JP2020154427A - Information processing apparatus, information processing method, and program - Google Patents

Abstract

To provide an information processing apparatus, an information processing method, and a program that can provide a value based on an experience of a user to people other than the user.SOLUTION: A server 100 includes: a life log information acquisition unit 121 that acquires life log information detected in a user's life; an extraction unit 122 that extracts first user characteristic information 156 related to at least one of an experience and a characteristic of a user based on the life log information; a recording unit 123 that records the first user characteristic information 156 in association with the user; an input information processing unit that acquires second user characteristic information 162 related to the experience or the characteristic of the user based on information input from the user; and a user value information generation unit 132 that generates user value information 164 expressing a user value that can be provided to people other than the user, based on the first user characteristic information 156 and the second user characteristic information 162.SELECTED DRAWING: Figure 3

Description

The present invention relates to an information processing device, an information processing method, and a program.

Conventionally, it has been proposed to acquire and use life log information about a user. The life log information is used for providing a service that knows the user's behavior and predicts the user's behavior. For example, Patent Document 1 discloses a system that acquires sensor data acquired from a sensor as life log information related to a user and assigns a label to the life log information. This system speaks to the user based on the life log information and acquires the user's response to the utterance. Then, when a contradiction occurs between the utterance and the response, the label of the life log information is corrected.

Japanese Unexamined Patent Publication No. 2015-152947

As described above, various uses have been proposed for life log information, which is objective information about the user. As with life log information, if it is possible to informatize the user's intrinsic aspects such as the user's experience, skills, and thinking methods, it is considered to be useful. However, conventionally, no method has been proposed for obtaining information that can be provided to a person other than the user regarding the intrinsic aspect of the user.
The present invention has been made in view of the above background, and an object of the present invention is to provide an information processing device, an information processing method, and a program capable of providing a value based on a user's experience or the like to a person other than the user.

As an embodiment for achieving the above object, at least one of the user's experience and features based on the life log information acquisition unit that acquires the life log information detected in the user's life and the life log information. An extraction unit that extracts related first user characteristic information, a recording unit that records the first user characteristic information in association with the user, and an experience or feature of the user based on information input from the user. A user who expresses a user value that can be provided to a person other than the user based on the input information processing unit that acquires the second user characteristic information related to the first user characteristic information and the first user characteristic information and the second user characteristic information. An information processing device including a user value information generation unit that generates value information can be mentioned.

In the information processing apparatus, based on the registration unit that registers the user value information generated by the user value information generation unit in the user value database, the extraction condition acquisition unit that accepts the input of the extraction condition, and the extraction condition. , The user value information output unit that extracts and outputs the user value information from the user value database may be provided.

In the information processing device, the user value information generation unit extracts information necessary for expressing the value of the user's experience or feature from the first user characteristic information and the second user characteristic information. , The user value information may be generated.

In the information processing device, the user value information generation unit compares the first user characteristic information with the second user characteristic information, determines the reliability of the information about the user, and has a reliability equal to or higher than a set level. The user value information may be generated based on the information determined to have the property.

The information processing apparatus includes a classification unit that classifies the first user characteristic information and the information contained in the second user characteristic information into set attributes, and the user value information generation unit includes the first user characteristic information. And the information classified into a specific attribute by the classification unit may be deleted from the second user characteristic information to generate the user value information.

The information processing apparatus includes a conversion unit that converts the first user characteristic information and the information contained in the second user characteristic information into text information, and a text evaluation unit that evaluates the text information. , The text information is divided into elements composed of morphemes or combinations of morphemes in natural language and classified, and the text evaluation unit is a relationship between each of the elements classified by the classification unit and a plurality of the elements. The evaluation of the text information may be determined based on at least one of them, and the determined evaluation may be given to the user value information.

In the information processing apparatus, the classification unit selects information classified into the success experience of the user and information classified into the failure experience from the information included in the first user characteristic information and the second user characteristic information. The text evaluation unit extracts the information classified into the success experience and the failure experience with respect to the user value information including both the information classified into the success experience and the information classified into the failure experience. It may be configured to give a higher evaluation than the user value information that does not include any of the information classified in.

In the information processing apparatus, the classification unit extracts information classified into an abstract expression and information classified into a specific expression from the information included in the first user characteristic information and the second user characteristic information. Then, the text evaluation unit refers to the information classified into the abstract expression and the information classified into the abstract expression with respect to the user value information including both the information classified into the abstract expression and the information classified into the specific expression. It may be configured to give a higher evaluation than the user value information that does not include any of the information classified into the specific expression.

The information processing device includes a question presenting unit that outputs question information to the user, and the question presenting unit obtains the question information for acquiring information that is insufficient to express the value of the user. It may be configured to be presented to the user.

In the information processing device, when the information input by the user includes information that the user does not permit to be published, the user value information generation unit does not include the information that the user does not permit to publish. It may be configured to generate value information.

The information processing apparatus includes a first audio output unit, a second audio output unit configured as a separate body from the first audio output unit, and a sound collecting unit for collecting audio, and the input information. The processing unit is input by the user's voice by collecting the voice emitted by the user in response to the voice output from the first voice output unit and the second voice output unit by the sound collecting unit. Information may be acquired, the voice of a question to the user may be output by the first voice output unit, and the voice prompting a response to the voice of the question may be output from the second voice output unit.

In the information processing device, a request receiving unit that accepts an input of a browsing request from a user terminal device used by an information using user, and a confirmation that outputs confirmation information to the user in response to an input of a browsing request by the information using user. An information output unit, a response reception unit that receives a response input input by the user in response to the confirmation information, and a consideration processing unit that performs a consideration transaction process for moving the consideration between the information user and the user. The extraction condition acquisition unit acquires the extraction condition based on the input of the browsing request, and the user value information output unit obtains the extraction condition based on the response input received by the response reception unit. The user value information extracted based on the above is output to the user terminal device, and the consideration processing unit collects the consideration from the information user and pays the user in response to the output of the user value information. It may be configured to perform processing.

In the information processing device, a conversion unit that converts the first user characteristic information and the information contained in the second user characteristic information into text information, a text evaluation unit that evaluates the text information, and the user terminal device The integrated evaluation of the user value information is determined based on the combination of the user evaluation acquisition unit that acquires the evaluation for the user value information, the evaluation acquired by the user evaluation acquisition unit, and the evaluation by the text evaluation unit. The evaluation integrated unit and the consideration processing unit may be configured to determine the consideration of the user value information based on the integrated evaluation of the user value information.

As another aspect for achieving the above object, a first aspect of acquiring life log information detected in the user's life and using the life log information, which is related to at least one of the user's experience and characteristics. User characteristic information is extracted, the first user characteristic information is recorded in association with the user, and the second user characteristic information related to the experience or characteristic of the user is acquired based on the information input from the user. Then, an information processing method for generating user value information expressing a user value that can be provided to a person other than the user based on the first user characteristic information and the second user characteristic information can be mentioned.

As another aspect for achieving the above object, a computer is provided with a life log acquisition unit that acquires life log information detected in the user's life, and the user's experience and characteristics based on the life log information. The user is based on an extraction unit that extracts at least one of the first user characteristic information, a recording unit that records the first user characteristic information in association with the user, and information input from the user. A user value that can be provided to a person other than the user based on the input information processing unit that acquires the second user characteristic information related to the experience or the characteristic of the user, and the first user characteristic information and the second user characteristic information. A user value information generation unit that generates user value information that expresses the above, and a program that functions as a user value information generation unit can be mentioned.

According to the information processing device, by obtaining user value information expressing the value of the user's experience and features, the intrinsic value of the user can be made into information that can be provided to a person other than the user and used. Since user value information is information that can be recorded and transmitted, by generating user value information, the user's experience and characteristics can be utilized as social assets. Further, since the user value information is generated based on the first user characteristic information extracted based on the objective life log and the second user characteristic information having subjective characteristics, it has universality. , User value information with high utility value can be obtained. Similar effects can be obtained by the above information processing method and the program.

Explanatory drawing which shows the schematic structure of an information management system. The block diagram of the main part of the information management system. A block diagram showing the functional configuration of the server. Explanatory drawing which shows the mode of hearing. The schematic diagram which shows the structural example of the 2nd user characteristic information. A flowchart showing the operation of the server. A flowchart showing the operation of the server. The figure which shows the display example of the user value information.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
[1. Information management system overview]
FIG. 1 is a diagram showing a schematic configuration of an information management system 1 including a server 100 to which the information processing apparatus of the present invention is applied. FIG. 2 is a configuration diagram of a main part of the information management system 1, and is a block diagram showing a functional configuration of a part of the devices constituting the information management system 1.

The information management system 1 is composed of a server 100 and various devices communicably connected to the server 100 via a communication network 400. The information management system 1 includes an observation device 210, a biological information detection device 220, and a user terminal device 230 as devices for collecting the life log of the user U1. Each of these devices is connected to the communication network 400 by the communication device 300 and can communicate with the server 100.

The observation device 210 is a device that detects the user U1 and its surrounding environment. FIG. 1 shows an example in which a drone flying around the user U1 is used as the observation device 210.
The biological information detection device 220 is a device that is attached to the body of the user U1 and measures and detects the body of the user U1. FIG. 1 shows an example configured as a wristwatch-type device worn on the arm of the user U1.

The user terminal device 230 is a terminal device used by the user U1, and has functions such as an input operation by the user U1 and a display of information. Further, the user terminal device 230 includes a sensor described later, and measures and detects the user U1. The user terminal device 230 is, for example, a personal computer, a smartphone, or the like used by the user U1.

The information management system 1 includes a user terminal device 350 connected to the server 100 by the communication network 400. The user terminal device 350 is a terminal device used by the information user U2, such as a personal computer or a smartphone.

The communication network 400 is a wide area network including a public line network, a dedicated line, or other communication line, or a premises communication network such as a LAN (Local Area Network). The communication network 400 connects the server 100 and other devices so that data communication is possible.

In the present embodiment, the observation device 210, the biological information detection device 220, the first terminal device 250, and the second terminal device 260 perform communication with the communication device 300.
The communication device 300 has a relay function for connecting each device of the observation device 210, the biological information detection device 220, the first terminal device 250, and the second terminal device 260 to the communication network 400. The communication device 300 executes wireless communication such as Wi-Fi (registered trademark) and Bluetooth (registered trademark) with each of the above devices.

The user terminal device 230 connects to the communication network 400 by mobile wireless communication without going through the communication device 300, and executes data communication with the server 100. Further, the user terminal device 230 may communicate with the server 100 via the communication device 300 by executing communication with the communication device 300.

The observation device 210 and the biometric information detection device 220 may each be connected to the communication network 400 by mobile wireless communication without going through the communication device 300, and may execute data communication with the server 100.
Further, the observation device 210 and the biometric information detection device 220 execute wireless communication with the user terminal device 230, and even if the user terminal device 230 relays the communication between the observation device 210 and the biometric information detection device 220 and the server 100. Good. The user terminal device 230 may receive and store the data transmitted by the observation device 210 and the biometric information detection device 220, and transmit the stored data to the server 100.

The server 100 acquires data detected in the life of the user U1 from the observation device 210, the biological information detection device 220, and the user terminal device 230, and generates and stores the life log information 154 based on the acquired data.

A life log is composed of data belonging to at least one of the life activity, ecology, and social behavior of a target person, and refers to information that can be used as a record of the person's life. The life log information 154 of the present embodiment is information that records the behavior of the user U1 who is the target person. The server 100 identifies the behavior of the user U1 from the position of the user U1, the movement route, the biometric information of the user U1, and the like, and generates the life log information 154 that associates the behavior of the user U1 with the date and time. For example, the life log information 154 includes the date and time when the user U1 ate, the location information of the place where the meal was eaten, the store name, the image data of the place where the meal was eaten, the time required for the meal, and the like.

The information management system 1 includes a first terminal device 250 and a second terminal device 260 that conduct hearings with the user U1. The first terminal device 250 and the second terminal device 260 are interactive user interface devices that output sounds and voices to the user U1, have a conversation with the user U1, and collect the sounds emitted by the user U1. .. The data of the utterance of the user U1 in the conversation between the first terminal device 250 and the second terminal device 260 and the user U1 is transmitted to the server 100. In the following description, voice in natural language and other sounds are referred to as voice. The first terminal device 250 and the second terminal device 260 have a conversation with the user U1 and prompt the user U1 to speak. The server 100 stores the content spoken by the user U1 as hearing data 159.

The server 100 generates user value information 164 based on the life log information 154 and the hearing data 159.
The user value information 164 is information that is valued by being shared with other people among the intrinsic information such as experience, skill, thinking method, know-how, etc. possessed by the user U1. For example, the experience of user U1's past failures and successes creates value because it can provide solutions and suggestions for problems to anyone other than user U1. The value generated by embodying the intrinsic information of the user U1 is referred to as the true value of the user U1 in the following description. The user value information 164 is information in which the true value of the user U1 can be transmitted to a person other than the user U1. For example, it can be said that the personal belief of the user U1 has no true value because it is difficult to share it with other people or sharing it does not generate value.

By providing the user value information 164 to a person other than the user U1, the server 100 enjoys the value from the experience, skill, thinking method, know-how, etc. of the user U1. Further, the server 100 embodies the true value of the user U1 as the user value information 164, makes the true value of the user U1 marketable, and makes it possible to obtain the consideration by providing the true value.

The information user U2 operates the user terminal device 350 to use the user value information 164 of the server 100. The user terminal device 350 requests the server 100 to provide the user value information 164 according to the operation of the information user U2. The server 100 extracts the user value information 164 that meets the requirements of the user terminal device 350 and transmits it to the user terminal device 350. The user terminal device 350 receives and displays the user value information 164 transmitted from the server 100, and provides it to the information user U2.

Further, the server 100 setstles the consideration when the information use user U2 uses the user value information 164. Specifically, it receives payment from the information-using user U2 as consideration for the user value information 164, and pays the consideration to the user U1 who has provided the information that is the source of the user value information 164.

[2. Configuration of each part of the information management system]
The configurations of the observation device 210, the biological information detection device 220, the user terminal device 230, the first terminal device 250, and the first terminal device 250 will be described with reference to FIG.

The observation device 210 includes a camera 211 and a communication unit 212. The observation device 210 transmits the captured image data obtained by capturing the user U1 by the camera 211 to the server 100 by the communication unit 212.

The biological information detection device 220 includes a control unit 221, a biological sensor 222, a body motion sensor 223, and a communication unit 224. The control unit 221 includes a processor such as a CPU (Central Processing Unit), and controls each unit of the biometric information detection device 220 by executing a program stored in a storage unit (not shown).

The biosensor 222 is a sensor that detects the biometric information of the user U1. Specifically, it detects pulse, blood pressure, blood oxygen concentration, body temperature, sweating, and the like. The body motion sensor 223 is a motion sensor that detects the motion of the biological information detection device 220. For example, the body motion sensor 223 is a compass including an acceleration sensor, a gyro sensor, and a magnetic sensor. The biological information detection device 220 may be an integrated sensor unit that integrates a plurality of types of motion sensors. For example, a 6-axis sensor unit or a 9-axis sensor unit can be adopted as the body motion sensor 223.
The control unit 221 transmits the detection result of the biosensor 222 and the detection result of the body motion sensor 223 to the server 100 by the communication unit 224.

The user terminal device 230 includes a control unit 231, an input unit 232, a display unit 233, a 9-axis sensor 234, a GPS (Global Positioning System) 235, a barometric pressure sensor 236, and a communication unit 237.
The control unit 231 includes a processor such as a CPU, and controls each unit of the user terminal device 230 by executing a program stored in a storage unit (not shown).

The input unit 232 receives the input operation by the user U1 and outputs the input data to the control unit 231. The display unit 233 includes a display screen composed of a liquid crystal display panel and an organic EL (Electroluminescence) display panel, and displays characters and images under the control of the control unit 231.

The user terminal device 230 includes a motion sensor. In this embodiment, as an example, an example including a 3-axis acceleration sensor, a 3-axis angle gyro sensor, and a 9-axis sensor 234 integrated with a 3-axis compass is shown. The 9-axis sensor 234 detects the movement of the user terminal device 230.
The GPS 235 detects the position of the user terminal device 230 by receiving a radio signal transmitted from an artificial satellite.
The barometric pressure sensor 236 detects the barometric pressure in the environment of the user terminal device 230.

The communication unit 237 connects to the communication network 400 by mobile wireless communication under the control of the control unit 231 and executes data communication with the server 100.
The control unit 231 transmits the detection results of the 9-axis sensor 234, the GPS 235, and the barometric pressure sensor 236 to the server 100 by the communication unit 237.

Further, the control unit 231 may transmit the data input by the user U1 to the server 100. Further, the control unit 231 causes the display unit 233 to display characters and images based on the data received from the server 100.

The captured image data of the camera 211 is information that records the actions and actions of the user U1 together with the surroundings of the user U1. The detection results of the body motion sensor 223 and the 9-axis sensor 234 indicate the movement of the user U1, and the detection results of the GPS 235 and the barometric pressure sensor 236 indicate the position of the user U1. The detection result of the biosensor 222 indicates the life activity of the user U1. By processing these life logs in an integrated manner, it is possible to generate a record of the behavior of the user U1.

The first terminal device 250 includes a first terminal control unit 251, a first audio output unit 252, a sound collecting unit 253, and a communication unit 254. The first terminal control unit 251 includes a processor such as a CPU, and controls each unit of the first terminal device 250 by executing a program stored in a storage unit (not shown).

The first audio output unit 252 includes a D / A converter, an amplifier, a speaker, and the like that convert digital audio data into an analog audio signal, and outputs audio based on the digital audio data input from the first terminal control unit 251. The sound collecting unit 253 collects sound by a microphone to generate an analog voice signal or digital voice data, and outputs the sound to the first terminal control unit 251.

The first terminal control unit 251 executes communication with the server 100 by the communication unit 254. The first terminal control unit 251 outputs a voice based on the digital voice data received from the server 100 from the first voice output unit 252. Further, the first terminal control unit 251 transmits the digital voice data of the voice collected by the sound collecting unit 253 to the server 100.

The second terminal device 260 includes a second terminal control unit 261 and a second audio output unit 262, and a communication unit 263. The second terminal control unit 261 includes a processor such as a CPU, and controls each unit of the second terminal device 260 by executing a program stored in a storage unit (not shown).

The second audio output unit 262 includes a D / A converter, an amplifier, a speaker, etc. that convert digital audio data into an analog audio signal, and outputs audio based on the digital audio data input from the second terminal control unit 261. The second terminal control unit 261 executes communication with the server 100 by the communication unit 263, and outputs voice based on the digital voice data received from the server 100 from the second voice output unit 262.

The second terminal device 260 may be configured to perform communication with the first terminal device 250 by the communication unit 263. In this case, the second terminal control unit 261 receives the digital audio data from the first terminal device 250, and the second terminal control unit 261 outputs the audio. The digital voice data generated by the server 100 may be transmitted to the second terminal device 260 via the first terminal device 250. Alternatively, the digital voice data generated by the first terminal control unit 251 may be transmitted to the second terminal device 260.

FIG. 3 is a block diagram showing a functional configuration of the server 100.
The server 100 is a computer composed of a communication unit 110, a CPU 120, a memory 150, and the like. The communication unit 110 is connected to the communication network 400 by a wired communication line or wireless communication. The server 100 communicates with the observation device 210, the biological information detection device 220, the user terminal device 230, the first terminal device 250, and the second terminal device 260 by the communication unit 110.

The memory 150 is a storage device that stores data and programs readable by the CPU 120, and is composed of a semiconductor memory element, a magnetic storage medium, an optical storage medium, other storage devices, and the like. The control program 151 is stored in the memory 150.

By reading and executing the control program 151, the CPU 120 reads and executes the life log information acquisition unit 121, the extraction unit 122, the recording unit 123, the hearing processing unit 130, the text evaluation unit 136, the related data collection unit 140, and the registration unit 141. It functions as a request reception unit 142, an extraction condition acquisition unit 143, a user value information output unit 144, a user evaluation acquisition unit 145, an evaluation integration unit 146, and a consideration processing unit 147. The hearing processing unit 130 is composed of an input information processing unit 131, a user value information generation unit 132, a conversion unit 133, a classification unit 134, and a question presentation unit 135, and the CPU 120 also controls the control program 151 in each of these function units. It is realized by executing.
The CPU 120 may be composed of another processor such as a microcomputer, or may be a device in which a processor, a ROM (Read Only Memory), a RAM (Random Access Memory), and the like are integrated.

The memory 150 stores the user DB 152, the dictionary data 157, and the price data 165 in addition to the control program 151.

The user DB (database) 152 and the user value information DB 163 are stored in the memory 150. Each of these databases is realized by utilizing the storage area of the memory 150. The user DB 152 stores user information about a user who uses the server 100 in association with user identification information that identifies each user. The user DB 152 stores, for example, user information regarding the user U1 and the information user U2. The user value information DB 163 stores the user value information 164.

Further, in the storage area of the memory 150, a life log information storage unit 153, a first user characteristic information storage unit 155, a hearing data storage unit 158, a related data storage unit 160, and a second user characteristic information storage unit 161 are provided. Be done.
The life log information storage unit 153 stores the life log information 154. The first user characteristic information storage unit 155 stores the first user characteristic information 156, and the hearing data storage unit 158 stores the hearing data 159. Further, the second user characteristic information storage unit 161 stores the second user characteristic information 162.

The life log information acquisition unit 121 acquires and analyzes the data transmitted from the observation device 210, the biometric information detection device 220, and the user terminal device 230 to obtain the life log information 154, which is a record of the behavior of the user U1. Generate. The life log information acquisition unit 121 stores the generated life log information 154 in the life log information storage unit 153.

The extraction unit 122 acquires the life log information 154 including the date and time corresponding to the period to be processed, and extracts the information regarding the true value of the user U1 from the life log information 154. The period to be processed is for each preset period or for each action break of the user U1 included in the life log information 154. This period is specified in units of days, months, years, etc.
The extraction unit 122 extracts information from the life log information 154 and generates the first user characteristic information 156 based on the extracted information. The extraction unit 122 adds information indicating the period to be processed of the life log information 154 to the first user characteristic information 156. The recording unit 123 stores the first user characteristic information storage unit 155 generated by the extraction unit 122.

For example, the extraction unit 122 identifies the behavior of the user U1 in the target period based on the life log information 154, and identifies the connection between the plurality of behaviors of the user U1. As a result, the extraction unit 122 generates an episode composed of a plurality of actions. For example, the action of the user U1 calling out to the person P who is lost at the station, the action of guiding the person P to the office of the station, and the action of the user U1 meeting the person P and being greeted at another date and time. When extracted from information 154, these actions are combined as one episode.

The extraction unit 122 may be composed of information extracted from the life log information 154 and artificial intelligence (AI: Artificial Intelligence) that has been learned to specify a combination of the information. That is, the AI that has learned the learning data set having the information to be extracted from the life log information 154 and the label indicating the type of the information to be extracted may be used as the extraction unit 122. In this case, the extraction unit 122 may have the learned AI implemented on the server 100. Further, the extraction unit 122 mounted on the server 100 may receive feedback on the result of extracting information from the life log information 154 and execute learning.

In this way, the life log information acquisition unit 121, the extraction unit 122, and the recording unit 123 generate and record the first user characteristic information 156 regarding the true value of the user U1 based on the life log information 154 of the user U1.

The hearing processing unit 130 executes a hearing for the user U1 using the first terminal device 250 and the second terminal device 260, and generates the second user characteristic information 162 based on the result of the hearing.

FIG. 4 is an explanatory diagram showing a mode of hearing.
In the hearing, the first terminal device 250 and the second terminal device 260 speak to the user U1. In the example of FIG. 4, the server 100 causes the first terminal device 250 to pronounce the question T1 and asks for the answer of the user U1. When the user U1 makes an utterance T2 in response to the question T1, the server 100 causes the second terminal device 260 to pronounce the utterance T3.

The server 100 causes the first terminal device 250 to pronounce a question T4 asking for specific content related to the utterance T2 based on the content of the utterance T2 of the user U1. When the user U1 makes an utterance T5 in response to the question T4, the server 100 causes the second terminal device 260 to pronounce the utterance T6. Further, the first terminal device 250 causes the question T7 to pronounce the question T7 asking the background of the content of the utterance T5.

In this example, each time the user U1 speaks, the server 100 generates a question corresponding to the content of the user U1's utterance and causes the first terminal device 250 to pronounce it. For this reason, we request specific information about the content that user U1 talks about, ask for the continuation of the story, ask for more detailed background, and ask for a summary of multiple experiences to give highly general suggestions. ,can do. A more general suggestion is, in other words, a more abstract expression.
In this way, by generating a question corresponding to the content of the utterance of the user U1, a lot of detailed information can be obtained from the user U1.

For example, in the conversation of FIG. 4, the first terminal device 250 pronounces the question T1 for causing the user U1 to say that the user U1 is confident, and then corresponds to the utterance T2 of the user U1. The question T4, which asks for specific content, is pronounced. Further, the first terminal device 250 is made to pronounce the question T7 for requesting information related to the utterance T2 of the user U1. Through these conversations, the server 100 can obtain information about an abstract expression included in the utterance T2 and a specific episode included in the utterance T5.

Further, the server 100 may share the utterance content between the first terminal device 250 and the second terminal device 260 when conducting a hearing. In the example of FIG. 4, the second terminal device 260 outputs the voices of the remarks T3 and T6 recognized as the reciprocity by the user U1. This is in contrast to the first terminal device 250 outputting the voices of questions T1, T4, and T8. That is, the question presenting unit 135 outputs the voice of the question from the first terminal device 250, and outputs the voice prompting the response to the voice of the question from the second terminal device 260.

Information can be extracted from the user U1 by using the questions T1, T4, and T8, and the statements T3 and T6 have no meaning as a question, but have a psychological effect on the user U1. That is, since the first terminal device 250 and the second terminal device 260 function as a partner for a plurality of conversations with the user U1, it is possible to realize a hearing imitating a group conversation. Since the group conversation gives less tension and blockage to the user U1 than the one-to-one conversation format, the effect of relaxing the user U1 can be expected. Therefore, a lot of information can be obtained from the user U1 more efficiently by the hearing.
The content pronounced by the first terminal device 250 and the second terminal device 260 is generated by the question presenting unit 135, which will be described later.

The input information processing unit 131 generates hearing data 159 to be a record of hearing, and stores it in the hearing data storage unit 158. The hearing data 159 includes data related to the utterance of the user U1, and may include data related to the question or utterance pronounced by the first terminal device 250 and the second terminal device 260. The hearing data 159 is, for example, voice data collected by the sound collecting unit 253 during the hearing.

The user value information generation unit 132, together with the conversion unit 133 and the classification unit 134, executes a process of generating the second user characteristic information 162 from the hearing data 159.

The conversion unit 133 converts the hearing data 159 into text data.
The classification unit 134 decomposes the text data converted by the conversion unit 133 into elements and classifies each element. For example, the classification unit 134 executes morphological analysis of text data and extracts an element composed of a morpheme or a combination of morphemes. Here, an element refers to an idiom, a phrase, a clause, a sentence, a sentence, or the like that constitutes a sentence. The classification unit 134 classifies each element based on the relationship with the true value of the user U1. Details of the classification will be described later with reference to FIG.
The user value information generation unit 132 generates the second user characteristic information 162 including information on the true value of the user U1 by associating the elements classified by the classification unit 134.

The question presenting unit 135 refers to the elements included in the second user characteristic information 162, and generates a question for the user U1 to speak about the missing element. The question presenting unit 135 generates data for causing the first terminal device 250 to speak the generated question, and transmits the generated question to the first terminal device 250 by the communication unit 110. The content spoken by the user U1 in response to this question is recorded as hearing data 159. The conversion unit 133 converts the utterance of the user U1 into text data, and the classification unit 134 analyzes and classifies the converted text data.

FIG. 5 is a schematic diagram showing a configuration example of the second user characteristic information 162.
In the example of FIG. 5, the classification unit 134 classifies the elements into temporal representations, abstract representations, and concrete representations. Examples of temporal expressions include words such as "past,""now," and "present," but they may also be words that indicate a specific time, such as date. The area in which the temporal representation is classified in the second user characteristic information 162 is defined as slot 162a.
The abstract expression is a word, a clause, a phrase, or the like in which the user U1 abstractly expresses the user U1's experience, skill, thinking method, know-how, and the like. For example, "confident", "painful", and "happiness" can be mentioned. In addition, as examples related to the know-how gained from experience, "try to stand in the position of another person", "read the psychology of the other person", "observe the movement of the other person's eyes", "continuity is required here". Expressions such as "being able to", "you may relax tension at this timing", "you may repeat the action, but you should change the pattern a little" are abstract expressions that can be applied to multiple concrete situations. Is given as an example of.
The area in which the abstract expression is classified in the second user characteristic information 162 is defined as slot 162b.

Specific expressions are words, clauses, phrases, sentences, etc. that specifically express the experience, skills, thinking methods, know-how, etc. of the user U1, for example, "saving", "investment", "meal", "new". Examples include "business" and "income". In addition, some elements are combined with other elements to form one concrete expression. For example, "investment" and "failure" are combined to form a concrete episode of "investment failure." In addition, for example, "meal" and "trouble" are combined to form a concrete episode expression of "meal trouble". In addition, it is permissible to classify elements with different concreteness in concrete expressions. For example, it goes without saying that "Thai food" is more specific than "meal" and "Tom Yum Kung" is more specific than "Thai food". It is assumed that the abstraction and concreteness of the elements included in the second user characteristic information 162 are managed and evaluated as an ontology dictionary having a hierarchical structure.

The area in which the specific expression is classified in the second user characteristic information 162 is defined as slot 162c. As described above, the slot 162c is classified into an element that is a concrete expression by itself and an element that functions as a concrete expression by being combined with other elements. Information indicating the connection between the elements is also stored in the slot 162c. The connection between elements may be either an explicit connection or a conceptual relationship.

Further, the classification unit 134 connects the elements stored in the slot 162b with the elements of the slot 162a and the elements of the slot 162c. The classification unit 134 connects the elements based on, for example, the order and timing spoken in the hearing data 159. As a result, in the second user characteristic information 162, the elements that abstractly express the experience, skill, thinking method, know-how, etc. of the user U1, the concrete contents that support the abstract expressions, and the concrete contents are timed. The expression that is positioned as a target is combined.

Of the elements stored in slot 162b, those that cannot be associated with the elements in slot 162c are not supported by a specific episode. That is, the elements of slot 162c are missing. Further, the element that is not associated with the element of slot 162a is an element that is not specified in time. That is, it can be said that the elements of slot 162a are insufficient.

The user value information 164 can be configured as data that describes, for example, the mutual relationship between elements classified into a temporal expression, an abstract expression, and a concrete expression by an ontological method.

The question presenting unit 135 generates a question so as to extract the missing information from the user U1 in the second user characteristic information 162.
For example, in the hearing shown in FIG. 4, "teaching a person" included in the utterance T2 is an abstract expression and is classified into slot 162a. At the time of utterance T2, there is no concrete expression corresponding to "teaching a person". Here, the question presentation unit 135 generates a question T4 in order to obtain specific information related to "teaching a person" from the user U1. By pronouncing question T4, specific information such as "old days", "school teacher", "from students", "easy to understand", and "said" is obtained as utterance T5. "Old" is classified in slot 162a and "school teacher" is classified in slot 162c. In addition, the expression "easy to understand" is an abstract expression by itself, but it is combined with the expressions "student" and "said" to represent a concrete episode. In this way, the elements such as "from the student", "easy to understand", and "told" included in the utterance T5 are connected to each other and classified into slot 162c.
By repeating the hearings with the user U1 in this way, it is possible to obtain the second user characteristic information 162 in which the abstract expression, the concrete expression, and the temporal expression are linked.

In addition to the process of classifying the elements, the classification unit 134 may classify whether the entire second user characteristic information 162 is a success experience or a failure experience. According to this configuration, it is possible to determine whether the content spoken by the user U1 is a success experience or a failure experience at the hearing stage.
In this case, the question presentation unit 135 may generate a question for the classification unit 134 to classify the second user characteristic information 162 as a success experience or a failure experience. For example, when the classification unit 134 cannot clearly determine whether the second user characteristic information 162 is a success experience or a failure experience, the classification unit 134 generates a question for additionally obtaining information for making the determination. In this case, the first terminal device 250 pronounces a question that causes the user U1 to speak information that assists the determination of the classification unit 134.

In the process of classifying the elements, the classification unit 134 may detect and classify the elements corresponding to the boastful story from the elements classified into the slots 162a, 162b, and 162c. For example, the classification unit 134 identifies an abstract expression that is a positive expression and is not linked to a negative abstract expression. Then, the specified abstract expression and the concrete expression associated with this abstract expression are classified as boastful stories.

The classification unit 134 has a dictionary that defines classifications such as success experience, failure experience, abstract expression, and concrete expression for the element, and the element may be classified with reference to this dictionary.
Further, the classification unit 134 may be configured by artificial intelligence that has been learned to classify the elements and the combinations of the elements included in the second user characteristic information 162. That is, the classification unit 134 may be an AI that has learned a learning data set having elements to be classified and labels indicating the classification of the elements. In this case, the classification unit 134 may be one in which the learned AI is implemented in the server 100, or may be one in which learning is continued in the state of being implemented in the server 100.
The question presenting unit 135 may be composed of artificial intelligence that generates a question based on the utterance of the user U1. That is, the question presenting unit 135 may be an AI that has learned a learning data set including words or elements included in the utterance of the user U1 and conditions related to the question to be generated. The question presentation unit 135 may be one in which the learned AI is implemented in the server 100, or may be one in which learning is continued in the state of being implemented in the server 100.

The user value information generation unit 132 integrates both the first user characteristic information 156 and the second user characteristic information 162 after the hearing has obtained sufficient information or after the hearing is completed, and the user value information generation unit 132 integrates both the first user characteristic information 156 and the second user characteristic information 162. Generate information 164. The user value information 164 includes the characteristics of the user U1, success stories, failure stories, success stories and failure stories as specific experiences of the user U1, and is, for example, story-type information including a plurality of specific events. is there.

Since the first user characteristic information 156 is information generated from the record of the actual behavior of the user U1, it is highly reliable information with support for specific behavior. On the other hand, the first user characteristic information 156 cannot be generated for the period during which the life log information 154 has not been acquired. Further, it is not easy to identify the internal event of the user U1 based on the life log information 154. The second user characteristic information 162 is information obtained by hearing. In the hearing, the information about the internal event of the user U1 is obtained as a linguistic expression emitted by the user U1, so that the second user characteristic information 162 includes more information strongly related to the true value of the user U1. It also contains information about past events. Therefore, by using both the first user characteristic information 156 and the second user characteristic information 162, the true value of the user U1 can be accurately expressed and the highly reliable user value information 164 can be generated.

The user value information generation unit 132 may generate the user value information 164 after deleting the elements classified as boastful stories from the second user characteristic information 162. Bragging stories can be unreliable, even if supported by concrete expressions. Therefore, the reliability of the user value information 164 can be enhanced by generating the user value information 164 by using the second user characteristic information 162 from which the element of the boastful story is deleted.

The user value information generation unit 132 may collate the first user characteristic information 156 and the second user characteristic information 162 to determine the reliability of the information included in the second user characteristic information 162. For example, the user value information generation unit 132 may obtain the behavioral characteristics of the user U1 based on the first user characteristic information 156. The user value information generation unit 132 may determine, among the information included in the second user characteristic information 162, information indicating content that contradicts the behavioral characteristics of the user U1 as unreliable information. In this case, the user value information generation unit 132 may generate the user value information 164 after removing unreliable information from the second user characteristic information 162. As a result, the reliability of the user value information 164 can be guaranteed.

The user value information 164 has, for example, the form of a story expressing the true value of the user U1. For example, it includes information such as the name of the true value, the background of the episode leading to the true value, the failure story, the cause of the failure, the viewpoint and the reason for overcoming the failure, the success story, the summary or the summary of the story. The user value information generation unit 132 may add information to the elements and information included in the first user characteristic information 156 and the second user characteristic information 162 in the process of generating the user value information 164. For example, the information may be supplemented for the purpose of shaping the text or for the purpose of making it a set story format.

The text evaluation unit 136 evaluates the user value information 164 generated by the hearing processing unit 130. The text evaluation unit 136 performs the first evaluation based on the elements included in the second user characteristic information 162 and the connection of the elements. In the first evaluation, the text evaluation unit 136 refers to the elements included in the second user characteristic information 162 and makes an evaluation based on whether or not the abstract expression is generalized. Specifically, it is evaluated whether or not the abstract representation of slot 162b is associated with the concrete representation of slot 162c in the second user characteristic information 162.

The text evaluation unit 136 performs a second evaluation based on the content of the user value information 164. In the second evaluation, the text evaluation unit 136 extracts the success experience and the failure experience from the information included in the user value information 164. The text evaluation unit 136 evaluates whether or not the user value information 164 includes both a success experience and a failure experience, and whether the success experience and the failure experience are supported by concrete expressions. The text evaluation unit 136 may exclude the user value information 164 including only the successful experience from the evaluation target because it may be a boastful story. In addition, the server 100 hears the user U1 at the timing when the text evaluation unit 136 evaluates the possibility of the boastful talk in order to talk about the failure experience that would have been accumulated up to the success experience. Hearing may be performed by the processing unit 130. For example, the text evaluation unit 136 also evaluates the user value information 164, which has few successful experiences, as having a low value as the true value of the user U1. In addition, the text evaluation unit 136 evaluates the user value information 164 including both the success experience and the failure experience higher than the user value information 164 not including either one. As for the success experience and the failure experience, the result determined by the classification unit 134 can be used.

The text evaluation unit 136 has a dictionary in which classifications such as success experience and failure experience are defined in advance for the elements included in the user value information 164, and evaluation may be performed with reference to this dictionary. Moreover, not only the evaluation of a single element but also the evaluation may be performed based on the context, the arrangement of vocabulary, and the like.

The text evaluation unit 136 scores the results of the first evaluation and the second evaluation, respectively. Further, the text evaluation unit 136 generates a comprehensive evaluation that integrates the results of the first evaluation and the second evaluation, and adds the result of the comprehensive evaluation to the user value information 164.

The evaluation of the text evaluation unit 136 is not limited to the first and second evaluations described above. For example, the degree of abstraction and concreteness may be evaluated for the entire story sentence included in the user value information 164. For example, the user value information 164 containing many highly specific words is highly evaluated as a highly specific story. Further, for example, the text evaluation unit 136 evaluates the user value information 164, which contains many words with a high degree of abstraction and few words with high specificity, as a story with low specificity. Further, the user value information 164 having an extremely large proportion of words having a high degree of abstraction is evaluated lower as information having particularly low reliability.
Further, the text evaluation unit 136 highly evaluates a story that contains many highly specific words but contains a moderate proportion of highly abstract words related to the words. I evaluate that this is because I can talk about my own experience concretely, and at the same time, I can generalize and express it abstractly by summarizing the concrete experience. This type of story has the potential to be applied using analogies not only to specific events that the user has experienced, but also to other events that the user has not yet experienced.

Further, the text evaluation unit 136 is not limited to the configuration in which the evaluation is performed on the text in the second evaluation, and for example, the hearing data 159 may be directly evaluated without being converted into a text.

The related data collection unit 140 collects information about the user U1 to be processed by the hearing processing unit 130. The related data collection unit 140 collects information about the user U1 from, for example, information published by SNS (Social Network Service).

The registration unit 141 registers the user value information 164 generated by the user value information generation unit 132 in the user value information DB 163. The registration unit 141 may register the user value information 164 with the evaluation given by the text evaluation unit 136 and the information collected by the related data collection unit 140 in the user value information DB 163.

The request reception unit 142, the extraction condition acquisition unit 143, and the user value information output unit 144 execute processing in response to the request of the information use user U2, and provide the information use user U2 with the user value information 164.

The information user U2 may directly search the user value information 164 stored in the user value information DB 163, or may input an abstract question into the user terminal device 350 and request a solution by the user value information 164. Good. For example, the information user U2 may input a problem he / she wants to solve or his / her question into the user terminal device 350 in natural language. The user terminal device 350 transmits the input content by the information user U2 to the server 100 as a browsing request of the user value information 164, and the request receiving unit 142 acquires the browsing request.

The extraction condition acquisition unit 143 generates or acquires an extraction condition for extracting the user value information 164 corresponding to the browsing request. For example, the extraction condition acquisition unit 143 analyzes the language included in the browsing request received from the user terminal device 350 by morphological analysis, and generates an extraction condition from the combination of the morpheme and / or the morpheme included in the browsing request. The extraction conditions may include these synonyms as well as the morphemes and / or combinations of morphemes contained in the browsing request. That is, the extraction condition acquisition unit 143 may generate an extraction condition including information not included in the browsing request.

The user value information output unit 144 searches the user value information DB 163 based on the extraction conditions, and extracts the user value information 164 corresponding to the browsing request. The user value information output unit 144 generates data for viewing the user value information 164 extracted by the user value information output unit 144, and transmits the data to the user terminal device 350 by the communication unit 110.

The user evaluation acquisition unit 145 acquires the evaluation given by the information user U2 to the user value information 164 provided by the user value information output unit 144.
After browsing the user value information 164, the information user U2 evaluates the value of the user value information 164 based on whether or not the user value information 164 is useful for solving a question or a problem. The content of the evaluation by the information user U2 is transmitted to the server 100 by the user terminal device 350. The user evaluation acquisition unit 145 acquires the evaluation transmitted by the user terminal device 350.

The evaluation integration unit 146 updates the evaluation of the user value information 164 stored in the user value information DB 163 based on the evaluation acquired by the user evaluation acquisition unit 145. As a result, the evaluation of the user value information 164 is an evaluation that integrates the evaluation by the text evaluation unit 136 and the evaluation by the user evaluation acquisition unit 145. The user value information 164 stored in the user value information DB 163 is evaluated by a plurality of parameters. The parameters include, for example, the composition ratio of boastful stories, the composition ratio of concreteness and abstraction, the overall composition ratio of failure stories and success stories, the composition ratio of success stories in the near present period, the evaluation by the information user U2, etc. It is a parameter.

The evaluation integration unit 146 may perform evaluation based on the information collected from the SNS or the like by the related data collection unit 140. For example, the influence of the user U1 on the SNS may be included as a parameter for evaluation of the user value information 164.

The consideration processing unit 147 determines the amount of consideration related to the provision of the user value information 164 based on the evaluation by the evaluation integration unit 146, and generates or updates the price data 165. The consideration processing unit 147 updates the amount of money each time the evaluation is performed by the evaluation integration unit 146.

The consideration processing unit 147 processes the consideration for outputting the user value information 164 from the server 100 to the user terminal device 350. Specifically, the user U2 who uses the information pays the consideration for the user value information 164, and the user U1 is paid the consideration for the user value information 164. The consideration associated with the provision of the user value information 164, that is, the price of the user value information 164 is stored as the price data 165.

For example, the server 100 may give valuable points to a plurality of users including the user U1 and the information use user U2. In this configuration, the user DB 152 stores information indicating the possessed points for each user. The consideration processing unit 147 receives payment from the information use user U2 by subtracting the points held by the information use user U2. Further, the consideration processing unit 147 pays the consideration to the user U1 by adding the points held by the user U1.

The consideration processing unit 147 may connect to a payment server operated by a financial institution or a payment service provider via the communication network 400 to process the consideration. For example, the consideration processing unit 147 may execute the withdrawal from the bank account, the credit card payment, the payment by electronic money or virtual currency, and the like by the payment server.

[3. Information management system operation]
6 and 7 are flowcharts showing the operation of the information management system 1. FIG. 6 shows an operation in which the server 100 generates the user value information 164.

When the hearing processing unit 130 starts hearing the user U1 (step S101), the question presenting unit 135 generates the utterance content and causes the first terminal device 250 and the second terminal device 260 to speak (step S102). Here, the input information processing unit 131 acquires the digital voice data of the sound collected by the sound collecting unit 253 (step S103), and stores the hearing data 159 in the hearing data storage unit 158 (step S104).

Subsequently, the conversion unit 133 converts the hearing data 159 into text data (step S105). The classification unit 134 analyzes the text data, divides it into elements (step S106), and classifies the elements (step S107). The hearing processing unit 130 generates the second user characteristic information 162 based on the classified elements (step S108).

The question presenting unit 135 determines whether or not there is insufficient information in the second user characteristic information 162 (step S109). When there is missing information (step S109; YES), the question presenting unit 135 generates a question in order to make the user U1 speak the missing information, and outputs the question to the first terminal device 250 (step S110). .. When the first terminal device 250 pronounces a question (step S111), the hearing processing unit 130 returns to step S103.
The second user characteristic information 162 is generated for a series of hearings of the user U1. Therefore, when steps S103-S109 are repeatedly executed in a series of hearings, the second user characteristic information 162 is updated each time in step S108.

When there is no missing information in the second user characteristic information 162 (step S109; NO), the hearing processing unit 130 determines whether or not to end the hearing (step S11). The case of ending the hearing is, for example, the case where the user U1 ends the conversation or stops answering, and the case where the amount of information of the second user characteristic information 162 exceeds the standard. If the hearing is not completed (step S112; NO), the hearing processing unit 130 returns to step S103.

When the hearing is completed (step S112; YES), the user value information generation unit 132 deletes the information classified as a boastful story from the second user characteristic information 162 (step S113). The user value information generation unit 132 determines the reliability of the information included in the second user characteristic information 162 (step S114), and deletes the unreliable information from the second user characteristic information 162 (step S115). The user value information generation unit 132 generates user value information 164 by extracting information corresponding to the success experience and the failure experience from the second user characteristic information 162 and integrating it with the first user characteristic information 156 (step). S117).

Here, the user value information generation unit 132 determines whether or not there is information for which the user U1 does not permit disclosure (step S118). When the user U1 makes a statement in the hearing that he / she wishes not to disclose, all the elements corresponding to this statement are regarded as information that is not permitted to be disclosed. When there is information for which disclosure is not permitted (step S118; YES), the user value information generation unit 132 deletes the corresponding information from the user value information 164 (step S119), and the operation of the CPU 120 shifts to step S120. If there is information that is not permitted to be disclosed (step S118; NO), the operation of the CPU 120 shifts to step S120.

In step S120, the text evaluation unit 136 evaluates the user value information 164 (step S120), and the evaluation is given to the user value information generation unit 132 (step S121). Further, the user value information generation unit 132 adds information indicating the necessity of confirmation information to the user value information 164 (step S122). In step S122, when the user value information 164 is provided to a person other than the user U1, it is determined whether or not the user U1 is requested to confirm before the provision. For example, when the user U1 requests confirmation before provision in the hearing, the user value information generation unit 132 generates the user value information 164 with a flag indicating that confirmation is required.

Subsequently, the registration unit 141 registers the user value information 164 in the user value information DB 163 (step S123), and the CPU 120 ends this process.

FIG. 7 shows an operation in which the server 100 provides the user value information 164 to the user terminal device 350.
The request receiving unit 142 acquires a browsing request transmitted by the user terminal device 350 based on the operation of the information using user U2 (step S141), and the extraction condition acquisition unit 143 generates an extraction condition in 8 steps S142). The user value information output unit 144 extracts the user value information 164 by acquiring the extraction condition (step S143) and searching the user value information DB 163 (step S144). The user value information output unit 144 generates information for displaying the extracted user value information 164 by the user terminal device 350 (step S145).

FIG. 8 is a diagram showing a display example of the user value information 164, and shows an example of a mode displayed on the user terminal device 350 based on the information generated by the user value information output unit 144. FIG. 8 shows an example in which information related to a plurality of user value information 164 is arranged side by side in the vertical direction and displayed in a list.

The user value information display unit 170 includes each display area of content display 171, detailed information display 172, classification display 173, provision time display 174, price display 175, evaluation display 176, and connecting information display 177.

Information that simply expresses the content of the user value information 164 is displayed on the content display 171. This information can also be referred to as a type or category of user value information 164.
The detailed information display 172 displays the information of the user U1 related to the user value information 164. For example, a still image or a moving image that introduces the user U1 is arranged on the detailed information display 172. It may also include information about the user U1's profile and areas of expertise. The information displayed on the detailed information display 172 is, for example, the information registered in the user DB 152, but may include the information collected by the related data collecting unit 140.

The classification display 173 displays the classification of the user value information 164. Information indicating the provision time of the user value information 164 is displayed on the provision time display 174. The price display 175 displays the consideration for providing the user value information 164, and the evaluation display 176 displays the evaluation of the user value information 164.

The connecting information display 177 displays whether or not the information using user U2 can form a connection with the user U1. Means of connection include visitation, telephone, and SNS contact.

Returning to FIG. 7, the user value information output unit 144 adjusts the display order of the user value information 164 when a plurality of user value information 164 is displayed by the user value information display unit 170 or the like (step S146). The user value information output unit 144 may arrange the user value information 164 in the order of newest, or may arrange the user value information 164 in the order of highest evaluation. Further, the user value information 164 may be arranged side by side in the order of the name recognition of the user U1 and the influence on the SNS.

When any of the user value information 164 displayed on the user terminal device 350 is selected, the user value information output unit 144 accepts the selection (step S147), and does the selected user value information 164 require confirmation? It is determined whether or not (step S148).

When confirmation is required (step S148; YES), the user value information output unit 144 outputs a confirmation request to the user terminal device 230 or the like used by the user U1 (step S149). The confirmation request may be made by using various means such as telephone, e-mail, and SNS. The user value information output unit 144 receives the response by the user U1 (step S150), and determines whether or not the provision of the user value information 164 is permitted by the user U1 (step S151).

When the provision is not permitted (step S151; NO), the user value information output unit 144 notifies the user terminal device 350 that viewing is not permitted (step S152), returns to step S147, and another user. Wait for the selection of value information 164. In the operation of steps S149-S152, the user value information output unit 144 corresponds to an example of the confirmation information output unit and the response reception unit of the present invention.

When the provision is permitted (step S151; YES) and when confirmation is not required (step S148; NO), the user value information output unit 144 uses the selected user value information 164 by the communication unit 110. It is transmitted to 350 (step S153).

After providing the user value information 164, the user evaluation acquisition unit 145 acquires the evaluation of the information user U2 input by the user terminal device 350 (step S154).
Subsequently, the consideration processing unit 147 executes the payment process of the consideration related to the provision of the user value information 164 (step S155), and receives the payment from the information use user U2. In step S155, the consideration may be paid to the user U1.

The evaluation integration unit 146 performs a process of reflecting the evaluation acquired in step S154 in the evaluation of the user value information 164 in the user value information DB 163 (step S156). As a result, the evaluation of the user value information 164 is updated. Further, the consideration processing unit 147 changes the price associated with the provision of the user value information 164 in response to the updated evaluation, reflects this change in the price data 165 (step S157), and ends this processing.

In this way, the server 100 is related to at least one of the experience and features of the user U1 based on the life log information acquisition unit 121 that acquires the life log information detected in the life of the user U1 and the life log information. The experience of the user U1 based on the extraction unit 122 that extracts the first user characteristic information 156, the recording unit 123 that records the first user characteristic information 156 in association with the user U1, and the information input from the user U1. Alternatively, based on the input information processing unit that acquires the second user characteristic information 162 related to the feature and the first user characteristic information 156 and the second user characteristic information 162, the user value that can be provided to a person other than the user U1 is provided. It has a user value information generation unit 132 that generates the user value information 164 to be expressed.

According to this configuration, by obtaining the user value information 164 expressing the experience and the value of the feature of the user U1, the intrinsic value of the user U1 is made into information that can be provided to a person other than the user U1 and used. it can. Since the user value information 164 is information that can be recorded and transmitted, by generating the user value information 164, the experience and characteristics of the user U1 can be utilized as a social asset. Further, it has universality and utility value based on the first user characteristic information 156 extracted based on the objective life log information and the second user characteristic information 162 having subjective characteristics. High user value information 164 can be obtained. Similar effects can be obtained even when the information processing method executed by the server 100 and the control program 151 are used.

The server 100 is based on the registration unit 141 that registers the user value information 164 generated by the user value information generation unit 132 in the user value database, the extraction condition acquisition unit 143 that accepts the input of the extraction condition, and the extraction condition. It includes a user value information output unit 144 that extracts and outputs user value information 164 from the user value database.
According to this configuration, the user value information 164 indicating the true value of the user U1 can be shared with a person other than the user U1 such as the information user U2.

The user value information generation unit 132 extracts the user value information 164 from the first user characteristic information 156 and the second user characteristic information 162 by extracting information necessary for expressing the value of the experience or feature of the user U1. Generate.
According to this configuration, by extracting the information necessary for expressing the true value from the information obtained from the user U1, the user value information 164 having high value for a person other than the user U1 can be generated. Further, since it is difficult for the user value information 164 to include unnecessary information, it can be expected that the utilization efficiency of the data capacity of the user value information DB 163 can be improved.

The user value information generation unit 132 compares the first user characteristic information 156 and the second user characteristic information 162, determines the reliability of the information about the user, and determines that the information has the reliability equal to or higher than the set level. User value information 164 is generated based on.
According to this configuration, highly reliable user value information 164 can be generated and shared.

The user value information generation unit 132 includes a classification unit 134 that classifies the information contained in the first user characteristic information 156 and the second user characteristic information 162 into set attributes, and the user value information generation unit 132 includes the first user characteristic information 156 and the second user characteristic. The user value information 164 is generated by deleting the information classified into a specific attribute by the classification unit 134 from the information 162.
For example, the user value information generation unit 132 deletes the information classified as a boastful story from the second user characteristic information 162 and generates the user value information 164. Further, the user value information generation unit 132 may generate the user value information 164 that does not include the information classified into the belief of the user U1.
According to this configuration, user value information 164 having high value for a person other than user U1 can be generated.

A conversion unit 133 that converts the information contained in the first user characteristic information 156 and the second user characteristic information 162 into text information, and a text evaluation unit 136 that evaluates the text information are provided, and the classification unit 134 provides the text information. It is divided into elements consisting of natural language morphemes or combinations of morphemes and classified, and the text evaluation unit 136 classifies the text based on each element classified by the classification unit 134 and at least one of the relationships of the plurality of elements. The evaluation of the information is determined, and the determined evaluation is given to the user value information 164.
According to this configuration, the user value information 164 can be given a quantitative and relative evaluation by giving an evaluation based on the text. Therefore, the information user U2 who uses the user value information 164 can easily determine the value of the user value information 164.

The classification unit 134 extracts information classified as a successful experience and information classified as a failure experience of the user U1 from the information contained in the first user characteristic information 156 and the second user characteristic information 162, and is a text evaluation unit. 136 is a user value information 164 including both information classified as a successful experience and information classified as a failed experience, and one of the information classified as a successful experience and the information classified as a failed experience is used. It gives a higher evaluation than the user value information 164 that is not included.
According to this configuration, a high evaluation can be given to the user value information 164 which is highly valuable to a person other than the user U1. For example, the user value information 164 including the information of the failure experience has a high value when provided to the information user U2 or the like, and further, by adding the information of the success experience, there is a high possibility that it will be a reference for success. Therefore, it is possible to give an appropriate evaluation to the user value information 164 based on the value for the information user U2 who receives the user value information 164.

The classification unit 134 extracts information classified into an abstract expression and information classified into a specific expression from the information contained in the first user characteristic information 156 and the second user characteristic information 162, and the text evaluation unit 136. Is the user value information 164 including both the information classified into the abstract expression and the information classified into the concrete expression, and the information classified into the abstract expression and the information classified into the specific expression. A higher evaluation is given as compared with the user value information 164 which does not include any of them.
According to this configuration, the user value information 164, which includes information on both successful and unsuccessful experiences and is rich in content, is highly evaluated. As a result, it is possible to give an appropriate evaluation to the user value information 164 based on the value for the information user U2 who receives the user value information 164.

A question presentation unit 135 for outputting question information to the user U1 is provided, and the text evaluation unit 136 presents the question information to the user U1 for acquiring information lacking in order to express the value of the user U1. ..
According to this configuration, information can be efficiently obtained from the user U1.

When the information input from the user U1 includes information that the user U1 does not permit to be published, the user value information generation unit 132 generates the user value information 164 that does not include the information that the user U1 does not permit to publish.
According to this configuration, the user value information 164 can be generated according to the intention of the user U1 in consideration of the privacy of the user U1 and the like.

The server 100 includes a first audio output unit 252, a second audio output unit 262 configured as a separate body from the first audio output unit 252, and a sound collection unit 253 for collecting audio, and input information. The processing unit 131 inputs the voice emitted by the user U1 in response to the voice output from the first voice output unit 252 and the second voice output unit 262 by the voice of the user U1 by collecting the voice by the sound collecting unit 253. The information is acquired, the first voice output unit 252 outputs the voice of the question to the user, and the second voice output unit 262 outputs the voice prompting the response to the voice of the question.
According to this configuration, the first voice output unit 252 and the second voice output unit 262 can be used to perform a hearing imitating a group conversation. As a result, the tension and alertness given to the user U1 can be reduced, the user U1 can be relaxed, and information can be obtained efficiently.

The server 100 has a request reception unit 142 that receives an input of a browsing request from the user terminal device 350 used by the information using user U2, and a confirmation that outputs confirmation information to the user in response to the input of the browsing request by the information using user U2. Between the user value information output unit 144 as the information output unit, the user value information output unit 144 as the response reception unit that receives the response input input by the user in response to the confirmation information, and the information user U2 and the user. The consideration processing unit 147 that performs the consideration transaction processing for moving the consideration is provided, the extraction condition acquisition unit 143 acquires the extraction condition based on the input of the browsing request, and the user value information output unit 144 is provided by the response reception unit. Based on the received response input, the user value information 164 extracted based on the extraction condition is output to the user terminal device 350, and the consideration processing unit 147 receives the consideration from the information use user U2 in response to the output of the user value information 164. May be configured to collect and pay the user.
According to this configuration, the information using user U2 can receive the provision of the user value information 164 by paying the consideration, and the platform including the provision of the user value information 164 and the distribution of the consideration in the user U1 and the information using user U2. Can be realized.

The server 100 has a conversion unit 133 that converts the information contained in the first user characteristic information 156 and the second user characteristic information 162 into text information, a text evaluation unit 136 that evaluates the text information, and a user value from the user terminal device 350. The integrated evaluation of the user value information 164 is determined based on the combination of the user evaluation acquisition unit 145 that acquires the evaluation for the information 164, the evaluation acquired by the user evaluation acquisition unit 145, and the evaluation by the text evaluation unit 136. The evaluation integration unit 146 and the consideration processing unit 147 determine the consideration of the user value information 164 based on the integrated evaluation of the user value information 164.
According to this configuration, it is possible to set the consideration for providing the user value information 164 by reflecting the multifaceted evaluation of the user value information 164.

[4. Other embodiments]
In the above embodiment, the input information processing unit 131 acquires the voice data collected by the sound collecting unit 253 in the hearing and records it as the hearing data 159. Information may be acquired based on the captured image data captured by the input information processing unit 131 and the camera 211 at the time of hearing. That is, the user U1 being heard may be imaged by the camera 211, and the gesture of the user U1 may be acquired as input information. In this configuration, the first terminal device 250 or the second terminal device 260 may mount a camera and image the user U1 during the hearing. In these cases, the hearing data 159 may be data including audio data and captured image data.

Further, the input information processing unit 131 may acquire the text data input by the user terminal device 230. For example, the hearing with the user U1 may be performed by exchanging messages using the user terminal device 230. In this case, the hearing data 159 may be the data of the message exchanged between the user terminal device 230 and the server 100.

The server 100 is not limited to the configuration in which the first terminal device 250 and the second terminal device 260 are used for hearing, and for example, audio may be output by three or more devices, or only by one device. Audio may be output.
Further, in a configuration in which the user terminal device 230 includes a speaker, the user terminal device 230 may be made to execute the function of the second terminal device 260. Further, in a configuration in which the user terminal device 230 includes a microphone and a speaker, the user terminal device 230 may be made to execute the function of the first terminal device 250.

The device for collecting the life log of the user U1 is not limited to the observation device 210 and the like, and for example, the camera, the sensor, the information collected by the GPS mounted on the vehicle driven by the user U1, and / or the residence of the user U1. The information collected by the installed camera or sensor may be acquired by the life log information acquisition unit 121.

Further, the user terminal device 230 may execute a part or all of the functions of the CPU 120 of the server 100. In this case, the server 100 or a device having a memory 150 instead of the server 100 and the user terminal device 230 can be connected via the communication network 400. The user terminal device 230 includes, for example, a life log information acquisition unit 121, an extraction unit 122, a recording unit 123, a hearing processing unit 130, a text evaluation unit 136, a related data collection unit 140, a registration unit 141, an evaluation integration unit 146, and a consideration. It may function as a processing unit 147. Further, the user terminal device 230 may execute the functions of the request reception unit 142, the extraction condition acquisition unit 143, the user value information output unit 144, the user evaluation acquisition unit 145, and the consideration processing unit 147, or another device. May be executed.
Further, a second server different from the server 100 may execute a part of the functions of the CPU 120, or the second server and the server 100 may cooperate to execute the functions shown in FIG. ..

Note that FIG. 3 is a schematic view showing the functional configuration of the server 100 divided by the main processing contents in order to facilitate the understanding of the present invention, and the configuration of the server 100 is configured by other divisions. You may. Further, the processing of each component may be executed by one hardware unit, or may be executed by a plurality of hardware units. Further, the processing of each component may be executed by one program or may be executed by a plurality of programs.

1 ... Information management system, 100 ... Server (information processing device), 120 ... CPU, 121 ... Life log information acquisition unit, 122 ... Extraction unit, 123 ... Recording unit, 130 ... Hearing processing unit, 131 ... Input information processing unit, 132 ... User value information generation unit, 133 ... Conversion unit, 134 ... Classification unit, 135 ... Question presentation unit, 136 ... Text evaluation unit, 140 ... Related data collection unit, 141 ... Registration unit, 142 ... Request reception unit, 143 ... Extraction condition acquisition unit 144 ... User value information output unit (confirmation information output unit, response reception unit) 145 ... User evaluation acquisition unit 146 ... Evaluation integration unit 147 ... Consideration processing unit, 150 ... Memory, 151 ... Control Program, 152 ... User DB, 153 ... Life log information storage unit, 154 ... Life log information, 155 ... First user characteristic information storage unit, 156 ... First user characteristic information, 157 ... Dictionary data, 158 ... Hearing data storage Department, 159 ... Hearing data, 160 ... Related data storage unit, 161 ... Second user characteristic information storage unit, 162 ... Second user characteristic information, 163 ... User value information DB, 164 ... User value information, 165 ... Price data, 210 ... Observation device, 220 ... Biological information detection device, 230 ... User terminal device, 250 ... First terminal device, 252 ... First audio output unit, 253 ... Sound collecting unit, 260 ... Second terminal device, 262 ... Second Audio output unit, 350 ... Terminal device used, 400 ... Communication network.

Claims (15)

A life log information acquisition unit that acquires life log information detected in the user's life,
An extraction unit that extracts first user characteristic information related to at least one of the user's experience and characteristics based on the life log information.
A recording unit that records the first user characteristic information in association with the user,
An input information processing unit that acquires second user characteristic information related to the user's experience or characteristics based on the information input from the user.
An information processing device including a user value information generation unit that generates user value information expressing user value that can be provided to a person other than the user based on the first user characteristic information and the second user characteristic information. .. A registration unit that registers the user value information generated by the user value information generation unit in the user value database, and a registration unit.
An extraction condition acquisition unit that accepts input of extraction conditions,
The information processing apparatus according to claim 1, further comprising a user value information output unit that extracts and outputs the user value information from the user value database based on the extraction conditions. The user value information generation unit extracts the user value information from the first user characteristic information and the second user characteristic information, thereby extracting information necessary for expressing the value of the user's experience or characteristic. The information processing device according to claim 1 or 2, which is generated. The user value information generation unit compares the first user characteristic information with the second user characteristic information, and compares the first user characteristic information with the second user characteristic information.
The information according to any one of claims 1 to 3, which determines the reliability of information about the user and generates the user value information based on the information determined to have reliability equal to or higher than a set level. Processing equipment. A classification unit for classifying the first user characteristic information and the information included in the second user characteristic information into set attributes is provided.
The user value information generation unit generates the user value information by deleting information classified into specific attributes by the classification unit from the first user characteristic information and the second user characteristic information. The information processing apparatus according to any one of claims 4. A conversion unit that converts the first user characteristic information and the information contained in the second user characteristic information into text information, and
With a text evaluation unit that evaluates the text information,
The classification unit divides and classifies the text information into elements consisting of morphemes or combinations of morphemes in natural language.
The text evaluation unit determines the evaluation of the text information based on at least one of the respective elements classified by the classification unit and the relationship between the plurality of the elements, and the determined evaluation is the user value. The information processing device according to claim 5, which is applied to information. The classification unit extracts information classified into the success experience and information classified into the failure experience of the user from the information included in the first user characteristic information and the second user characteristic information.
The text evaluation unit classifies the user value information including both the information classified into the success experience and the information classified into the failure experience into the information classified into the success experience and the failure experience. The information processing device according to claim 6, which gives a higher evaluation than the user value information that does not include any of the information. The classification unit extracts information classified into an abstract expression and information classified into a specific expression from the information included in the first user characteristic information and the second user characteristic information.
The text evaluation unit sets the information classified into the abstract expression and the specific information with respect to the user value information including both the information classified into the abstract expression and the information classified into the specific expression. The information processing device according to claim 6 or 7, which gives a higher evaluation than the user value information which does not include any of the information classified into the expression. It is equipped with a question presentation unit that outputs question information for the user.
The question presenting unit according to any one of claims 1 to 8, wherein the question presenting unit presents the question information to the user for acquiring information lacking in order to express the value of the user. Information processing equipment. When the information input by the user includes information that the user does not permit to publish, the user value information generation unit generates the user value information that does not include the information that the user does not permit to publish. The information processing apparatus according to any one of claims 1 to 9. It is provided with a first audio output unit, a second audio output unit configured as a separate body from the first audio output unit, and a sound collecting unit for collecting sound.
The input information processing unit collects the voice emitted by the user in response to the voice output from the first voice output unit and the second voice output unit, thereby collecting the voice of the user. Get the information entered by
The first voice output unit outputs a voice of a question to the user, and the second voice output unit outputs a voice prompting a response to the voice of the question according to any one of claims 1 to 10. The information processing device described. A request reception unit that accepts input of browsing requests from the terminal device used by the information user,
A confirmation information output unit that outputs confirmation information to the user in response to an input of a browsing request by the information user.
A response receiving unit that receives a response input input by the user in response to the confirmation information,
It is provided with a consideration processing unit that performs consideration transaction processing for moving consideration between the information-using user and the user.
The extraction condition acquisition unit acquires the extraction condition based on the input of the viewing request, and obtains the extraction condition.
The user value information output unit outputs the user value information extracted based on the extraction conditions to the user terminal device based on the response input received by the response reception unit.
The information processing device according to claim 2, wherein the consideration processing unit collects consideration from the information-using user and pays the consideration to the user in response to the output of the user value information. A conversion unit that converts the first user characteristic information and the information contained in the second user characteristic information into text information, and
A text evaluation unit that evaluates the text information,
A user evaluation acquisition unit that acquires an evaluation of the user value information from the user terminal device,
It is provided with an evaluation integration unit that determines an integrated evaluation of the user value information based on a combination of the evaluation acquired by the user evaluation acquisition unit and the evaluation by the text evaluation unit.
The information processing device according to claim 12, wherein the consideration processing unit determines the consideration for the user value information based on the integrated evaluation of the user value information. Acquires life log information detected in the user's life and
Based on the life log information, first user characteristic information related to at least one of the user's experience and characteristics is extracted.
The first user characteristic information is recorded in association with the user,
Based on the information input from the user, the second user characteristic information related to the user's experience or characteristics is acquired, and the second user characteristic information is acquired.
An information processing method for generating user value information expressing user value that can be provided to a person other than the user, based on the first user characteristic information and the second user characteristic information. Computer,
A life log information acquisition unit that acquires life log information detected in the user's life,
An extraction unit that extracts first user characteristic information related to at least one of the user's experience and characteristics based on the life log information.
A recording unit that records the first user characteristic information in association with the user,
An input information processing unit that acquires second user characteristic information related to the user's experience or characteristics based on the information input from the user.
A program that functions as a user value information generation unit that generates user value information expressing user value that can be provided to a person other than the user based on the first user characteristic information and the second user characteristic information. ..

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