WO2024004320A1 - Education device, education method, and recording medium - Google Patents

Education device, education method, and recording medium Download PDF

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WO2024004320A1
WO2024004320A1 PCT/JP2023/014570 JP2023014570W WO2024004320A1 WO 2024004320 A1 WO2024004320 A1 WO 2024004320A1 JP 2023014570 W JP2023014570 W JP 2023014570W WO 2024004320 A1 WO2024004320 A1 WO 2024004320A1
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data
expression
keyword
unit
user
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French (fr)
Japanese (ja)
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ひろ美 古川
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有限会社Bond
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types

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  • the present invention relates to an educational device, an educational method, and a recording medium, and particularly relates to an educational device, etc. that distributes search results of a database section to users.
  • Patent Documents 1 and 2 The applicant is researching and developing a system for producing programs using information input by the creator, as described in Patent Documents 1 and 2, for example.
  • FIG. 3 is a block diagram illustrating an example of the configuration of a system that stores the knowledge of conventional experts as a database.
  • a user can input index data in the database, search the database, and obtain search results.
  • the user needs to know which index words are suitable for searching the database. Since the system requires a certain level of knowledge from the user, it is difficult for beginners in particular to receive appropriate answers, and the explanations are ⁇ understandable to those who know'', making it difficult to use.
  • FIG. 4 is a block diagram showing an example of the configuration of a conventional program production system provided by the applicant.
  • material data various types of data such as text, audio, and images
  • the system analyzes the material data and generates analysis data that indicates the content to be expressed.
  • the expression adjustment unit generates expression adjustment data for adjusting expression.
  • the distribution control unit adjusts the expression using the expression adjustment data and outputs the analysis data in the output unit.
  • it is suitable for expressions that match the material data input by the user, for example, if the user inputs material data related to the feeling of confusion, it is possible that the program will directly convey the feeling of confusion. There was sex. Therefore, revisions are required when conveying the knowledge of experts to users.
  • a first aspect of the present invention is an educational device that distributes search results of a database section to a user, which includes a keyword processing section, a thesaurus processing section, an expression adjustment section, a distribution control section, and a database section.
  • the keyword processing section analyzes the situation data input by the user to generate keywords
  • the database section generates situation search result data through a search process using search keyword data included in the keywords.
  • the thesaurus processing unit replaces at least a part of the expression keyword data included in the keyword with another word
  • the expression adjustment unit uses the processed expression keyword data replaced by the thesaurus processing unit.
  • the distribution control section adjusts the expression using the expression adjustment data in the output section and distributes the situation search result data.
  • a second aspect of the present invention is the educational device according to the first aspect, in which the user inputs index data separately from the situation data, and the database section uses the index data to The distribution control unit adjusts the expression using the expression adjustment data in the output unit and distributes the situation search result data and the index search result data.
  • a third aspect of the present invention is the educational device according to the first or second aspect, in which the thesaurus processing unit replaces keywords in which different words are used corresponding to different emotions with the same keyword.
  • a fourth aspect of the present invention is the educational device according to any one of the first to third aspects, including an analysis unit that identifies the user who inputs the situation data, and the distribution control unit that The situation search result data is distributed with the expression adjusted depending on the person.
  • a fifth aspect of the present invention is an educational method in an educational device that delivers search results of a database section to a user, the educational device comprising a keyword processing section, a thesaurus processing section, and an expression adjustment section. , comprising a distribution control unit and a database unit, the keyword processing unit generating keywords by analyzing situational data input by the user, and the database unit generating search keyword data included in the keywords. obtains situation search result data through a search process using a step of generating expression adjustment data using the processed expression keyword data, and a step of the distribution control unit adjusting the expression using the expression adjustment data in an output unit and distributing the situation search result data. including.
  • a sixth aspect of the present invention is the educational method according to the fifth aspect, in which the user inputs index data separately from the situation data, and the database section uses the index data to The distribution control unit adjusts the expression using the expression adjustment data in the output unit and distributes the situation search result data and the index search result data.
  • a seventh aspect of the present invention is the educational method according to the fifth or sixth aspect, in which the thesaurus processing unit replaces keywords in which different words are used corresponding to different emotions with the same keyword.
  • An eighth aspect of the present invention is the educational method according to any one of the fifth to seventh aspects, comprising an analysis unit that identifies the user who inputs the situation data, and the distribution control unit The situation search result data is distributed with the expression adjusted depending on the person.
  • a ninth aspect of the present invention is a program for causing a computer to function as the educational device according to any one of the first to fourth aspects.
  • a tenth aspect of the present invention is a computer-readable recording medium that records the program of the ninth aspect.
  • analysis data obtained by searching a database by inputting situational data by a user is distributed after subjecting the inputted situational data to thesaurus processing and adjusting the expression. , it is possible to provide expressions suitable for conveying the knowledge of experts to users.
  • FIG. 1 is a block diagram showing an example of the configuration of an educational system according to an embodiment of the present invention.
  • FIG. 2 is a flow diagram showing an example of the operation of the education system of FIG. 1.
  • FIG. FIG. 1 is a block diagram showing an example of the configuration of a system in which knowledge of conventional experts is compiled into a database.
  • FIG. 1 is a block diagram showing an example of the configuration of a conventional program production system.
  • FIG. 1 is a block diagram showing an example of the configuration of an educational system according to an embodiment of the present invention.
  • FIG. 2 is a flow diagram showing an example of the operation of the educational system of FIG. 1.
  • the educational system includes an input processing section 3, an output section 19, and an educational device 1.
  • the input processing unit 3 performs input processing by the user.
  • the output unit 19 is for outputting to the user.
  • the input processing section 3 and the output section 19 may be implemented in the same device, such as a touch panel with a camera, and the input processing section 3 may be implemented using a keyboard, mouse, camera, etc., and the output section 19 may be implemented separately using a speaker, display, etc. It may be realized as a device.
  • the educational device 1 can be realized, for example, by a computer that operates under the control of a program.
  • the educational device 1 distributes the search results of the database unit 5 to the user.
  • the educational device 1 includes an analysis section 9, a keyword processing section 11, a thesaurus processing section 13, an expression adjustment section 15, a distribution control section 17, a database section 5, and an answer processing section 7.
  • the database unit 5 can be realized, for example, by a processor that operates under the control of a program.
  • the database unit 5 is a system in which the knowledge (know-how, etc.) possessed by experts is formalized into a database, and can be searched using index data or the like.
  • the database unit 5 When a user inputs index data using the input processing unit 3, the database unit 5 performs a search process using the index data and generates one or more index search result data.
  • the database unit 5 may, for example, perform search processing on a database in an external server.
  • the user inputs situation data using the input processing unit 3.
  • the situation data includes at least one of text data, audio data, and image data (still images, moving images, etc.). For example, when a user does not know how to use a tool, the user takes a picture of the tool with a camera and inputs image data. It is also possible to input specific situations in which the tool will be used as text data, voice data, or image data.
  • index data is, so to speak, words suitable for searching the database unit 5.
  • situation data indicates the user's current situation. Therefore, index data and status data are different things. Note that the processing related to index data may be omitted. In the case where the index data is omitted, the following process can be implemented in the same way as long as it is assumed that there is no index search result data.
  • the analysis unit 9 can be realized by, for example, a processor that operates under the control of a program.
  • the analysis section 9 is for analyzing various data. For example, situation data can be analyzed to extract keywords. For example, character strings are extracted from audio data and used as character data. To identify objects photographed in image data and make it possible to extract keywords. Additionally, the user is identified by identifying the person photographed in the situation data.
  • the keyword processing unit 11 can be realized, for example, by a processor that operates under the control of a program.
  • the keyword processing unit 11 performs a process of extracting keywords after the analysis unit 9 reaches a state where the keywords can be extracted from the situation data.
  • the keyword includes expression keyword data and search keyword data.
  • the expression keyword data and the search keyword data may be the same or different, or may be partially the same and partially different.
  • the database unit 5 performs a search process using the search keyword data and generates a plurality of situation search result data.
  • the answer processing unit 7 can be realized, for example, by a processor that operates under the control of a program.
  • the answer processing unit 7 analyzes the index search result data and a plurality of situation search result data, and assigns characteristic data to each data. For example, in order to reveal and organize tacit knowledge, multiple judgment units (such as multiple different artificial intelligence (AI) processes) make event judgments with each judgment unit unique, and index search result data is and analyze the characteristics of each of the multiple situation search result data. For example, when a problem occurs, when searching for knowledge about its causes and potential solutions, what is generally questionable? Each cause and solution has its own characteristics, such as some being small and minor. Feature data is given to knowledge obtained through a search to indicate its features.
  • AI artificial intelligence
  • the feature data is, for example, data indicating the priority order to be conveyed to the user determined by comparing the judgments of the AI.
  • the answer processing unit 7 may determine the priority order using, for example, majority vote.
  • the answer data generated by the answer processing unit 7 is a combination of each of the index search result data and a plurality of situation search result data, and feature data.
  • the analysis unit 9 can be realized by, for example, a processor that operates under the control of a program.
  • the analysis unit 9 generates analysis data using information obtained by analyzing the situation data and response data. This can be realized, for example, by creating new material data in the example of FIG. 4 by adding response data to situation data.
  • the analysis data is, for example, character data, image data, reading voice data, etc. used in the distribution process.
  • the analysis data is, for example, audio data for reading out the content of a question or the like revealed by the situation data. Further, the data is data for expressing an answer to a question, such as audio data and image data obtained by the answer processing unit 7 to read out an answer indicating how to use the tool.
  • the characteristic data is analyzed to preferentially select answers that match the user's situation obtained from the situation data. For example, if the user is a beginner, give priority to general solutions to problems. On the other hand, for example, if a user is confused about a problem and asks a question even though he/she is supposed to be familiar with the situation, this is a problem that is less likely to occur but can lead to more serious errors than problems that are more likely to occur in general. Prioritize.
  • the analysis unit 9 may identify the user based on situation data, login information, etc.
  • the analysis unit 9 includes a user information specifying unit (not shown) that stores history, search history, etc. for each user.
  • the analysis section 9 sends the user information held by the user information identification section to the database section 5 and/or the answer processing section 7, and the answer processing section 7 generates one or more answers according to the user. May also generate data. Alternatively, a plurality of answer data may be presented to the user for selection.
  • the analysis section 9 may generate analysis data according to the user using user information held by the user information identification section. Further, the analysis section 9 may send the user information held by the user information specifying section to the expression adjustment section 15, and the expression adjustment section 15 may generate expression adjustment data according to the user.
  • the educational device 1 In conventional systems, the user's knowledge is placed low and the knowledge of experts accumulated in the database section 5 is placed high, so that information is distributed in one direction, in which the advanced knowledge of experts is transmitted to unskilled users. They tended to limit themselves to communication.
  • the educational device 1 generates answer data that includes the knowledge of experts according to the user, expresses the answer data as analysis data as a character string depending on the user, or expresses it according to the user.
  • the adjustment data can be used to adjust expressions to suit the user, allowing for more detailed expressions tailored to the user.
  • the educational device 1 does not stop at simply transmitting knowledge to the user, but also changes and grows as the user grows, empathizes with the user, accurately gives the user an opportunity to think for himself, and promotes the user's growth. be able to.
  • the thesaurus processing unit 13 can be realized, for example, by a processor that operates under the control of a program.
  • the thesaurus processing unit 13 uses a thesaurus mainly based on calmness to evaluate the expression keyword data according to the word. This is because when answering, it is necessary to use expressions that calm the user and calm them down, rather than expressions that empathize with the user's emotions.
  • the thesaurus processing unit 13 replaces keywords in which expressions with the same meaning but different words are used to correspond to different emotions with the same keyword. As a result, it is possible to communicate with the user in a calm manner that allows the user to respond to various situations even if the user is in various situations.
  • the expression adjustment unit 15 can be realized, for example, by a processor that operates under the control of a program.
  • the expression adjustment unit 15 analyzes the processed expression keyword data processed by the thesaurus processing unit 13 and generates expression adjustment data for adjusting the expression to be conveyed to the user. For example, in the situation data, if a question is asked about how to use a tool with an expression that includes an angry emotion, the thesaurus processing unit 13 removes the angry emotion from the expression of the question and asks how to use the tool with a calm mind. After processing, express keyword data is generated as described above.
  • the expression adjustment unit 15 generates expression adjustment data that guides the user to a calm state (calmness) by adjusting the expression to calmly convey how to use the tool using the processed expression keyword data.
  • the distribution control unit 17 can be realized by, for example, a processor that operates under the control of a program.
  • the distribution control unit 17 outputs the analysis data at the output unit 19.
  • the output includes at least a portion of text, audio, and images. Voice etc. may be expressed by characters.
  • the distribution control unit 17 uses the expression adjustment data to adjust the expression when outputting the analysis data.
  • FIG. 1 An example of the operation of the educational system in FIG. 1 will be described with reference to FIG. 2.
  • the data input by the input processing section 3 is given to the analysis section 9 and the database section 5.
  • the analysis unit 9 determines whether only index data is given from the input processing unit 3 (step ST1).
  • step ST6 the answer processing section 7 processes the search results to generate answer data (step ST7), the analysis section 9 analyzes the answer data and generates analysis data (step ST8), and the distribution control section 17 outputs analysis data at the output unit 19 (step ST9).
  • step ST1 If the situation data is given from the input processing unit 3 (if YES in step ST1), processing related to the situation data is performed.
  • the analysis unit 9 analyzes the situation data and makes it possible to extract keywords (step ST2).
  • the keyword processing unit 11 performs a process of extracting keyword data indicating a keyword (step ST3).
  • the thesaurus processing unit 13 performs a keyword replacement process using a thesaurus on the expressed keyword data included in the keyword data to generate processed expressed keyword data (step ST4).
  • the expression adjustment unit 15 analyzes the processed expression keyword data processed by the thesaurus processing unit 13 and generates expression adjustment data for adjusting the expression to be conveyed to the user (step ST5).
  • step ST6 if only the situation data is given from the input processing section 3 and no index data is given, the database section 5 performs a search process using the search keyword data included in the keyword data.
  • the database section 5 performs a search process using the index data and search keyword data.
  • the answer processing unit 7 processes the search results to generate answer data (step ST7)
  • the analysis unit 9 analyzes the answer data and generates analysis data (step ST8)
  • the distribution control unit 17 outputs the data in the output unit 19.
  • the analysis data is output (step ST9).

Abstract

The present invention proposes, to a user, an education device or the like that is appropriate for communicating database search results. An education device 1 delivers database unit 5 search results to a user. In the education device 1, a keyword processing unit 11 analyzes status data input by the user and generates a keyword. The database unit 5 obtains status search results data by performing search processing which uses search keyword data included in the keyword. A thesaurus processing unit 13 replaces at least a portion of expression keyword data included in the keyword with another word. An expression adjustment unit 15 generates expression adjusted data by using post-processing expression keyword data resulting from the replacement by the thesaurus processing unit 13. A delivery control unit 17 causes an output unit 19 to deliver the status search results data using the expression adjusted data.

Description

教育装置、教育方法及び記録媒体Educational equipment, teaching methods and recording media
 本願発明は、教育装置、教育方法及び記録媒体に関し、特に、利用者に対してデータベース部の検索結果を配信する教育装置等に関する。 The present invention relates to an educational device, an educational method, and a recording medium, and particularly relates to an educational device, etc. that distributes search results of a database section to users.
 出願人は、例えば特許文献1及び2などにあるように、作成者が入力した情報を利用して番組を制作するシステムを研究・開発している。 The applicant is researching and developing a system for producing programs using information input by the creator, as described in Patent Documents 1 and 2, for example.
特許第4725936号公報Patent No. 4725936 特許第4725918号公報Patent No. 4725918
 図3は、従来の有識者の知識をデータベース化したシステムの構成の一例を示すブロック図である。利用者は、データベースにおける索引データを入力して、データベースを検索して検索結果を得ることができる。しかしながら、利用者は、データベースを検索することに適した索引の単語を知る必要がある。利用者に一定の知識を要求するため、特に初心者では適切な回答を得ることができず、また、その説明も「わかる人にはわかる」というものとなり、使い勝手の悪いものとなっていた。 FIG. 3 is a block diagram illustrating an example of the configuration of a system that stores the knowledge of conventional experts as a database. A user can input index data in the database, search the database, and obtain search results. However, the user needs to know which index words are suitable for searching the database. Since the system requires a certain level of knowledge from the user, it is difficult for beginners in particular to receive appropriate answers, and the explanations are ``understandable to those who know'', making it difficult to use.
 図4は、出願人が提供する従来の番組制作システムの構成の一例を示すブロック図である。利用者が番組を制作するための素材となる素材データ(文字・音声・画像などの各種データ)を入力すると、素材データを解析して表現すべき内容を示す解析データを生成する。表現調整部は、表現を調整するための表現調整データを生成する。配信制御部は、出力部において、表現調整データによって表現を調整して解析データを出力する。しかしながら、利用者が入力した素材データに合わせて表現することに適しているため、例えば、利用者が困惑の感情に関する素材データを入力してしまうと、困惑の感情をダイレクトに伝える番組になる可能性があった。そのため、利用者に対して有識者の知識などを伝える場合には修正が必要になる。 FIG. 4 is a block diagram showing an example of the configuration of a conventional program production system provided by the applicant. When a user inputs material data (various types of data such as text, audio, and images) that will be used to create a program, the system analyzes the material data and generates analysis data that indicates the content to be expressed. The expression adjustment unit generates expression adjustment data for adjusting expression. The distribution control unit adjusts the expression using the expression adjustment data and outputs the analysis data in the output unit. However, since it is suitable for expressions that match the material data input by the user, for example, if the user inputs material data related to the feeling of confusion, it is possible that the program will directly convey the feeling of confusion. There was sex. Therefore, revisions are required when conveying the knowledge of experts to users.
 そこで、本願発明は、利用者に対して、データベースの検索結果を伝えることに適した教育装置等を提案することを目的とする。 Therefore, it is an object of the present invention to propose an educational device suitable for conveying database search results to users.
 本願発明の第1の側面は、利用者に対してデータベース部の検索結果を配信する教育装置であって、キーワード処理部と、シソーラス処理部と、表現調整部と、配信制御部と、データベース部を備え、前記キーワード処理部は、前記利用者により入力された状況データを解析してキーワードを生成し、前記データベース部は、前記キーワードに含まれる検索キーワードデータを用いた検索処理により状況検索結果データを得、前記シソーラス処理部は、前記キーワードに含まれる表現キーワードデータの少なくとも一部を他の単語に置き換え、前記表現調整部は、前記シソーラス処理部が置き換えた後の処理後表現キーワードデータを用いて表現調整データを生成し、前記配信制御部は、出力部において前記表現調整データを用いて表現を調整して前記状況検索結果データを配信する。 A first aspect of the present invention is an educational device that distributes search results of a database section to a user, which includes a keyword processing section, a thesaurus processing section, an expression adjustment section, a distribution control section, and a database section. The keyword processing section analyzes the situation data input by the user to generate keywords, and the database section generates situation search result data through a search process using search keyword data included in the keywords. the thesaurus processing unit replaces at least a part of the expression keyword data included in the keyword with another word, and the expression adjustment unit uses the processed expression keyword data replaced by the thesaurus processing unit. The distribution control section adjusts the expression using the expression adjustment data in the output section and distributes the situation search result data.
 本願発明の第2の側面は、第1の側面の教育装置であって、前記利用者は、前記状況データとは別に索引データを入力し、前記データベース部は、前記索引データを用いて前記データベース部を検索して索引検索結果データを得、前記配信制御部は、出力部において前記表現調整データを用いて表現を調整して前記状況検索結果データ及び前記索引検索結果データを配信する。 A second aspect of the present invention is the educational device according to the first aspect, in which the user inputs index data separately from the situation data, and the database section uses the index data to The distribution control unit adjusts the expression using the expression adjustment data in the output unit and distributes the situation search result data and the index search result data.
 本願発明の第3の側面は、第1又は第2の側面の教育装置であって、前記シソーラス処理部は、異なる感情に対応して異なる単語が使用されるキーワードを、同じキーワードに置き換える。 A third aspect of the present invention is the educational device according to the first or second aspect, in which the thesaurus processing unit replaces keywords in which different words are used corresponding to different emotions with the same keyword.
 本願発明の第4の側面は、第1から第3のいずれかの側面の教育装置であって、前記状況データを入力した前記利用者を特定する解析部を備え、前記配信制御部は、利用者に応じて表現を調整して前記状況検索結果データを配信する。 A fourth aspect of the present invention is the educational device according to any one of the first to third aspects, including an analysis unit that identifies the user who inputs the situation data, and the distribution control unit that The situation search result data is distributed with the expression adjusted depending on the person.
 本願発明の第5の側面は、利用者に対してデータベース部の検索結果を配信する教育装置における教育方法であって、前記教育装置は、キーワード処理部と、シソーラス処理部と、表現調整部と、配信制御部と、データベース部を備え、前記キーワード処理部が、前記利用者により入力された状況データを解析してキーワードを生成するステップと、前記データベース部が、前記キーワードに含まれる検索キーワードデータを用いた検索処理により状況検索結果データを得、前記シソーラス処理部が、前記キーワードに含まれる表現キーワードデータの少なくとも一部を他の単語に置き換え、前記表現調整部が、前記シソーラス処理部が置き換えた後の処理後表現キーワードデータを用いて表現調整データを生成するステップと、前記配信制御部が、出力部において前記表現調整データを用いて表現を調整して前記状況検索結果データを配信するステップを含む。 A fifth aspect of the present invention is an educational method in an educational device that delivers search results of a database section to a user, the educational device comprising a keyword processing section, a thesaurus processing section, and an expression adjustment section. , comprising a distribution control unit and a database unit, the keyword processing unit generating keywords by analyzing situational data input by the user, and the database unit generating search keyword data included in the keywords. obtains situation search result data through a search process using a step of generating expression adjustment data using the processed expression keyword data, and a step of the distribution control unit adjusting the expression using the expression adjustment data in an output unit and distributing the situation search result data. including.
 本願発明の第6の側面は、第5の側面の教育方法であって、前記利用者は、前記状況データとは別に索引データを入力し、前記データベース部が、前記索引データを用いて前記データベース部を検索して索引検索結果データを得、前記配信制御部が、出力部において前記表現調整データを用いて表現を調整して前記状況検索結果データ及び前記索引検索結果データを配信する。 A sixth aspect of the present invention is the educational method according to the fifth aspect, in which the user inputs index data separately from the situation data, and the database section uses the index data to The distribution control unit adjusts the expression using the expression adjustment data in the output unit and distributes the situation search result data and the index search result data.
 本願発明の第7の側面は、第5又は第6の側面の教育方法であって、前記シソーラス処理部が、異なる感情に対応して異なる単語が使用されるキーワードを、同じキーワードに置き換える。 A seventh aspect of the present invention is the educational method according to the fifth or sixth aspect, in which the thesaurus processing unit replaces keywords in which different words are used corresponding to different emotions with the same keyword.
 本願発明の第8の側面は、第5から第7のいずれかの側面の教育方法であって、前記状況データを入力した前記利用者を特定する解析部を備え、前記配信制御部は、利用者に応じて表現を調整して前記状況検索結果データを配信する。 An eighth aspect of the present invention is the educational method according to any one of the fifth to seventh aspects, comprising an analysis unit that identifies the user who inputs the situation data, and the distribution control unit The situation search result data is distributed with the expression adjusted depending on the person.
 本願発明の第9の側面は、コンピュータを、第1から第4のいずれかの側面の教育装置として機能させるためのプログラムである。また、本願発明の第10の側面は、第9の側面のプログラムを記録するコンピュータ読み取り可能な記録媒体である。 A ninth aspect of the present invention is a program for causing a computer to function as the educational device according to any one of the first to fourth aspects. A tenth aspect of the present invention is a computer-readable recording medium that records the program of the ninth aspect.
 本願発明の各側面によれば、利用者が状況データを入力することによりデータベースを検索して得られた解析データを、入力された状況データをシソーラス処理した後に表現を調整して配信することにより、利用者に対して有識者の知識などを伝える場合などに適した表現を提供することができる。 According to each aspect of the present invention, analysis data obtained by searching a database by inputting situational data by a user is distributed after subjecting the inputted situational data to thesaurus processing and adjusting the expression. , it is possible to provide expressions suitable for conveying the knowledge of experts to users.
本願発明の実施の形態に係る教育システムの構成の一例を示すブロック図である。FIG. 1 is a block diagram showing an example of the configuration of an educational system according to an embodiment of the present invention. 図1の教育システムの動作の一例を示すフロー図である。FIG. 2 is a flow diagram showing an example of the operation of the education system of FIG. 1. FIG. 従来の有識者の知識をデータベース化したシステムの構成の一例を示すブロック図である。FIG. 1 is a block diagram showing an example of the configuration of a system in which knowledge of conventional experts is compiled into a database. 従来の番組制作システムの構成の一例を示すブロック図である。FIG. 1 is a block diagram showing an example of the configuration of a conventional program production system.
 以下では、図面を参照して、本願発明の実施例について説明する。なお、本願発明は、この実施例に限定されるものではない。 Hereinafter, embodiments of the present invention will be described with reference to the drawings. Note that the present invention is not limited to this embodiment.
 図1は、本願発明の実施の形態に係る教育システムの構成の一例を示すブロック図である。図2は、図1の教育システムの動作の一例を示すフロー図である。 FIG. 1 is a block diagram showing an example of the configuration of an educational system according to an embodiment of the present invention. FIG. 2 is a flow diagram showing an example of the operation of the educational system of FIG. 1.
 図1を参照して、教育システムは、入力処理部3と、出力部19と、教育装置1を備える。 Referring to FIG. 1, the educational system includes an input processing section 3, an output section 19, and an educational device 1.
 入力処理部3は、利用者による入力処理を行うものである。出力部19は、利用者に対して出力するものである。入力処理部3及び出力部19は、例えばカメラ付きタッチパネルのように同じ装置において実現してもよく、入力処理部3はキーボード、マウス、カメラなどにより、出力部19は、スピーカー、ディスプレイなどによって別の装置として実現してもよい。 The input processing unit 3 performs input processing by the user. The output unit 19 is for outputting to the user. The input processing section 3 and the output section 19 may be implemented in the same device, such as a touch panel with a camera, and the input processing section 3 may be implemented using a keyboard, mouse, camera, etc., and the output section 19 may be implemented separately using a speaker, display, etc. It may be realized as a device.
 教育装置1は、例えばプログラムの制御によって動作するコンピュータなどで実現することができる。教育装置1は、利用者に対してデータベース部5の検索結果を配信する。教育装置1は、解析部9と、キーワード処理部11と、シソーラス処理部13と、表現調整部15と、配信制御部17と、データベース部5と、回答処理部7を備える。 The educational device 1 can be realized, for example, by a computer that operates under the control of a program. The educational device 1 distributes the search results of the database unit 5 to the user. The educational device 1 includes an analysis section 9, a keyword processing section 11, a thesaurus processing section 13, an expression adjustment section 15, a distribution control section 17, a database section 5, and an answer processing section 7.
 データベース部5は、例えばプログラムの制御によって動作するプロセッサなどで実現することができる。データベース部5は、有識者が有する知識(ノウハウなど)を定型化してデータベース化したものであり、索引データなどによって検索することができるシステムである。 The database unit 5 can be realized, for example, by a processor that operates under the control of a program. The database unit 5 is a system in which the knowledge (know-how, etc.) possessed by experts is formalized into a database, and can be searched using index data or the like.
 利用者が入力処理部3によって索引データを入力すると、データベース部5は、索引データを用いて検索処理を行い、一つ又は複数の索引検索結果データを生成する。データベース部5は、例えば、外部サーバにおけるデータベースに対して検索処理を行うものであってもよい。 When a user inputs index data using the input processing unit 3, the database unit 5 performs a search process using the index data and generates one or more index search result data. The database unit 5 may, for example, perform search processing on a database in an external server.
 また、利用者は、入力処理部3によって状況データを入力する。状況データは、文字データ、音声データ及び画像データ(静止画、動画など)の少なくとも一つを含む。例えば利用者が道具の使用方法が分からないとき、利用者はカメラで道具を撮影して画像データを入力する。また、道具を使用する具体的な場面を文字データで入力したり、音声データで入力したり、画像データで入力したりすることもできる。 Additionally, the user inputs situation data using the input processing unit 3. The situation data includes at least one of text data, audio data, and image data (still images, moving images, etc.). For example, when a user does not know how to use a tool, the user takes a picture of the tool with a camera and inputs image data. It is also possible to input specific situations in which the tool will be used as text data, voice data, or image data.
 索引データは、いわば、データベース部5の検索に適した単語などである。他方、状況データは、利用者の現状を示すものである。そのため、索引データと状況データは、異なるものである。なお、索引データに関する処理は省略してもよい。索引データを省略した場合、以下の処理では索引検索結果データがないものとすれば、同様に実現することができる。 The index data is, so to speak, words suitable for searching the database unit 5. On the other hand, situation data indicates the user's current situation. Therefore, index data and status data are different things. Note that the processing related to index data may be omitted. In the case where the index data is omitted, the following process can be implemented in the same way as long as it is assumed that there is no index search result data.
 解析部9は、例えばプログラムの制御によって動作するプロセッサなどで実現することができる。解析部9は、各種データを分析するためのものである。例えば、状況データを分析してキーワードを抽出できる状態にする。例えば、音声データにおいて文字列を抽出して文字データとする。画像データにおいて撮影されている物体を特定して、キーワードを抽出できる状態にする。また、状況データに撮影されている人物を特定して利用者を特定する。 The analysis unit 9 can be realized by, for example, a processor that operates under the control of a program. The analysis section 9 is for analyzing various data. For example, situation data can be analyzed to extract keywords. For example, character strings are extracted from audio data and used as character data. To identify objects photographed in image data and make it possible to extract keywords. Additionally, the user is identified by identifying the person photographed in the situation data.
 キーワード処理部11は、例えばプログラムの制御によって動作するプロセッサなどで実現することができる。キーワード処理部11は、解析部9によって状況データからキーワードを抽出できる状態になった後に、キーワードを抽出する処理を行う。キーワードは、表現キーワードデータと、検索キーワードデータを含む。表現キーワードデータと検索キーワードデータは、同じでもよく、異なってもよく、一部が同じで一部が異なるものでもよい。 The keyword processing unit 11 can be realized, for example, by a processor that operates under the control of a program. The keyword processing unit 11 performs a process of extracting keywords after the analysis unit 9 reaches a state where the keywords can be extracted from the situation data. The keyword includes expression keyword data and search keyword data. The expression keyword data and the search keyword data may be the same or different, or may be partially the same and partially different.
 データベース部5は、検索キーワードデータを用いて検索処理を行い、複数の状況検索結果データを生成する。 The database unit 5 performs a search process using the search keyword data and generates a plurality of situation search result data.
 回答処理部7は、例えばプログラムの制御によって動作するプロセッサなどで実現することができる。回答処理部7は、索引検索結果データ及び複数の状況検索結果データを分析して、各データに対して特徴データを付与する。例えば、暗黙知の顕在化と整理を行うために、複数の判定部(複数の異なる人工知能(AI)処理など)によって各判定部に個性を持たせた事象判断を行って、索引検索結果データ及び複数の状況検索結果データのそれぞれの特徴を分析する。例えば、何かトラブルが発生した場合に、その原因と解決策になり得るものについての知識を検索するときに、一般的に疑わしいもの、生じることは少ないが深刻なミスが生じるもの、生じることは少なく軽微なもの、など、それぞれの原因と解決策には特徴がある。特徴データは、検索により得られた知識に対して、その特徴を示すために付与されるものである。特徴データは、例えば、AIの判断を比較することによって決定された利用者に伝えるべき優先順位を示すデータである。回答処理部7は、例えば多数決などを利用して優先順位などを決定してもよい。回答処理部7が生成する回答データは、索引検索結果データ及び複数の状況検索結果データのそれぞれと、特徴データとを組み合わせたものである。 The answer processing unit 7 can be realized, for example, by a processor that operates under the control of a program. The answer processing unit 7 analyzes the index search result data and a plurality of situation search result data, and assigns characteristic data to each data. For example, in order to reveal and organize tacit knowledge, multiple judgment units (such as multiple different artificial intelligence (AI) processes) make event judgments with each judgment unit unique, and index search result data is and analyze the characteristics of each of the multiple situation search result data. For example, when a problem occurs, when searching for knowledge about its causes and potential solutions, what is generally questionable? Each cause and solution has its own characteristics, such as some being small and minor. Feature data is given to knowledge obtained through a search to indicate its features. The feature data is, for example, data indicating the priority order to be conveyed to the user determined by comparing the judgments of the AI. The answer processing unit 7 may determine the priority order using, for example, majority vote. The answer data generated by the answer processing unit 7 is a combination of each of the index search result data and a plurality of situation search result data, and feature data.
 解析部9は、例えばプログラムの制御によって動作するプロセッサなどで実現することができる。解析部9は、状況データを分析して得られた情報と回答データを利用して解析データを生成する。これは、例えば、図4の例における新たな素材データを、状況データに回答データを加えたものとすることにより実現することができる。解析データは、例えば、配信処理に使用するための文字データ、画像データ、読み上げ音声データなどである。解析データは、例えば、状況データによって明らかにされた、質問などの内容を読み上げるための音声データなどである。また、回答処理部7によって得られた、道具の利用方法を示す回答を読み上げる音声データや画像データなどの質問などに対する回答を表現するためのデータである。さらに、特徴データを分析して、状況データより得られる利用者の状況に合った回答を優先的に選択する。例えば利用者が初心者であれば、トラブルに対する一般的な解決策を優先的に伝える。他方、例えば利用者が詳しいはずの状況であるにもかかわらずトラブルに困惑して質問をしている場合には、一般的に生じやすいトラブルよりも、生じることは少ないが深刻なミスが生じるものを優先する。 The analysis unit 9 can be realized by, for example, a processor that operates under the control of a program. The analysis unit 9 generates analysis data using information obtained by analyzing the situation data and response data. This can be realized, for example, by creating new material data in the example of FIG. 4 by adding response data to situation data. The analysis data is, for example, character data, image data, reading voice data, etc. used in the distribution process. The analysis data is, for example, audio data for reading out the content of a question or the like revealed by the situation data. Further, the data is data for expressing an answer to a question, such as audio data and image data obtained by the answer processing unit 7 to read out an answer indicating how to use the tool. Furthermore, the characteristic data is analyzed to preferentially select answers that match the user's situation obtained from the situation data. For example, if the user is a beginner, give priority to general solutions to problems. On the other hand, for example, if a user is confused about a problem and asks a question even though he/she is supposed to be familiar with the situation, this is a problem that is less likely to occur but can lead to more serious errors than problems that are more likely to occur in general. Prioritize.
 解析部9は、状況データ、ログイン情報などによって利用者を特定してもよい。この場合、解析部9は、利用者ごとに、経歴、検索履歴などを記憶する利用者情報特定部(図示を省略)を備える。解析部9は、例えば、データベース部5及び/又は回答処理部7に対して利用者情報特定部が有する利用者の情報を送って回答処理部7が利用者に応じた一つ又は複数の回答データを生成してもよい。また、利用者に複数の回答データを提示して選択するようにしてもよい。また、解析部9は、利用者情報特定部が有する利用者の情報を使って、利用者に応じて解析データを生成してもよい。また、解析部9は、表現調整部15に対して利用者情報特定部が有する利用者の情報を送って表現調整部15が利用者に応じた表現調整データを生成してもよい。従来のシステムでは、利用者の知識を低く、データベース部5に蓄積された有識者の知識を高く位置づけ、いわば、有識者の高度な知識を、未熟な利用者に伝達する、という一方向での情報の伝達に留まりがちであった。それに対し、教育装置1は、有識者の知識を含む回答データを利用者に応じて生成したり、利用者に応じて回答データを解析データとして文字列などで表現したり、利用者に応じた表現調整データにより利用者に適した表現に調整したりすることができ、より利用者に応じた細やかな表現が可能であるうえ、一の利用者に対する回答を利用者情報特定部、解析部9などの各部に蓄積していくことで教育装置1の利用者に応じた回答の細やかさを増すことができる。そのため、利用者に対する単なる知識の伝達に留まらず、利用者の成長とともに教育装置1も変化して成長させ、利用者に共感しつつ、利用者に自ら考える機会を的確に与え、その成長を促すことができる。 The analysis unit 9 may identify the user based on situation data, login information, etc. In this case, the analysis unit 9 includes a user information specifying unit (not shown) that stores history, search history, etc. for each user. For example, the analysis section 9 sends the user information held by the user information identification section to the database section 5 and/or the answer processing section 7, and the answer processing section 7 generates one or more answers according to the user. May also generate data. Alternatively, a plurality of answer data may be presented to the user for selection. Furthermore, the analysis section 9 may generate analysis data according to the user using user information held by the user information identification section. Further, the analysis section 9 may send the user information held by the user information specifying section to the expression adjustment section 15, and the expression adjustment section 15 may generate expression adjustment data according to the user. In conventional systems, the user's knowledge is placed low and the knowledge of experts accumulated in the database section 5 is placed high, so that information is distributed in one direction, in which the advanced knowledge of experts is transmitted to unskilled users. They tended to limit themselves to communication. On the other hand, the educational device 1 generates answer data that includes the knowledge of experts according to the user, expresses the answer data as analysis data as a character string depending on the user, or expresses it according to the user. The adjustment data can be used to adjust expressions to suit the user, allowing for more detailed expressions tailored to the user. By accumulating information in each part of the educational device 1, it is possible to increase the detail of the answer according to the user of the educational device 1. Therefore, the educational device 1 does not stop at simply transmitting knowledge to the user, but also changes and grows as the user grows, empathizes with the user, accurately gives the user an opportunity to think for himself, and promotes the user's growth. be able to.
 シソーラス処理部13は、例えばプログラムの制御によって動作するプロセッサなどで実現することができる。シソーラス処理部13は、表現キーワードデータに対して、平常心を主としたシソーラスを用いて、単語に合わせた評価をする。回答に当たっては、利用者の感情に合わせて共感する表現よりも、利用者を落ち着かせて冷静にさせるような表現が必要となるためである。シソーラス処理部13は、例えば、同じ意味合いの表現でも異なる感情に対応して異なる単語が使用されるキーワードに対して、同じキーワードに置き換える。これにより、利用者に対して、利用者が様々な状況にあっても、様々な状況に対応できる平常心でのコミュニケーションを実現することができる。 The thesaurus processing unit 13 can be realized, for example, by a processor that operates under the control of a program. The thesaurus processing unit 13 uses a thesaurus mainly based on calmness to evaluate the expression keyword data according to the word. This is because when answering, it is necessary to use expressions that calm the user and calm them down, rather than expressions that empathize with the user's emotions. For example, the thesaurus processing unit 13 replaces keywords in which expressions with the same meaning but different words are used to correspond to different emotions with the same keyword. As a result, it is possible to communicate with the user in a calm manner that allows the user to respond to various situations even if the user is in various situations.
 表現調整部15は、例えばプログラムの制御によって動作するプロセッサなどで実現することができる。表現調整部15は、シソーラス処理部13による処理後の処理後表現キーワードデータを分析して、利用者に伝える表現を調整するための表現調整データを生成する。例えば状況データでは怒りの感情が含まれた表現で道具の使用方法の質問がなされていたとして、シソーラス処理部13がその質問の表現から怒りの感情を取り除いて平常心で道具の使用方法を質問したように処理後表現キーワードデータを生成する。表現調整部15は、処理後表現キーワードデータによって冷静に道具の使用方法を伝えるように表現を調整するようにして利用者を冷静な状態(平常心)へと導く表現調整データを生成する。 The expression adjustment unit 15 can be realized, for example, by a processor that operates under the control of a program. The expression adjustment unit 15 analyzes the processed expression keyword data processed by the thesaurus processing unit 13 and generates expression adjustment data for adjusting the expression to be conveyed to the user. For example, in the situation data, if a question is asked about how to use a tool with an expression that includes an angry emotion, the thesaurus processing unit 13 removes the angry emotion from the expression of the question and asks how to use the tool with a calm mind. After processing, express keyword data is generated as described above. The expression adjustment unit 15 generates expression adjustment data that guides the user to a calm state (calmness) by adjusting the expression to calmly convey how to use the tool using the processed expression keyword data.
 配信制御部17は、例えばプログラムの制御によって動作するプロセッサなどで実現することができる。配信制御部17は、出力部19において解析データを出力する。出力は、文字、音声、画像の少なくとも一部を含む。音声などは、キャラクタによって表現してもよい。配信制御部17は、解析データの出力にあたって、表現調整データを利用して表現を調整する。 The distribution control unit 17 can be realized by, for example, a processor that operates under the control of a program. The distribution control unit 17 outputs the analysis data at the output unit 19. The output includes at least a portion of text, audio, and images. Voice etc. may be expressed by characters. The distribution control unit 17 uses the expression adjustment data to adjust the expression when outputting the analysis data.
 図2を参照して、図1の教育システムの動作の一例を説明する。 An example of the operation of the educational system in FIG. 1 will be described with reference to FIG. 2.
 入力処理部3によって入力されたデータは、解析部9及びデータベース部5に与えられる。解析部9は、入力処理部3から索引データのみが与えられたか否かを判定する(ステップST1)。 The data input by the input processing section 3 is given to the analysis section 9 and the database section 5. The analysis unit 9 determines whether only index data is given from the input processing unit 3 (step ST1).
 入力処理部3から索引データのみが与えられ、状況データが与えられなかったならば(ステップST1でNOであるならば)、状況データに関する処理は行わず、データベース部5が索引データによる検索処理を行い(ステップST6)、回答処理部7が検索結果を処理して回答データを生成し(ステップST7)、解析部9が回答データを解析して解析データを生成し(ステップST8)、配信制御部17が出力部19において解析データを出力する(ステップST9)。 If only the index data is given from the input processing section 3 and no situation data is given (if NO in step ST1), no processing regarding the situation data is performed, and the database section 5 performs search processing using the index data. (step ST6), the answer processing section 7 processes the search results to generate answer data (step ST7), the analysis section 9 analyzes the answer data and generates analysis data (step ST8), and the distribution control section 17 outputs analysis data at the output unit 19 (step ST9).
 入力処理部3から状況データが与えられたならば(ステップST1でYESであるならば)、状況データに関する処理を行う。解析部9は、状況データを分析してキーワードを抽出できる状態にする(ステップST2)。キーワード処理部11は、キーワードを示すキーワードデータを抽出する処理を行う(ステップST3)。シソーラス処理部13は、キーワードデータに含まれる表現キーワードデータに対して、シソーラスを用いたキーワードの置き換え処理を行って処理後表現キーワードデータを生成する(ステップST4)。表現調整部15は、シソーラス処理部13による処理後の処理後表現キーワードデータを分析して、利用者に伝える表現を調整するための表現調整データを生成する(ステップST5)。 If the situation data is given from the input processing unit 3 (if YES in step ST1), processing related to the situation data is performed. The analysis unit 9 analyzes the situation data and makes it possible to extract keywords (step ST2). The keyword processing unit 11 performs a process of extracting keyword data indicating a keyword (step ST3). The thesaurus processing unit 13 performs a keyword replacement process using a thesaurus on the expressed keyword data included in the keyword data to generate processed expressed keyword data (step ST4). The expression adjustment unit 15 analyzes the processed expression keyword data processed by the thesaurus processing unit 13 and generates expression adjustment data for adjusting the expression to be conveyed to the user (step ST5).
 ステップST6において、入力処理部3から状況データのみが与えられ、索引データが与えられなかったならば、データベース部5はキーワードデータに含まれる検索キーワードデータによる検索処理を行う。入力処理部3から状況データ及び索引データが与えられたならば、データベース部5は、索引データ及び検索キーワードデータによる検索処理を行う。 In step ST6, if only the situation data is given from the input processing section 3 and no index data is given, the database section 5 performs a search process using the search keyword data included in the keyword data. When the situation data and index data are given from the input processing section 3, the database section 5 performs a search process using the index data and search keyword data.
 回答処理部7が検索結果を処理して回答データを生成し(ステップST7)、解析部9が回答データを解析して解析データを生成し(ステップST8)、配信制御部17が出力部19において解析データを出力する(ステップST9)。 The answer processing unit 7 processes the search results to generate answer data (step ST7), the analysis unit 9 analyzes the answer data and generates analysis data (step ST8), and the distribution control unit 17 outputs the data in the output unit 19. The analysis data is output (step ST9).
1 教育装置
3 入力処理部
5 データベース部
7 回答処理部
9 解析部
11 キーワード処理部
13 シソーラス処理部
15 表現調整部
17 配信制御部
19 出力部
1 Educational device 3 Input processing section 5 Database section 7 Answer processing section 9 Analysis section 11 Keyword processing section 13 Thesaurus processing section 15 Expression adjustment section 17 Distribution control section 19 Output section

Claims (9)

  1.  利用者に対してデータベース部の検索結果を配信する教育装置であって、
     キーワード処理部と、シソーラス処理部と、表現調整部と、配信制御部と、データベース部を備え、
     前記キーワード処理部は、前記利用者により入力された状況データを解析してキーワードを生成し、
     前記データベース部は、前記キーワードに含まれる検索キーワードデータを用いた検索処理により状況検索結果データを得、
     前記シソーラス処理部は、前記キーワードに含まれる表現キーワードデータの少なくとも一部を他の単語に置き換え、
     前記表現調整部は、前記シソーラス処理部が置き換えた後の処理後表現キーワードデータを用いて表現調整データを生成し、
     前記配信制御部は、出力部において前記表現調整データを用いて表現を調整して前記状況検索結果データを配信する、教育装置。
    An educational device that delivers search results of a database section to users,
    Comprising a keyword processing section, a thesaurus processing section, an expression adjustment section, a distribution control section, and a database section,
    The keyword processing unit generates keywords by analyzing the situation data input by the user,
    The database unit obtains status search result data through a search process using search keyword data included in the keywords;
    The thesaurus processing unit replaces at least a part of the expression keyword data included in the keyword with another word,
    The expression adjustment unit generates expression adjustment data using the processed expression keyword data replaced by the thesaurus processing unit,
    The distribution control unit is an educational device that adjusts expression using the expression adjustment data in an output unit and distributes the situation search result data.
  2.  前記利用者は、前記状況データとは別に索引データを入力し、
     前記データベース部は、前記索引データを用いて前記データベース部を検索して索引検索結果データを得、
     前記配信制御部は、出力部において前記表現調整データを用いて表現を調整して前記状況検索結果データ及び前記索引検索結果データを配信する、請求項1記載の教育装置。
    The user inputs index data separately from the situation data,
    the database unit searches the database unit using the index data to obtain index search result data;
    The educational device according to claim 1, wherein the distribution control unit adjusts the expression using the expression adjustment data in an output unit and distributes the situation search result data and the index search result data.
  3.  前記シソーラス処理部は、異なる感情に対応して異なる単語が使用されるキーワードを、同じキーワードに置き換える、請求項1記載の教育装置。 The educational device according to claim 1, wherein the thesaurus processing unit replaces keywords in which different words are used corresponding to different emotions with the same keyword.
  4.  前記状況データを入力した前記利用者を特定する解析部を備え、
     前記配信制御部は、利用者に応じて表現を調整して前記状況検索結果データを配信する、請求項1記載の教育装置。
    comprising an analysis unit that identifies the user who inputs the situation data;
    The educational device according to claim 1, wherein the distribution control unit distributes the situation search result data by adjusting the expression according to the user.
  5.  利用者に対してデータベース部の検索結果を配信する教育装置における教育方法であって、
     前記教育装置は、キーワード処理部と、シソーラス処理部と、表現調整部と、配信制御部と、データベース部を備え、
     前記キーワード処理部が、前記利用者により入力された状況データを解析してキーワードを生成するステップと、
     前記データベース部が、前記キーワードに含まれる検索キーワードデータを用いた検索処理により状況検索結果データを得、
     前記シソーラス処理部が、前記キーワードに含まれる表現キーワードデータの少なくとも一部を他の単語に置き換え、
     前記表現調整部が、前記シソーラス処理部が置き換えた後の処理後表現キーワードデータを用いて表現調整データを生成するステップと、
     前記配信制御部が、出力部において前記表現調整データを用いて表現を調整して前記状況検索結果データを配信するステップを含む教育方法。
    An educational method in an educational device that distributes search results of a database part to a user,
    The educational device includes a keyword processing section, a thesaurus processing section, an expression adjustment section, a distribution control section, and a database section,
    a step in which the keyword processing unit analyzes situational data input by the user to generate keywords;
    the database unit obtains status search result data through a search process using search keyword data included in the keyword;
    the thesaurus processing unit replaces at least a part of the expression keyword data included in the keyword with another word;
    the expression adjustment unit generating expression adjustment data using the processed expression keyword data replaced by the thesaurus processing unit;
    The educational method includes the step of the distribution control unit adjusting the expression using the expression adjustment data in the output unit and distributing the situation search result data.
  6.  前記利用者は、前記状況データとは別に索引データを入力し、
     前記データベース部が、前記索引データを用いて前記データベース部を検索して索引検索結果データを得、
     前記配信制御部が、出力部において前記表現調整データを用いて表現を調整して前記状況検索結果データ及び前記索引検索結果データを配信する、請求項5記載の教育方法。
    The user inputs index data separately from the situation data,
    the database unit searches the database unit using the index data to obtain index search result data;
    6. The educational method according to claim 5, wherein the distribution control unit adjusts the expression using the expression adjustment data in the output unit and distributes the situation search result data and the index search result data.
  7.  前記シソーラス処理部が、異なる感情に対応して異なる単語が使用されるキーワードを、同じキーワードに置き換える、請求項5記載の教育方法。 The educational method according to claim 5, wherein the thesaurus processing unit replaces keywords in which different words are used corresponding to different emotions with the same keyword.
  8.  前記状況データを入力した前記利用者を特定する解析部を備え、
     前記配信制御部は、利用者に応じて表現を調整して前記状況検索結果データを配信する、請求項5記載の教育方法。
    comprising an analysis unit that identifies the user who inputs the situation data;
    6. The educational method according to claim 5, wherein the distribution control unit distributes the situation search result data by adjusting the expression according to the user.
  9.  コンピュータを、請求項1記載の教育装置として機能させるためのプログラムを記録するコンピュータ読み取り可能な記録媒体。 A computer-readable recording medium that records a program for causing a computer to function as the educational device according to claim 1.
PCT/JP2023/014570 2022-06-30 2023-04-10 Education device, education method, and recording medium WO2024004320A1 (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009157791A (en) * 2007-12-27 2009-07-16 Nippon Telegr & Teleph Corp <Ntt> Question answering method, device, program, and recording medium which records the program
US20190103127A1 (en) * 2017-10-04 2019-04-04 The Toronto-Dominion Bank Conversational interface personalization based on input context
WO2020090574A1 (en) * 2018-11-02 2020-05-07 株式会社ユニバーサルエンターテインメント Information providing system, information providing method, and data structure of knowledge data
WO2020235135A1 (en) * 2019-05-20 2020-11-26 株式会社Nttドコモ Interactive system
JP2021196798A (en) * 2020-06-12 2021-12-27 株式会社日立製作所 Interactive system and control method for interactive system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009157791A (en) * 2007-12-27 2009-07-16 Nippon Telegr & Teleph Corp <Ntt> Question answering method, device, program, and recording medium which records the program
US20190103127A1 (en) * 2017-10-04 2019-04-04 The Toronto-Dominion Bank Conversational interface personalization based on input context
WO2020090574A1 (en) * 2018-11-02 2020-05-07 株式会社ユニバーサルエンターテインメント Information providing system, information providing method, and data structure of knowledge data
WO2020235135A1 (en) * 2019-05-20 2020-11-26 株式会社Nttドコモ Interactive system
JP2021196798A (en) * 2020-06-12 2021-12-27 株式会社日立製作所 Interactive system and control method for interactive system

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