Information processing device, program, information processing system, and information processing method

Abstract

An information processing device (150) is provided with: an acquisition unit (171) for acquiring examination information indicating the content of examination performed in order to select one option from among a plurality of the options, between a first user and a second user; and an identification control unit (172) for inferring, from personal characteristics of the first user, one option selected by the first user from among the plurality of options, as a first inference option, and inferring, from personal characteristics of the second user, one option selected by the second user from the plurality of options, as a second inference option.

Description

[Technical Field]

[0001] The present disclosure relates to an information processing device, a program, an information processing system, and an information processing method. [Background technology]

[0002] When people consider something, they evaluate the evaluation items that serve as the basis for their decision and make a comprehensive selection. For this reason, systems have been developed that ask questions about the area of ​​consideration when a person is considering a decision and use the answers to support the person in making a selection.

[0003] For example, Patent Document 1 describes a selection consideration support system that includes an importance estimation means for estimating how important each evaluation item in a field of consideration is, and a recommendation calculation means for calculating how much each selection candidate can be recommended to a considerer based on evaluation data for each evaluation item for each selection candidate and the considerer's importance for each evaluation item estimated by the importance estimation means. This makes it possible to support a considerer in making a decision that matches their importance. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Laid-Open No. 2003-108824 Summary of the Invention [Problem to be solved by the invention]

[0005] However, conventional systems support selection by calculating the recommendation level of each selection candidate based on the importance level, which poses a problem in that the burden of inputting information required to calculate the recommendation level of each selection candidate is large.

[0006] Therefore, one or more aspects of the present disclosure aim to reduce the burden on users of inputting information related to review support. [Means for solving the problem]

[0007] An information processing device according to an embodiment of the present disclosure is configured to: and personal characteristic information indicating at least a personal characteristic of the first user and a personal characteristic of the second user. an acquisition unit that acquires the a storage unit that stores the consideration information and the personal characteristic information, and identifies the consideration information stored in the storage unit; and a specific control unit that, based on a personal characteristic of the first user, infers one option selected by the first user from the plurality of options as a first inferred option, and, based on a personal characteristic of the second user, infers one option selected by the second user from the plurality of options as a second inferred option, wherein the personal characteristic is inferred regardless of the plurality of options in the content of the consideration indicated by the consideration information. the consideration information includes a consideration name for identifying the consideration and an evaluation item for evaluating the plurality of options, and the identification control unit infers the first inferred option according to a combination of the consideration name, the evaluation item, and a personal characteristic of the first user, and infers the second inferred option according to a combination of the consideration name, the evaluation item, and a personal characteristic of the second user. It is characterized by:

[0008] A program according to an embodiment of the present disclosure includes: a program for causing a computer to receive consideration information indicating the content of a consideration made between a first user and a second user to select one option from a plurality of options; and personal characteristic information indicating at least a personal characteristic of the first user and a personal characteristic of the second user. An acquisition unit that acquires Identifying a storage unit that stores the consideration information and the personal characteristic information, and the consideration information stored in the storage unit; and a specific control unit that, based on a personal characteristic of the first user, estimates one option selected by the first user from the plurality of options as a first estimated option, and that, based on a personal characteristic of the second user, estimates one option selected by the second user from the plurality of options as a second estimated option, wherein the personal characteristic is estimated regardless of the plurality of options in the content of the consideration indicated in the consideration information. the consideration information includes a consideration name for identifying the consideration and an evaluation item for evaluating the plurality of options, and the identification control unit infers the first inferred option according to a combination of the consideration name, the evaluation item, and a personal characteristic of the first user, and infers the second inferred option according to a combination of the consideration name, the evaluation item, and a personal characteristic of the second user. It is characterized by:

[0009] An information processing system according to an embodiment of the present disclosure includes: a first user and a second user; a second user; and a selection unit configured to select one option from a plurality of options; and personal characteristic information indicating at least a personal characteristic of the first user and a personal characteristic of the second user. an acquisition unit that acquires the a storage unit that stores the consideration information and the personal characteristic information, and identifies the consideration information stored in the storage unit;and a specific control unit that, based on a personal characteristic of the first user, infers one option selected by the first user from the plurality of options as a first inferred option, and, based on a personal characteristic of the second user, infers one option selected by the second user from the plurality of options as a second inferred option, wherein the personal characteristic is inferred regardless of the plurality of options in the content of the consideration indicated by the consideration information. the consideration information includes a consideration name for identifying the consideration and an evaluation item for evaluating the plurality of options, and the identification control unit infers the first inferred option according to a combination of the consideration name, the evaluation item, and a personal characteristic of the first user, and infers the second inferred option according to a combination of the consideration name, the evaluation item, and a personal characteristic of the second user. It is characterized by:

[0010] An information processing method according to an aspect of the present disclosure includes: an acquisition unit acquiring consideration information indicating content of considerations made between a first user and a second user to select one option from a plurality of options; and personal characteristic information indicating at least a personal characteristic of the first user and a personal characteristic of the second user. Get a storage unit stores the review information and the personal characteristic information; The specific control unit: Identifying the review information stored in the storage unit; The identification control unit estimates, from a personal characteristic of the first user, one option selected by the first user from the plurality of options as a first estimated option, and, from a personal characteristic of the second user, estimates, from the personal characteristic of the second user, one option selected by the second user from the plurality of options as a second estimated option, the personal characteristic being estimated regardless of the plurality of options in the content of the consideration indicated in the consideration information. the consideration information includes a consideration name for identifying the consideration and an evaluation item for evaluating the plurality of options, and the identification control unit infers the first inferred option according to a combination of the consideration name, the evaluation item, and a personal characteristic of the first user, and infers the second inferred option according to a combination of the consideration name, the evaluation item, and a personal characteristic of the second user. It is characterized by: [Effects of the Invention]

[0011] According to one or more aspects of the present disclosure, it is possible to reduce the burden on a user to input information regarding review support. [Brief explanation of the drawings]

[0012] [Figure 1] 1 is a block diagram schematically illustrating a configuration of an information processing system according to a first embodiment. [Figure 2] FIG. 1 is a block diagram illustrating a schematic configuration of a personal characteristic estimation device. [Figure 3] FIG. 1 is a block diagram illustrating a schematic configuration of a computer. [Figure 4] FIG. 2 is a block diagram illustrating a configuration of a review acquisition device. [Figure 5] FIG. 2 is a block diagram illustrating a schematic configuration of a rating acquisition device. [Figure 6] FIG. 2 is a block diagram illustrating a schematic configuration of a terminal. [Figure 7] 1 is a block diagram schematically showing a configuration of an information processing device according to a first embodiment. [Figure 8] FIG. 10 is a schematic diagram illustrating an example of a personal characteristic information management table. [Figure 9] FIG. 10 is a schematic diagram illustrating an example of a consideration information management table. [Figure 10] FIG. 2 is a schematic diagram illustrating an example of an evaluation information management table. [Figure 11] FIG. 3 is a schematic diagram showing an example of an evaluation estimation table according to the first embodiment. [Figure 12] 4 is a sequence diagram showing an example of operations performed between the information processing device and the individual characteristic estimation device in the first embodiment. FIG. [Figure 13] 4 is a sequence diagram showing an example of an operation performed between the information processing device and the review acquisition device in the first embodiment. FIG. [Figure 14] 4 is a sequence diagram showing an example of operations performed between the information processing device and the evaluation acquisition device in the first embodiment. FIG. [Figure 15] 10 is a flowchart showing an outline of an operation performed by a specific control unit of the information processing device. [Figure 16] 10 is a flowchart illustrating an example of an estimated evaluation estimation process according to the first embodiment. [Figure 17] 10 is a flowchart showing an example of a voluntary evaluation input process according to the first embodiment. [Figure 18] 10 is a flowchart showing an example of a process for recommending empathy evaluation items according to the first embodiment. [Figure 19] FIG. 10 is a block diagram schematically illustrating a configuration of an information processing device according to a second embodiment. [Figure 20] FIG. 11 is a block diagram schematically illustrating a configuration of an information processing system according to a third embodiment. [Figure 21] FIG. 11 is a block diagram schematically illustrating the configuration of an external environment acquisition device according to a third embodiment. [Figure 22] FIG. 11 is a block diagram schematically illustrating a configuration of an information processing device according to a third embodiment. [Figure 23] FIG. 11 is a schematic diagram showing an example of an evaluation estimation table in the third embodiment. [Figure 24] FIG. 10 is a schematic diagram illustrating an example of an external environment information management table. [Figure 25] FIG. 11 is a sequence diagram showing an example of an operation performed between the information processing device and the external environment acquisition device in the third embodiment. [Figure 26] 11 is a flowchart illustrating an example of an estimated evaluation estimation process according to the third embodiment. [Figure 27] FIG. 10 is a block diagram schematically illustrating a configuration of an information processing device according to a fourth embodiment. [Figure 28] 13 is a flowchart showing an example of a voluntary evaluation input process according to the fourth embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0013] Embodiment 1 FIG. 1 is a block diagram schematically illustrating a configuration of an information processing system 100 according to the first embodiment. The information processing system 100 includes a personal characteristic estimation device 110 , a review acquisition device 120 , an evaluation acquisition device 130 , a terminal 140 , and an information processing device 150 . The personal characteristic estimation device 110, the consideration acquisition device 120, the evaluation acquisition device 130, the terminal 140, and the information processing device 150 communicate with each other via a network 101 such as the Internet. For example, the personal characteristic estimation device 110, the consideration acquisition device 120, the evaluation acquisition device 130, the terminal 140, and the information processing device 150 can be connected to the network 101 wirelessly.

[0014] The individual characteristic estimation device 110 is a device that estimates individual characteristics. Individual characteristics are characteristics related to an individual. For example, individual characteristics are made up of a plurality of values ​​corresponding to a plurality of categories such as gender, age, and personality. In the following description, the categories of individual characteristics are assumed to be gender, age, and personality. Note that personality may include a plurality of categories.

[0015] Personality may be represented, for example, by the Big Five personality traits, also known as the Five-Factor Model. The Big Five personality traits are represented by openness, conscientiousness, extraversion, agreeableness, and neuroticism. Openness represents the degree to which one likes new experiences or variety. Openness may also be rephrased as openness to experience. Conscientiousness represents the degree to which one is ambitious, achievement-oriented, or tends to like planned behavior. Conscientiousness may also be rephrased as conscientiousness. Extraversion represents the degree to which one likes to socialize or converse with others. Agreeableness represents the degree to which one tends to be cooperative with others. Agreeableness may also be rephrased as agreeableness or affability. Neuroticism represents the degree to which one has an unstable personality and is prone to experiencing unpleasant emotions. Instead of neuroticism, personality may be represented by emotional stability.

[0016] Personality is expressed by parameters for openness, conscientiousness, extraversion, agreeableness, and neuroticism. Personality may also be expressed by the degree of each of openness, conscientiousness, extraversion, agreeableness, and neuroticism. For example, personality may be expressed as high openness or low openness. The Big Five personality traits are described in the following reference 1.

[0017] Personality may also be expressed by a parameter indicating the strength of self-control. Self-control is the ability to pursue desirable behaviors and inhibit undesirable behaviors of one's own volition when faced with temptations or impulses. Self-control is described in Reference 2 below. Furthermore, personality may be represented by parameters defined in the field of psychology.

[0018] FIG. 2 is a block diagram showing a schematic configuration of the individual characteristic estimation device 110. As shown in FIG. The individual characteristic estimation device 110 includes a communication unit 111 , an information acquisition unit 112 , and an individual characteristic estimation unit 113 .

[0019] The communication unit 111 performs communication via the network 101 . The information acquisition unit 112 acquires information about the individual characteristics, which is information necessary for estimating the individual characteristics, from the terminal 140 via the communication unit 111. The acquired information about the individual characteristics is provided to the individual characteristic estimation unit 113.

[0020] The information on personal characteristics may be, for example, questionnaire response information indicating answers to a questionnaire from which at least one of gender, age, and personality can be estimated. Furthermore, the information on personal characteristics may be image information indicating still or video images of an individual. Furthermore, the information on personal characteristics may be audio information recording an individual's voice. Furthermore, the information on personal characteristics may be history information indicating an individual's approved purchase history or website viewing history. Furthermore, the information on personal characteristics may be an individual's posting history on a social networking service (SNS). The information relating to personal characteristics may be such that the gender, age, and personality of an individual can be estimated by combining the information exemplified above. Furthermore, the information relating to personal characteristics includes a user ID, which is identification information for identifying an individual user.

[0021] The individual characteristic estimation unit 113 estimates individual characteristics from information related to the individual characteristics. Here, the individual characteristic estimation unit 113 estimates the gender, age, and personality of an individual. For example, the individual characteristic estimation unit 113 can estimate the gender, age, and personality of an individual by inputting the information related to the individual characteristics into a learning model.

[0022] The individual characteristic estimation unit 113 may estimate the personality of an individual based on the history of the individual's input of "likes" or the like on the SNS or the history of the individual's postings on the SNS. Such estimation is described in the following document 3.

[0023] Then, the personal characteristic estimation unit 113 generates personal characteristic information indicating the user ID and the estimated gender, age, and personality of the individual, and sends the personal characteristic information to the information processing device 150 via the communication unit 111.

[0024] The above-described individual characteristic estimation device 110 can be configured by, for example, a computer 10 as shown in FIG. FIG. 3 is a block diagram showing a schematic configuration of the computer 10. As shown in FIG. The computer 10 includes a nonvolatile storage device 11 , a volatile storage device 12 , a processor 13 , a communication I / F (Interface) 14 , an input device 15 , and a display 16 .

[0025] The nonvolatile storage device 11 is an auxiliary storage device of the information processing device 150. For example, the nonvolatile storage device 11 is a hard disk drive (HDD) or a solid state drive (SSD). The volatile storage device 12 is a main storage device of the information processing device 150. For example, the volatile storage device 12 is a RAM (Random Access Memory). The processor 13 controls the entire information processing device 150. For example, the processor 13 is a central processing unit (CPU) or a field programmable gate array (FPGA), etc. The processor 13 may be a multiprocessor. It should be noted that computer 10 may include processing circuitry for performing specific processing. The communication I / F 14 is connected to the network 101 and performs communication via the network 101 . The input device 15 is a device such as a keyboard, a mouse, and a microphone that accepts input from the user. The display 16 is a device that displays various screens. The input device 15 and the display 16 may be, for example, a touch panel.

[0026] For example, the information acquisition unit 112 and the individual characteristic estimation unit 113 can be realized by reading a program stored in the nonvolatile storage device 11 into the volatile storage device 12 and having the processor 13 execute the program. Such a program may be provided via the network 101, or may be provided by being recorded on a recording medium. That is, such a program may be provided as a program product, for example. The communication unit 111 can be realized by the communication I / F 14 .

[0027] Returning to FIG. 1, the study acquisition device 120 is a device that acquires information about studies. FIG. 4 is a block diagram showing a schematic configuration of the review acquisition device 120. As shown in FIG. The review acquisition device 120 includes a communication unit 121 and an information acquisition unit 122 .

[0028] The communication unit 121 performs communication via the network 101 . The information acquisition unit 122 acquires information related to the study from the terminal 140 via the communication unit 121 .

[0029] The information about the study is, for example, text information or audio information that can identify the user ID, the study name, options, and evaluation items. The user ID is user identification information for identifying the user who is making the review. The study name is the name of the study as study identification information for identifying the item to be studied. Options are options to consider. The evaluation items are items that are used to evaluate options when conducting a review.

[0030] Then, the information acquisition unit 122 sends consideration information indicating the user ID, consideration name, options, and evaluation items to the information processing device 150 via the communication unit 121. Here, the user ID, consideration name, options, and evaluation items indicated in the consideration information are also referred to as the content of the consideration. For example, when a consideration is conducted between a first user and a second user, consideration information indicating the content of the consideration conducted between the first user and the second user to select one option from multiple options may be sent to the information processing device 150.

[0031] The above-described review acquisition device 120 can be configured by, for example, a computer 10 as shown in FIG. For example, the information acquisition unit 122 can be realized by reading a program stored in the nonvolatile storage device 11 into the volatile storage device 12 and having the processor 13 execute the program. The communication unit 121 can be realized by the communication I / F 14.

[0032] Returning to FIG. 1, the evaluation acquisition device 130 is a device that acquires information related to evaluations. FIG. 5 is a block diagram showing a schematic configuration of the evaluation acquisition device 130. As shown in FIG. The evaluation acquisition device 130 includes a communication unit 131 and an information acquisition unit 132 .

[0033] The communication unit 131 performs communication via the network 101 . The information acquisition unit 132 acquires information about the evaluation from the terminal 140 via the communication unit 131 .

[0034] The information about the evaluation is, for example, text information or audio information that can identify the user ID, the study name, the evaluation items, the options, and the evaluation. The rating is information indicating that a user identified by a user ID has rated an evaluation item in an option in a study identified by a study name.

[0035] Then, the information acquisition unit 132 sends evaluation information indicating the user ID, the study name, the evaluation items, the options, and the evaluation to the information processing device 150 via the communication unit 131. Here, the evaluation indicated in the evaluation information is also referred to as a self-evaluation, and the options indicated in the evaluation information are also referred to as a self-selected option.

[0036] The evaluation acquisition device 130 described above can be configured, for example, by a computer 10 as shown in FIG. For example, the information acquisition unit 132 can be realized by reading a program stored in the nonvolatile storage device 11 into the volatile storage device 12 and having the processor 13 execute the program. The communication unit 131 can be realized by the communication I / F 14 .

[0037] Returning to FIG. 1, terminal 140 is a device used by a user. FIG. 6 is a block diagram showing a schematic configuration of the terminal 140. As shown in FIG. The terminal 140 includes a communication unit 141 , an input unit 142 , a display unit 143 , and a processing unit 144 .

[0038] The communication unit 141 performs communication via the network 101 . The input unit 142 accepts input from the user. The display unit 143 displays various screens.

[0039] The processing unit 144 controls the processing in the terminal 140 . For example, the processing unit 144 displays the necessary screen on the display unit 143 and receives the necessary information via the input unit 142, thereby generating information on personal characteristics, information on consideration, and information on evaluation. Then, the processing unit 144 sends information regarding personal characteristics to the personal characteristic estimation device 110 via the communication unit 141, sends information regarding the consideration to the consideration acquisition device 120 via the communication unit 141, and sends information regarding the evaluation to the evaluation acquisition device 130 via the communication unit 141.

[0040] The terminal 140 described above can be configured, for example, by a computer 10 as shown in FIG. For example, the processing unit 144 can be realized by reading a program stored in the nonvolatile storage device 11 into the volatile storage device 12 and having the processor 13 execute the program.

[0041] The communication unit 141 can be realized by the communication I / F 14. The input unit 142 can be realized by the input device 15 . The display unit 143 can be realized by the display 16 .

[0042] Returning to FIG. 1, the information processing device 150 is a device that executes recommendations based on empathy evaluation items. FIG. 7 is a block diagram schematically showing the configuration of information processing device 150 according to the first embodiment. The information processing device 150 includes a storage unit 160 , a communication unit 170 , an acquisition unit 171 , and a specific control unit 172 .

[0043] The storage unit 160 stores information necessary for processing by the information processing device 150 . The storage unit 160 stores a personal characteristic information management table 161, a consideration information management table 162, an evaluation information management table 163, and an evaluation estimation table 164.

[0044] The personal characteristic information management table 161 is personal characteristic management information for managing personal characteristic information. For example, when the acquisition unit 171 receives personal characteristic information from the personal characteristic estimation device 110 via the communication unit 170, the acquisition unit 171 registers the content indicated by the personal characteristic information in one record (in other words, one row) of the personal characteristic information management table 161.

[0045] FIG. 8 is a schematic diagram showing an example of the individual characteristic information management table 161. As shown in FIG. For example, the individual characteristic information management table 161 has a user ID column 161a, a gender column 161b, an age column 161c, and a personality column 161d.

[0046] The user ID column 161a stores the user ID. The gender column 161b stores the gender of the user identified by the user ID. The age column 161c stores the age of the user identified by the user ID. The personality column 161d stores the personality of the user identified by the user ID.

[0047] For example, FIG. 8 shows that the gender corresponding to user ID “A” is “male,” the age is “40 years old,” and the personality traits are openness “Oa1,” conscientiousness “Ca1,” extroversion “Ea1,” agreeableness “Aa1,” and neuroticism “Na1.”

[0048] FIG. 8 also shows that the gender corresponding to user ID “B” is “female,” the age is “20 years old,” and the personality traits are openness “Ob1,” conscientiousness “Cb1,” extroversion “Eb1,” agreeableness “Ab1,” and neuroticism “Nb1.”

[0049] 7, the consideration information management table 162 is consideration management information for managing consideration information. For example, when the acquisition unit 171 receives consideration information from the consideration acquisition device 120 via the communication unit 170, the acquisition unit 171 registers the content indicated by the consideration information in one record (in other words, one row) of the consideration information management table 162.

[0050] FIG. 9 is a schematic diagram showing an example of the consideration information management table 162. As shown in FIG. For example, the consideration information management table 162 includes a user ID column 162a, a consideration name column 162b, an option column 162c, and an evaluation item column 162d.

[0051] The user ID column 162a stores the user ID of the user conducting the review. The study name column 162b stores the study name of the study performed by the user identified by the user ID. The option column 162c stores options that are considered by a user identified by a user ID. The evaluation item column 162d stores evaluation items in the study performed by the user identified by the user ID.

[0052] For example, in Figure 9, the user IDs are "A, B", the study name is "air conditioning temperature setting", the options are "20°C, 23°C, 25°C", and the evaluation items are "comfort, humidity, electricity cost". The number of users can be one, two, or even three or more.

[0053] 7, the evaluation information management table 163 is evaluation management information for managing evaluation information. For example, when the acquisition unit 171 receives evaluation information from the evaluation acquisition device 130 via the communication unit 170, the specific control unit 172 registers corresponding information in the evaluation information management table 163 based on the content indicated in the evaluation information. Here, the evaluation information management table 163 may be generated for each study identified by a study name.

[0054] FIG. 10 is a schematic diagram showing an example of the evaluation information management table 163. As shown in FIG. For example, the evaluation information management table 163 has a consideration name column 163a, an evaluation item column 163b, an option column 163c, an evaluation column 163d, and an empathy column 163e.

[0055] The study name column 163a stores the study name that identifies the study. The evaluation item column 163b stores evaluation items in a study identified by the study name. The option column 163c stores options in a study identified by the study name.

[0056] The evaluation column 163d stores, for each user ID for identifying a user who performs a study identified by a study name, the user's evaluation of the options in the study identified by the study name in the evaluation items. In FIG. 10, the study name "Air Conditioning Setting Temperature" is studied between a user identified by a user ID "A" and a user identified by a user ID "B" shown in the evaluation column 163d. When a circle is stored in the column for the user ID "A" in the evaluation column 163d, this indicates that the user identified by the user ID "A" has evaluated options in the same row using the evaluation items in the same row. When a star is stored in the column for the user ID "A" in the evaluation column 163d, this indicates that the user identified by the user ID "A" is presumed to have evaluated options in the same row using the evaluation items in the same row. This presumption is based on the evaluation presumption table 164. Furthermore, when the column for the user ID "A" in the evaluation column 163d is blank, this indicates that the user identified by the user ID "A" has not evaluated options in the same row using the evaluation items in the same row, or has not evaluated options in the same row using the evaluation items in the same row, and that the user identified by the user ID "A" is presumed not to have evaluated options in the same row using the evaluation items in the same row, or that such presumption has not been made.

[0057] The likes column 163e stores whether all users performing a study identified by the study name have evaluated, or are presumed to have evaluated, the options in the same row using the evaluation items in the same row. Here, if a circle is stored in the likes column 163e, it indicates that all users performing a study identified by the study name have evaluated, or are presumed to have evaluated, the options in the same row. Here, if all users' ratings in rating column 163d are either a circle or a star, a circle is stored in likes column 163e of that row.

[0058] For example, Figure 10 shows that the option "20°C" for the evaluation item "Comfort" corresponding to the study name "Air conditioning temperature setting" is estimated to be evaluated by a user identified by user ID "A" based on personal characteristics. In addition, the option "23°C" for the evaluation item "Comfort" corresponding to the study name "Air conditioning temperature setting" was independently evaluated by both the user identified by user ID "A" and the user identified by user ID "B," and was determined to be relatable. Furthermore, the option "25°C" for the evaluation item "Comfort" corresponding to the study name "Air conditioning temperature setting" indicates that the user identified by user ID "B" is estimated to evaluate it based on his or her personal characteristics.

[0059] Returning to FIG. 7, the rating estimation table 164 stores estimated ratings indicating options that are estimated to be rated by the user according to combinations of the study name, the evaluation item, and the personal characteristics. FIG. 11 is a schematic diagram showing an example of the evaluation estimation table 164. As shown in FIG. The evaluation estimation table 164 has a study name column 164a, an evaluation item column 164b, a personal characteristic column 164c, and an estimated evaluation column 164d.

[0060] The study name column 164a stores the study name that identifies the study. The evaluation item column 164b stores evaluation items in a study identified by the study name. The personal characteristic column 164c stores the personal characteristics of the user for which an estimated evaluation is performed. Here, the personal characteristics are specified by the type of the personal characteristic and the value of the personal characteristic. The estimated evaluation column 164d stores estimated evaluations indicating options that are estimated to be evaluated by the user according to the combination of the study name, evaluation item, and personal characteristic.

[0061] For example, Figure 11 shows that for the evaluation item "comfort" of the study name "air conditioning temperature setting," if the user's gender among his / her personal characteristics is "male," the option "20°C" is estimated to be highly evaluated. The estimation here may be performed using, for example, a learning model learned by machine learning. It is desirable that the estimation using the learning model is performed in advance by the specific control unit 172 of the information processing device 150, and the result is stored in the evaluation estimation table 164. It is also possible for the specific control unit 172 to perform estimation using the learning model when an estimated evaluation is required.

[0062] Returning to FIG. 7, the communication unit 170 performs communication via the network 101 . The acquisition unit 171 acquires various types of information via the communication unit 170 and stores the acquired information in the storage unit 160.

[0063] For example, the acquiring unit 171 acquires personal characteristic estimation information from the personal characteristic estimation device 110 via the communication unit 170. Then, the acquiring unit 171 adds a new record to the personal characteristic information management table 161, and stores the user ID, gender, age, and personality indicated in the acquired personal characteristic estimation information in the user ID column, gender column 161b, age column 161c, and personality column 161d of the record, respectively.

[0064] The acquiring unit 171 also acquires the consideration information from the consideration acquisition device 120 via the communication unit 170. Then, the acquiring unit 171 adds a new record to the consideration information management table 162, and stores the user ID, consideration name, options, and evaluation items indicated in the acquired consideration information in the user ID column 162a, the consideration name column 162b, the option column 162c, and the evaluation item column 162d of the record, respectively.

[0065] Furthermore, the acquisition unit 171 acquires the evaluation information from the evaluation acquisition device 130 via the communication unit 170. The acquired evaluation information is provided to the specific control unit 172.

[0066] The identification control unit 172 identifies, for each study managed in the study information management table 162, information that will assist the user in carrying out the study.

[0067] For example, when supporting consideration between a first user and a second user, the identification control unit 172 estimates one option that the first user will select from multiple options as a first estimated option based on the personal characteristics of the first user, and estimates one option that the second user will select from multiple options as a second estimated option based on the personal characteristics of the second user. Then, the identification control unit 172 causes the communication unit 170 to transmit information indicating the first inferred option to the terminal 140 used by the first user, and to transmit information indicating the second inferred option to the terminal 140 used by the second user.

[0068] In addition, when the acquisition unit 171 acquires information indicating a first self-selected option which is one option selected from multiple options by a first user and information indicating a second self-selected option which is one option selected from multiple options by a second user, the identification control unit 172 identifies the matching option as the empathy evaluation item when either the first inferred option or the first self-selected option matches either the second inferred option or the second self-selected option. Then, the identification control unit 172 causes the communication unit 170 to transmit information indicating the empathy evaluation items to the terminal 140 used by the first user and the terminal 140 used by the second user.

[0069] Here, by referring to the rating estimation table 164, which is rating estimation information indicating, as estimated ratings, options estimated to be selected by a user whose personal characteristics include at least one value corresponding to at least one of the multiple types, when the personal characteristics of a first user include the at least one value, the identification control unit 172 estimates, as a first inferred option, the option indicated by the estimated rating corresponding to the at least one value. Similarly, when the personal characteristics of a second user include the at least one value, the identification control unit 172 estimates, as a second inferred option, the option indicated by the estimated rating corresponding to the at least one value.

[0070] Specifically, the identification control unit 172 identifies one record from the consideration information management table 162 for which a corresponding evaluation information management table 163 has not yet been generated, stores the consideration name, options, and evaluation items stored in the identified record in the consideration name column 163a, option column 163c, and evaluation item column 163b, respectively, and generates an evaluation column 163d corresponding to the user ID stored in the identified record, thereby generating the evaluation information management table 163.

[0071] Furthermore, the identification control unit 172 identifies, from the personal characteristic information management table 161, the personal characteristic of the user identified by the user ID included in the record identified from the consideration information management table 162. If an estimated evaluation corresponding to the study name and evaluation item included in the record identified from the consideration information management table 162 and the personal characteristic identified from the personal characteristic information management table 161 exists in the evaluation estimation table 164, the identification control unit 172 stores an asterisk in the corresponding column of the evaluation information management table 163 according to the estimated evaluation.

[0072] Furthermore, when the identification control unit 172 acquires evaluation information from the evaluation acquisition device 130, the identification control unit 172 stores the evaluation indicated by the evaluation information in the evaluation column 163d of the record corresponding to the user ID, study name, evaluation item, and option indicated by the evaluation information in the evaluation information management table 163 corresponding to the study name indicated by the evaluation information. Here, the identification control unit 172 stores a circle in the corresponding column.

[0073] Then, the specific control unit 172 stores a circle in the like column 163e of a record in the evaluation information management table 163 corresponding to the study name indicated by the evaluation information, in which either a circle or a star is stored in the column corresponding to all user IDs included in the evaluation column 163d.

[0074] The identification control unit 172 generates consideration support information indicating the consideration name, evaluation items, and options of a record in the evaluation information management table 163 in which a circle is stored in the empathy column 163e, and sends the consideration support information via the communication unit 170 to the terminal 140 used by the user identified by the user ID included in the record identified from the consideration information management table 162. It is assumed that the communication address of the terminal 140 used by the user identified by each user ID is stored in the storage unit 160.

[0075] The information processing device 150 described above can be configured by, for example, a computer 10 as shown in FIG. For example, the acquisition unit 171 and the specific control unit 172 can be realized by reading a program stored in the nonvolatile storage device 11 into the volatile storage device 12 and having the processor 13 execute the program.

[0076] The storage unit 160 can be realized by the non-volatile storage device 11 or the volatile storage device 12. The communication unit 170 can be realized by the communication I / F 14.

[0077] Next, the operation of the information processing system 100 will be described. First, the operation of the information processing system 100 will be briefly described. The information processing device 150 acquires personal characteristic information from the personal characteristic estimation device 110 and stores the personal characteristic information in a personal characteristic information management table 161. The information processing device 150 acquires consideration information from the consideration acquisition device 120 and stores the consideration information in a consideration information management table 162. The information processing device 150 acquires evaluation information from the evaluation acquisition device 130 and generates an evaluation information management table 163 based on the evaluation information, the consideration information management table 162, and the evaluation estimation table 164. The information processing device 150 uses the evaluation information management table 163 to identify options that have been rated by all users participating in the consideration as empathy evaluation items. The information processing device 150 transmits information indicating the empathy evaluation items to the terminal 140. The operation of the information processing system 100 will be described in detail below.

[0078] FIG. 12 is a sequence diagram showing an example of operations performed between the information processing device 150 and the individual characteristic estimation device 110 according to the first embodiment. First, the information acquisition unit 112 of the personal characteristic estimation device 110 acquires information about the personal characteristics via the communication unit 111 (S10). For example, the user inputs necessary information to the terminal 140, and the information acquisition unit 112 acquires the information about the personal characteristics from the terminal 140. Here, the information about the personal characteristics is information necessary to estimate the personal characteristics. It is assumed that the information about the personal characteristics includes the user's user ID. The personal characteristics are assumed to be the user's gender, age, and personality. The information acquiring unit 112 may acquire information about the personal characteristics from a device other than the terminal 140. For example, information about the personal characteristics stored in a storage server such as a cloud server (not shown) may be acquired.

[0079] Next, the individual characteristic estimation unit 113 of the individual characteristic estimation device 110 estimates the individual characteristic of the user based on the information on the individual characteristic acquired in step S10 (S11). For example, the individual characteristic estimation unit 113 may estimate the individual characteristic of the user by inputting the information on the individual characteristic into a learning model.

[0080] Next, the individual characteristic estimation unit 113 generates individual characteristic information indicating the estimated individual characteristic and the user ID, and sends the individual characteristic information to the information processing device 150 via the communication unit 111 (S12).

[0081] Next, the acquisition unit 171 of the information processing device 150 acquires the personal characteristic estimation information via the communication unit 170, and stores the user ID, gender, age, and personality indicated in the personal characteristic estimation information in the personal characteristic information management table 161 (S13).

[0082] FIG. 13 is a sequence diagram showing an example of operations performed between the information processing device 150 and the review acquisition device 120 according to the first embodiment. First, the information acquisition unit 122 of the consideration acquisition device 120 acquires information related to the consideration via the communication unit 121 (S20). For example, the user inputs necessary information to the terminal 140, and the information acquisition unit 122 acquires the information related to the consideration from the terminal 140. The information acquisition unit 122 may acquire information related to the study from a device other than the terminal 140. For example, information related to the study stored in a storage server such as a cloud server (not shown) may be acquired.

[0083] Next, the information acquisition unit 122 generates consideration information indicating the user ID, consideration name, options, and evaluation items based on the information regarding the consideration, and sends the consideration information to the information processing device 150 via the communication unit 121 (S21).

[0084] Next, the acquisition unit 171 of the information processing device 150 acquires the consideration information via the communication unit 170, and stores the user ID, consideration name, options, and evaluation items indicated in the consideration information in the consideration information management table 162 (S22).

[0085] FIG. 14 is a sequence diagram showing an example of operations performed between the information processing device 150 and the evaluation acquisition device 130 according to the first embodiment. First, the information acquisition unit 132 of the evaluation acquisition device 130 acquires information related to the evaluation via the communication unit 131 (S30). For example, the user inputs necessary information into the terminal 140, and the information acquisition unit 132 acquires information related to the evaluation from the terminal 140. Furthermore, the evaluation acquisition device 130 may acquire information about user evaluations from a device other than the terminal 140.

[0086] Next, the information acquisition unit 132 generates evaluation information indicating the user ID, study name, evaluation items, options, and evaluation based on the information regarding the evaluation, and sends the evaluation information to the information processing device 150 via the communication unit 131 (S31).

[0087] Next, the acquisition unit 171 of the information processing device 150 acquires the evaluation information via the communication unit 170, and the specific control unit 172 stores necessary information in the evaluation information management table 163 based on the acquired evaluation information (S32).

[0088] As described above, the information processing device 150 receives personal characteristic information, consideration information, and evaluation information, and manages the received personal characteristic information, consideration information, and evaluation information in the personal characteristic information management table 161, the consideration information management table 162, and the evaluation information management table 163, respectively.

[0089] Next, the operation of the specific control unit 172 of the information processing device 150 will be described. FIG. 15 is a flowchart showing an outline of the operation performed by the specific control unit 172 of the information processing device 150. Here, a case will be described in which the identification control unit 172 recommends empathy evaluation items to support the consideration performed by a user indicated by a user ID "A" and a user indicated by a user ID "B".

[0090] First, the identification control unit 172 identifies one record from the consideration information management table 162 (S40). The consideration of the content identified by the identified record is also called a target consideration. Here, the target consideration is assumed to be a consideration conducted by a user indicated by user ID "A" and a user indicated by user ID "B".

[0091] Next, the specific control unit 172 executes an estimated evaluation estimation process (S41). The estimated evaluation estimation process will be described in detail with reference to FIG.

[0092] Next, the specific control unit 172 executes a voluntary evaluation input process (S42). The voluntary evaluation input process will be described in detail with reference to FIG.

[0093] Next, the specific control unit 172 executes a process for recommending empathy evaluation items (S43). The process for recommending empathy evaluation items will be described in detail with reference to FIG.

[0094] FIG. 16 is a flowchart illustrating an example of the estimated evaluation estimation process according to the first embodiment. The identification control unit 172 identifies the personal characteristics of the users in the target study identified in step S40 of Fig. 15 from the personal characteristic information management table 161 (S50). Here, the personal characteristics of user ID "A" and user ID "B" are identified.

[0095] Next, the specific control unit 172 determines whether or not there is an estimated evaluation corresponding to the personal characteristics acquired in step S50 and the study name and evaluation items of the target study by referring to the evaluation estimation table 164 (S51). If there is a corresponding estimated evaluation (YES in S51), the process proceeds to step S52, and if there is no corresponding estimated evaluation (NO in S51), the process proceeds to step S54.

[0096] For example, if the personal characteristics acquired in step S50 indicate that the gender is "male," the name of the target study is "air conditioning temperature setting," and the evaluation item of the target study is "comfort," then an estimated evaluation of "20°C" exists, as shown in Figure 11.

[0097] In step S52, the determination control unit 172 determines the corresponding estimated rating. In the above example, the determination control unit 172 determines "20°C" as the estimated rating.

[0098] Next, the identification control unit 172 sends information indicating the estimated evaluation identified in step S52 to at least the terminals 140 used by the users who have the personal characteristics corresponding to the estimated evaluations identified in step S51 via the communication unit 170 (S53). Note that the information indicating the estimated evaluations may be transmitted via unicast, broadcast, or multicast. Then, the process proceeds to step S54. Here, in terminal 140 that has received the information indicating the estimated rating, processing unit 144 causes the estimated rating to be displayed on display unit 143. This allows the user to recognize the estimated rating.

[0099] In step S54, the identification control unit 172 stores the study name, options, and evaluation items for the target study in the study name column 163a, option column 163c, and evaluation item column 163b, respectively, and generates an evaluation column 163d corresponding to the user ID for the target study, thereby generating the evaluation information management table 163. Here, if an estimated evaluation is identified in step S52, the identification control unit 172 stores a star in the corresponding column in the generated evaluation information management table 163. For example, in the above example, a star is stored in the columns corresponding to "comfort," "20°C," and user ID "A" in the evaluation information management table 163 shown in FIG. 10.

[0100] FIG. 17 is a flowchart illustrating an example of the voluntary evaluation input process according to the first embodiment. First, the specific control unit 172 determines whether the acquisition unit 171 has acquired rating information from the rating acquisition device 130 via the communication unit 170 (S60). If the rating information has been acquired (YES in S60), the process proceeds to step S61, and if the rating information has not been acquired (NO in S60), the process ends. The acquired rating information is provided from the acquisition unit 171 to the specific control unit 172.

[0101] In step S61, the identification control unit 172 sends information indicating the evaluation indicated by the evaluation information to at least the terminal 140 used by the user identified by the user ID indicated by the evaluation information via the communication unit 141. The information indicating the evaluation may be transmitted by unicast, broadcast, or multicast. Then, the process proceeds to step S62.

[0102] In step S62, the identification control unit 172 stores the evaluation indicated by the evaluation information acquired in step S60 in the evaluation column 163d of the record corresponding to the user ID, study name, evaluation item, and option indicated by the evaluation information in the evaluation information management table 163 corresponding to the study name indicated by the evaluation information. Here, the identification control unit 172 stores a circle in the corresponding column.

[0103] FIG. 18 is a flowchart illustrating an example of the empathy evaluation item recommendation process according to the first embodiment. First, the identification control unit 172 determines whether there is a combination of evaluation items and options rated by all users by referring to the evaluation column 163d of the evaluation information management table 163 (S70). The evaluation may be either an estimated evaluation indicated by a star or a voluntary evaluation indicated by a circle. If there is a combination of evaluation items and options rated by all users (YES in S70), the process proceeds to step S71. If there is not a combination of evaluation items and options rated by all users (NO in S70), the process ends.

[0104] In step S71, the identification control unit 172 identifies an option that is rated by all users as an empathy evaluation item. For example, in the above example, the identification control unit 172 identifies "23°C" as the empathy evaluation item for the user identified by user ID "A" and the user identified by user ID "B" corresponding to the evaluation item "comfort" in the review name "air conditioning temperature setting." In this case, the identification control unit 172 stores a circle in the empathy column 163e corresponding to the option identified as the empathy evaluation item in the evaluation information management table 163.

[0105] Next, the identification control unit 172 sends information indicating the identified empathy evaluation items as consideration support information to the terminals 140 used by the users participating in the target consideration via the communication unit 170 (S72). Note that the consideration support information may include the options evaluated by all users as well as the corresponding evaluation items. In the terminal 140 that has received the information indicating the empathy evaluation items, the processing unit 144 causes the empathy evaluation items indicated by the information to be displayed on the display unit 143. This allows the user to recognize the empathy evaluation items. The information indicating the empathy evaluation items may be transmitted by unicast, broadcast, or multicast.

[0106] According to embodiment 1, the empathy evaluation items identified by the information processing device 150 are transmitted to the user's terminal 140, and by referring to such empathy evaluation items, the burden on the user to respond can be reduced while also reducing the burden of consideration.

[0107] In the above embodiment, an example is shown in which the personality of the individual characteristics is expressed using the Big Five personality traits, but the example is not limited to that of the first embodiment. For example, by determining the parameters of openness, conscientiousness, extraversion, agreeableness, and neuroticism using thresholds, the personality of the individual characteristics can be expressed as the presence or absence of each of openness, conscientiousness, extraversion, agreeableness, and neuroticism. In such a case, the results in which each personality type is expressed as a binary value of "present" or "absent" may be aggregated to estimate an estimated evaluation.

[0108] Furthermore, by estimating an estimated evaluation based on the results of statistical processing of distribution data in which various parameters included in personality are plotted in areas expressed by multiple dimensions, it is possible to estimate an estimated evaluation even if there are multiple types (in other words, multiple dimensions).

[0109] Embodiment 2 As shown in FIG. 1, the information processing system 200 according to the second embodiment includes a personal characteristic estimation device 110, a consideration acquisition device 120, an evaluation acquisition device 130, a terminal 140, and an information processing device 250. The personal characteristic estimation device 110, the consideration acquisition device 120, the evaluation acquisition device 130, and the terminal 140 of the information processing system 200 according to embodiment 2 are the same as the personal characteristic estimation device 110, the consideration acquisition device 120, the evaluation acquisition device 130, and the terminal 140 of the information processing system 100 according to embodiment 1.

[0110] FIG. 19 is a block diagram schematically showing the configuration of an information processing device 250 according to the second embodiment. The information processing device 250 includes a storage unit 160 , a communication unit 170 , an acquisition unit 171 , a specific control unit 172 , and an additional control unit 273 .

[0111] The memory unit 160, communication unit 170, acquisition unit 171 and specific control unit 172 of the information processing device 250 in embodiment 2 are similar to the memory unit 160, communication unit 170, acquisition unit 171 and specific control unit 172 of the information processing device 150 in embodiment 1. However, when acquiring evaluation information, the acquiring unit 171 also provides the acquired evaluation information to the addition control unit 273 .

[0112] When the number of times that information is acquired in which at least one value corresponding to at least one of a plurality of types included in the personal characteristics of a plurality of users matches both a self-selected option exceeds a predetermined threshold, the addition control unit 273 adds the matching self-selected option to the evaluation estimation table 164 as an option indicated by the estimated evaluation, in association with the matching at least one value.

[0113] Specifically, the addition control unit 273 counts the number of times that at least one type of the study name, evaluation item, evaluated option, and personal characteristic of the user who evaluated, indicated in the evaluation information, is the same. Then, when the counted number of times exceeds a predetermined threshold, the addition control unit 273 adds an estimated evaluation by storing the same study name, evaluation item, evaluated option, and at least one type of personal characteristic of the user who made the evaluation in the study name column 164a, evaluation item column 164b, estimated evaluation column 164d, and personal characteristic column 164c of the evaluation estimation table 164, respectively.

[0114] In addition, the additional control unit 273 can also be realized by reading a program stored in the non-volatile memory device 11 into the volatile memory device 12 and having the processor 13 execute the program, as shown in Figure 3.

[0115] According to the second embodiment, the information processing device 250 can add a new estimated evaluation, thereby further reducing the burden of input by the user.

[0116] Embodiment 3 FIG. 20 is a block diagram schematically illustrating a configuration of an information processing system 300 according to the third embodiment. The information processing system 300 includes a personal characteristic estimation device 110 , a consideration acquisition device 120 , an evaluation acquisition device 130 , a terminal 140 , an information processing device 350 , and an external environment acquisition device 380 . The personal characteristic estimation device 110, the consideration acquisition device 120, the evaluation acquisition device 130, and the terminal 140 of the information processing system 300 according to embodiment 3 are the same as the personal characteristic estimation device 110, the consideration acquisition device 120, the evaluation acquisition device 130, and the terminal 140 of the information processing system 100 according to embodiment 1.

[0117] The external environment acquisition device 380 is a device that acquires information about the external environment. FIG. 21 is a block diagram schematically showing the configuration of an external environment acquisition device 380 according to the third embodiment. The external environment acquisition device 380 includes a communication unit 381 and an information acquisition unit 382 .

[0118] The communication unit 381 performs communication via the network 101 . The information acquisition unit 382 acquires information about the external environment, which is an external environment. The information acquisition unit 382 may acquire the information about the external environment from a server (not shown), for example, via the communication unit 381. Note that the information acquisition unit 382 may also acquire the information about the external environment from the terminal 140 via the communication unit 381. In this case, the user inputs the information about the external environment to the terminal 140.

[0119] The information about the external environment is, for example, information related to the environment in which the user is present, and in this case, the external environment is assumed to be the season.

[0120] Then, the information acquisition unit 382 sends the external environment information indicating the season to the information processing device 350 via the communication unit 381. Here, it is assumed that the information acquisition unit 382 sends external environment information indicating the new season to the information processing device 350 via the communication unit 381 every time the season changes.

[0121] The external environment acquisition device 380 described above can be configured by, for example, a computer 10 as shown in FIG. For example, the information acquisition unit 382 can be realized by reading a program stored in the nonvolatile storage device 11 into the volatile storage device 12 and having the processor 13 execute the program. The communication unit 381 can be realized by the communication I / F 14.

[0122] Returning to FIG. 20, the information processing device 350 is a device that executes recommendations based on empathy evaluation items. FIG. 22 is a block diagram schematically showing the configuration of an information processing device 350 according to the third embodiment. The information processing device 350 includes a storage unit 360 , a communication unit 170 , an acquisition unit 371 , and a specific control unit 372 . The communication unit 170 of the information processing device 350 in the third embodiment is similar to the communication unit 170 of the information processing device 150 in the first embodiment.

[0123] The storage unit 360 stores information necessary for processing by the information processing device 350 . The storage unit 360 stores a personal characteristic information management table 161 , a consideration information management table 162 , an evaluation information management table 163 , an evaluation estimation table 364 , and an external environment information management table 365 . The personal characteristic information management table 161, the consideration information management table 162, and the evaluation information management table 163 stored in the memory unit 360 in embodiment 3 are the same as the personal characteristic information management table 161, the consideration information management table 162, and the evaluation information management table 163 stored in the memory unit 160 in embodiment 1.

[0124] The rating estimation table 364 stores estimated ratings indicating options that are estimated to be rated by the user according to a combination of the external environment, the consideration name, the evaluation item, and the personal characteristics. FIG. 23 is a schematic diagram showing an example of the evaluation estimation table 364. As shown in FIG. The evaluation estimation table 364 has an external environment column 364e, a consideration name column 164a, an evaluation item column 164b, a personal characteristic column 164c, and an estimated evaluation column 164d. The study name column 164a, the evaluation item column 164b, the personal characteristics column 164c, and the estimated evaluation column 164d of the evaluation estimation table 364 in embodiment 3 are the same as the study name column 164a, the evaluation item column 164b, the personal characteristics column 164c, and the estimated evaluation column 164d of the evaluation estimation table 164 in embodiment 1.

[0125] The external environment column 364e stores the external environment. In this example, the external environment is assumed to be the season. For example, Fig. 23 shows that in the season "winter" and for the evaluation item "comfort" of the study name "air conditioning temperature setting," if the user's gender among his / her personal characteristics is "male," the option "20°C" is estimated to be highly rated. On the other hand, in the season "summer" and for the evaluation item "comfort" of the study name "air conditioning temperature setting," if the user's gender among his / her personal characteristics is "male," the option "23°C" is estimated to be highly rated.

[0126] Returning to FIG. 22, the external environment information management table 365 stores the external environment of the current user. FIG. 24 is a schematic diagram showing an example of the external environment information management table 365. As shown in FIG. The external environment information management table 365 stores the external environment of the current user. In the example of Fig. 24, the external environment of the current user is shown to be "summer".

[0127] Returning to FIG. 22, the acquisition unit 371 acquires various types of information via the communication unit 170 and stores the acquired information in the storage unit 360. The acquiring unit 371 in the third embodiment performs the same processing as the acquiring unit 171 in the first embodiment, and also performs the following processing.

[0128] The acquisition unit 371 acquires external environment information from the external environment acquisition device 380 via the communication unit 170. Then, the acquisition unit 371 updates the external environment indicated in the external environment information management table 365 with the acquired external environment information.

[0129] The processing of the identification control unit 372 in the third embodiment is almost the same as the processing of the identification control unit 172 in the first embodiment, except for the processing when identifying an estimated evaluation from the evaluation estimation table 364.

[0130] For example, the identification control unit 372 identifies the personal characteristics of the user identified by the user ID included in the record identified from the consideration information management table 162 from the personal characteristic information management table 161. Furthermore, the identification control unit 372 identifies the external environment from the external environment information management table 365. If an estimated evaluation corresponding to the external environment identified from the external environment information management table 365, the study name and evaluation item included in the record identified from the consideration information management table 162, and the personal characteristic identified from the personal characteristic information management table 161 exists in the evaluation estimation table 364, the identification control unit 372 stores an asterisk in the corresponding column of the evaluation information management table 163 according to the estimated evaluation.

[0131] FIG. 25 is a sequence diagram showing an example of an operation performed between the information processing device 350 and the external environment acquisition device 380 according to the third embodiment. First, the information acquisition unit 382 of the external environment acquisition device 380 acquires information about the external environment (S80).

[0132] Next, the information acquisition unit 382 generates external environment information indicating the current season based on the information related to the external environment, and sends the external environment information to the information processing device 350 via the communication unit 381 (S81).

[0133] Next, the acquisition unit 371 of the information processing device 350 acquires the external environment information via the communication unit 170, and stores the season indicated by the external environment information in the external environment information management table 365 (S82).

[0134] FIG. 26 is a flowchart illustrating an example of the estimated evaluation estimation process according to the third embodiment. Note that among the processes included in the flowchart shown in Figure 26, those that perform the same processes as those in the flowchart shown in Figure 16 are given the same symbols as those in Figure 16, and detailed explanations thereof will be omitted.

[0135] The process in step S50 in Fig. 26 is the same as the process in step S50 in Fig. 16. However, after the process in step S50 in Fig. 26, the process proceeds to step S90.

[0136] In step S 90 , the identification control unit 372 identifies the external environment from the external environment information management table 365 .

[0137] Next, the identification control unit 372 refers to the evaluation estimation table 364 to determine whether or not there is an estimated evaluation corresponding to the personal characteristics acquired in step S50, the external environment identified in step S90, and the study name and evaluation items of the target study (S91). If there is a corresponding estimated evaluation (YES in S91), the process proceeds to step S92, and if there is no corresponding estimated evaluation (NO in S91), the process proceeds to step S54.

[0138] In step S92, the identification control unit 372 identifies the corresponding estimated rating, and the process then proceeds to step S53.

[0139] The processes in steps S53 and S54 in FIG. 26 are similar to the processes in steps S53 and S54 in FIG.

[0140] As described above, according to the third embodiment, the information processing device 350 can register the relationships between newly occurring external environment information, personal characteristics, study names, and evaluation items in the evaluation estimation table 364. This allows the information processing device 350 to more accurately support newly occurring studies.

[0141] In the third embodiment described above, the external environment is the season, but the third embodiment is not limited to this example. For example, the external environment may be the date and time, the weather, or a combination of at least two selected from the season, the date and time, and the weather.

[0142] Embodiment 4 As shown in FIG. 1, the information processing system 400 according to the fourth embodiment includes a personal characteristic estimation device 110, a consideration acquisition device 120, an evaluation acquisition device 130, a terminal 140, and an information processing device 450. The personal characteristic estimation device 110, the consideration acquisition device 120, the evaluation acquisition device 130, and the terminal 140 of the information processing system 400 according to embodiment 4 are the same as the personal characteristic estimation device 110, the consideration acquisition device 120, the evaluation acquisition device 130, and the terminal 140 of the information processing system 100 according to embodiment 1.

[0143] The information processing device 450 is a device that executes recommendations based on empathy evaluation items. FIG. 27 is a block diagram schematically showing the configuration of an information processing device 450 according to the fourth embodiment. The information processing device 450 includes a storage unit 160 , a communication unit 170 , an acquisition unit 171 , a specification control unit 172 , and a reproduction control unit 475 .

[0144] The memory unit 160, communication unit 170, acquisition unit 171 and specific control unit 172 of the information processing device 450 in embodiment 4 are similar to the memory unit 160, communication unit 170, acquisition unit 171 and specific control unit 172 of the information processing device 150 in embodiment 1.

[0145] The reproduction control unit 475 reproduces multiple options in the target study. For example, if the study name of the target study is "air conditioning temperature setting," the options of the target study are reproduced by controlling an air conditioner (not shown) installed in a room where a user identified by the user ID of the target study is present. Specifically, the options of the target study can be reproduced by changing the temperature setting at regular intervals.

[0146] The reproduction control unit 475 described above can also be realized by reading a program stored in the non-volatile memory device 11 into the volatile memory device 12 and having the processor 13 execute the program, as shown in Figure 3.

[0147] FIG. 28 is a flowchart illustrating an example of the voluntary evaluation input process according to the fourth embodiment. Note that among the processes included in the flowchart shown in Figure 28, those that perform the same processes as those in the flowchart shown in Figure 17 are given the same symbols as those in Figure 17, and detailed explanations thereof will be omitted.

[0148] First, the reproduction control unit 475 reproduces the options for the target consideration (S100). The options may be reproduced by operating a real device, or may be reproduced in a virtual space such as VR (Virtual Reality), AR (Augmented Reality), or XR (Extended Reality).

[0149] When reproducing options in a virtual space, the reproduction control unit 475 may reproduce the options using the terminal 140 via the communication unit 170, or may reproduce the options using an external device (not shown) other than the terminal 140 that can be connected to the information processing device 150.

[0150] Then, the process proceeds to step S60. The processing of steps S60 to S62 shown in FIG. 28 is similar to the processing of steps S60 to S62 shown in FIG.

[0151] As described above, according to the fourth embodiment, the information processing device 450 reproduces the options to be considered, thereby enabling the information processing device 450 to receive a voluntary evaluation that the user feels is realistic.

[0152] The features of the above-described embodiments can be combined with each other as appropriate. Furthermore, the processes performed by the above-described information processing devices 150 to 450 may be executed by a plurality of computers. In other words, the first to fourth embodiments may be realized by an information processing system including a plurality of computers.

[0153] Reference 1: Oliver P. John, Laura P. Naumann, and Christopher J. Soto. “Paradigm Shift to the Integrative Big Five Trait Taxonomy” Handbook of personality: Theory and research 3.2 (2008), pp.114-158 Reference 2: June P. Tangney, Roy F. Baumeister, and Angie Luzio Boone. “High Self-Control Predicts Good Adjustment, Less Pathology, Better Grades, and Interpersonal Success” Journal of personality 72.2 (2004), pp.271-324 Reference 3: Wu Youyou, Michal Kosinski, and David Stillwell. “Computer-based personality judgments are more accurate than those made by humans” Proceedings of the National Academy of Sciences 112.4 (2015), pp. 1036-1040 Document 4: Clemens Stachl, et al. “Predicting personality from patterns of behavior collected with smartphones”, Proceedings of the National Academy of Sciences 117.30 (2020), pp. 17680-17687 [Explanation of symbols]

[0154] 100,200,300,400 Information processing system, 110 Personal characteristic estimation device, 120 Consideration acquisition device, 130 Evaluation acquisition device, 140 Terminal, 150,250,350,450 Information processing device, 160,360 Memory unit, 170 Communication unit, 171,371 Acquisition unit, 172,372 Specific control unit, 273 Additional control unit, 475 Reproduction control unit, 380 External environment acquisition device.

Claims

1. an acquisition unit that acquires consideration information indicating the content of a consideration made between a first user and a second user to select one option from a plurality of options, and personal characteristic information indicating at least the personal characteristics of the first user and the personal characteristics of the second user; a storage unit that stores the review information and the personal characteristic information; an identification control unit that identifies the consideration information stored in the storage unit, and that infers one option to be selected by the first user from the plurality of options as a first inferred option based on a personal characteristic of the first user, and that infers one option to be selected by the second user from the plurality of options as a second inferred option based on a personal characteristic of the second user, the personal characteristics are estimated independently of the plurality of options in the content of the consideration indicated by the consideration information, the study information includes a study name for identifying the study and an evaluation item for evaluating the plurality of options; the identification control unit infers the first inferred option according to a combination of the study name, the evaluation item, and a personal characteristic of the first user, and infers the second inferred option according to a combination of the study name, the evaluation item, and a personal characteristic of the second user. An information processing device characterized by:

2. a communication unit that transmits information indicating the first inferred option to a terminal used by the first user and transmits information indicating the second inferred option to a terminal used by the second user; 2. The information processing device according to claim 1,

3. the acquisition unit acquires information indicating a first self-selected option that is one option selected by the first user from the plurality of options, and information indicating a second self-selected option that is one option selected by the second user from the plurality of options, When one of the first inferred option and the first self-selected option matches one of the second inferred option and the second self-selected option, the identification control unit identifies the matching option as an empathy evaluation item.

2. The information processing device according to claim 1,

4. a communication unit that transmits information indicating the empathy evaluation items to a terminal used by the first user and a terminal used by the second user; 4. The information processing device according to claim 3,

5. the personal characteristics are made up of a plurality of values ​​corresponding to a plurality of types, The identification control unit refers to evaluation estimation information that indicates, as an estimated evaluation, an option that is estimated to be selected by a user whose personal characteristics include at least one value corresponding to at least one type included in the plurality of types, in association with the study name and the evaluation item, so that when the at least one value is associated with the personal characteristics of the first user for the study name and the evaluation item, the option indicated by the estimated evaluation corresponding to the at least one value is estimated as the first estimated option, and when the at least one value is associated with the personal characteristics of the second user for the study name and the evaluation item, the option indicated by the estimated evaluation corresponding to the at least one value is estimated as the second estimated option. The information processing device according to claim 1 ,

6. the acquiring unit acquires information indicating a self-selected option that is one option selected from the plurality of options by each of the plurality of users for the study name and the evaluation item, and an additional control unit that, when the number of times that information is acquired in which at least one value corresponding to at least one of the plurality of types included in the personal characteristics of the plurality of users matches with the self-selected option in the study name and the evaluation item exceeds a predetermined threshold, adds the matching self-selected option to the evaluation estimation information as an option indicated by the estimated evaluation by associating the study name and the evaluation item with the matching at least one value.

6. The information processing device according to claim 5,

7. the acquisition unit further acquires external environment information indicating an external environment; the personal characteristics are made up of a plurality of values ​​corresponding to a plurality of types, The identification control unit, by referring to evaluation estimation information indicated in each of a plurality of external environments in association with the study name and the evaluation item, estimates an option estimated to be selected by a user whose personal characteristics include at least one value corresponding to at least one type included in the plurality of types as an estimated evaluation, so that when the at least one value is associated with the personal characteristics of the first user for the study name and the evaluation item in the external environment indicated by the external environment information, the identification control unit estimates the option indicated by the estimated evaluation corresponding to the at least one value as the first estimated option, and when the at least one value is associated with the personal characteristics of the second user for the study name and the evaluation item in the external environment indicated by the external environment information, the identification control unit estimates the option indicated by the estimated evaluation corresponding to the at least one value as the second estimated option. The information processing device according to claim 1 ,

8. Further comprising a reproduction control unit that reproduces the plurality of options. The information processing device according to claim 1 ,

9. Further comprising a reproduction control unit that reproduces the plurality of options.

6. The information processing device according to claim 5,

10. Further comprising a reproduction control unit that reproduces the plurality of options.

7. The information processing device according to claim 6,

11. Further comprising a reproduction control unit that reproduces the plurality of options.

8. The information processing device according to claim 7,

12. Computer, an acquisition unit that acquires consideration information indicating the content of a consideration made between a first user and a second user to select one option from a plurality of options, and personal characteristic information indicating at least the personal characteristics of the first user and the personal characteristics of the second user; a storage unit that stores the review information and the personal characteristic information; and the identification control unit identifies the consideration information stored in the storage unit, and, based on personal characteristics of the first user, infers one option to be selected by the first user from the plurality of options as a first inferred option, and, based on personal characteristics of the second user, infers one option to be selected by the second user from the plurality of options as a second inferred option; the personal characteristics are estimated independently of the plurality of options in the content of the consideration indicated by the consideration information, the study information includes a study name for identifying the study and an evaluation item for evaluating the plurality of options; the identification control unit infers the first inferred option according to a combination of the study name, the evaluation item, and a personal characteristic of the first user, and infers the second inferred option according to a combination of the study name, the evaluation item, and a personal characteristic of the second user. A program characterized by.

13. an acquisition unit that acquires consideration information indicating the content of a consideration made between a first user and a second user to select one option from a plurality of options, and personal characteristic information indicating at least the personal characteristics of the first user and the personal characteristics of the second user; a storage unit that stores the review information and the personal characteristic information; an identification control unit that identifies the consideration information stored in the storage unit, and that infers one option to be selected by the first user from the plurality of options as a first inferred option based on a personal characteristic of the first user, and that infers one option to be selected by the second user from the plurality of options as a second inferred option based on a personal characteristic of the second user, the personal characteristics are estimated independently of the plurality of options in the content of the consideration indicated by the consideration information, the study information includes a study name for identifying the study and an evaluation item for evaluating the plurality of options; the identification control unit infers the first inferred option according to a combination of the study name, the evaluation item, and a personal characteristic of the first user, and infers the second inferred option according to a combination of the study name, the evaluation item, and a personal characteristic of the second user. An information processing system characterized by:

14. an acquisition unit acquires consideration information indicating the content of a consideration made between a first user and a second user to select one option from a plurality of options, and personal characteristic information indicating at least a personal characteristic of the first user and a personal characteristic of the second user; a storage unit stores the review information and the personal characteristic information; an identification control unit identifies the consideration information stored in the storage unit, and estimates, based on a personal characteristic of the first user, one option selected by the first user from the plurality of options as a first estimated option; the identification control unit estimates, based on a personal characteristic of the second user, one option to be selected by the second user from the plurality of options as a second estimated option; the personal characteristics are estimated independently of the plurality of options in the content of the consideration indicated by the consideration information, the study information includes a study name for identifying the study and an evaluation item for evaluating the plurality of options; the identification control unit infers the first inferred option according to a combination of the study name, the evaluation item, and a personal characteristic of the first user, and infers the second inferred option according to a combination of the study name, the evaluation item, and a personal characteristic of the second user. An information processing method comprising:

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