Information processing device, control method, and program

Abstract

This information processing device 1X mainly comprises an emotion acquisition means 14X, a dissociation tendency specification means 16X, and an output control means 17X. The emotion acquisition means 14X acquires a set of a target emotion, which is emotion to be a target of a subject, and actual emotion, which is actual emotion of the subject. The dissociation tendency specification means 16X specifies a tendency of dissociation pertaining to inner states of the target emotion and the actual emotion on the basis of the target emotion and the actual emotion. The output control means 17X outputs information about the dissociation tendency specified by the dissociation tendency specification means 16X.

Description

[Technical field]

[0001] The present disclosure relates to the technical field of an information processing device, a control method, and a storage medium that perform processing related to estimation of an inner surface state. [Background technology]

[0002] There are known devices or systems that estimate the inner state of a subject. For example, Patent Document 1 discloses a technology that evaluates the emotions felt by a subject from the perspectives of both arousal and comfort, and adjusts the volume, temperature, fragrance, etc. of an air conditioner based on the arousal data and comfort data. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2019-208576 A Summary of the Invention [Problem to be solved by the invention]

[0004] Since there is no right answer for emotions, how to manage and regulate emotions varies from person to person. In order to properly manage and regulate one's emotions, it is not enough to understand the current emotions.

[0005] In view of the above-mentioned problems, an object of the present disclosure is to provide an information processing device, a control method, and a storage medium that can favorably support emotion management and adjustment. [Means for solving the problem]

[0006] One aspect of the information processing device is An emotion acquisition means for acquiring a pair of a target emotion, which is an emotion to be targeted by a subject, and an actual emotion, which is an actual emotion of the subject; a deviation tendency specification means for specifying a tendency of deviation between the target emotion and the actual emotion with respect to an inner state based on a pair of the target emotion and the actual emotion; a stress acquisition means for acquiring a degree of stress of the subject for each pair of the target emotion and the actual emotion; The higher the level of acute stress of the subject is for a pair of the target emotion and the actual emotion, the higher the output of the deviation tendency based on that pair. An output control means; The information processing device has the following features. Another aspect of the information processing device is An emotion acquisition means for acquiring a pair of a target emotion, which is an emotion to be targeted by a subject, and an actual emotion, which is an actual emotion of the subject; a deviation tendency specification means for specifying a tendency of deviation between the target emotion and the actual emotion with respect to an inner state based on a pair of the target emotion and the actual emotion; a stress acquisition means for acquiring a degree of stress of the subject for each pair of the target emotion and the actual emotion; a deviation tendency learning means for classifying pairs of the target emotion and the actual emotion based on a level of chronic stress of the subject and learning a tendency of the deviation for each classification; an output control means for outputting a learning result of the deviation tendency by the deviation tendency learning means; The information processing device has the following features. Yet another aspect of the information processing device is An emotion acquisition means for acquiring a pair of a target emotion, which is an emotion to be targeted by a subject, and an actual emotion, which is an actual emotion of the subject; a deviation tendency specification means for specifying a tendency of deviation between the target emotion and the actual emotion with respect to an inner state based on a pair of the target emotion and the actual emotion; a stress acquisition means for acquiring a degree of stress of the subject for each pair of the target emotion and the actual emotion; a deviation tendency learning means for classifying pairs of the target emotion and the actual emotion based on a degree of acute stress of the subject and learning a tendency of the deviation for each classification; an output control means for outputting a learning result of the deviation tendency by the deviation tendency learning means; The information processing device has the following features.

[0007] One aspect of the control method includes: The computer A pair of a target emotion, which is an emotion to be targeted by a subject, and an actual emotion, which is an actual emotion of the subject, is obtained; Identifying a tendency of deviation between the target emotion and the actual emotion with respect to an inner state based on the pair of the target emotion and the actual emotion; obtaining a degree of stress of the subject for each pair of the target emotion and the actual emotion; The higher the level of acute stress of the subject is for a pair of the target emotion and the actual emotion, the higher the output of the deviation tendency based on that pair. , It is a control method. Note that the "computer" includes any electronic device (it may be a processor included in an electronic device), and may be configured by multiple electronic devices.

[0008] One aspect of the program is A pair of a target emotion, which is an emotion to be targeted by a subject, and an actual emotion, which is an actual emotion of the subject, is obtained; Identifying a tendency of deviation between the target emotion and the actual emotion with respect to an inner state based on the pair of the target emotion and the actual emotion; obtaining a degree of stress of the subject for each pair of the target emotion and the actual emotion; The higher the level of acute stress of the subject is for a pair of the target emotion and the actual emotion, the higher the output of the deviation tendency based on that pair. It is a program that causes a computer to execute processing. Effect of the Invention

[0009] According to the present disclosure, it is possible to suitably output information useful for managing and regulating emotions. [Brief description of the drawings]

[0010] [Figure 1] 1 shows a schematic configuration of an inner surface state estimating system according to a first embodiment. [Diagram 2] 2 shows a hardware configuration of an information processing device. [Diagram 3] 2 is an example of a functional block of an information processing device. [Figure 4] (A) shows a first display example of a target emotion input screen, and (B) shows a second display example of a target emotion input screen. [Diagram 5] 1A is an example of a data structure of emotion management information in the first embodiment; and FIG. 1B is an example of a data structure of deviation tendency information in the first embodiment. [Figure 6] 13A is a diagram showing a deviation vector in an inner state coordinate system, and FIG. 13B is an output example of an emotion evaluation report in the first mode. [Figure 7] 13 is an example of a functional block of an information processing device according to a second embodiment. [Figure 8] 13A is a display example of a first event designation screen, and FIG. 13B is a display example of a second event designation screen. [Figure 9] 13A is an example of a data structure of emotion management information in the second embodiment; (B) is an example of a data structure of deviation tendency information in the second embodiment; and (C) is an example of an emotion evaluation report in the second embodiment. [Figure 10] 13 is an example of a functional block of an information processing device according to a third embodiment. [Figure 11]13A is an example of a data structure of emotion management information in the third embodiment; (B) is an example of a data structure of deviation tendency information in the third embodiment; and (C) is an example of an emotion evaluation report in the third embodiment. [Figure 12] 13 is an example of a functional block of an information processing device according to a fourth embodiment. [Figure 13] 13A is a first example of an emotion evaluation report in the fourth embodiment; and FIG. 13B is a second example of an emotion evaluation report in the fourth embodiment. [Figure 14] 4 is an example of a process flowchart executed by the information processing device in the first embodiment. [Figure 15] An example of a scenario in which the subject uses the system is shown. [Figure 16] 13 shows a schematic configuration of an inner surface state estimating system according to a second embodiment. [Figure 17] FIG. 13 is a block diagram of an information processing device according to a third embodiment. [Figure 18] 13 is an example of a flowchart executed by the information processing device in the third embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0011] Hereinafter, embodiments of an information processing device, a control method, and a storage medium will be described with reference to the drawings.

[0012] First Embodiment (1) System Configuration 1 shows a schematic configuration of an inner state estimating system 100 according to a first embodiment. The inner state estimating system 100 identifies a tendency of deviation between a subject's actual emotion (also referred to as "actual emotion") and a target emotion (also referred to as "target emotion"), and outputs information on the identified tendency of deviation. Here, the "subject" may be an athlete or employee whose inner state is managed by an organization, or may be an individual user.

[0013] The inner surface state estimating system 100 mainly includes an information processing device 1, an input device 2, an output device 3, a storage device 4, and a sensor 5.

[0014] The information processing device 1 performs data communication with the input device 2, output device 3, and sensor 5 via a communication network or by direct wireless or wired communication. The information processing device 1 identifies the subject's actual emotion and target emotion and identifies the deviation tendency between the actual emotion and the target emotion based on the input signal "S1" supplied from the input device 2, the sensor signal "S3" supplied from the sensor 5, and information stored in the storage device 4. The information processing device 1 also generates an output signal "S2" related to the identified deviation tendency and supplies the generated output signal S2 to the output device 3.

[0015] The input device 2 is an interface that accepts manual input (external input) of information about each subject. The user who inputs information using the input device 2 may be the subject himself / herself, or a person who manages or supervises the subject's activities. The input device 2 may be various user input interfaces, such as a touch panel, a button, a keyboard, a mouse, or a voice input device. The input device 2 supplies the generated input signal S1 to the information processing device 1. The output device 3 displays or sounds predetermined information based on the output signal S2 supplied from the information processing device 1. The output device 3 is, for example, a display, a projector, a speaker, etc.

[0016] The sensor 5 measures the subject's biological data (biological signals) and the like, and supplies the measured biological data and the like to the information processing device 1 as a sensor signal S3. In this case, the sensor signal S3 may be any biological data (e.g., heart rate, brain waves, sweat rate, hormone secretion, cerebral blood flow, blood pressure, body temperature, electromyography, electrocardiography, respiratory rate, pulse waves, acceleration, and the like) used to estimate the subject's stress. The sensor 5 may also be a device that analyzes blood collected from the subject and outputs the analysis result as a sensor signal S3. The sensor 5 may also be a wearable terminal worn by the subject, or may be a camera that captures an image of the subject or a microphone that generates an audio signal of the subject's speech, and the like.

[0017] The storage device 4 is a memory that stores various information necessary for the information processing device 1 to execute processing. The storage device 4 may be an external storage device such as a hard disk connected to or built into the information processing device 1, or may be a storage medium such as a flash memory. The storage device 4 may also be a server device that performs data communication with the information processing device 1. The storage device 4 may also be composed of multiple devices.

[0018] The storage device 4 functionally comprises an emotion management information storage section 41, a coordinate system information storage section 42, and a deviation tendency information storage section 43.

[0019] The emotion management information storage unit 41 stores emotion management information including pairs of target emotions and actual emotions of a subject measured or input in a time series. As will be described later, the information processing device 1 acquires pairs of target emotions and actual emotions of a subject at regular or irregular intervals, and stores the acquired pairs of target emotions and actual emotions in the emotion management information storage unit 41. The data structure of the emotion management information will be described later in detail.

[0020] The coordinate system information storage unit 42 stores coordinate system information, which is information on a coordinate system (also called an "inner state coordinate system") relating to an inner state in which each emotion can be expressed by a coordinate value. The inner state coordinate system may be any coordinate system expressing emotions. For example, the inner state coordinate system may be a coordinate system adopted in Russell's emotion circle (a coordinate system with axes of pleasant-unpleasant emotional valence and arousal), or a coordinate system adopted in the KOKORO scale (a coordinate system with axes of anxiety-relief, excitement-irritation). The coordinate system information storage unit 42 stores, for example, table information or the like indicating the correspondence between each emotion and the corresponding coordinate value in the inner state coordinate system, as the coordinate system information.

[0021] The deviation tendency information storage unit 43 stores deviation tendency information that indicates the deviation tendency between the target emotion and the actual emotion of the subject identified for each pair of the target emotion and the actual emotion by the information processing device 1. The data structure of the deviation tendency information will be described in detail later.

[0022] The configuration of the inner state estimation system 100 shown in FIG. 1 is an example, and various modifications may be made to the configuration. For example, the input device 2 and the output device 3 may be configured as an integrated device. In this case, the input device 2 and the output device 3 may be configured as a tablet terminal that is integrated with or separate from the information processing device 1. The input device 2 and the sensor 5 may also be configured as an integrated device. The information processing device 1 may be configured from a plurality of devices. In this case, the plurality of devices that configure the information processing device 1 transmit and receive information required to execute pre-assigned processing between these plurality of devices. In this case, the information processing device 1 functions as an information processing system.

[0023] (2) Hardware configuration of information processing device 2 shows a hardware configuration of the information processing device 1. The information processing device 1 includes, as hardware, a processor 11, a memory 12, and an interface 13. The processor 11, the memory 12, and the interface 13 are connected via a data bus 90.

[0024] The processor 11 functions as a controller (arithmetic device) that performs overall control of the information processing device 1 by executing a program stored in the memory 12. The processor 11 is, for example, a processor such as a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), or a TPU (Tensor Processing Unit). The processor 11 may be composed of multiple processors. The processor 11 is an example of a computer.

[0025] The memory 12 is composed of various types of volatile and non-volatile memories such as a RAM (Random Access Memory), a ROM (Read Only Memory), and a flash memory. The memory 12 also stores programs for executing processes executed by the information processing device 1. Note that a part of the information stored in the memory 12 may be stored in one or more external storage devices capable of communicating with the information processing device 1, or may be stored in a storage medium that is detachable from the information processing device 1.

[0026] The interface 13 is an interface for electrically connecting the information processing device 1 to other devices. These interfaces may be wireless interfaces such as a network adapter for wirelessly transmitting and receiving data to and from other devices, or may be hardware interfaces for connecting to other devices via cables or the like.

[0027] The hardware configuration of the information processing device 1 is not limited to the configuration shown in Fig. 2. For example, the information processing device 1 may include at least one of an input device 2 and an output device 3. The information processing device 1 may be connected to or have a built-in sound output device such as a speaker.

[0028] (3) Details of the processing executed by the information processing device Next, a detailed description will be given of the processing executed by the information processing device 1. The following describes specific aspects (first to fourth aspects) relating to the identification and output of the deviation tendency between the target emotion and the actual emotion.

[0029] (3-1) First aspect Fig. 3 is an example of functional blocks of the information processing device 1 in the first embodiment. The processor 11 of the information processing device 1 in the first embodiment functionally comprises a target emotion acquisition section 14, an actual emotion acquisition section 15, a deviation tendency calculation section 16, and an output control section 17. Note that in Fig. 3, blocks where data is exchanged are connected by solid lines, but the combination of blocks where data is exchanged is not limited to Fig. 3. The same applies to other functional block diagrams described later.

[0030] The target emotion acquisition unit 14 acquires the target emotion of the subject based on the input signal S1. In this case, for example, the target emotion acquisition unit 14 causes the output device 3 to display a target emotion input screen, which will be described later, and accepts an input for designating a target emotion on the target emotion input screen.

[0031] The real emotion acquisition unit 15 acquires the real emotion based on at least one of the input signal S1 or the sensor signal S3. For example, the real emotion acquisition unit 15 acquires an image supplied from a camera that captures the subject via the interface 13 as a sensor signal S3, and recognizes the subject's emotion by analyzing the facial expression of the subject from the acquired image. In this case, for example, the real emotion acquisition unit 15 performs the above-mentioned recognition using a model that infers the facial expression of a person in an image when the image is input. In this case, the storage device 4 or the memory 12 stores parameters of the above model that have been learned in advance based on deep learning or the like. In another example, the real emotion acquisition unit 15 may estimate the real emotion of the subject based on the voice data of the subject. In this case, the real emotion acquisition unit 15 acquires, for example, voice data generated by a voice input device as an input signal S1, and estimates the emotion of the subject by analyzing the tone of the subject's speech or the words spoken based on the acquired voice data. In this case, the storage device 4 or the memory 12 stores information required for analyzing the voice data in advance. In yet another example, the actual emotion acquisition section 15 causes the output device 3 to display an actual emotion input screen, which will be described later, and accepts an input for designating an actual emotion on the actual emotion input screen.

[0032] The target emotion acquisition unit 14 and the actual emotion acquisition unit 15 store the acquired set of target emotion and actual emotion in the emotion management information storage unit 41. The target emotion and actual emotion stored in the emotion management information storage unit 41 may be represented, for example, by an ID (emotion ID) pre-assigned to each emotion, or by coordinate values ​​in an inner state coordinate system. In the latter case, the target emotion acquisition unit 14 or the actual emotion acquisition unit 15 executes, for example, the process of calculating the coordinate values ​​in the inner state coordinate system of the target emotion and actual emotion in place of the deviation tendency calculation unit 16 described below.

[0033] The deviation tendency calculation unit 16 calculates the deviation tendency of emotions based on the pair of target emotions and actual emotions stored in the emotion management information storage unit 41. In this case, the deviation tendency calculation unit 16 converts the target emotion and actual emotion into coordinate values ​​in the internal state coordinate system based on the coordinate system information stored in the coordinate system information storage unit 42, and calculates a vector in the internal state coordinate system (also called a "deviation vector") with the coordinate value of the target emotion as the start point and the coordinate value of the actual emotion as the end point. Then, the deviation tendency calculation unit 16 stores information related to the calculated deviation vector in the deviation tendency information storage unit 43 as deviation tendency information.

[0034] The output control unit 17 controls output of report information (also called "emotion evaluation report") regarding the deviation tendency between the target emotion and the actual emotion of the subject based on the deviation tendency information stored in the deviation tendency information storage unit 43 at a predetermined timing. Here, the emotion evaluation report is generated based on the deviation tendency information corresponding to one or more pairs of the target emotion and the actual emotion, and may be a report regarding the subject's daily emotion or a report regarding the subject's medium- to long-term emotion. The output control unit 17 generates an output signal S2 at a predetermined timing and supplies the output signal S2 to the output device 3 via the interface 13, thereby displaying or outputting the emotion evaluation report on the output device 3. The predetermined timing may be, for example, a timing at a predetermined time, a timing at a time interval of a predetermined length, or any timing requested by the user.

[0035] Each of the components of the target emotion acquisition unit 14, the actual emotion acquisition unit 15, the deviation tendency calculation unit 16, and the output control unit 17 described in FIG. 3 can be realized, for example, by the processor 11 executing a program. Also, each component may be realized by recording a necessary program in an arbitrary non-volatile storage medium and installing it as necessary. At least a part of each of these components is not limited to being realized by software by a program, but may be realized by any combination of hardware, firmware, and software. Also, at least a part of each of these components may be realized by using an integrated circuit that is programmable by a user, such as an FPGA (Field-Programmable Gate Array) or a microcontroller. Also, at least a part of each of the components may be configured by an ASSP (Application Specific Standard Produce), an ASIC (Application Specific Integrated Circuit), or a quantum processor (quantum computer control chip). In this way, each of the components may be realized by various hardware. The above is the same in other embodiments described later. Furthermore, each of these components may be realized by the cooperation of multiple computers using, for example, cloud computing technology. The above is the same in other embodiments described later.

[0036] Next, a specific example of acquiring the target emotion based on the input signal S1 in the first embodiment will be described.

[0037] FIG. 4(A) shows a first display example of the target emotion input screen. The target emotion input screen according to the first display example has a target emotion input field 31 and an input completion button 32. The output control unit 17 generates an output signal S2 for outputting the target emotion input screen shown in FIG. 4(A) based on an instruction from the target emotion acquisition unit 14, and supplies the generated output signal S2 to the output device 3. Here, as an example, the target emotion input field 31 is an input field in the form of a pull-down menu. Then, when the output control unit 17 detects that the input completion button 32 has been selected, it acquires an input signal S1 indicating the target emotion input in the target emotion input field 31 at the time the input completion button 32 was selected, and supplies the target emotion to the target emotion acquisition unit 14.

[0038] FIG. 4(B) shows a second display example of the target emotion input screen. The target emotion input screen according to the second display example has a coordinate system display area 33 and an input completion button 34. The coordinate system display area 33 displays the inner state coordinate system used by the information processing device 1. Here, the inner state coordinate system is a coordinate system adopted in the Russell emotion circle, and the positions of representative emotions are clearly indicated on the inner state coordinate system. The output control unit 17 accepts a position specified by the mouse pointer 80 on the coordinate system display area 33. Then, when the output control unit 17 detects that the input completion button 32 has been selected, it acquires an input signal S1 representing the position specified by the mouse pointer 80 on the coordinate system display area 33, and supplies the input signal S1 to the target emotion acquisition unit 14. In this case, the target emotion acquisition unit 14 acquires the coordinate values ​​on the inner state coordinate system corresponding to the position indicated by the input signal S1 as the coordinate values ​​in the inner state coordinate system of the target emotion.

[0039] By doing as described above, the target emotion acquisition unit 14 can suitably acquire the target emotion. Note that the actual emotion acquisition unit 15 may also acquire the actual emotion based on user input, similar to the target emotion. In this case, the actual emotion acquisition unit 15 causes the output control unit 17 to output to the output device 3 an actual emotion input screen having an input field for the actual emotion or an area for displaying an inner state coordinate system, and accepts user input of information related to the actual emotion.

[0040] Next, the data structures of the emotion management information and deviation tendency information in the first aspect will be described.

[0041] Fig. 5(A) is an example of the data structure of emotion management information in the first aspect. As shown in Fig. 5(A), the emotion management information in the first aspect includes the items of "management ID", "target emotion", "actual emotion", and "target date and time".

[0042] The "management ID" is an ID assigned to each pair of a target emotion and a real emotion, and here, as an example, is a serial number according to the order in which the pairs of target emotion and real emotion were generated. The "target emotion" is the target emotion acquired by the target emotion acquisition unit 14, and the "real emotion" is the real emotion acquired by the real emotion acquisition unit 15. Note that instead of registering a word expressing an emotion in the "target emotion" and the "real emotion", an emotion ID or the like that identifies the emotion may be registered. The "target date and time" indicates the date and time when the subject felt the corresponding real emotion (in other words, the date and time when the real emotion occurred).

[0043] Here, a supplementary explanation will be given regarding the update of emotion management information. For example, when an actual emotion is measured, the information processing device 1 adds to the emotion management information a record including an "actual emotion" indicating the measured actual emotion, a "target date and time" indicating the date and time when the actual emotion occurred, and a "target emotion" indicating the target emotion set at that date and time. Note that the target emotions for that day may be set all at once at the beginning of the day, and in the case of manual input, the actual emotion may be input by the user after a certain time has passed.

[0044] The emotion management information may include various items in addition to the above items. For example, when the information processing device 1 handles emotions of multiple subjects, the emotion management information may further include IDs of the subjects corresponding to the actual emotion and the target emotion.

[0045] Fig. 5(B) is an example of the data structure of deviation trend information in the first aspect. As shown in Fig. 5(B), the deviation trend information has the following items: "Management ID", "Deviation magnitude", "Deviation direction", and "Target date and time".

[0046] "Management ID" indicates an ID that identifies each pair of target emotion and actual emotion. "Deviation magnitude" indicates the magnitude of the deviation vector calculated based on the corresponding pair of target emotion and actual emotion. "Deviation direction" indicates the direction of the deviation vector. Here, the direction of the coordinate axis to which the deviation vector is closest is indicated as the direction of the deviation vector. Note that the internal state coordinate system is a coordinate system adopted in Russell's emotion circle, with the emotional valence of "pleasant"-"unpleasant" on the horizontal axis and "arousal"-"calm" on the vertical axis. "Target date and time" indicates the date and time when the subject felt the corresponding actual emotion.

[0047] Note that the deviation tendency information may have various items in addition to the items shown in Fig. 5(B). For example, when the information processing device 1 handles multiple subjects, the deviation tendency information may further include the IDs of the subjects. In another example, instead of or in addition to the "deviation magnitude" and "deviation direction", the deviation tendency information may include an item indicating the coordinate value of the deviation vector (i.e., the relative coordinate value of the actual emotion when the coordinate value of the target emotion is taken as the origin).

[0048] Fig. 6(A) is a diagram showing the deviation vector corresponding to management ID "1" in Fig. 5(A) and Fig. 5(B). Here, the inner state coordinate system is a coordinate system adopted in Russell's emotion circle, with the emotional valence of "pleasant"-"unpleasant" on the horizontal axis and "arousal"-"calm" on the vertical axis, and the positions of the actual emotion and the target emotion are clearly shown. In this case, the actual emotion deviates from the target emotion, and the deviation vector points in the directions of "unpleasant" and "calm," with the "unpleasant" element being particularly large.

[0049] FIG. 6(B) is an example of an emotion evaluation report that the output control section 17 causes the output device 3 to output in the first mode.

[0050] In the emotion evaluation report shown in Fig. 6(B), the output control unit 17 outputs the contents of the records of deviation tendency information corresponding to a plurality of pairs of target emotions and actual emotions including management IDs "1" and "2" measured in the most recent predetermined period (for example, one week). Here, the output control unit 17 outputs the contents of the records of deviation tendency information in which the magnitude of the deviation vector is equal to or greater than a predetermined threshold as "cases in which deviation from the target is large," and outputs the contents of the records of deviation tendency information in which the magnitude of the deviation vector is less than the predetermined threshold as "cases in which deviation from the target is small." In this way, the output control unit 17 determines the output mode of the emotion evaluation report based on the magnitude of the deviation vector.

[0051] For example, the output control unit 17 determines that the magnitude of the deviation vector is equal to or greater than a predetermined threshold for each record of deviation trend information corresponding to management IDs "1" and "2," and recognizes these as "cases of large deviation from the target." Then, the output control unit 17 outputs the contents (here, the target date and time and deviation direction) of each record of deviation trend information corresponding to management IDs "1" and "2" as "cases of large deviation from the target."

[0052] In this way, the output control unit 17 according to the first embodiment can notify the subject or his / her manager of the discrepancy between the target emotion and the actual emotion of the subject by outputting the emotion evaluation report as shown in FIG. 6(C), and can appropriately support the subject in grasping and managing the emotion of the subject. This can promote the subject's growth in terms of EQ (Emotional Intelligence Quotient), leading to improved work productivity, etc. The output control unit 17 may display the emotion evaluation report shown in FIG. 6(B) on the output device 3 as it is, or may output information corresponding to the emotion evaluation report to the output device 3 as audio. In yet another example, the output control unit 17 may generate a file corresponding to the emotion evaluation report shown in FIG. 6(B).

[0053] (3-2) Second mode In the second mode, in addition to the processing in the first mode, the information processing device 1 further acquires event information of the subject, and determines an output mode of the emotion evaluation report based on the event information.

[0054] 7 is an example of a functional block of the information processing device 1 in the second aspect. The processor 11 of the information processing device 1 in the second aspect functionally has a target emotion acquisition unit 14, an actual emotion acquisition unit 15, a deviation tendency calculation unit 16, an output control unit 17, and an event information acquisition unit 18.

[0055] The target emotion acquisition unit 14 and the actual emotion acquisition unit 15 acquire the target emotion and actual emotion of the subject before, during, or after an event related to the subject. In this case, the target emotion may be set individually for each event, or may be set for each week or day regardless of the event. The target emotion and the actual emotion are stored in the emotion management information storage unit 41 in association with the event information detected by the event information acquisition unit 18. The deviation tendency calculation unit 16 calculates a deviation vector for each pair of the target emotion and the actual emotion, and adds a record corresponding to the calculated deviation vector to the deviation tendency information stored in the deviation tendency information storage unit 43. The output control unit 17 determines the output mode of the emotion evaluation report based on the event information, and outputs the emotion evaluation report according to the determined output mode. In addition, the output control unit 17 controls the output device 3 to output each input screen related to the target emotion, the actual emotion, and the event based on instructions from the target emotion acquisition unit 14, the actual emotion acquisition unit 15, and the event information acquisition unit 18.

[0056] The event information acquisition unit 18 acquires event information related to an event of the subject. The event information includes, for example, information related to the content of the event and the date and time (time period) when the event is held. In this case, for example, the event information acquisition unit 18 acquires event information representing an event to be associated with a pair of a target emotion and an actual emotion acquired by the target emotion acquisition unit 14 and the actual emotion acquisition unit 15 based on the input signal S1. In this case, the event information acquisition unit 18 may acquire schedule information of the subject from a system that manages the schedule of the subject, and specify an event to be associated with a pair of a target emotion and an actual emotion based on the acquired schedule information. A specific example of this will be described with reference to FIG. 8(A) and FIG. 8(B).

[0057] FIG. 8(A) is a display example of a first event designation screen, which is a screen on which a user designates an event to be associated with the target emotion to be input. The first event designation screen shown in FIG. 8(A) has a personal schedule display area 35 and an input completion button 36. In this case, the output control unit 17 acquires the schedule information of the subject from the storage device 4 or another schedule management device, and displays the schedule of the subject in the personal schedule display area 35 based on the schedule information. In FIG. 8(A), as an example, the output control unit 17 displays the schedule of the subject on January 25, 2020, and displays the registered events "personal work", "meeting", and "drinking party" in association with the date and time when each event occurs.

[0058] Then, on the first event designation screen, the output control unit 17 accepts an input in the personal schedule display area 35 designating an event or time period to be associated with the target emotion to be input. Then, when the output control unit 17 detects that the input completion button 36 has been selected, it detects the event selected in the personal schedule display area 35 or the event corresponding to the selected time period as the event to be associated with the target emotion to be input next. After that, the output control unit 17 displays the target emotion input screen (see FIG. 4(A) or FIG. 4(B)) described in the first form, and further accepts an input designating a target emotion.

[0059] FIG. 8(B) is a display example of a second event designation screen, which is a screen on which a user designates an event to be associated with the actual emotion to be input. The second event designation screen shown in FIG. 8(B) has a personal schedule display area 37 and an input completion button 38. In this case, the output control unit 17 acquires schedule information of the subject from the storage device 4 or another schedule management device, and displays the schedule of the subject in the personal schedule display area 37 based on the schedule information. Then, in the second event designation screen, the output control unit 17 accepts an input in the personal schedule display area 37 that designates an event or a time period to be associated with the actual emotion to be input. Then, when the output control unit 17 detects that the input completion button 36 has been selected, it detects the event selected in the personal schedule display area 37 or an event corresponding to the selected time period as an event to be associated with the actual emotion to be input next. After that, the output control unit 17 displays the actual emotion input screen described in the first form, and further accepts an input that designates the actual emotion.

[0060] FIG. 9(A) is an example of the data structure of emotion management information in the second mode, and FIG. 9(B) is an example of the data structure of emotion management information in the second mode. The emotion management information shown in FIG. 9(A) has the items of "management ID", "target emotion", "real emotion", "event", and "event date and time". Moreover, the deviation tendency information shown in FIG. 9(B) has the items of "management ID", "deviation magnitude", "deviation direction", "event", and "event date and time". Here, in the "event" in the emotion management information and deviation tendency information, the content of the event related to the corresponding target emotion and real emotion is registered, and in the "event date and time", the date and time (time zone) of the event related to the corresponding target emotion and real emotion is registered. In the examples of FIG. 8(A) and FIG. 8(B), event information indicating the content and date and time (time zone) of an event selected from the events ("personal work", "meeting", "drinking party") registered in the subject's personal schedule is registered as "event" and "event date and time" in the emotion management information and deviation tendency information.

[0061] In addition to or instead of the event specified by the user, classification information (type of event) that classifies the event specified by the user may be registered in the "event" item.

[0062] FIG. 9C is an example of an emotion evaluation report that the output control unit 17 causes the output device 3 to output in the second mode.

[0063] In the emotion evaluation report shown in FIG. 9(C), the output control unit 17 aggregates the deviation tendency information stored in the deviation tendency information storage unit 43 by event type, and outputs the deviation tendency of emotions for each event type. In the example of FIG. 9(C), the output control unit 17 first calculates the average vector of deviation vectors for each event type, namely, "performance evaluation", "task B", "training", "task D", "task A", and "task C". Then, based on the average vector of deviation vectors for each event type, the output control unit 17 outputs the deviation tendency of emotions for each event type, dividing the events into "events with a large deviation from the target" and "events with a small deviation from the target". Then, the output control unit 17 outputs the events that fall under the "events with a large deviation from the target" with information on the deviation direction.

[0064] In this way, in the second aspect, the output control unit 17 can appropriately support understanding and management adjustment of emotions for each event by collating deviation tendency information for each type of event and notifying the user of the collating result.

[0065] (3-3) Third aspect In the third aspect, in addition to the processing in the first or second aspect, the information processing device 1 further acquires the degree of acute stress of the subject (also called the "acute stress value"), and determines the output mode of the emotion evaluation report based on the acquired acute stress value.

[0066] 10 is an example of a functional block of the information processing device 1 in the third aspect. The processor 11 of the information processing device 1 in the third aspect functionally has a target emotion acquisition section 14, an actual emotion acquisition section 15, a deviation tendency calculation section 16, an output control section 17, and an acute stress acquisition section 19.

[0067] In the third embodiment, the information processing device 1 performs a process of acquiring the subject's actual emotion and a process of acquiring the subject's acute stress. In this case, the acute stress acquisition unit 19 calculates the subject's acute stress value by applying any acute stress estimation method to the sensor signal S3. In this case, the acute stress acquisition unit 19 may use biological data such as heart rate, brain waves, sweat rate, hormone secretion, cerebral blood flow, blood pressure, body temperature, electromyography, respiratory rate, pulse wave, acceleration, etc. measured by a wearable device or the like worn by the subject, may use an image of the subject's face, or may use speech data of the subject. Then, the acute stress acquisition unit 19 stores the calculated acute stress value in the emotion management information storage unit 41 in association with the corresponding pair of actual emotion and target emotion.

[0068] Fig. 11(A) is an example of the data structure of emotion management information in the third aspect, and Fig. 11(B) is an example of the data structure of emotion management information in the third aspect. As shown in Fig. 11(A) and Fig. 11(B), the emotion management information and deviation tendency information have an "acute stress" item, in which the acute stress value (here, 0 to 100) acquired by the acute stress acquisition section 19 is registered.

[0069] FIG. 11C is an example of an emotion evaluation report that the output control unit 17 causes the output device 3 to output in the third embodiment.

[0070] In the emotion evaluation report shown in FIG. 11(C), the output control unit 17 selects some records from each record of the deviation tendency information based on the acute stress value, and outputs an emotion evaluation report based on the selected record of the deviation tendency information. Specifically, the output control unit 17 selects records from each record of the deviation tendency information whose acute stress value is equal to or greater than a predetermined threshold (e.g., 50), and classifies the contents of the selected records into either "cases with a large deviation from the target" or "cases with a small deviation from the target" based on the magnitude of deviation, and outputs the classified contents. For example, the output control unit 17 does not output the record of the management ID "1" in FIG. 11(B) on the emotion evaluation report because the acute stress is less than the above-mentioned threshold. On the other hand, the output control unit 17 classifies the record of the management ID "2" in FIG. 11(B) into "cases with a large deviation from the target" because the acute stress is equal to or greater than the above-mentioned threshold, and outputs the classified contents.

[0071] According to this example, the output control unit 17 can present to the subject or the like a record of deviation tendency information having a higher acute stress value with a higher priority.

[0072] Instead of selecting a record of deviation tendency information to be output to the emotion evaluation report based on the acute stress value, the output control unit 17 may determine the display order of the records of deviation tendency information to be output to the emotion evaluation report. In this case, the output control unit 17 displays a record of deviation tendency information having a higher acute stress value at a higher position in the emotion evaluation report.

[0073] In yet another example, the output control unit 17 may use the acute stress value as a weight when integrating records of deviation tendency information. In this case, for example, the deviation tendency information stored in the deviation tendency information storage unit 43 includes an item of "event" like the data structure shown in FIG. 9(B) in the second embodiment, and the output control unit 17 uses records of deviation tendency information classified by event type based on the second embodiment to calculate an average vector of deviation vectors for each event type. Then, when calculating the above-mentioned average vector for each event type, the output control unit 17 regards the acute stress value as a weight of the deviation vector and calculates the above-mentioned average vector by performing a weighted average of the deviation vector. In this case, the output control unit 17 can suitably output an emotion evaluation report that places more importance on the deviation tendency of emotions when the acute stress value is high.

[0074] (3-4) Fourth aspect In the fourth mode, in addition to the process in the second mode, the information processing device 1 further acquires a chronic stress value (degree of chronic stress) of the subject, and learns the tendency of emotions to diverge according to the chronic stress value.

[0075] 12 is an example of a functional block of the information processing device 1 in the fourth aspect. The processor 11 of the information processing device 1 in the fourth aspect functionally has a target emotion acquisition section 14, an actual emotion acquisition section 15, a deviation tendency calculation section 16, an output control section 17, an event information acquisition section 18, a chronic stress acquisition section 20, and a deviation tendency learning section 21.

[0076] The chronic stress acquisition unit 20 calculates the chronic stress value of the subject by applying any chronic stress estimation method to the sensor signal S3. In this case, the chronic stress acquisition unit 20 may use biological data such as pulse or sweat measured by a wearable device or the like worn by the subject, may use an image of the subject's face, or may use speech data of the subject. In addition, the chronic stress acquisition unit 20 may store the sensor signal S3 periodically acquired from the subject in the storage device 4 or memory 12, and estimate the chronic stress value based on the sensor signal S3 acquired within a recent predetermined period (for example, within the most recent month).

[0077] The chronic stress acquisition section 20 then associates the calculated chronic stress value with a corresponding set of actual emotion, target emotion, and event information, and stores it in the emotion management information storage section 41. The emotion management information stored in the emotion management information storage section 41 and the deviation tendency information stored in the deviation tendency information storage section 43 include, in addition to the items of "target emotion," "actual emotion," and "event," an item of "chronic stress" in which the chronic stress value is recorded.

[0078] The deviation tendency learning unit 21 learns the deviation tendency of emotions according to the chronic stress value and the event based on the information of deviation vectors, event information, and chronic stress value included in the deviation tendency information stored in the deviation tendency information storage unit 43. Specifically, the deviation tendency learning unit 21 classifies the records of the deviation tendency information according to the chronic stress value, and learns the deviation tendency of emotions for each type of event for each classified record. In this case, the deviation tendency learning unit 21 classifies the records of the deviation tendency information based on the chronic stress value and the type of event, and calculates the average vector of the deviation vector for each classified record group. The output control unit 17 acquires the average vector of the deviation vectors calculated by the deviation tendency learning unit 21 for each classification as a learning result, and outputs an emotion evaluation report indicating the learning result.

[0079] Fig. 13(A) is a first example of an emotion evaluation report that the output control unit 17 causes the output device 3 to output in the fourth mode. Fig. 13(B) is a second example of an emotion evaluation report that the output control unit 17 causes the output device 3 to output in the fourth mode.

[0080] In a first example, the output control unit 17 outputs, as an emotion evaluation report, a table showing the learning results of the emotion divergence tendency for each chronic stress value and event type learned by the divergence tendency learning unit 21. In the first example, the chronic stress value is divided into two stages, "high chronic stress" and "low chronic stress", and the events are divided into two categories (types), "collaboration" and "individual work". In this case, the divergence tendency learning unit 21 calculates the average vector of the divergence vector for each combination (here, 4 (= 2 × 2) combinations) of the chronic stress value level and the event type. Then, the output control unit 17 outputs the learning results of the emotion divergence tendency for each combination on the emotion evaluation report based on the magnitude and direction of the average vector.

[0081] In the second example, when the latest chronic stress calculated by the chronic stress acquisition unit 20 is equal to or greater than a predetermined threshold, the output control unit 17 outputs the emotion evaluation report shown in FIG. 13(B). In this case, the output control unit 17 instructs the deviation tendency learning unit 21 to learn the emotion deviation tendency, and the deviation tendency learning unit 21 calculates the average vector of the deviation vector for each event type (here, collaborative work or individual work) based on the records of deviation tendency information stored in the deviation tendency information storage unit 43 in which the chronic stress is equal to or greater than a predetermined threshold. Then, the output control unit 17 outputs a comment for each event type based on the average vector of the deviation vector calculated for each event type. In this case, the output control unit 17 outputs a comment for each event type that induces the real emotion so that the corresponding average vector becomes smaller (i.e., in the opposite direction to the average vector).

[0082] According to the fourth aspect, the output control unit 17 can preferably learn the tendency of emotions to diverge according to the chronic stress value and preferably notify the subject or the like of the learning result. The information processing device 1 may execute the processing of the fourth aspect using an acute stress value instead of a chronic stress value. In this case, the information processing device 1 has an acute stress acquisition unit 19 instead of the chronic stress acquisition unit 20, and the deviation tendency learning unit 21 learns the tendency of emotions to diverge according to the acute stress value. In this case, the information processing device 1 can preferably notify the subject or the like of the learning result of the tendency of emotions to diverge according to acute stress.

[0083] (4) Processing flow 14 is an example of a processing flowchart executed by the information processing device 1 in the first embodiment. The information processing device 1 repeatedly executes the processing of the flowchart in FIG.

[0084] First, the information processing device 1 generates emotion management information including the actual emotion and the target emotion of the subject (step S11). In this case, the information processing device 1 may generate emotion management information including at least any of the following items in addition to the "actual emotion" and "target emotion", "event" and "event date and time" indicating the content and date and time of the event, "chronic stress" or "acute stress" indicating the chronic stress value or acute stress value of the subject, and "target date and time" relating to the date and time when the actual emotion occurred, as shown in any of Figs. 5(A), 9(A), and 11(A).

[0085] Next, the information processing device 1 expresses the actual emotion and the target emotion using coordinate values ​​of the internal state coordinate system based on the coordinate system information stored in the coordinate system information storage unit 42 (step S12). The information processing device 1 then calculates a deviation vector based on each coordinate value of the actual emotion and the target emotion in the internal state coordinate system (step S13). In this case, the information processing device 1 calculates as the deviation vector a vector in the internal state coordinate system whose start point is the coordinate value of the target emotion and whose end point is the coordinate value of the actual emotion. The information processing device 1 then adds a record of deviation tendency information to be stored in the deviation tendency information storage unit 43 based on the calculated deviation vector.

[0086] Then, the information processing device 1 judges whether it is time to output the emotion evaluation report (step S14). In this case, for example, the information processing device 1 judges it is time to output the emotion evaluation report when a predetermined condition for outputting the emotion evaluation report is satisfied, or when a user request to output the emotion evaluation report is detected based on the input signal S1.

[0087] If it is time to output the emotion evaluation report (step S14; Yes), the information processing device 1 causes the output device 3 to output the emotion evaluation report (step S15). This allows the information processing device 1 to notify the subject or his / her manager of the discrepancy between the subject's target emotion and actual emotion, and appropriately support understanding and management adjustment of the subject's emotions. On the other hand, if it is not time to output the emotion evaluation report (step S14; No), the information processing device 1 returns the process to step S11.

[0088] 15 shows an example of a scenario in which the subject uses the present system. Here, as an example, a case is shown in which stress (acute stress or chronic stress) is measured based on the third or fourth aspect.

[0089] 15, in the morning, the subject inputs a target emotion via the input device 2, and during the day, stress is measured by supplying a sensor signal S3 measured by a wearable device or the like to the information processing device 1. After that, the subject inputs an actual emotion via the input device 2, and the information processing device 1 generates deviation tendency information representing the deviation tendency of emotions on that day based on the target emotion and actual emotion input on that day, and outputs an emotion evaluation report based on the deviation tendency information as a daily report.

[0090] The information processing device 1 also outputs an emotion evaluation report based on the deviation trend information of the subject for one week as a weekly report every week. In this case, the information processing device 1 extracts the deviation trend information of the subject for one week from the deviation trend information storage unit 43, and generates a weekly report based on the extracted deviation trend information. Similarly, the information processing device 1 outputs an emotion evaluation report based on the deviation trend information of the subject for 30 days every 30 days (one month) as a long-term report. Note that the information processing device 1 may evaluate the stress of the subject, and when the stress value becomes equal to or greater than a predetermined threshold, output a stress alert to notify the subject that the stress is high. The information processing device 1 may also output an emotion evaluation report (see FIG. 13(B)) that notifies the subject of a comment or the like that induces real emotions so as to reduce the deviation vector as feedback.

[0091] Such a usage scenario allows the subject to easily understand and manage their emotions.

[0092] (5) Variations The functions of the target emotion acquisition unit 14 and the actual emotion acquisition unit 15 may be included in a device other than the information processing device 1. In this case, the other device stores a pair of a target emotion and an actual emotion in the emotion management information storage unit 41 based on a user's input or the like. Then, the deviation tendency calculation unit 16 of the information processing device 1 acquires the pair of the target emotion and the actual emotion by referring to the emotion management information storage unit 41, and calculates a deviation vector for the acquired pair of the target emotion and the actual emotion. Then, the output control unit 17 outputs an emotion evaluation report based on the deviation tendency information generated by the deviation tendency calculation unit 16. Even with this aspect, the information processing device 1 can notify the subject or his / her manager of the deviation between the target emotion and the actual emotion of the subject, and can appropriately support the subject's understanding and management adjustment of the emotion.

[0093] <Second embodiment> 16 shows a schematic configuration of an inner state estimating system 100A according to the second embodiment. The inner state estimating system 100A according to the second embodiment is a server-client model system, in which an information processing device 1A functioning as a server device performs the processing of the information processing device 1 in the first embodiment. Hereinafter, the same components as those in the first embodiment are appropriately denoted by the same reference numerals, and the description thereof will be omitted.

[0094] 17, the inner surface state estimating system 100A mainly includes an information processing device 1A functioning as a server, a storage device 4 storing data similar to that in the first embodiment, and a terminal device 8 functioning as a client. The information processing device 1A and the terminal device 8 perform data communication via a network 7.

[0095] The terminal device 8 is a terminal having an input function, a display function, and a communication function, and functions as the input device 2 and the output device 3 shown in Fig. 1. The terminal device 8 may be, for example, a personal computer, a tablet terminal, a PDA (Personal Digital Assistant), etc. The terminal device 8 transmits a biosignal output by a sensor (not shown) or an input signal based on a user input to the information processing device 1A.

[0096] The information processing device 1A has the same configuration as the information processing device 1 shown in, for example, Figs. 1 to 3. The information processing device 1A receives information acquired by the information processing device 1 shown in Fig. 1 from the input device 2 and the sensor 5 from the terminal device 8 via the network 7, and identifies the deviation tendency between the target emotion and the actual emotion based on the received information. Furthermore, the information processing device 1A transmits information for outputting an emotion evaluation report to the terminal device 8 via the network 7 based on a request from the terminal device 8. This allows the information processing device 1A to suitably present the deviation tendency between the target emotion and the actual emotion to the user of the terminal device 8.

[0097] <Third embodiment> 17 is a block diagram of an information processing device 1X in the third embodiment. The information processing device 1X mainly includes an emotion acquisition unit 14X, a deviation tendency identification unit 16X, and an output control unit 17X. The information processing device 1X may be composed of multiple devices.

[0098] The emotion acquisition means 14X acquires a pair of a target emotion, which is an emotion to be targeted by a subject, and an actual emotion, which is an actual emotion of the subject. The emotion acquisition means 14X can be the target emotion acquisition unit 14 and the actual emotion acquisition unit 15 in the first embodiment (excluding the modified example), or the deviation tendency calculation unit 16 in the modified example.

[0099] The deviation tendency identification means 16X identifies the tendency of deviation between the target emotion and the actual emotion in terms of the inner state based on a pair of the target emotion and the actual emotion. The deviation tendency identification means 16X can be, for example, the deviation tendency calculation unit 16 in the first embodiment (including modified examples, the same applies below).

[0100] The output control means 17X outputs information relating to the deviation tendency identified by the deviation tendency identifying means 16X. The output control means 17X can be, for example, the output control unit 17 in the first embodiment.

[0101] 18 is an example of a flowchart executed by the information processing device 1X in the third embodiment. The emotion acquisition means 14X acquires a pair of a target emotion, which is a target emotion of the subject, and an actual emotion, which is an actual emotion of the subject (step S21). The deviation tendency identification means 16X identifies a tendency of deviation between the target emotion and the actual emotion with respect to the inner state based on the pair of the target emotion and the actual emotion (step S22). The output control means 17X outputs information related to the tendency of deviation identified by the deviation tendency identification means 16X (step S23).

[0102] The information processing device 1X according to the third embodiment can notify the subject or his / her manager of the discrepancy between the target emotion and the actual emotion of the subject, and can appropriately support understanding and management adjustment of the subject's emotion.

[0103] In each of the above-described embodiments, the program can be stored using various types of non-transitory computer readable media and can be supplied to a computer, such as a processor. The non-transitory computer readable medium includes various types of tangible storage media. Examples of the non-transitory computer readable medium include magnetic storage media (e.g., flexible disks, magnetic tapes, hard disk drives), magneto-optical storage media (e.g., magneto-optical disks), CD-ROM (Read Only Memory), CD-R, CD-R / W, and semiconductor memory (e.g., mask ROM, PROM (Programmable ROM), EPROM (Erasable PROM), flash ROM, and RAM (Random Access Memory)). The program may also be supplied to the computer by various types of transitory computer readable media. Examples of the transitory computer readable medium include electric signals, optical signals, and electromagnetic waves. The transitory computer readable medium can supply the program to the computer via a wired communication path such as an electric wire and an optical fiber, or a wireless communication path.

[0104] In addition, some or all of the above embodiments may be described as, but are not limited to, the following supplementary notes.

[0105] [Appendix 1] An emotion acquisition means for acquiring a pair of a target emotion, which is an emotion to be targeted by a subject, and an actual emotion, which is an actual emotion of the subject; a deviation tendency specification means for specifying a tendency of deviation between the target emotion and the actual emotion with respect to an inner state based on a pair of the target emotion and the actual emotion; an output control means for outputting information regarding the deviation tendency; An information processing device having the above configuration. [Appendix 2] 2. The information processing device according to claim 1, wherein the divergence tendency identification means represents the target emotion and the actual emotion by coordinate values ​​in a coordinate system related to an inner state, and identifies the tendency of the divergence based on a vector identified by the coordinate values ​​of the target emotion and the coordinate values ​​of the actual emotion. [Appendix 3] The information processing device according to claim 2, wherein the output control means determines an output mode of the information regarding the deviation tendency based on a magnitude of the vector. [Appendix 4] The event information acquisition means further includes an event information acquisition means for acquiring event information related to the subject, 4. The information processing device according to any one of claims 1 to 3, wherein the output control means determines an output mode of the information regarding the deviation tendency based on the event information. [Appendix 5] The information processing device according to claim 4, wherein the output control means outputs information relating to the tendency of the deviation for each type of event indicated by the event information. [Appendix 6] The method further comprises: a stress acquisition means for acquiring a degree of stress of the subject for each pair of the target emotion and the actual emotion; 6. The information processing device according to any one of claims 1 to 5, wherein the output control means determines an output mode of the information regarding the deviation tendency based on the level of the stress. [Appendix 7] 7. The information processing device according to claim 6, wherein the output control means preferentially outputs the deviation tendency based on a pair of the target emotion and the actual emotion that causes a higher level of acute stress to the subject. [Appendix 8] a deviation tendency learning means for classifying pairs of the target emotion and the actual emotion based on a level of chronic stress of the subject, and learning a tendency of the deviation for each classification; The information processing device according to claim 6, wherein the output control means outputs a learning result of the deviation tendency by the deviation tendency learning means. [Appendix 9] a deviation tendency learning means for classifying pairs of the target emotion and the actual emotion based on a degree of acute stress of the subject, and learning a tendency of the deviation for each classification; The information processing device according to claim 6, wherein the output control means outputs a learning result of the deviation tendency by the deviation tendency learning means. [Appendix 10] The information processing device according to any one of claims 1 to 9, wherein the emotion acquisition means acquires the target emotion and the actual emotion by accepting an external input specifying the target emotion and the actual emotion. [Appendix 11] The computer A pair of a target emotion, which is an emotion to be targeted by a subject, and an actual emotion, which is an actual emotion of the subject, is obtained; Identifying a tendency of deviation between the target emotion and the actual emotion with respect to an inner state based on the pair of the target emotion and the actual emotion; outputting information regarding the deviation tendency; Control methods. [Appendix 12] A pair of a target emotion, which is an emotion to be targeted by a subject, and an actual emotion, which is an actual emotion of the subject, is obtained; Identifying a tendency of deviation between the target emotion and the actual emotion with respect to an inner state based on the pair of the target emotion and the actual emotion; A storage medium storing a program for causing a computer to execute a process for outputting information relating to the deviation trend.

[0106] Although the present invention has been described above with reference to the embodiments, the present invention is not limited to the above-mentioned embodiments. Various modifications that can be understood by a person skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention. In other words, the present invention naturally includes various modifications and corrections that a person skilled in the art could make in accordance with the entire disclosure, including the claims, and the technical ideas. In addition, the disclosures of the above cited patent documents and the like are incorporated herein by reference. [Explanation of symbols]

[0107] 1, 1A, 1X Information processing equipment 2 Input Devices 3 Output Device 4 Storage device 5 Sensors 8 Terminal Equipment 100, 100A Internal Condition Estimation System

Claims

1. An emotion acquisition means for acquiring a pair of a target emotion, which is an emotion to be targeted by a subject, and an actual emotion, which is an actual emotion of the subject; a deviation tendency specification means for specifying a tendency of deviation between the target emotion and the actual emotion with respect to an inner state based on a pair of the target emotion and the actual emotion; a stress acquisition means for acquiring a degree of stress of the subject for each pair of the target emotion and the actual emotion; an output control means for preferentially outputting the deviation tendency based on a pair of the target emotion and the actual emotion that indicates a higher level of acute stress of the subject; An information processing device having the above configuration.

2. An emotion acquisition means for acquiring a pair of a target emotion, which is an emotion to be targeted by a subject, and an actual emotion, which is an actual emotion of the subject; a deviation tendency specification means for specifying a tendency of deviation between the target emotion and the actual emotion with respect to an inner state based on a pair of the target emotion and the actual emotion; a stress acquisition means for acquiring a degree of stress of the subject for each pair of the target emotion and the actual emotion; a deviation tendency learning means for classifying pairs of the target emotion and the actual emotion based on a level of chronic stress of the subject and learning a tendency of the deviation for each classification; an output control means for outputting a learning result of the deviation tendency by the deviation tendency learning means; An information processing device having the above configuration.

3. An emotion acquisition means for acquiring a pair of a target emotion, which is an emotion to be targeted by a subject, and an actual emotion, which is an actual emotion of the subject; a deviation tendency specification means for specifying a tendency of deviation between the target emotion and the actual emotion with respect to an inner state based on a pair of the target emotion and the actual emotion; a stress acquisition means for acquiring a degree of stress of the subject for each pair of the target emotion and the actual emotion; a deviation tendency learning means for classifying pairs of the target emotion and the actual emotion based on a degree of acute stress of the subject and learning a tendency of the deviation for each classification; an output control means for outputting a learning result of the deviation tendency by the deviation tendency learning means; An information processing device having the above configuration.

4. 4. The information processing device according to claim 1, wherein the divergence tendency identification means represents the target emotion and the actual emotion by coordinate values ​​in a coordinate system related to an inner state, and identifies the tendency of the divergence based on a vector identified by the coordinate values ​​of the target emotion and the coordinate values ​​of the actual emotion.

5. 5. The information processing device according to claim 1, wherein the emotion acquisition means acquires the target emotion and the actual emotion by accepting an external input specifying the target emotion and the actual emotion.

6. The computer A pair of a target emotion, which is an emotion to be targeted by a subject, and an actual emotion, which is an actual emotion of the subject, is obtained; Identifying a tendency of deviation between the target emotion and the actual emotion in terms of an inner state based on the pair of the target emotion and the actual emotion; obtaining a degree of stress of the subject for each pair of the target emotion and the actual emotion; the deviation tendency based on a pair of the target emotion and the actual emotion that has a higher level of acute stress of the subject is preferentially output; Control methods.

7. A pair of a target emotion, which is an emotion to be targeted by a subject, and an actual emotion, which is an actual emotion of the subject, is obtained; Identifying a tendency of deviation between the target emotion and the actual emotion with respect to an inner state based on the pair of the target emotion and the actual emotion; obtaining a degree of stress of the subject for each pair of the target emotion and the actual emotion; The program causing a computer to execute a process of preferentially outputting the deviation tendency based on a pair of the target emotion and the actual emotion that indicates a higher level of acute stress of the subject.

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