquisition unit 11, an emotion analysis estimation unit 12, and a past record retrieval unit 13. The device 10A may also be equipped with other computing devices such as a CPU, GPU (Graphics Processing Unit), APU (Accelerated Processing Unit), or a combination thereof.

[0034] Bus 103 can also be connected to external devices, for example. Examples of such external devices include external storage devices (external databases, etc.), printers, external input devices, external display devices, and external imaging devices. The device 10A can be connected to an external network (the aforementioned communication network) by a communication device 107 connected to bus 103, for example, and can also be connected to other devices via the external network.

[0035] Memory 102 may be, for example, main memory. When the central processing unit 101 performs processing, memory 102 reads various operational programs, such as the program of the present invention, stored in the storage device 104 (described later), and the central processing unit 101 receives data from memory 102 and executes the program. The main memory may be, for example, RAM (random access memory). Alternatively, memory 102 may be, for example, ROM (read-only memory).

[0036] The storage device 104 is also called an auxiliary storage device, for example, in relation to the main memory (primary memory). As described above, the storage device 104 stores an operating program including the program of the present invention. The storage device 104 may be, for example, a combination of a recording medium and a drive that reads and writes to the recording medium. The recording medium is not particularly limited and may be internal or external, for example, an HD (hard disk), CD-ROM, CD-R, CD-RW, MO, DVD, flash memory, memory card, etc. The storage device 104 may be, for example, a hard disk drive (HDD) in which the recording medium and the drive are integrated, or a solid state drive (SSD). If the device 10A includes the storage unit, for example, the storage device 104 functions as the storage unit. The storage unit can store, for example, creator information (name, identification number, attribute information (gender, age, affiliated organization, address, contact information, etc.), biometric information, etc.), past records (past diaries, past SNS posts, past email messages, etc.).

[0037] In this device 10A, the memory 102 and storage device 104 can also store various types of information, such as log information, information obtained from an external database (not shown) or external devices, information generated by this device 10A, and information used by this device 10A when executing processing. In this case, the memory 102 and storage device 104 may store, for example, information of the user of this device (for example, name, date of birth, identification information, biometric information, etc.). At least some of the information may be stored on an external server other than the memory 102 and storage device 104, or it may be stored in a distributed manner across multiple terminals using blockchain technology or the like.

[0038] The device 10A further includes, for example, an input device 105 and an output device 106. The input device 105 may include, for example, a pointing device such as a touch panel, trackpad, or mouse; a keyboard; imaging means such as a camera or scanner; a card reader such as an IC card reader or magnetic card reader; an audio input means such as a microphone; and so on. The output device 106 may include, for example, a display device such as an LED display or liquid crystal display; an audio output device such as a speaker; a printer; and so on. In this embodiment 1, the input device 105 and the output device 106 are configured separately, but the input device 105 and the output device 106 may be configured as an integrated unit, such as a touch panel display.

[0039] Next, an example of the emotion regulation support method of this embodiment will be described based on the flowchart S10A in Figure 3. The behavior determination method of this embodiment is carried out as follows, for example, using the device 10A in Figure 1 or Figure 2. Note that the information protection method of this embodiment is not limited to the use of the device 10A in Figure 1 or Figure 2.

[0040] First, the emotion information acquisition unit 11 acquires the creator's emotion information (S11A, emotion information acquisition process). The creator's emotional information is not particularly restricted and may include, for example, information about the creator's creation content (e.g., text information, drawing information, etc.), vital signs (e.g., heart rate, blood pressure, facial expression, blood flow, respiratory rate, sweating, body temperature, muscle tension, brain activity / EEG, pupil dilation, eye movement, gaze, blinking frequency, complexion, pulse wave, body movement / posture / actions / gestures, voice (speech content, tone, pitch), and emotional information attached to the creation content by the creator. Biological information can be obtained, for example, from cameras, wearable devices, etc. Emotional information attached to the creation content by the creator may include, for example, a classification of emotions using symbols (e.g., -: negative, ±: neutral, +: positive), or a numerical degree of emotion (e.g., 1-3: negative, 4-6: neutral, 6-9: positive). Creation content (the subject of creation) may include, for example, diaries, SNS posts, SNS post attachments, email messages, email attachments, etc.

[0041] Next, the emotion analysis estimation unit 12 analyzes the emotion information to estimate the emotions of the creator (S12A, emotion analysis estimation step). Emotion analysis can be performed, for example, if the emotion information is document information, by a text analysis method using natural language processing (for example, the emotion analysis method described in Japanese Patent Publication No. 2002-117027, Japanese Patent Publication No. 2010-056682, etc.). If the emotion information is biometric information, the emotions can be analyzed by an analysis method that correlates biometric information with emotions. Furthermore, the estimation of emotions can be performed, for example, by estimating in three categories: negative emotions, neutral emotions, and positive emotions, or by sub-categorizing each emotion from the three categories (negative emotions (weak, neutral, and strong), positive emotions (weak, neutral, strong)). The emotion analysis estimation unit 12 may also analyze and estimate the type of emotion. The type of emotion is not particularly limited and can include, for example, anxiety, sadness, joy, surprise, anger, etc.

[0042] Next, the past record search unit 13 searches for past records of positive emotions. Past records of positive emotions include past diaries (text, photos, videos, drawings, illustrations, etc.), past SNS posts (text, photos, videos, drawings, illustrations, etc.), and past emails (text, photos, videos, drawings, illustrations, etc.). The searched past records are then displayed to the creator via a display device (display, etc.).

[0043] (Example of Embodiment 1) Figure 4 shows the configuration of the device 10A in the embodiment of Embodiment 1, where the created content is a diary and the past records are diaries. As shown in the figure, the device 10A includes an emotion analysis unit (emotion analysis estimation unit 12A) and a diary search unit (past record search unit 13A). In the device 10A, when a diary creator creates a diary, the text data (input text) is input to the emotion analysis unit, and the emotion is analyzed and estimated. Based on the estimated emotion, the diary search unit searches past diaries for diaries with positive emotions, outputs them as text data (output text), and presents them to the diary creator.

[0044] Figure 5 shows the specific processing flow when creating a diary. As shown in the flowchart in the figure, the user (diary creator) creates a diary entry for January 31st. If the creator writes in their diary, "I failed at work today and I'm feeling very down," the emotions are analyzed using text analysis based on this sentence, and it is determined whether it is negative (Yes) or not (No). If it is negative (Yes), a past diary entry with positive emotions (January 24th), "Presentation was a great success. I'm so happy!" is retrieved and presented to the diary creator, who then recalls the positive emotions they felt when they wrote that past diary entry. As a result, the diary creator's negative emotions are transformed into positive emotions.

[0045] In the example shown in Figure 5, past diary entries describing positive emotions were searched when negative emotions were present. However, the present invention is not limited to this. For example, in the case of ordinary emotions, and / or positive emotions, past diary entries describing positive emotions may be searched. In this case, the effect of sustaining positive emotions or even increasing positive emotions can be expected.

[0046] [Embodiment 2] A block diagram of the device 10B of this embodiment is shown in Figure 6, and a hardware configuration diagram of the device 10B of this embodiment is shown in Figure 7. As shown in Figures 6 and 7, the device 10B further includes a recall degree determination unit 14, and other than this, this embodiment is the same as Embodiment 1.

[0047] Next, an example of the emotion regulation support method of this embodiment will be explained based on the flowchart S10B in Figure 8. First, as in Embodiment 1, emotion information is acquired (S11B), and emotions are analyzed and estimated (S12B).

[0048] Next, the recall degree determination unit 14 determines the recall degree (S13B, recall degree determination step). According to a general Japanese dictionary, "recall" means "to remember something that happened in the past," and in the present invention, "recall degree" means "ease of remembering." The method for determining the recall degree is not particularly limited, and for example, the recall degree of the past record may be determined based on predetermined conditions. The predetermined conditions are, for example, conditions defined based on at least one proximity of the creation date, the emotion at the time of creation, the proximity of events in the past record, and the proximity of terms in the past record.

[0049] The aforementioned proximity may be expressed numerically (as a score), for example, as "proximity 1, proximity 2, proximity 3," or it may be set qualitatively, for example, as "low proximity, medium proximity, high proximity."

[0050] The proximity of creation dates refers to the temporal closeness between the date and time of creation by the creator and the date and time of creation of past records. For example, if the date and time of creation by the creator is January 31, 2022, the past record from January 24 of the same year will be closer than the past record from January 4 of the same year. The proximity of creation dates can be quantified in units of time (hours, days, weeks, months, etc.).

[0051] The proximity of emotions at the time of creation refers to the similarity in type of emotion between the creator's emotions at the time of creation and past emotions. The type of emotion can be determined using the emotion analysis described above. For example, even among negative emotions, if the creator's emotion at the time of creation is "anxiety," the proximity to past records of "anxiety" will be high, while the proximity to past records of "sadness" will be low, and the proximity to past records of "joy" will be even lower. Alternatively, the proximity of emotions at the time of creation may also refer to the similarity in the degree of emotion between the creator's emotions at the time of creation and past emotions. The degree of emotion may be, for example, the degree of negative emotion, neutral emotion, and positive emotion, or it may be the degree of further subdivision for each emotion (negative emotion (weak, neutral, and strong), positive emotion (weak, neutral, strong)).

[0052] The proximity of events in past records is determined by the similarity of the categories of events included in the content being created by the creator. Examples of categories include meals, sleep, exercise, play, work, family, friends, boss, subordinates, etc. One method of categorizing is to select a category type based on a pre-defined category classification table when creating (recording) a diary or similar document, and then link it to the content being recorded. Alternatively, a machine learning model can be used to train a pre-trained model for automatic category discrimination by studying past records such as diaries that have been categorized. This model can then be used to categorize the content being created (diary, etc.) and past records (diary, etc.), and the resulting classification score can be used as the proximity score.

[0053] The proximity of terms in past records is determined by comparing, for example, the terms (words) included in the content being created (diary, etc.) with the terms (words) included in past records (diary, etc.). For example, past records (diary, etc.) that contain the same terms (words) as the content being created are judged to have a high degree of proximity. For example, past records (diary, etc.) that use the same words to express emotions can be presumed to have a similar degree of emotion. Also, for example, terms (words) in past records that describe the same situation as the terms (words) in the content being created can be presumed to have a similar degree of emotion. The method for calculating the proximity of terms (words) in past records may be, for example, by vectorizing whether or not the same terms (words) are included in the content being created (diary, etc.), and calculating the proximity as the closeness of the two vectors, the content being created and the past records.

[0054] Next, the past record search unit 13 searches for past records of positive emotions (S14B, past record search step). The retrieved past records of positive emotions are presented to the creator.

[0055] [Embodiment 3] Figure 9 shows a block diagram of the device 10C of this embodiment, and Figure 10 shows a hardware configuration diagram of the device 10C of this embodiment. As shown in Figures 9 and 10, the device 10C further includes a past record estimation unit 15 and a creation content input unit 16, and other than these, this embodiment is the same as Embodiment 2.

[0056] Next, an example of the emotion regulation support method of this embodiment will be explained based on the flowchart S10C in Figure 11. First, the content to be created is entered (S11C, content input step). For example, if the content to be created is a diary, a draft for an SNS post, an email, etc., the text is entered using a keyboard or the like. Next, similar to Embodiment 1 and Embodiment 2, emotion information is acquired (S12C), the emotion is analyzed and estimated (S13C), and the degree of recall is determined (S14C, degree of recall determination step).

[0057] Next, the past record estimation unit 15 estimates past records (S15C, past record estimation step). The estimation of past records estimates past records of the same or similar emotions as the emotions of the creator estimated in the emotion analysis estimation step. The estimation of the same or similar emotions can be performed, for example, by manually selecting past records (diary, etc.) that the creator is recalling while creating the work. Alternatively, the estimation of the same or similar emotions can be performed using the proximity level determined in the recall level determination described above. Past records with a high proximity level can be estimated to be the same as or highly similar to the emotions of the creator while creating the work. Past records with the same or similar emotions are, for example, if the creator's emotions while creating the work are negative, then past records will also be negative (same) or neutral (similar); if the creator's emotions while creating the work are neutral, then past records will be negative (similar) or neutral (same); and if the creator's emotions while creating the work are positive, then past records will be neutral (similar) or positive (same).

[0058] Next, past records of positive emotions are searched against past records that are estimated to be the same as or similar to the creator's emotions (S16C, past record search step). The retrieved records of positive emotions are presented to the creator.

[0059] (Example of Embodiment 3) Figure 12 shows the configuration of the device 10C in the embodiment of Embodiment 3, where the created content is a diary and the past records are diaries. As shown in the figure, the device 10C includes an emotion analysis unit (emotion analysis estimation unit 12), a diary estimation unit (past record estimation unit 15), and a diary search unit (past record search unit 13). In the device 10C, when a diary creator creates a diary, the text data (input text) is input to the emotion analysis unit, and the emotion is analyzed and estimated. Based on the estimated emotion, past diaries with the same or similar emotion as the creator's emotion are estimated. The diary search unit then searches for diaries with positive emotions among the estimated past diaries, outputs them as text data (output text), and presents them to the diary creator.

[0060] Figure 13 shows the specific processing flow when creating a diary. As shown in the flowchart in the figure, the user (diary creator) creates a diary entry for January 31st, "January 31st Today I made a mistake at work and felt very depressed," and the creator also recalls a past negative diary entry, such as "Come to think of it, I made a similar mistake at work before and was scolded and felt depressed." When the creator writes the sentence "Today I made a mistake at work and felt very depressed" in their diary entry, the emotion is analyzed using text analysis based on this sentence to determine whether it is negative (Yes) or not (No). If it is negative (Yes), the past diary entry of the recalled negative emotion, "January 16th I made a mistake at work, was scolded and felt depressed," is estimated. Then, for past diary entries that were estimated to contain negative emotions, a past diary entry (January 17th) containing positive emotions, "January 17th: Improved my work methods, happy to be praised," is searched and presented to the diary writer. This triggers the recall of the positive emotions felt when this past diary entry was written, and as a result, the diary writer's negative emotions are transformed into positive emotions.

[0061] In the example shown in Figure 13, past diary entries containing positive emotions were searched when negative emotions were present. However, the present invention is not limited to this. For example, in the case of ordinary emotions, and / or positive emotions, past diary entries containing positive emotions may be searched. In this case, the effect of sustaining positive emotions or even increasing positive emotions can be expected.

[0062] The emotion regulation support device 10C of this embodiment can create, for example, document information using the content input unit 16. The document information is not particularly limited and can be any text, but it is preferably diary information. In this case, the past record is preferably, for example, a past diary. For this reason, the emotion regulation support device 10C can also be called, for example, a document creation support device, a diary creation support device, etc.

[0063] [Embodiment 4] The program of this embodiment is a program that causes a computer to execute each step of the emotion regulation support method described above. Specifically, the program of this embodiment is a program that causes a computer to execute an emotion information acquisition procedure, an emotion analysis estimation procedure, and a past record search procedure.

[0064] The aforementioned procedure for obtaining emotional information obtains the emotional information of the creator, The emotion analysis estimation procedure involves analyzing the emotion information to estimate the emotions of the creator, The aforementioned past record search procedure searches for past records of positive emotions created by the creator, based on the estimated emotion, to present to the creator.

[0065] Furthermore, the program of this embodiment can also be described as a program that causes a computer to function as a procedure for acquiring emotional information, a procedure for analyzing and estimating emotional data, and a procedure for searching past records.

[0066] The program of this embodiment can be based on the description in the emotion adjustment support device and emotion adjustment support method of the present invention. Each of the above steps can be read as, for example, "step" instead of "process". The program of this embodiment may also be recorded on, for example, a computer-readable recording medium. The recording medium is, for example, a non-transitory computer-readable storage medium. The recording medium is not particularly limited and includes, for example, random access memory (RAM), read-only memory (ROM), hard disk (HD), optical disk, floppy disk (FD), etc.

[0067] Although the present invention has been described above with reference to embodiments, the present invention is not limited to the above embodiments. Various modifications to the configuration and details of the present invention can be understood by those skilled in the art within the scope of the present invention.

[0068] <Note> Some or all of the above embodiments may be described as follows, but are not limited to the following: (Note 1) It includes an emotion information acquisition unit, an emotion analysis and estimation unit, and a past record retrieval unit. The aforementioned emotion information acquisition unit acquires the creator's emotion information, The emotion analysis and estimation unit analyzes the emotion information to estimate the emotions of the creator, The past record search unit searches for past records of positive emotions created by the creator, based on the estimated emotion, to present to the creator. Emotion regulation support device. (Note 2) Furthermore, it includes a recall determination unit, The recall rate determination unit determines the recall rate of the past records based on predetermined conditions, The aforementioned past record search unit searches the past records based on the recall level. The emotional regulation support device described in Appendix 1. (Note 3) The aforementioned predetermined conditions are those defined based on the proximity of at least one of the following: the proximity of the creation date, the proximity of the emotions at the time of creation, the proximity of events in past records, and the proximity of terms in past records. The emotional regulation support device described in Appendix 2. (Note 4) Furthermore, including a past record estimation unit, The past record estimation unit estimates past records of the same or similar emotions as the estimated emotion that the creator is recalling, based on the estimated emotion. The aforementioned past record search unit searches for past records that are positive to the estimated past record, as past records to present to the creator. An emotion regulation support device as described in Appendix 2 or 3. (Note 5) The past record estimation unit estimates the past record based on the recall rate. The emotional regulation support device described in Appendix 4. (Note 6) Including the section for entering the content to be created, The aforementioned creation content input unit is capable of inputting creation content information created by the creator, The emotion information acquisition unit acquires at least one of the creation content information and the creator's biometric information as the emotion information. An emotion regulation support device as described in any of the appendices 1 to 5. (Note 7) Includes the emotion regulation support device described in Appendix 6, The aforementioned creation information is document information. A document creation support device. (Note 8) The aforementioned document information is diary information, and the aforementioned past record is a past diary. The document creation support device described in Appendix 7. (Note 9) This includes a process for acquiring emotional information, a process for analyzing and estimating emotional data, and a process for searching past records. The aforementioned emotion information acquisition process acquires the creator's emotion information, The emotion analysis and estimation step involves analyzing the emotion information to estimate the emotions of the creator, The past record search step searches for past records of positive emotions created by the creator, based on the estimated emotion, to present to the creator. Emotion regulation support method. (Note 10) Furthermore, it includes a recall determination step, The recall determination step determines the recall rate of the past records based on predetermined conditions, The aforementioned past record search step searches the past records based on the recall rate. The emotional regulation support method described in Appendix 9. (Note 11) The aforementioned predetermined conditions are those defined based on the proximity of at least one of the following: the proximity of the creation date, the proximity of the emotions at the time of creation, the proximity of events in past records, and the proximity of terms in past records. The emotional regulation support method described in Appendix 10. (Note 12) Furthermore, including the process of estimating past records, The past record estimation step estimates past records of the same or similar emotions as the estimated emotion recalled by the creator, based on the estimated emotion. The aforementioned past record search unit searches for past records that are positive to the estimated past record, as past records to present to the creator. The emotional regulation support method described in Appendix 10 or 11. (Note 13) The aforementioned past record estimation step estimates the past record based on the recall rate. The emotion regulation support device described in Appendix 12. (Note 14) Including the process of entering the creation details, The aforementioned creation content input step allows the creator to input the creation content information, The emotion information acquisition step acquires at least one piece of information, such as the content information and the biometric information of the creator, as the emotion information. A method of supporting emotional regulation described in any of the appendices 9 to 13. (Note 15) Including the emotional regulation support methods described in Appendix 14, The aforementioned creation information is document information. Methods for supporting writing. (Note 16) The aforementioned document information is diary information, and the aforementioned past record is a past diary. The document creation support method described in Appendix 15. (Note 17) This includes procedures for acquiring emotional information, estimating emotional analysis, and searching past records. The aforementioned procedure for obtaining emotional information obtains the emotional information of the creator, The emotion analysis estimation procedure involves analyzing the emotion information to estimate the emotions of the creator, The aforementioned past record search procedure searches for past records of positive emotions created by the creator as past records to be presented to the creator, based on the estimated emotion. A program in which each of the above steps is performed by a computer. (Note 18) Furthermore, it includes a procedure for determining recall level, The recall rate determination procedure determines the recall rate of the past records based on predetermined conditions, The above past record search procedure searches the past records based on the recall rate. The program described in Appendix 17. (Note 19) The aforementioned predetermined conditions are those defined based on the proximity of at least one of the following: the proximity of the creation date, the proximity of the emotions at the time of creation, the proximity of events in past records, and the proximity of terms in past records. The program described in Appendix 18. (Note 20) Furthermore, including a procedure for estimating past records, The aforementioned past record estimation procedure estimates past records of the same or similar emotions as the estimated emotions recalled by the creator, based on the estimated emotions. The aforementioned past record search procedure searches for past records that are positive to the estimated past record, as past records to be presented to the creator. The program described in Appendix 18 or 19. (Note 21) The aforementioned past record estimation procedure estimates the past record based on the recall rate. The program described in Appendix 20. (Note 22) Including the procedure for entering the creation details, The aforementioned creation content input procedure allows the creator to input the creation content information, The emotion information acquisition procedure acquires at least one piece of information, such as the content information and the biometric information of the creator, as the emotion information. The program described in any of the appendices 17 to 21. (Note 23) Including the program described in Appendix 22, The aforementioned creation information is document information. program. (Note 24) The aforementioned document information is diary information, and the aforementioned past record is a past diary. The program described in Appendix 23. (Note 25) A computer-readable recording medium containing a program described in any of the appendices 17 to 24. [Industrial applicability]

[0069] According to the present invention, it is expected that, for example, negative emotions can be transformed into positive emotions, ordinary emotions can be transformed into positive emotions, positive emotions can be made even more positive, and positive emotions can be sustained. The present invention can be applied to a wide range of fields, such as keeping a diary, posting on social media, and composing emails. [Explanation of Symbols]

[0070] 10(10A, 10B, 10C) Emotion regulation support device 11 Emotion information acquisition unit 12 Sentiment analysis estimation section 13 Past Records Search Section 14 Recall level determination section 15. Past Record Estimation Section 16. Input section for creation content 101 Central Processing Unit 102 memory 103 Bus 104 Storage device 105 Input device 106 Output device 107 Communication devices

Claims

1. It includes an emotion information acquisition unit, an emotion analysis estimation unit, a past record retrieval unit, and a recall degree determination unit, The aforementioned emotion information acquisition unit acquires the creator's emotion information, The emotion analysis and estimation unit analyzes the emotion information to estimate the emotions of the creator, The past record search unit searches for past records of positive emotions created by the creator as past records to be presented to the creator, based on the estimated emotion. The recall rate determination unit determines the recall rate of the past records based on predetermined conditions, The aforementioned past record search unit searches the past records based on the recall level. Emotion regulation support device.

2. The aforementioned predetermined conditions are those defined based on the proximity of at least one of the following: the proximity of the creation date, the proximity of the emotions at the time of creation, the proximity of events in past records, and the proximity of terms in past records. The emotion regulation support device according to claim 1.

3. Furthermore, including a past record estimation unit, The past record estimation unit estimates past records of the same or similar emotions as the estimated emotion that the creator is recalling, based on the estimated emotion. The aforementioned past record search unit searches for past records that are positive to the estimated past record, as past records to present to the creator. The emotion regulation support device according to claim 1 or 2.

4. The past record estimation unit estimates the past record based on the recall rate. The emotion regulation support device according to claim 3.

5. Including the section for entering the content to be created, The aforementioned creation content input unit is capable of inputting creation content information created by the creator, The emotion information acquisition unit acquires at least one of the creation content information and the creator's biometric information as the emotion information. An emotion adjustment support device according to any one of claims 1 to 4.

6. Includes the emotion adjustment support device described in claim 5, The aforementioned creation information is document information. A document creation support device.

7. This process includes an emotion information acquisition process, an emotion analysis and estimation process, a past record search process, and a recall degree determination process. The aforementioned emotion information acquisition process acquires the creator's emotion information, The emotion analysis and estimation step involves analyzing the emotion information to estimate the emotions of the creator, The aforementioned past record search step searches for past records of positive emotions created by the creator, based on the estimated emotion, to present to the creator. The recall determination step determines the recall rate of the past records based on predetermined conditions, The aforementioned past record search step searches the past records based on the recall rate. An emotional regulation support method in which each step is performed by a computer.

8. This includes procedures for acquiring emotional information, estimating emotional analysis, searching past records, and determining recall degree. The aforementioned procedure for obtaining emotional information obtains the emotional information of the creator, The emotion analysis estimation procedure involves analyzing the emotion information to estimate the emotions of the creator, The aforementioned past record search procedure searches for past records of positive emotions created by the creator as past records to be presented to the creator, based on the estimated emotion. The recall rate determination procedure determines the recall rate of the past records based on predetermined conditions, The above past record search procedure searches the past records based on the recall rate. A program that instructs a computer to perform each step.

9. A computer-readable recording medium that stores the program described in claim 8.

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