Introspection score calculation program, introspection score calculation device, introspection score calculation method, and recording medium

Abstract

To provide a program for deepening individual introspection and scoring the degree of introspection.SOLUTION: An introspection score calculation program disclosed herein includes an information acquisition step, a generation step, a calculation step, and an output step. This program causes a computer to execute each of these steps. The information acquisition step includes acquiring user opinion information on a topic. The generation step includes generating, from the opinion information, inquiry information for the opinion information. The information acquisition step further includes acquiring response information of the user based on the inquiry information. The calculation step includes calculating an introspection score of the user based on the response information. The introspection score is a score that indicates the degree of introspection. The output step includes outputting the introspection score.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present disclosure relates to an introspection score calculation program, an introspection score calculation device, an introspection score calculation method, and a recording medium. [Background technology]

[0002] Patent document 1 discloses a meeting progress support device that includes an information receiving unit that receives input of necessary information required to create a schedule for the meeting, including the scheduled time for the entire meeting in question, and the minimum time that must be secured for each topic to be discussed at the meeting to be an agenda item, and the desired normal required time, and a schedule planning unit that plans the schedule for the meeting in accordance with the necessary information received by the information receiving unit. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] International Publication No. 2002 / 103591 Summary of the Invention [Problem to be solved by the invention]

[0004] In addition to creating a schedule for advancing a meeting, as in Patent Document 1, gathering opinions from the members participating in the meeting and encouraging them to reflect on their actions is also necessary to ensure the smooth running of the meeting. This task of encouraging reflection is usually performed by a facilitator, but facilitation techniques are highly advanced and not something that anyone can do immediately. Furthermore, there is currently no method for presenting a score for the degree of individual reflection.

[0005] Therefore, an object of the present disclosure is to provide an introspection score calculation program, an introspection score calculation device, an introspection score calculation method, and a recording medium for deepening individual introspection and scoring the degree of introspection. [Means for solving the problem]

[0006] In order to achieve the above object, the introspection score calculation program of the present disclosure includes: The method includes an information acquisition procedure, a generation procedure, a calculation procedure, and an output procedure. The information acquisition step acquires user opinion information on the agenda, the generating step generates, from the opinion information, question information for the opinion information; The information acquisition step further includes acquiring answer information of the user based on the question information; the calculation step calculates an introspection score of the user based on the response information; The introspection score is a score that indicates the degree of introspection, The output step outputs the self-reflection score. This is a program for causing a computer to execute each of the above procedures.

[0007] The introspection score calculation device of the present disclosure includes: An information acquisition unit, a generation unit, a calculation unit, and an output unit, the information acquisition unit acquires user opinion information regarding an agenda item; the generation unit generates question information for the opinion information from the opinion information; The information acquisition unit further acquires answer information of the user based on the question information, the calculation unit calculates an introspection score of the user based on the response information; The introspection score is a score that indicates the degree of introspection, The output unit outputs the introspection score.

[0008] The introspection score calculation method of the present disclosure includes: The method includes an information acquisition step, a generation step, a calculation step, and an output step, The information acquisition step acquires information about users' opinions on the agenda, the generating step generates question information for the opinion information from the opinion information; The information acquiring step further includes acquiring answer information of the user based on the question information, the calculation step calculates an introspection score of the user based on the response information; The introspection score is a score that indicates the degree of introspection, The output step outputs the introspection score. The method is one in which each of the steps is performed by a computer.

[0009] The recording medium of the present disclosure is a computer-readable recording medium on which the program of the present disclosure is recorded. [Effects of the Invention]

[0010] According to the present disclosure, it is possible to provide an introspection score calculation program, an introspection score calculation device, an introspection score calculation method, and a recording medium for deepening individual introspection and scoring the degree of introspection. [Brief explanation of the drawings]

[0011] [Figure 1] FIG. 1 is a flowchart showing an example of the procedure of the introspection score calculation program of the present disclosure. [Figure 2] FIG. 2 is a block diagram showing a configuration of an example of the introspection score calculation device of the present disclosure. [Figure 3] FIG. 3 is a block diagram illustrating an example of a hardware configuration of the introspection score calculation device of the present disclosure. [Figure 4] FIG. 4 is a diagram illustrating an example of a procedure for calculating a reflection score using the reflection score calculation device of the present disclosure. [Figure 5] FIG. 5 is a diagram showing an introspection score calculated using the introspection score calculation device of the present disclosure and an example of its use. DETAILED DESCRIPTION OF THE INVENTION

[0012] An embodiment of the present disclosure will be described. Note that the present disclosure is not limited to the following embodiment. Note that in the following drawings, the same parts are assigned the same reference numerals. Furthermore, the descriptions of the embodiments can be used interchangeably unless otherwise specified. Furthermore, the configurations of the embodiments can be combined unless otherwise specified. Furthermore, in each procedure described below in the program of the present disclosure, for example, "procedure" can be read as "processing."

[0013] [Embodiment 1] The reflection score calculation program, the reflection score calculation device, and the reflection score calculation method of the present disclosure will be described.

[0014] First, an example of the introspection score calculation program of the present disclosure will be described with reference to the flowchart of FIG.

[0015] The information acquisition procedure acquires user opinion information regarding a topic (S11). The topic is not particularly limited. The user may be, for example, a plurality of users or a group including a plurality of users. The opinion information may include, for example, at least one of audio information and text information. The information acquisition procedure further acquires the user's response information based on question information (described later) (S13). The information acquisition procedure further acquires, for example, conversation characteristics of the user. The conversation characteristics may include, for example, at least one of the update frequency of the topic, the divergence of the conversation, and the depth of introspection of the user. The update frequency of the topic refers, for example, to the frequency with which a discussion on the topic ends and is changed to another topic. The divergence of the conversation refers, for example, to whether the conversation is divergent or complementary. Furthermore, for example, the degree to which the content of the conversation is consistent with the purpose of the topic. The depth of introspection refers, for example, to the degree to which the user himself / herself reflected on the content of the conversation expressed by the user during the discussion on the topic. The evaluation of the depth of introspection may be, for example, an evaluation by the user by pressing a button displayed on a display or the like of the device 10, which will be described later, or an evaluation by the user by inputting from an input device connected to the device 10, which will be described later (for example, by pressing a physical switch or the like).The evaluation of the depth of introspection may also be evaluated based on the number of times the button is pressed or the number of times input from the input device, etc.

[0016] Next, the generation procedure generates question information in response to the opinion information from the opinion information (S12). The question information is, for example, information for encouraging the user to reflect on the opinion information. The generation of the question information may be, for example, a trained model that outputs the question information in response to the input opinion information. As the trained model, for example, a conventionally known trained model can be used. The generation procedure further, for example, generates a new agenda based on the opinion information. For example, the new agenda may be an agenda included in the opinion information. Furthermore, for example, the new agenda may be an agenda related to the agenda.

[0017] Next, the calculation procedure calculates the user's introspection score based on the response information (S14). The calculation procedure may, for example, calculate the user's introspection score based on the response information and the conversation characteristics. The introspection score is a score that indicates the degree of introspection. The score may, for example, be expressed by a number, a symbol, or the like, but is not particularly limited thereto. The calculation procedure, for example, further calculates the compatibility between the user and the topic based on the introspection score. By calculating the compatibility of the topic, for example, the most suitable topic can be provided to the user, and the discussion can be smoothly advanced by, for example, changing the members discussing the topic. The calculation procedure, for example, further calculates the compatibility between the user and the new topic based on the introspection score. By calculating the compatibility of the new topic, for example, the most suitable topic can be provided to the user or members with good compatibility can be gathered, and the discussion on the new topic can be smoothly advanced. The program of the present disclosure may determine the people or members who will discuss the topic or the new topic based on the calculated compatibility, for example.

[0018] Next, the output step outputs the introspection score (S14). The output step, for example, further outputs the compatibility between the user and the topic. The output step, for example, further outputs the compatibility between the user and the new topic. The output is not particularly limited, but may be, for example, output by an output device of the device 10 described below or an output device provided in another device.

[0019] According to the present disclosure, even if there is no excellent facilitator, for example, the user can deepen their introspection on the topic, thereby allowing the discussion to proceed smoothly. Furthermore, as described above, the output results can be used as a basis for consideration in providing the user with the most suitable topic, allowing the discussion to proceed smoothly by, for example, changing the members discussing the topic. Furthermore, by providing the user with the most suitable topic and gathering members who are compatible with each other, the discussion on the new topic can proceed smoothly.

[0020] Next, an example of the introspection score calculation device of the present disclosure will be described with reference to FIGS.

[0021] Fig. 2 is a block diagram showing an example configuration of an introspection score calculation device 10 (the device 10) of the present disclosure. As shown in Fig. 2, the device 10 includes an information acquisition unit 11, a generation unit 12, a calculation unit 13, and an output unit 14. Although not shown, the device 10 of the present disclosure can be connected to a translation device of the present disclosure, which will be described later, via a communication network 30.

[0022] The device 10 may be, for example, a single device including the above-described units, or a device in which the units can be connected via a communication network. The device 10 can also be connected to an external device (described later) via the communication network. The communication network is not particularly limited and any known network can be used, for example, a wired or wireless network. Examples of the communication network include the Internet, the World Wide Web (WWW), a telephone line, a Local Area Network (LAN), a Storage Area Network (SAN), a Delay Tolerant Networking (DTN), a Low Power Wide Area Network (LPWA), and a Local 5G (L5G). Examples of wireless communication include Wi-Fi (registered trademark), Bluetooth (registered trademark), Local 5G, and LPWA. Examples of the wireless communication include direct communication between devices (Ad Hoc communication), infrastructure communication, and indirect communication via an access point. The device 10 may be incorporated into a server as a system. Furthermore, the present device 10 may be, for example, a personal computer (PC, for example, desktop or notebook type) on which the program of the present disclosure is installed, a smartphone, a tablet terminal, etc. The present device 10 may be in the form of cloud computing or edge computing, for example, in which at least one of the above-mentioned units is located on a server and the other units are located on a terminal.

[0023] 3 shows a block diagram of the hardware configuration of the device 10. The device 10 includes, for example, a central processing unit (CPU, GPU, etc.) 101, a memory 102, a bus 103, a storage device 104, an input device 105, an output device 106, and a communication device 107. The components of the device 10 are connected to each other via the bus 103 and their respective interfaces (I / F).

[0024] The central processing unit 101 operates in cooperation with other components via a controller (such as a system controller or an I / O controller) and is responsible for overall control of the device 10. In the device 10, the central processing unit 101 executes, for example, the program of the present disclosure and other programs, and also reads and writes various types of information. Specifically, for example, the central processing unit 101 functions as an information acquisition unit 11, a generation unit 12, a calculation unit 13, and an output unit 14. The central processing unit 101 may include, as a computing device, a CPU, a GPU (Graphics Processing Unit), an APU (Accelerated Processing Unit), or a combination of these.

[0025] The bus 103 can also be connected to, for example, an external device. Examples of the external device include an external storage device such as an external database, a printer, an external input device, an external display device, an external imaging device, etc. The device 10 can be connected to an external network (the communication line network) by, for example, a communication device 107 connected to the bus 103, and can also be connected to other devices via the external network.

[0026] The memory 102 may be, for example, a main memory (primary storage device). When the central processing unit 101 performs processing, the memory 102 reads various operating programs, such as the program of the present disclosure, stored in the storage device 104 (described later), and the central processing unit 101 receives data from the memory 102 and executes the programs. The main memory may be, for example, a RAM (random access memory). The memory 102 may also be, for example, a ROM (read only memory).

[0027] The storage device 104 is also referred to as a so-called auxiliary storage device, for example, in contrast to the main memory (primary storage device). As described above, the storage device 104 stores an operating program including the program of the present disclosure. The storage device 104 may be, for example, a combination of a recording medium and a drive that reads and writes from and to the recording medium. The recording medium is not particularly limited and may be, for example, an internal or external type, such as a hard disk (HD), CD-ROM, CD-R, CD-RW, MO, DVD, flash memory, or memory card. The storage device 104 may be, for example, a hard disk drive (HDD) or a solid state drive (SSD) in which the recording medium and drive are integrated.

[0028] In the present device 10, the memory 102 and the storage device 104 can also store various information such as log information, information acquired from an external database (not shown) or an external device, information generated by the present device 10, and information used when the present device 10 executes processing. In this case, the memory 102 and the storage device 104 may store, for example, the opinion information, the response information, etc. Note that at least a portion of the information may be stored, for example, in an external server other than the memory 102 and the storage device 104, or may be stored in a distributed manner across multiple terminals using blockchain technology or the like.

[0029] The device 10 further includes, for example, an input device 105 and an output device 106. Examples of the input device 105 include pointing devices such as a touch panel, track pad, and mouse; a keyboard; imaging means such as a camera and scanner; card readers such as an IC card reader and a magnetic card reader; and audio input means such as a microphone. Examples of the output device 106 include display devices such as an LED display and a liquid crystal display; audio output devices such as a speaker; a printer; and the like. In the present disclosure, the input device 105 and the output device 106 are configured separately, but the input device 105 and the output device 106 may also be configured as an integrated device, such as a touch panel display.

[0030] Next, the introspection score calculation method of the present disclosure will be described.

[0031] The introspection score calculation method of the present disclosure can be implemented by using the descriptions of the program and introspection score calculation device of the present disclosure. The introspection score calculation method of the present disclosure is a method implemented by replacing each "procedure" in the program of the present disclosure with a "process." Specifically, the introspection score calculation method of the present disclosure includes an information acquisition process, a generation process, a calculation process, and an output process. The introspection score calculation method of the present disclosure can be implemented using, for example, the device 10 of FIG. 2. Note that the introspection score calculation method of the present disclosure is not limited to use of the device 10 of FIG. 2.

[0032] [Embodiment 2] A procedure for calculating a reflection score using the reflection score calculation device of the present disclosure will be described with specific examples using Figures 4 and 5. Note that, in the present disclosure, an example using the device 10 is shown, but the present disclosure is not limited to this. Also, in the present disclosure, an example of calculating a reflection score in a meeting is shown, but the present disclosure is not limited to this.

[0033] As shown in FIG. 4, first, members (users) participating in the meeting exchange opinions as opinion information on the agenda of the meeting. The device 10 acquires the submitted opinions as the opinion information by voice, text, or the like. The device 10 generates the question information in response to the acquired opinion information. In the present disclosure, the trained model described above is exemplified, but the present disclosure is not limited to this. A user who receives the question information from the device 10 inputs the user's own thoughts on the opinion information to the device 10 as response information. The device 10, which has acquired the response information, calculates the user's introspection score based on the response information. Thereafter, the device 10 outputs the introspection score. At this time, the device 10 may output the compatibility between the user and the agenda. The device 10 may also generate a new agenda based on the opinion information, calculate the calculated introspection score, and the compatibility between the user and the new agenda, and output these.

[0034] As shown in Figure 5, when the device 10 acquires the conversation characteristics, the introspection score of the user is calculated based on the response information and the conversation characteristics. Also, as shown in Figure 5, when the conversation characteristics of the members participating in the meeting are evaluated, the compatibility between the members (for example, the degree of agreement of opinions) can be further analyzed based on the evaluation results. By rearranging the members based on the analysis results, the discussion in the meeting can proceed more smoothly.

[0035] Next, the device 10 generates translation instruction information that combines the translation target sentence and the translation background information. The present disclosure also uses a template prompt. The prompt can be customized by the user through editing, etc.

[0036] Next, the device 20 of the present disclosure translates the translation target sentence based on the translation instruction information. In the present disclosure, an example of performing translation using a large-scale language model has been shown, but the present disclosure is not limited to this.

[0037] [Embodiment 3] The program of the present disclosure may be recorded on, for example, a computer-readable recording medium. The recording medium may be, for example, a non-transitory computer-readable storage medium. The recording medium is not particularly limited, and examples thereof include random access memory (RAM), read-only memory (ROM), hard disk (HD), flash memory (e.g., USB flash memory, SD / SDHC card, etc.), optical disk (e.g., CD-R / CD-RW, DVD-R / DVD-RW, BD-R / BD-RE, etc.), magneto-optical disk (MO), floppy disk (FD), etc. Furthermore, the program of the present disclosure (also referred to as, for example, a programming product or program product) may be distributed from, for example, an external computer. The "distribution" may be, for example, distribution via a communication network or via a device connected via a wired connection. The program of the present disclosure may be installed and executed on the device to which it is distributed, or may be executed without being installed.

[0038] Although the present disclosure has been described above with reference to the embodiments, the present disclosure is not limited to the above embodiments. The configuration and conditions of the present disclosure may be modified in various ways that are understandable to those skilled in the art within the scope of the present disclosure.

[0039] <Additional Notes> Some or all of the above embodiments can be described as, but not limited to, the following supplementary notes. (Appendix 1) The method includes an information acquisition procedure, a generation procedure, a calculation procedure, and an output procedure. The information acquisition step acquires user opinion information on the agenda, the generating step generates, from the opinion information, question information for the opinion information; The information acquisition step further includes acquiring answer information of the user based on the question information; the calculation step calculates an introspection score of the user based on the response information; The introspection score is a score that indicates the degree of introspection, The output step outputs the self-reflection score. An introspection score calculation program for causing a computer to execute each of the above steps. (Appendix 2) The calculation step further calculates a compatibility between the user and the topic based on the introspection score; The output step further includes outputting the compatibility between the user and the agenda. The self-reflection score calculation program described in Appendix 1. (Appendix 3) The generating step further includes generating a new agenda based on the opinion information; The calculation step further calculates a compatibility between the user and the new topic based on the introspection score; The output step further includes outputting the compatibility between the user and the new topic. The introspection score calculation program described in Appendix 1 or 2. (Appendix 4) The information acquisition step further includes acquiring a conversation characteristic of the user; The conversation characteristics include at least one of an update frequency of the topic, a divergence of the conversation, and a depth of reflection of the user; the calculation step calculates an introspection score of the user based on the response information and the conversation characteristics. An introspection score calculation program according to any one of appendices 1 to 3. (Appendix 5) 5. The introspection score calculation program according to any one of appendices 1 to 4, wherein the opinion information includes at least one of audio information and text information. (Appendix 6) An information acquisition unit, a generation unit, a calculation unit, and an output unit, the information acquisition unit acquires user opinion information regarding an agenda item; the generation unit generates question information for the opinion information from the opinion information; The information acquisition unit further acquires answer information of the user based on the question information, the calculation unit calculates an introspection score of the user based on the response information; The introspection score is a score that indicates the degree of introspection, The output unit outputs the introspection score. Introspection score calculation device. (Appendix 7) The calculation unit further calculates a compatibility between the user and the topic based on the introspection score, The output unit further outputs the compatibility between the user and the topic. 7. The introspection score calculation device according to claim 6. (Appendix 8) The generation unit further generates a new agenda based on the opinion information, The calculation unit further calculates a compatibility between the user and the new topic based on the introspection score, The output unit further outputs the compatibility between the user and the new topic. 8. The introspection score calculation device according to claim 6 or 7. (Appendix 9) The information acquisition unit further acquires conversation characteristics of the user, The conversation characteristics include at least one of an update frequency of the topic, a divergence of the conversation, and a depth of reflection of the user; the calculation unit calculates an introspection score of the user based on the response information and the conversation characteristics. An introspection score calculation device according to any one of appendices 6 to 8. (Appendix 10) 10. The reflection score calculation device according to any one of appendices 6 to 9, wherein the opinion information includes at least one of audio information and text information. (Appendix 11) The method includes an information acquisition step, a generation step, a calculation step, and an output step, The information acquisition step acquires information about users' opinions on the agenda, the generating step generates question information for the opinion information from the opinion information; The information acquiring step further includes acquiring answer information of the user based on the question information, the calculation step calculates an introspection score of the user based on the response information; The introspection score is a score that indicates the degree of introspection, The output step outputs the introspection score. An introspection score calculation method in which each of the steps is executed by a computer. (Appendix 12) The calculation step further includes calculating a compatibility between the user and the topic based on the introspection score; The output step further includes outputting the compatibility between the user and the topic. The method for calculating the self-reflection score is described in Appendix 11. (Appendix 13) The generating step further includes generating a new agenda based on the opinion information; The calculation step further calculates a compatibility between the user and the new topic based on the introspection score; The output step further includes outputting the compatibility between the user and the new topic. 13. A method for calculating an introspection score as described in Appendix 11 or 12. (Appendix 14) The information acquiring step further includes acquiring a conversation characteristic of the user; The conversation characteristics include at least one of an update frequency of the topic, a divergence of the conversation, and a depth of reflection of the user; the calculation step calculates an introspection score of the user based on the response information and the conversation characteristics. 14. A method for calculating an introspection score according to any one of appendices 11 to 13. (Appendix 15) 15. An introspection score calculation method according to any one of appendices 11 to 14, wherein the opinion information includes at least one of audio information and text information. (Appendix 16) The method includes an information acquisition procedure, a generation procedure, a calculation procedure, and an output procedure. The information acquisition step acquires user opinion information on the agenda, the generating step generates, from the opinion information, question information for the opinion information; The information acquisition step further includes acquiring answer information of the user based on the question information; the calculation step calculates an introspection score of the user based on the response information; The introspection score is a score that indicates the degree of introspection, The output step outputs the self-reflection score. A computer-readable recording medium that records a program for causing a computer to execute each of the above procedures. (Appendix 17) The calculation step further calculates a compatibility between the user and the topic based on the introspection score; The output step further includes outputting the compatibility between the user and the agenda. 17. A recording medium as described in Appendix 16. (Appendix 18) The generating step further includes generating a new agenda based on the opinion information; The calculation step further calculates a compatibility between the user and the new topic based on the introspection score; The output step further includes outputting the compatibility between the user and the new topic. 18. A recording medium according to claim 16 or 17. (Appendix 19) The information acquisition step further includes acquiring a conversation characteristic of the user; The conversation characteristics include at least one of an update frequency of the topic, a divergence of the conversation, and a depth of reflection of the user; the calculation step calculates an introspection score of the user based on the response information and the conversation characteristics. 19. A recording medium according to any one of appendices 16 to 18. (Appendix 20) 20. The recording medium according to any one of appendices 16 to 19, wherein the opinion information includes at least one of audio information and text information. [Industrial Applicability]

[0040] According to the present disclosure, it is possible to provide an introspection score calculation program, an introspection score calculation device, an introspection score calculation method, and a recording medium for deepening individual introspection and scoring the degree of introspection. The fields to which the present disclosure can be applied are not limited, and the program of the present disclosure is useful in various fields. [Explanation of symbols]

[0041] 10. Self-reflection score calculation device 11 Information acquisition department 12 Generation part 13 Calculation section 14 Output section 101, 201 CPU 102, 202 memory Buses 103 and 203 104, 204 Storage device 105, 205 Input device 106, 206 Output device 107, 207 Communication devices

Claims

1. The method includes an information acquisition procedure, a generation procedure, a calculation procedure, and an output procedure. The information acquisition step acquires user opinion information on the agenda, the generating step generates, from the opinion information, question information for the opinion information; The information acquisition step further includes acquiring answer information of the user based on the question information; the calculation step calculates an introspection score of the user based on the response information; The introspection score is a score that indicates the degree of introspection, The output step outputs the self-reflection score. An introspection score calculation program for causing a computer to execute each of the above steps.

2. The calculation step further calculates a compatibility between the user and the topic based on the introspection score; The output step further includes outputting the compatibility between the user and the agenda. The introspection score calculation program according to claim 1.

3. The generating step further includes generating a new agenda based on the opinion information; The calculation step further calculates a compatibility between the user and the new topic based on the introspection score; The output step further includes outputting the compatibility between the user and the new topic. The introspection score calculation program according to claim 1 or 2.

4. The information acquisition step further includes acquiring a conversation characteristic of the user; The conversation characteristics include at least one of an update frequency of the topic, a divergence of the conversation, and a depth of reflection of the user; the calculation step calculates an introspection score of the user based on the response information and the conversation characteristics. The introspection score calculation program according to claim 1 or 2.

5. The introspection score calculation program according to claim 1 , wherein the opinion information includes at least one of voice information and text information.

6. An information acquisition unit, a generation unit, a calculation unit, and an output unit, the information acquisition unit acquires user opinion information regarding an agenda item; the generation unit generates question information for the opinion information from the opinion information; The information acquisition unit further acquires answer information of the user based on the question information, the calculation unit calculates an introspection score of the user based on the response information; The introspection score is a score that indicates the degree of introspection, The output unit outputs the introspection score. Introspection score calculation device.

7. The calculation unit further calculates a compatibility between the user and the topic based on the introspection score, The output unit further outputs the compatibility between the user and the topic. The introspection score calculation device according to claim 6 .

8. The generation unit further generates a new agenda based on the opinion information, The calculation unit further calculates a compatibility between the user and the new topic based on the introspection score, The output unit further outputs the compatibility between the user and the new topic. The introspection score calculation device according to claim 6 or 7.

9. The method includes an information acquisition step, a generation step, a calculation step, and an output step, The information acquisition step acquires information about users' opinions on the agenda, the generating step generates question information for the opinion information from the opinion information; The information acquiring step further includes acquiring answer information of the user based on the question information, the calculation step calculates an introspection score of the user based on the response information; The introspection score is a score that indicates the degree of introspection, The output step outputs the introspection score. An introspection score calculation method in which each of the steps is executed by a computer.

10. The method includes an information acquisition procedure, a generation procedure, a calculation procedure, and an output procedure. The information acquisition step acquires user opinion information on the agenda, the generating step generates, from the opinion information, question information for the opinion information; The information acquisition step further includes acquiring answer information of the user based on the question information; the calculation step calculates an introspection score of the user based on the response information; The introspection score is a score that indicates the degree of introspection, The output step outputs the self-reflection score. A computer-readable recording medium that records a program for causing a computer to execute each of the above procedures.

Images