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

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

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

[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 degree of importance for each evaluation item estimated by the importance estimation means. This makes it possible to support a considerer in making decisions that are suited to their degree of importance.

[0004] Japanese Patent Application Laid-Open No. 2003-108824

[0005] However, conventional systems support selection by calculating the recommendation level of selection candidates 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.

[0007] An information processing device according to one aspect of the present disclosure is characterized by comprising: an acquisition unit that acquires consideration information indicating the content of considerations made between a first user and a second user to select one option from a plurality of options; and a specific control unit that, based on personal characteristics of the first user, estimates one option to be selected by the first user from the plurality of options as a first inferred option, and that, based on personal characteristics of the second user, estimates one option to be selected by the second user from the plurality of options as a second inferred option.

[0008] A program according to one aspect of the present disclosure is characterized in that it causes a computer to function as an acquisition unit that acquires consideration information indicating the content of considerations made between a first user and a second user to select one option from a plurality of options, and a specific control unit that, based on personal characteristics of the first user, estimates 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, estimates one option to be selected by the second user from the plurality of options as a second inferred option.

[0009] An information processing system according to one aspect of the present disclosure is characterized by comprising: an acquisition unit that acquires consideration information indicating the content of consideration conducted between a first user and a second user to select one option from a plurality of options; and a specific control unit that, based on personal characteristics of the first user, estimates 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, estimates one option to be selected by the second user from the plurality of options as a second inferred option.

[0010] An information processing method according to one aspect of the present disclosure is characterized in that it acquires consideration information indicating the content of considerations made between a first user and a second user to select one option from a plurality of options, and estimates, based on personal characteristics of the first user, one option to be selected by the first user from the plurality of options as a first inferred option, and estimates, based on personal characteristics of the second user, one option to be selected by the second user from the plurality of options as a second inferred option.

[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.

[0012] 1 is a block diagram schematically showing the configuration of an information processing system according to embodiment 1. FIG. 1 is a block diagram schematically showing the configuration of an information processing system according to embodiment 1. FIG. 1 is a block diagram schematically showing the configuration of an individual characteristic estimation device. FIG. 1 is a block diagram schematically showing the configuration of a computer. FIG. 1 is a block diagram schematically showing the configuration of a consideration acquisition device. FIG. 1 is a block diagram schematically showing the configuration of a rating acquisition device. FIG. 1 is a block diagram schematically showing the configuration of a terminal. FIG. 1 is a block diagram schematically showing the configuration of an information processing device according to embodiment 1. FIG. 1 is a schematic diagram showing an example of an individual characteristic information management table. FIG. 1 is a schematic diagram showing an example of a consideration information management table. FIG. 1 is a schematic diagram showing an example of an evaluation information management table. FIG. 1 is a schematic diagram showing an example of an evaluation estimation table according to embodiment 1. FIG. 2 is a sequence diagram showing an example of an operation performed between the information processing device and the individual characteristic estimation device according to embodiment 1. FIG. 3 is a sequence diagram showing an example of an operation performed between the information processing device and the consideration acquisition device according to embodiment 1. FIG. 4 is a sequence diagram showing an example of an operation performed between the information processing device and the rating acquisition device according to embodiment 1. FIG. 5 is a flowchart showing an overview of the operation performed by a specific control unit of the information processing device. FIG. 6 is a flowchart showing an example of an estimated rating estimation process according to embodiment 1. FIG. 7 is a flowchart showing an example of an independent evaluation input process according to embodiment 1. FIG. 8 is a flowchart showing an example of an empathy evaluation item recommendation process according to embodiment 1. FIG. 1 is a block diagram schematically showing the configuration of an information processing device in embodiment 2. FIG. 2 is a block diagram schematically showing the configuration of an information processing system according to embodiment 3. FIG. 3 is a block diagram schematically showing the configuration of an external environment acquisition device in embodiment 3. FIG. 4 is a block diagram schematically showing the configuration of an information processing device in embodiment 3. FIG. 5 is a schematic diagram showing an example of an evaluation estimation table in embodiment 3. FIG. 6 is a schematic diagram showing an example of an external environment information management table. FIG. 7 is a sequence diagram showing an example of an operation performed between the information processing device and the external environment acquisition device in embodiment 3. FIG. 8 is a flowchart showing an example of an estimated evaluation estimation process in embodiment 3. FIG. 9 is a block diagram schematically showing the configuration of an information processing device in embodiment 4. FIG. 10 is a flowchart showing an example of a voluntary evaluation input process in embodiment 4.

[0013] Embodiment 1. Fig. 1 is a block diagram showing an outline of the configuration of an information processing system 100 according to embodiment 1. The information processing system 100 includes a personal characteristic estimation device 110, a consideration acquisition device 120, a rating acquisition device 130, a terminal 140, and an information processing device 150. The personal characteristic estimation device 110, the consideration acquisition device 120, the rating 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 rating acquisition device 130, the terminal 140, and the information processing device 150 can be connected to the network 101 wirelessly.

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

[0015] Personality may be represented, for example, by the Big Five personality traits. The Big Five personality traits are also called 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, aims to achieve, or prefers 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 is 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 literature 1.

[0017] Furthermore, personality may be represented by a parameter indicating the strength of self-control. Self-control is the ability to pursue desirable behavior and suppress undesirable behavior of one's own volition when faced with temptation or impulse. Self-control is described in the following literature 2. Furthermore, personality may be represented by a parameter defined in the field of psychology.

[0018] 2 is a block diagram showing a schematic configuration of the individual characteristic estimation device 110. 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 related to personal characteristics, which is information necessary for estimating personal characteristics, from the terminal 140 via the communication unit 111. The acquired information related to personal characteristics is provided to the personal 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 a still image or video 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). Note that the information on personal characteristics may be such that an individual's gender, age, and personality can be estimated by combining the information exemplified above. Furthermore, the information on 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 literature 3.

[0023] Then, the personal characteristic estimation unit 113 generates the user ID and personal characteristic information indicating 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 personal characteristic estimation device 110 can be configured, for example, by a computer 10 as shown in Fig. 3. Fig. 3 is a block diagram schematically showing the configuration of the computer 10. The computer 10 includes a non-volatile 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 memory device 11 is an auxiliary memory device of the information processing device 150. For example, the nonvolatile memory device 11 is a hard disk drive (HDD) or a solid state drive (SSD). The volatile memory device 12 is a main memory device of the information processing device 150. For example, the volatile memory device 12 is a random access memory (RAM). 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). The processor 13 may be a multiprocessor. The computer 10 may have a processing circuitry that performs specific processing. The communication I / F 14 is connected to a 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 a 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 non-volatile storage device 11 into the volatile storage device 12 and executing the program with the processor 13. 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, for example, a program product. Furthermore, the communication unit 111 can be realized by the communication I / F 14.

[0027] Returning to Fig. 1 , the consideration acquisition device 120 is a device that acquires information related to considerations. Fig. 4 is a block diagram that schematically shows the configuration of the consideration acquisition device 120. The consideration 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 related to the study is, for example, text information or audio information that can identify the user ID, study name, options, and evaluation items. The user ID is user identification information for identifying the user performing the study. The study name is the name of the study as study identification information for identifying the items to be considered. The options are the options to be considered. The evaluation items are items to evaluate the options when performing the study.

[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 consideration acquisition device 120 can be configured, for example, by a computer 10 as shown in Fig. 3. For example, the information acquisition unit 122 can be realized by reading a program stored in the non-volatile storage device 11 into the volatile storage device 12 and executing the program with the processor 13. The communication unit 121 can be realized by the communication I / F 14.

[0032] Returning to Fig. 1, the rating acquisition device 130 is a device that acquires information related to ratings. Fig. 5 is a block diagram that schematically shows the configuration of the rating acquisition device 130. The rating 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 related to evaluations 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 evaluation is information that indicates that the user identified by the user ID has evaluated the evaluation items in the options in the study identified by the 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. 3. For example, the information acquisition unit 132 can be realized by reading a program stored in the non-volatile storage device 11 into the volatile storage device 12 and executing the program with the processor 13. Furthermore, the communication unit 131 can be realized by the communication I / F 14.

[0037] Returning to Fig. 1, the terminal 140 is a device used by a user. Fig. 6 is a block diagram showing a schematic configuration of the terminal 140. 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 processing on the terminal 140. For example, the processing unit 144 generates information on the personal characteristics, information on the consideration, and information on the evaluation by displaying a necessary screen on the display unit 143 and receiving input of necessary information via the input unit 142. Then, the processing unit 144 sends the information on the personal characteristics to the personal characteristics estimation device 110 via the communication unit 141, sends the information on the consideration to the consideration acquisition device 120 via the communication unit 141, and sends the information on 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. 3. For example, the processing unit 144 can be realized by reading a program stored in the non-volatile 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 performs recommendation based on empathy evaluation items. Fig. 7 is a block diagram that schematically shows the configuration of the information processing device 150 in embodiment 1. 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] 8 is a schematic diagram showing an example of the individual characteristic information management table 161. 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] 9 is a schematic diagram showing an example of the consideration information management table 162. 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 review name column 162b stores the review name of the review conducted by the user identified by the user ID. The option column 162c stores options in the review conducted by the user identified by the user ID. The evaluation item column 162d stores evaluation items in the review conducted by the user identified by the user ID.

[0052] 9, for example, 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 may 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 of the evaluation information. Here, the evaluation information management table 163 may be generated for each study identified by a study name.

[0054] 10 is a schematic diagram showing an example of the evaluation information management table 163. 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 a study name that identifies a 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 identifying the user conducting the study identified by the study name, user evaluations of options in the study identified by the study name using evaluation items. In FIG. 10 , the study name "Air Conditioning Setting Temperature" is being studied between a user identified by user ID "A" and a user identified by user ID "B" shown in the evaluation column 163d. A circle stored in the column for user ID "A" in the evaluation column 163d indicates that the user identified by user ID "A" is evaluating options in the same row using the evaluation items in the same row. Furthermore, a star stored in the column for user ID "A" in the evaluation column 163d indicates that the user identified by user ID "A" is estimated to be evaluating options in the same row using the evaluation items in the same row. This estimation is based on the evaluation estimation table 164. Furthermore, if the column for user ID "A" in evaluation column 163d is unmarked, it indicates that the user identified by user ID "A" has not evaluated or has not evaluated the options in the same row using the evaluation items in the same row, and it is presumed that the user identified by user ID "A" has not evaluated the options in the same row using the evaluation items in the same row, or such presumption has not been made.

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

[0058] For example, FIG. 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. Also, the option "23°C" for the evaluation item "comfort" corresponding to the study name "air conditioning temperature setting" is evaluated independently by both a user identified by user ID "A" and a user identified by user ID "B," and is therefore judged to be relatable. Furthermore, the option "25°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 "B" based on personal characteristics.

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

[0060] The study name column 164a stores the study name that identifies the study. The evaluation item column 164b stores the evaluation items for the study identified by the study name. The personal characteristic column 164c stores the personal characteristics of the user who will perform the estimated evaluation. Here, the personal characteristic is identified by the type of personal characteristic and the value of the personal characteristic. The estimated evaluation column 164d stores the estimated evaluation that indicates the option that the user is estimated to evaluate based on the combination of the study name, evaluation item, and personal characteristic.

[0061] For example, FIG. 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 evaluated. This estimation may be performed, for example, using a learning model trained 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 that the result is stored in the evaluation estimation table 164. It is also desirable that the specific control unit 172 perform estimation using the learning model when an estimated evaluation is required.

[0062] 7 , the communication unit 170 performs communication via the network 101. The acquisition unit 171 acquires various pieces 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 acquisition unit 171 also acquires the review information from the review acquisition device 120 via the communication unit 170. Then, the acquisition unit 171 adds a new record to the review information management table 162, and stores the user ID, review name, options, and evaluation items indicated in the acquired review information in the user ID column 162a, review name column 162b, option column 162c, and evaluation item column 162d of the record, respectively.

[0065] Furthermore, the acquisition unit 171 acquires 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 information that will assist the user in carrying out the study for each study managed in the study information management table 162 .

[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 inferred option based on the personal characteristics of the first user, and estimates one option that the second user will select from the multiple options as a second inferred 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] Furthermore, when the acquisition unit 171 has acquired information indicating a first self-selected option that is one option selected from multiple options by a first user and information indicating a second self-selected option that is one option selected from multiple options by a second user, the identification control unit 172 identifies the matching option as an 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 item to the terminal 140 used by the first user and the terminal 140 used by the second user.

[0069] Here, the identification control unit 172 refers to the evaluation estimation table 164, which is evaluation estimation information indicating, as estimated evaluations, 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, and 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 evaluation 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 evaluation 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 a star in the corresponding column of the evaluation information management table 163 according to the estimated evaluation.

[0072] Furthermore, when the specific control unit 172 acquires evaluation information from the evaluation acquisition device 130, the specific 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 specific control unit 172 stores a circle in the corresponding column.

[0073] Then, the specific control unit 172 stores a circle in the sympathy 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 for 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. Note that, for each user ID, the communication address of the terminal 140 used by the user identified by that user ID is assumed to be stored in the storage unit 160.

[0075] The information processing device 150 described above can be configured, for example, by a computer 10 as shown in Fig. 3. For example, the acquisition unit 171 and the specific control unit 172 can be realized by reading a program stored in the non-volatile 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 nonvolatile storage device 11 or the volatile storage device 12. The communication unit 170 can be realized by the communication I / F .

[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 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 personal characteristic estimation device 110 in Embodiment 1. First, the information acquisition unit 112 of the personal characteristic estimation device 110 acquires information related to 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 information related to the personal characteristics from the terminal 140. Here, the information related to the personal characteristics is information necessary for estimating the personal characteristics. It is assumed that the information related to the personal characteristics includes the user's user ID. The personal characteristics are assumed to be the user's gender, age, and personality. It is assumed that the information acquisition unit 112 may acquire information related to the personal characteristics from a device other than the terminal 140. For example, information related to the personal characteristics stored in a storage server such as a cloud (not shown) may be acquired.

[0079] Next, the personal characteristic estimation unit 113 of the personal characteristic estimation device 110 estimates the personal characteristics of the user based on the information on the personal characteristics acquired in step S10 (S11). For example, the personal characteristic estimation unit 113 may estimate the personal characteristics of the user by inputting the information on the personal characteristics 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] 13 is a sequence diagram showing an example of an operation performed between the information processing device 150 and the consideration acquisition device 120 in the first embodiment. First, the information acquisition unit 122 of the consideration acquisition device 120 acquires information about the consideration via the communication unit 121 (S20). For example, a user inputs necessary information to the terminal 140, and the information acquisition unit 122 acquires information about the consideration from the terminal 140. Note that the information acquisition unit 122 may acquire information about the consideration from a device other than the terminal 140. For example, information about the consideration stored in a storage server such as a cloud (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] 14 is a sequence diagram showing an example of the operation performed between the information processing device 150 and the rating acquisition device 130 in the first embodiment. First, the information acquisition unit 132 of the rating acquisition device 130 acquires information related to the rating via the communication unit 131 (S30). For example, the user inputs necessary information to the terminal 140, and the information acquisition unit 132 acquires information related to the rating from the terminal 140. Furthermore, the rating acquisition device 130 may acquire information related to the user's rating 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 the 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, a description will be given of the operation of the specific control unit 172 of the information processing device 150. 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 specific control unit 172 recommends empathy evaluation items to support consideration by a user indicated by user ID "A" and a user indicated by 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 identification 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] 16 is a flowchart showing an example of the estimated evaluation estimation process according to embodiment 1. 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 identification 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. 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 set temperature," and the evaluation item of the target study is "comfort," then an estimated evaluation of "20°C" exists, as shown in FIG. 11.

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

[0098] Next, the identification control unit 172 sends information indicating the estimated rating identified in step S52 to at least the terminal 140 used by the user having the personal characteristic corresponding to the estimated rating in step S51 via the communication unit 170 (S53). Note that the information indicating the estimated rating may be transmitted via unicast, broadcast, or multicast. Then, the process proceeds to step S54. Here, in the terminal 140 that has received the information indicating the estimated rating, the processing unit 144 displays the estimated rating on the 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 a study name column 163a, an option column 163c, and an evaluation item column 163b, respectively, and generates an evaluation column 163d corresponding to the user ID for the target study, thereby generating an 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] 17 is a flowchart showing 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 evaluation information from the evaluation acquisition device 130 via the communication unit 170 (S60). If evaluation information has been acquired (YES in S60), the process proceeds to step S61. If evaluation information has not been acquired (NO in S60), the process ends. The acquired evaluation 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. Note that the transmission of the information indicating the evaluation may be 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] 18 is a flowchart showing 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 no 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 all users have evaluated 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 the user ID "A" and the user identified by the 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 in the evaluation information management table 163 corresponding to the option identified as the empathy evaluation item.

[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 corresponding evaluation items in addition to the options evaluated by all users. In the terminal 140 that has received the information indicating the empathy evaluation items, the processing unit 144 displays the empathy evaluation items indicated by the information on the display unit 143. This allows the user to recognize the empathy evaluation items. Note that the information indicating the empathy evaluation items may be transmitted via 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 in responding can be reduced while also reducing the burden on the user in considering the results.

[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 shown in Box 1 of Embodiment 1. 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] 1 , an information processing system 200 according to the second embodiment includes a personal characteristic estimation device 110, a consideration acquisition device 120, a rating acquisition device 130, a terminal 140, and an information processing device 250. The personal characteristic estimation device 110, the consideration acquisition device 120, the rating acquisition device 130, and the terminal 140 of the information processing system 200 according to the second embodiment are similar to the personal characteristic estimation device 110, the consideration acquisition device 120, the rating acquisition device 130, and the terminal 140 of the information processing system 100 according to the first embodiment.

[0110] 19 is a block diagram schematically illustrating a configuration of an information processing device 250 according to Embodiment 2. 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 storage 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 storage unit 160, communication unit 170, acquisition unit 171, and specific control unit 172 of the information processing device 150 in embodiment 1. However, when the acquisition unit 171 acquires evaluation information, it also provides the acquired evaluation information to the additional 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 multiple types included in the personal characteristics of multiple users matches both a self-selected option and the value contained in the personal characteristics of multiple users exceeds a predetermined threshold, the additional 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 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 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 evaluated 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 showing an outline of the configuration of an information processing system 300 according to embodiment 3. The information processing system 300 includes a personal characteristic estimation device 110, a consideration acquisition device 120, a rating 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 rating acquisition device 130, and the terminal 140 of the information processing system 300 according to embodiment 3 are similar to the personal characteristic estimation device 110, the consideration acquisition device 120, the rating 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 that schematically shows the configuration of the external environment acquisition device 380 in embodiment 3. The external environment acquisition device 380 includes a communication unit 381 and an information acquisition unit 382.

[0118] The communication unit 381 communicates 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 into 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 the 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, for example, by a computer 10 as shown in Fig. 3. For example, the information acquisition unit 382 can be realized by reading a program stored in the non-volatile storage device 11 into the volatile storage device 12 and executing the program with the processor 13. Furthermore, 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 performs recommendation based on empathy evaluation items. Fig. 22 is a block diagram that schematically shows the configuration of the information processing device 350 in embodiment 3. The information processing device 350 includes a storage unit 360, a communication unit 170, an acquisition unit 371, and a specification control unit 372. The communication unit 170 of the information processing device 350 in embodiment 3 is similar to the communication unit 170 of the information processing device 150 in embodiment 1.

[0123] The storage unit 360 stores information necessary for processing in 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 storage unit 360 in the third embodiment are similar to the personal characteristic information management table 161, the consideration information management table 162, and the evaluation information management table 163 stored in the storage unit 160 in the first embodiment.

[0124] The rating estimation table 364 stores estimated ratings indicating options that are estimated to be rated by users according to combinations of external environments, study names, evaluation items, and personal characteristics. FIG. 23 is a schematic diagram showing an example of the rating estimation table 364. The rating estimation table 364 has an external environment column 364e, a study name column 164a, an evaluation item column 164b, a personal characteristic column 164c, and an estimated rating column 164d. The study name column 164a, the evaluation item column 164b, the personal characteristic column 164c, and the estimated rating column 164d of the rating estimation table 364 in the third embodiment are similar to the study name column 164a, the evaluation item column 164b, the personal characteristic column 164c, and the estimated rating column 164d of the rating estimation table 164 in the first embodiment.

[0125] The external environment column 364e stores the external environment. Here, the external environment is assumed to be a season. For example, FIG. 23 shows that, in the season "winter" and in the evaluation item "comfort" of the study name "air conditioning temperature setting," if the user's gender among the personal characteristics is "male," the option "20°C" is estimated to be highly rated. On the other hand, in the season "summer" and in the evaluation item "comfort" of the study name "air conditioning temperature setting," if the user's gender among the 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. The external environment information management table 365 stores the external environment of the current user. The example of Fig. 24 indicates that the external environment of the current user is "summer."

[0127] 22 , the acquisition unit 371 acquires various pieces of information via the communication unit 170 and stores the acquired information in the storage unit 360. The acquisition unit 371 in the third embodiment performs the same processing as the acquisition 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, from the personal characteristic information management table 161, the personal characteristic of a user identified by the user ID included in the record identified from the consideration information management table 162. The identification control unit 372 also identifies an 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 a star in the corresponding column of the evaluation information management table 163 according to the estimated evaluation.

[0131] 25 is a sequence diagram showing an example of operations performed between the information processing device 350 and the external environment acquisition device 380 in embodiment 3. 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 showing an example of an estimated evaluation estimation process according to embodiment 3. Among the processes included in the flowchart shown in Fig. 26, those that perform the same processes as those in the flowchart shown in Fig. 16 are denoted by the same reference numerals as in Fig. 16, and detailed descriptions 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 S90, 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 evaluation, 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] 1 , an information processing system 400 according to embodiment 4 includes a personal characteristic estimation device 110, a consideration acquisition device 120, a rating acquisition device 130, a terminal 140, and an information processing device 450. The personal characteristic estimation device 110, the consideration acquisition device 120, the rating acquisition device 130, and the terminal 140 of the information processing system 400 according to embodiment 4 are similar to the personal characteristic estimation device 110, the consideration acquisition device 120, the rating 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 performs recommendations based on empathy evaluation items. Fig. 27 is a block diagram that schematically shows the configuration of the information processing device 450 in embodiment 4. 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 showing an example of a voluntary evaluation input process according to embodiment 4. Among the processes included in the flowchart shown in Fig. 28, those that perform the same processes as those in the flowchart shown in Fig. 17 are denoted by the same reference numerals as in Fig. 17, and detailed descriptions thereof will be omitted.

[0148] First, the reproduction control unit 475 reproduces options for the target consideration (S100). The options may be reproduced by operating real devices, 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 processes of steps S60 to S62 shown in Fig. 28 are the same as the processes of steps S60 to S62 shown in Fig. 17.

[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 each of the above-described embodiments can be combined as appropriate. Furthermore, the processing performed by the information processing devices 150 to 450 described above may be performed by multiple computers. In other words, the first to fourth embodiments may be realized by an information processing system including multiple 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 Reference 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

[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 Storage 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; a specific control unit that, based on a personal characteristic 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 that, based on a personal characteristic of the second user, infers one option to be selected by the second user from the plurality of options as a second inferred option. An information processing device comprising:

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 apparatus according to claim 1,

3. the acquiring unit acquires information indicating a first self-selected option which is one option selected by the first user from the plurality of options, and information indicating a second self-selected option which 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 apparatus according to claim 1,

4. Further comprising 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 apparatus according to claim 3,

5. The individual characteristics are composed of a plurality of values ​​corresponding to a plurality of types, the identification control unit refers to evaluation estimation information indicating, as an estimated evaluation, an option estimated to be selected by a user whose personal characteristic includes at least one value corresponding to at least one of the multiple types, and, when the personal characteristic of the first user includes the at least one value, estimates the option indicated by the estimated evaluation corresponding to the at least one value as the first estimated option, and, when the personal characteristic of the second user includes the at least one value, 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 ,

6. The acquisition unit acquires information indicating a self-selected option which is one option selected from the plurality of options by each of a plurality of users, and an additional control unit that, when the number of times that information 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 and the self-selected option match is acquired exceeds a predetermined threshold, adds the self-selected option that matches to the evaluation estimation information as an option indicated by the estimated evaluation in association with the at least one matching value.

6. The information processing device according to claim 5,

7. The acquisition unit further acquires external environment information indicating an external environment, The individual characteristics are composed of a plurality of values ​​corresponding to a plurality of types, The identification control unit refers to evaluation estimation information indicated in each of a plurality of external environments, with an option estimated to be selected by a user whose personal characteristics include at least one value corresponding to at least one of the plurality of types included in the plurality of types as an estimated evaluation, and estimates, when the personal characteristics of the first user include the at least one value in the external environment indicated in the external environment information, the option indicated by the estimated evaluation corresponding to the at least one value as the first estimated option, and estimates, when the personal characteristics of the second user include the at least one value in the external environment indicated in the external environment information, 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. The information processing device according to claim 6 .

11. Further comprising a reproduction control unit that reproduces the plurality of options. 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 and functioning as a specific control unit that estimates, from a personal characteristic of the first user, one option to be selected by the first user from the plurality of options as a first inferred option, and that estimates, from a personal characteristic of the second user, one option to be selected by the second user from the plurality of options as a second inferred option. 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; a specific control unit that, based on a personal characteristic 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 that, based on a personal characteristic of the second user, infers one option to be selected by the second user from the plurality of options as a second inferred option. An information processing system comprising:

14. Obtaining 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; presuming, based on a personal characteristic of the first user, one option selected by the first user from the plurality of options as a first presumed option; presuming, from a personal characteristic of the second user, one option selected by the second user from the plurality of options as a second presumed option. An information processing method comprising: