JP6709709B2 - Information processing apparatus, information processing system, information processing method, and program - Google Patents

Description

The present invention relates to an information processing device, an information processing system, an information processing method, and a program that support conversation.

2. Description of the Related Art Conventionally, there is known a technique for supporting a smooth conversation with a conversation partner. In Patent Document 1, the conversation content with the selected contact and the important word in the conversation content are recorded, and when the person is called next time, a topic is searched from the Internet using the important word as a keyword, Techniques for displaying on a display unit are disclosed.

JP, 2009-224886, A

However, in the above technology, when the person with whom the user can interact can be identified, the user can obtain information for facilitating a conversation with the person, but cannot identify the name of the person with whom the user interacts, such as identifying the person When it is not possible, there has been a problem that the user cannot acquire information for facilitating conversation.

Therefore, the present invention has been made in view of these points, and it is an object of the present invention to provide a technique capable of facilitating a conversation with a dialogue partner even when it is impossible to recognize who the dialogue partner is. To aim.

In the first aspect of the present invention, a recording unit in which personal information of each of one or more persons is recorded, a keyword extracting unit that acquires conversation data from a communication terminal and extracts a keyword from the conversation data, An information processing apparatus including: a person extraction unit that retrieves personal information and extracts a person in which information including the keyword is recorded; and a person information output unit that outputs information about the extracted person to the communication terminal. Will be provided.

The information processing apparatus further includes, for example, an attribute specifying unit that specifies which attribute, among attributes of information included in the personal information, the conversation of the conversation data in which the keyword is extracted corresponds to the person. The extraction unit starts the search for the person from information that matches the attribute of the conversation in the personal information.

The information processing apparatus further includes, for example, a narrowing-down information specifying unit that specifies narrowing-down information necessary for narrowing down the person, and the person-information output unit outputs the narrowing-down information to the communication terminal.

The information processing apparatus further includes, for example, a variation degree calculation unit that calculates a variation degree of information between individuals for each attribute of the personal information, and the information identified by the narrowed-down information identification unit is an attribute of a large variation degree. Information.

The information processing device, for example, the narrowing-down information specifying unit calculates a specific word that is information that can uniquely specify a conversation partner of a conversation from the person extracted by the person extracting unit, and the person information output unit, The specific word is output to the communication terminal.

For example, when the keyword extracted by the keyword extraction unit from the conversation data includes the specific word, the information processing device includes a dialogue partner setting unit that sets a person who can be identified by the particular word as the dialogue partner. Further prepare.

The person information output unit outputs, for example, personal information of the conversation partner set by the conversation partner setting unit.

The keyword extraction unit further extracts a keyword from the position information of the communication terminal acquired from the communication terminal or the calendar information recorded in the communication terminal, for example.

The person extraction unit starts a search for the personal information first from information corresponding to a keyword extracted from the position information or the calendar information, for example.

The personal information includes, for example, conversation history information in which the date and time of conversation with the person registered in the personal information is recorded, and the personal information output unit relates to a person whose date and time of the conversation is old or infrequent. The information is output to the communication terminal first.

The person information output unit outputs, for example, video data to be displayed on the display unit of the communication terminal or audio data to be output to a speaker of the communication terminal.

The conversation data is voice data, and the information processing apparatus further includes, for example, a data conversion unit that converts the voice data into text data, and the keyword extraction unit extracts the keyword from the text data.

According to a second aspect of the present invention, there is provided an information processing system including a communication terminal and a server for transmitting and receiving data to and from each other, wherein the communication terminal includes an input unit for inputting conversation data and the conversation data. A first transmitting unit for transmitting to the server, a first receiving unit for receiving data from the server, and an output unit for outputting the data received from the server, wherein the server is one or more persons, respectively. A recording unit in which the personal information is recorded, a second receiving unit that receives the conversation data from the communication terminal, and a keyword extracting unit that acquires the conversation data from the communication terminal and extracts a keyword from the conversation data. , A person extraction unit that retrieves the personal information and extracts a person in which information including the keyword is recorded, a person information output unit that outputs information about the extracted person, and a person information output unit An information processing system, comprising: a second transmitter that transmits the information to the communication terminal.

In a third aspect of the present invention, a processor obtains conversation data from a communication terminal and extracts a keyword from the conversation data, and searches a recording unit in which personal information of one or more persons is recorded. Then, an information processing method for executing a step of extracting a person in which information including the keyword is recorded and a step of outputting the extracted information about the person to the communication terminal is provided.

In a fourth aspect of the present invention, a computer is provided with a function of acquiring conversation data from a communication terminal and extracting a keyword from the conversation data, and searching a recording unit in which personal information of one or more persons is recorded. Then, a program for realizing a function of extracting a person in which information including the keyword is recorded and a function of outputting the extracted information about the person to the communication terminal is provided.

According to the present invention, even if it is not possible to recognize who the conversation partner is, it is possible to smoothly carry out the conversation with the conversation partner.

It is a figure for explaining the outline of the information processing system concerning an embodiment. It is a figure for explaining the composition of an information processing system. 6 is a table showing information registered in personal information. It is a table in which personal information of a plurality of persons is written. It is a figure for explaining roughly operation of an information processing system. It is a figure for explaining roughly operation of an information processing system. It is a flowchart which shows the flow of the process which a server performs.

[Outline of information processing system]
FIG. 1 is a diagram for explaining the outline of the information processing system S according to the embodiment. The information processing system S includes, for example, a glass display type communication terminal 1 and a server 2. The communication terminal 1 and the server 2 send and receive data via a base station by wireless communication, for example.

The information processing system S is used, for example, at a party venue. At the party venue, we may re-encounter someone we have had contact with in the past. However, if the relationship between the person and the user is not so deep, the user may not be able to remember the name of the person.

The user wearing the communication terminal 1 acquires the conversation data with the person from the microphone 11 and transmits it to the server 2. The server 2 that has received the conversation data extracts the candidate of the person from the recording unit in which the personal information of one or more persons is recorded in the server 2, based on the keyword included in the conversation data, and the candidate is extracted. The personal information of is transmitted to the communication terminal 1.

The user causes the server 2 to extract a keyword for narrowing down the candidates by continuing the conversation with the conversation partner while watching the personal information of the candidates displayed on the display unit 12 of the communication terminal 1. The server 2 identifies a person having personal information including the extracted keyword and narrows down the candidates.

By repeating the above process, the user can specify who the conversation partner is even if the user cannot recognize the conversation partner. The user causes the server 2 to set the conversation partner by, for example, inputting the conversation data including the name of the conversation partner to the microphone 11. The server 2 transmits more detailed personal information of the set dialogue partner to the communication terminal 1 and causes the display unit 12 of the communication terminal 1 to display the personal information. The user can smooth the conversation with the conversation partner while referring to the detailed personal information displayed on the display unit 12. Details of the information processing system S according to the embodiment will be described below with reference to FIG.

<Structure of information processing system S>
FIG. 2 is a diagram for explaining the configuration of the information processing system S. As described above, the information processing system S includes the communication terminal 1 and the server 2.

The communication terminal 1 includes a microphone 11, a display unit 12, and a reception unit (not shown). The microphone 11 is input with conversation data between the user and the conversation partner. In this case, the conversation data is voice data. The communication terminal 1 transmits the voice data input to the microphone 11 to the server 2. The data received by the receiving unit from the server 2 is displayed on the display unit 12.

The server 2 includes a recording unit 21, a control unit 22, and a communication unit 23. The recording unit 21 includes, for example, a RAM (Random Access Memory), a ROM (Read Only Memory), and an HDD (Hard Disk Drive). In the RAM, for example, voice data received from the communication terminal 1, keywords extracted from the voice data, candidates for dialogue partners, etc. are recorded. A program executed by the control unit 22 is recorded in the ROM, for example. In the HDD, for example, personal information of each of one or more persons is recorded.

FIG. 3 is a table showing information registered as personal information. In the table, the first column describes the attribute of information, and the second column describes what information each attribute contains. The personal information includes, for example, personal name, affiliation, background, update information such as SNS (Social Networking Service), text information of chats in the past, common points with the user, places where the user has been contacted in the past, date and time, The opportunity, the date and time of the conversation with the user, the frequency, etc. are recorded. As will be described later, the control unit 22 searches the personal information and specifies the user's conversation partner. The personal information recorded in the recording unit 21 may be recorded by being directly input by the user of the information processing system S, and the server 2 acquires and records information such as the SNS of the registered person. You may do it.

The communication unit 23 transmits/receives data to/from the communication terminal 1. The communication unit 23 receives voice data from the communication terminal 1. In addition, the communication unit 23 transmits the personal information of the candidate of the conversation partner to the communication terminal 1.

By executing the program recorded in the recording unit 21, the control unit 22 executes the data conversion unit 201, the keyword extraction unit 202, the attribute identification unit 203, the person extraction unit 204, the narrowing information identification unit 205, and the person information output unit 206. , And functions as the variation degree calculation unit 207 and the dialogue partner setting unit 208.

The data conversion unit 201 converts voice data received from the communication terminal 1 via the communication unit 23 into text data by voice recognition processing. The data conversion unit 201 transmits the text data to the keyword extraction unit 202.

The keyword extraction unit 202 extracts a keyword from the text data received from the communication unit 23 or the data conversion unit 201. For example, the keyword extracting unit 202 extracts words from the conversation data by morphological analysis, refers to a table prepared in advance, and extracts a keyword suitable for selecting a candidate for a dialogue partner from the extracted words.

The keyword extracting unit 202 may further extract keywords from the position information of the communication terminal 1 acquired from the communication terminal 1 or the calendar information recorded in the communication terminal 1. The keyword extracting unit 202 sends the extracted keywords to the attribute specifying unit 203 and the person extracting unit 204. Further, the keyword extracting unit 202 records the extracted keyword in the recording unit 21.

The attribute identifying unit 203 identifies which of the attributes of the information included in the personal information the conversation of the conversation data in which the keyword is extracted corresponds to. For example, if the content of the conversation data is “Is it A conference that you met before?”, since the conversation data includes the words “previous” and “society”, the attribute specifying unit 203 It is specified that the conversation corresponds to the attributes of date and time and opportunity. The attribute identifying unit 203 transmits the attribute corresponding to the conversation to the person extracting unit 204.

The person extraction unit 204 searches the personal information and extracts the person in which the information including the keyword is recorded. The person extraction unit 204 may start the search from the information that matches the attribute of the conversation among the personal information to extract the person. In this way, the server 2 can save the calculation cost for identifying the conversation partner.

In addition, the person extraction unit 204 may first search for personal information based on a name indicating the position of the communication terminal 1 or a keyword acquired from calendar information. This increases the possibility that the extracted person is a partner of the user's conversation.

When the last name of the person is included in the keywords extracted by the keyword extracting section 202, the person extracting unit 204 first extracts the person having the last name as a candidate for the dialogue partner, and then in the personal information of the candidate. You may search whether other keywords are included. In this way, the server 2 can reduce the calculation cost.

When a plurality of candidates for conversation partners have already been output to the communication terminal 1, the person extracting unit 204 extracts a person including the keyword acquired from the keyword extracting unit 202 in the personal information from the candidates. By continuing the conversation, the user can acquire the keyword for identifying the conversation partner and narrow down the candidates for the conversation partner. The person extraction unit 204 transmits the extracted person to the narrow-down information identification unit 205 and the person information output unit 206.

The narrowing-down information specifying unit 205 specifies the narrowing-down information necessary for narrowing down the candidates for the conversation partner extracted by the person extracting unit 204. The narrow-down information specified by the narrow-down information specifying unit 205 will be described below with reference to FIG.

FIG. 4 is a table in which personal information of a plurality of persons is written. It is assumed that the person extraction unit 204 has extracted three candidates, Garo Aso, Toro Higashino and A by Kato, as candidates for the conversation partner. The narrowed-down information specifying unit 205 refers to the personal information of the three people and specifies the information necessary for specifying the conversation partner.

For example, the opportunities for the user to meet with the above three persons are joint research, OB meeting, and international conference, respectively. Therefore, if the opportunity to meet with the other party in the past can be known, it is possible to identify who the other party is. can do. That is, the "opportunity" is the narrowed down information. On the other hand, all of the above three persons belong to Research Institute A, and therefore “affiliation” does not serve as information for identifying the conversation partner.

The narrowing-down information specifying unit 205 may specify information having an attribute having a large degree of variation in personal information as the narrowing-down information. The variation degree calculation unit 207 calculates the degree of information variation between individuals for each attribute of personal information. The degree of dispersion of personal information will be described with reference to the table of FIG. 4 again. In FIG. 4, G. Aso, T. Higashino, and A. Kato all belong to the A laboratory, and are the same. Therefore, the information of the attribute "affiliation" does not vary.

On the other hand, referring to the information of the attribute “common point”, one is “artificial intelligence” and the other two are “two children”. Therefore, the information of the attribute “common point” varies, and if the user can hear that the conversation partner has an interest in artificial intelligence, the user can specify that the conversation partner is Aso Giro.

Further, referring to the information of the attribute "opportunity", it is "joint research", "OB meeting", and "international meeting", respectively. Therefore, the information of the attribute “opportunity” is more dispersed than the information of the attribute “common point”. Therefore, the user can identify the dialogue partner if he/she can hear the opportunity when he/she met in the past from the dialogue partner.

The variation degree calculated by the variation degree calculating unit 207 is, for example, a value obtained by dividing the type of information regarding the attribute by the number of persons who compare the personal information. For example, the degree of variation of “affiliation” is 1/3, the degree of variation of “common point” is 2/3, and the degree of variation of “opportunity” is 3/3 (that is, 1). That is, in the above example, when the degree of variation is V, 0≦V≦1, and the larger V is, the more varied. Next, the specific word specified by the narrowing-down information specifying unit 205 will be described with reference to FIG.

The narrowing-down information specifying unit 205 calculates a specific word that is information that can uniquely specify the conversation partner of the conversation from the persons extracted by the person extracting unit 204. For example, the attribute information having a variation degree of 1 is a specific word. Specifically, “joint research”, “OB meeting”, and “international conference” are specific words. That is, the specific word is a word that can uniquely identify the conversation partner if the conversation partner can hear the word. In the table of FIG. 4, the title of the attribute having the specific word and the variation degree of 1 is underlined. The narrowing-down information specifying unit 205 records the calculated specific word in the recording unit 21.

The person information output unit 206 outputs the extracted information about the person to the communication terminal 1. The person information output unit 206 outputs, to the communication terminal 1, for example, the candidates of the conversation partner received from the person extraction unit 204, the narrowing information necessary for narrowing down the candidates, and the specific word.

The person information output unit 206 may first output to the communication terminal 1 information about a person whose conversation date is old or whose frequency is low. In this way, the user can confirm the personal information first from a person whose memory is ambiguous. The person information output unit 206 outputs the above information as, for example, video data displayed on the display unit of the communication terminal 1 or audio data output to the speaker of the communication terminal 1.

When the keyword extracted by the keyword extracting unit 202 from the conversation data includes the specific word, the dialogue partner setting unit 208 sets a person who can be identified by the particular word as a dialogue partner of the user. The conversation partner setting unit 208 transmits the person set as the conversation partner of the user to the person information output unit 206. The person information output unit 206 outputs the personal information of the conversation partner set by the conversation partner setting unit 208. Hereinafter, an operation example of the information processing system S described above will be described with reference to FIGS. 5 and 6.

[Operation Example 1 of Information Processing System S]
FIG. 5 is a diagram for schematically explaining an operation example of the information processing system S. FIG. 5 shows a state in which the user is trying to identify the conversation partner by using the glass display communicating with the server 2. In the case of FIG. 5, since the conversation partner has a name tag written as Kato, the user can distinguish the last name of the conversation partner, but cannot know other information.

In Figure 5, a user who was asked by the conversation partner, "It's been a while, I've taken care of me at the academic conference the other day.", "Oh, Mr. Kato. It's been a while, I was also participating. In response to this, the above voice data is transmitted to the server 2.

In the server 2, the data conversion unit 201 converts the voice data into text data. The keyword extracting unit 202 extracts keywords such as “the other day”, “the academic society”, and “Kato” from the text data. The person extraction unit 204 refers to the personal information and extracts a person who includes the keyword in the personal information as a candidate for a dialogue partner. The person information output unit 206 displays the information of the person extracted by the person extraction unit 204 on the glass display of the user, and the glass display displays the personal information of the person having the last name of Kato.

In the example shown in FIG. 5, since a plurality of persons named Kato are registered in the personal information, information about a plurality of persons named Kato is displayed on the glass display. In the example shown in Fig. 5, subsequently, the user answered "Yes, the people at Research Institute A are participating." answer. In response to this conversation, the keyword extracting unit 202 extracts the keyword “A research institute”, and the person extracting unit 204 extracts a work by Kato A who belongs to the A research institute from a plurality of persons named Kato. ..

When the person extracting unit 204 extracts only one candidate, the dialogue partner setting unit 208 sets A work Kato as a dialogue partner. When the dialogue partner setting unit 208 sets A work Kato as a dialogue partner, the person information output unit 206 outputs personal information regarding A work Kato to the user's glass display. Next, another operation example of the information processing system S will be described.

[Operation Example 2 of Information Processing System S]
FIG. 6 is a diagram for schematically explaining an operation example of the information processing system S. In the example shown in FIG. 6, unlike the example shown in FIG. 5, the user starts a conversation without knowing the surname of the other party of the conversation.

In FIG. 6, in response to being asked by the conversation partner, "It's been a while, I'm grateful to you at the academic conference the other day." The person recorded in is extracted as a candidate for a dialogue partner.

Next, when the user asked, "Oh, thank you. I'm sure the meeting you met...", the conversation partner replied, "It's Society B. Japan night was exciting." The unit 204 extracts A work by Kato who participated in the B society and Japan night from the candidates extracted previously.

When the person extracting unit 204 extracts only one candidate, the dialogue partner setting unit 208 sets A work Kato as a dialogue partner. When the dialogue partner setting unit 208 sets A work Kato as a dialogue partner, the person information output unit 206 outputs personal information regarding A work Kato to the user's glass display. Subsequently, a flow of processing executed by the server 2 will be described with reference to FIG. 7.

[Flow of processing executed by server 2]
FIG. 7 is a flowchart showing a flow of processing executed by the server 2. The flowchart starts from the process in which the server 2 acquires the conversation data between the user and the conversation partner (S71). Then, a keyword is extracted from the conversation data acquired by the keyword extracting unit 202 (S72).

Then, the attribute specifying unit 203 specifies the correspondence between the conversation and the attribute of the personal information from the keyword (S73). Subsequently, the person extraction unit 204 refers to the personal information, confirms whether the keyword is included in the personal information first from the information of the attribute identified by the attribute identification unit 203, and extracts the candidate for the conversation partner. Yes (S74).

Then, the narrowing-down information specifying unit 205 specifies narrowing-down information for narrowing down the extracted candidates (S75). Then, the person information output unit 206 outputs the information about the person extracted as the candidate and the narrowing-down information for narrowing down the candidate (S76).

When there is one candidate for the dialogue partner and the dialogue partner is specified (YES in S77), dialogue partner setting unit 208 sets the user's dialogue partner (S78). If the conversation partner has not been specified (NO in S77), the server 2 repeats the processing from S71.

[Effects of Information Processing System S of Embodiment]
As described above, the information processing system S of the embodiment includes the communication terminal 1 and the server 2, and the server 2 records the personal information of each one or a plurality of persons and acquires the conversation data from the communication terminal 1. Then, the keyword is extracted from the conversation data. Then, the server 2 searches the personal information, extracts the person in which the information including the keyword is recorded, and outputs the information regarding the extracted person to the communication terminal 1. By doing so, even if the user of the information processing system S cannot recognize who the conversation partner is, the user can identify the conversation partner and facilitate the conversation.

In addition, the server 2 identifies which attribute of the attributes of the information included in the personal information corresponds to the conversation of the conversation data in which the keyword is extracted, and based on the information that matches the conversation attribute of the personal information. You may start searching for people. By doing this, the server 2 can quickly extract candidates for the user's conversation partner, and can save the calculation cost.

The server 2 may specify the narrowing information necessary for narrowing down the person and output the narrowing information to the communication terminal 1. In this way, the user can know what kind of conversation he/she can have to identify the conversation partner, and can obtain the information identifying the conversation partner without continuing the conversation for a long time.

The server 2 may calculate the degree of variation of information between individuals for each attribute of personal information, and may specify the information of the attribute having a large degree of variation as the narrowed-down information. In this way, the user of the information processing system S can grasp the information that makes it easy to identify the conversation partner, and can identify the conversation partner at an early stage of the conversation.

The server 2 may calculate a specific word that is information that can uniquely identify the conversation partner of the conversation from the person extracted by referring to the personal information, and output the specific word to the communication terminal 1. By doing so, the user can know what kind of keyword can be identified from the dialogue partner to identify the dialogue partner, and can identify the dialogue partner at an early stage of the conversation.

When the keyword extracted from the conversation data includes a specific word, the server 2 may set a person who can be identified by the specific word as a conversation partner. By doing this, it is possible to prevent the candidates of the dialogue partner from continuing to fluctuate while the keywords are continuously extracted.

The server 2 may output the personal information of the set dialogue partner. By doing so, the server 2 does not output the personal information of the plurality of candidates to the communication terminal 1, so that the server 2 can output more detailed information of the person set as the conversation partner to the communication terminal 1. Further, the user can have a conversation while not only knowing the conversation partner, but also confirming personal information regarding the conversation partner.

The server 2 may further extract the keyword from the position information of the communication terminal 1 acquired from the communication terminal 1 or the calendar information recorded in the communication terminal 1. By doing so, the location where the user is currently located and the event in which the user is participating can be included in the keyword, and the accuracy of the person extracted as the candidate for the conversation partner is increased.

Further, the server 2 may start the search for the personal information first from the information corresponding to the keyword extracted from the position information or the calendar information. By doing so, a person who is more likely to be a candidate for a dialogue partner can be extracted at an early stage of the conversation.

The personal information has conversation history information in which the date and time of conversation with the person registered in the personal information is recorded, and the server 2 first informs the communication terminal 1 of information regarding a person whose date and time of conversation is old or infrequent. You may output. This makes it easier for the user to refer to the information about the person whose memory is uncertain, and increases the possibility of remembering the conversation partner.

The server 2 may output video data to be displayed on the display unit of the communication terminal 1 or audio data to be output to the speaker of the communication terminal 1. In this way, the user can refer to the information regarding the conversation partner by using various communication terminals 1, and the convenience of the information processing system S is enhanced.

The conversation data acquired by the server 2 is voice data, and the server 2 may convert the voice data into text data and extract a keyword from the text data. By doing so, for example, even when the user and the conversation partner have a face-to-face conversation, the information processing system S can notify the user of the candidate for the conversation partner.

Although the present invention has been described above using the embodiments, the technical scope of the present invention is not limited to the scope described in the above embodiments. It is obvious to those skilled in the art that various changes or improvements can be added to the above-described embodiment. In particular, the specific embodiment of the dispersion/integration of the devices is not limited to the one shown in the above, and all or some of them may be added in arbitrary units according to various additions or functional loads. It can be functionally or physically distributed and integrated.

<Modification 1>
In the above description, the voice data of the conversation between the user and the conversation partner is input to the microphone 11 of the communication terminal 1, and the server 2 converts the voice data into text data. Communication between the user and the conversation partner is not limited to communication by voice. The communication between the user and the conversation partner may be a chat in a text format performed on the information processing terminal. In that case, the server 2 can omit the process of converting the voice data into the text data.

<Modification 2>
The communication terminal 1 may be equipped with a camera, for example, to read the face of the conversation partner or the name tag worn by the conversation partner and transmit the name tag to the server 2. The server 2 may further include an image processing unit, recognize an image received from the communication terminal 1, and extract a keyword or a name of a person from the image.

<Modification 3>
In the above description, the person extraction unit 204 narrows down the candidates for the dialogue partner each time the keyword is acquired. The person extraction unit 204 may replace the candidate for the dialogue partner each time the keyword is acquired. By doing so, even when the person extracted by the person extracting unit 204 does not include the conversation partner, the user can remember the conversation partner by referring to the information about the conversation partner while continuing the conversation. it can.

<Modification 4>
In the above description, the keyword extraction unit 202 extracts keywords from both the words spoken by the user and the words spoken by the conversation partner. Instead, the keyword extracting unit 202 may extract the keyword only from the user's words registered in advance by performing voiceprint authentication. By doing so, the user can narrow down the candidates with high accuracy by intentionally speaking a specific keyword when narrowing down the candidates.

S... Information processing system 1... Communication terminal 11... Microphone 12... Display unit 2... Server 21... Recording unit 22... Control unit 23... Communication unit 201... Data conversion unit 202... Keyword extraction unit 203... Attribute identification unit 204... Person extraction unit 205... Narrowing information identification unit 206... Person information output unit 207... Variation degree calculation unit 208 ...Dialogue setting section

Claims (13)

A recording unit in which personal information of each of a plurality of persons is recorded,
A keyword extraction unit that acquires conversation data from a communication terminal and extracts a keyword from the conversation data;
A person extraction unit that searches the personal information and extracts a plurality of extracted persons in which the information including the keyword is recorded;
From the plurality of extracted persons, as the narrowing-down information necessary for narrowing down the conversation partner who has a conversation corresponding to the conversation data, an attribute not common to the plurality of extracted persons is shown to uniquely identify the conversation partner. A narrowing-down information specifying unit that specifies a specific word that is identifiable information,
As information about the conversation partner, a person information output unit that outputs the specific word to the communication terminal,
An information processing apparatus including. The conversation of the conversation data in which the keyword is extracted further includes an attribute specifying unit that specifies which attribute of the attributes of the information included in the personal information corresponds to,
The person extraction unit starts a search for the person from information that matches the attribute of the conversation among the personal information.
The information processing apparatus according to claim 1. Further comprising a variation degree calculation unit for calculating the degree of variation of information between individuals for each attribute of the personal information,
The information specified by the narrowing-down information specifying unit is information on an attribute having a large degree of variation,
The information processing apparatus according to claim 1 . When the keyword extracted by the keyword extraction unit from the conversation data includes the specific word, the keyword extraction unit further includes a dialogue partner setting unit that sets a person who can be identified by the particular word as the dialogue partner.
The information processing device according to any one of claims 1 to 3 . The person information output unit outputs the personal information of the dialogue partner set by the dialogue partner setting unit,
The information processing device according to claim 4 . The keyword extraction unit further extracts a keyword from position information of the communication terminal acquired from the communication terminal or calendar information recorded in the communication terminal,
The information processing apparatus according to any one of claims 1 to 5 . The person extraction unit starts a search for the personal information first from information corresponding to a keyword extracted from the position information or the calendar information,
The information processing device according to claim 6 . The personal information has conversation history information in which the date and time of conversation with the person registered in the personal information is recorded,
The person information output unit outputs information about the person whose date and time of the conversation is old or infrequently to the communication terminal first,
The information processing apparatus according to any one of claims 1 to 7 . The personal information output unit outputs video data to be displayed on the display unit of the communication terminal or audio data to be output to a speaker of the communication terminal,
The information processing apparatus according to any one of claims 1 to 8 . The conversation data is voice data,
Further comprising a data conversion unit for converting the voice data into text data,
The keyword extraction unit extracts the keyword from the text data,
The information processing device according to any one of claims 1 to 9 . An information processing system including a communication terminal and a server for transmitting and receiving data to and from each other,
The communication terminal,
An input section where conversation data is input,
A first transmitter for transmitting the conversation data to the server;
A first receiving unit for receiving data from the server,
An output unit for outputting the data received from the server,
Equipped with
The server is
A recording unit in which personal information of each of one or more persons is recorded,
A second receiver for receiving the conversation data from the communication terminal;
A keyword extracting unit that acquires the conversation data from the communication terminal and extracts a keyword from the conversation data;
A person extraction unit that searches the personal information and extracts a plurality of extracted persons in which the information including the keyword is recorded;
From the plurality of extracted persons, as the narrowing-down information necessary for narrowing down the conversation partner who has a conversation corresponding to the conversation data, an attribute not common to the plurality of extracted persons is shown to uniquely identify the conversation partner. A narrowing-down information specifying unit that specifies a specific word that is identifiable information,
As information about the conversation partner, a person information output unit that outputs the specific word to the communication terminal,
A second transmitter for transmitting the specific word output by the person information output unit to the communication terminal;
With
Information processing system. The processor
Acquiring conversation data from a communication terminal and extracting a keyword from the conversation data,
Searching a recording unit in which personal information of each of a plurality of persons is recorded, and extracting a plurality of extracted persons in which information including the keyword is recorded;
From the plurality of extracted persons, as the narrowing-down information necessary for narrowing down the conversation partner who has a conversation corresponding to the conversation data, an attribute not common to the plurality of extracted persons is shown to uniquely identify the conversation partner. Identifying a specific word that is identifiable information,
Outputting the specific word to the communication terminal as information about the conversation partner ,
Information processing method for executing. On the computer,
A function of acquiring conversation data from a communication terminal and extracting a keyword from the conversation data,
A function of searching a recording unit in which personal information of each of a plurality of persons is recorded, and extracting a plurality of extracted persons in which information including the keyword is recorded,
From the plurality of extracted persons, as the narrowing-down information necessary for narrowing down the conversation partner who has a conversation corresponding to the conversation data, an attribute not common to the plurality of extracted persons is shown to uniquely identify the conversation partner. A function to specify a specific word that is identifiable information,
A function of outputting the specific word to the communication terminal as information about the conversation partner ,
A program that realizes.

Images