WO2023145386A1 - Decision-making ability evaluation device, system, and program - Google Patents

Decision-making ability evaluation device, system, and program Download PDF

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Publication number
WO2023145386A1
WO2023145386A1 PCT/JP2022/048639 JP2022048639W WO2023145386A1 WO 2023145386 A1 WO2023145386 A1 WO 2023145386A1 JP 2022048639 W JP2022048639 W JP 2022048639W WO 2023145386 A1 WO2023145386 A1 WO 2023145386A1
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test subject
decision
making ability
evaluating
questions
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PCT/JP2022/048639
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French (fr)
Japanese (ja)
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雄介 朝田
迅 成本
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京都府公立大学法人
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/20Natural language analysis
    • G06F40/205Parsing
    • G06F40/216Parsing using statistical methods
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics

Definitions

  • the present invention relates to a decision-making ability evaluation device, system, and program for evaluating the decision-making ability of test subjects.
  • Economic capacity is the most important ability for the elderly to carry out their daily lives. Economic capacity includes daily activities such as purchasing food and daily necessities, using financial institutions, buying and selling real estate, making loans and making insurance contracts, etc.
  • daily activities such as purchasing food and daily necessities, using financial institutions, buying and selling real estate, making loans and making insurance contracts, etc.
  • the risk of elderly people being involved in troubles such as fraud and unfair contracts is increasing.
  • Patent Literature 1 acquires examination data of an examination subject based on a two-way video and voice dialogue between an examiner and an examination subject via a video conference system, and uses the examination data to determine mental capacity.
  • a system that creates data and remotely evaluates the decision-making ability in economic activities of the test subject based on both the data for judging mental capacity in economic activities of the test subject and the financial literacy score of the test subject; It discloses how.
  • test data of the test subject in Patent Document 1 is created by recording the content of the test subject's answers in the two-way video and voice dialogue between the test subject and the test subject. There is.
  • financial literacy score is required separately from the data for judging mental capacity in order to evaluate whether or not the test subject has financial literacy.
  • the problem to be solved by the present invention is to obtain, in real time, voice data of a test subject uttered in response to a question about the use of a product or service, and use the voice data to explain the use of the test subject's product or service.
  • An object of the present invention is to provide a decision-making ability evaluation device, system, and program for determining decision-making ability.
  • a decision-making ability evaluation device used to evaluate a person's decision-making ability in the use of goods or services, a voice data acquisition unit that acquires voice data of a person to be tested from conversations related to the use of goods or services; a conversion unit that converts the voice data of the person to be examined acquired by the voice data acquisition unit into text data; a decision-making ability determination unit that determines the decision-making ability of a person to be inspected for use of goods or services based on the text data converted by the conversion unit;
  • the voice data of the person to be inspected is the test subject's answers to questions for evaluating the test subject's understanding; the test subject's responses to questions to assess the test subject's cognition; and the test subject's responses to questions to assess the test subject's reasoning; including at least two of When the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding, the determination of the decision-making ability by the decision-making ability determination unit includes the test subject
  • a decision-making ability evaluation device including determining the logical thinking of a test subject based on text data obtained by converting the subject's answer.
  • Section 2. the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's expression of choice; Judgment of decision-making ability by the decision-making ability judgment unit, 2. Decision-making according to paragraph 1, comprising determining the test subject's statement of choice based on text data obtained by converting the test subject's answer to a question for evaluating the test subject's statement of choice.
  • Ability evaluation device Item 3.
  • the determination of decision-making ability by the decision-making ability determination unit is performed by combining words with high frequency of co-occurrence in the text obtained by converting the voice data of the test subject's utterances in the dialogue related to the use of the product or service.
  • Item 3. The apparatus for evaluating decision-making ability according to Item 1 or 2, including determining that the test subject understands if the test subject is awakened.
  • Section 4. The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding, The questions for evaluating the test subject's comprehension include a first expression in a specific field and the frequency of occurrence with the expression, created using a machine learning model trained on text data related to current events.
  • Item 5 The voice data acquisition unit includes a question for evaluating the recognition of the person being examined, and the person's answer to the question for evaluating the person's recognition,
  • the decision-making ability determination unit At least one same word appears in common between the text obtained by converting the voice data of the question for evaluating the recognition of the test subject and the text obtained by converting the voice data of the answer of the test subject. matter, A combination of co-occurrences of the commonly appearing word and another word in the text obtained by converting the voice data of the test subject's answer is a question for evaluating the recognition of the test subject.
  • the decision-making ability evaluation device determines that the Item 6.
  • the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's logical thinking
  • the text data obtained by converting the test subject's answers to the questions for evaluating the test subject's logical thinking includes words representing comparison, or words representing presentation, paralleling, or enumeration of similar items. 5.
  • the decision-making ability evaluation device according to any one of 1 to 4.
  • Judgment of decision-making ability by the decision-making ability judgment unit Based on whether the contents of the text data converted from the question for evaluating the understanding of the test subject and the text data converted from the test subject's answer to it are positive or negative, Item 5.
  • the decision-making ability evaluation device according to any one of items 1 to 4, including determining logical thinking. Item 8.
  • the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding, questions for assessing the subject's comprehension include instructions for the subject to read a document related to the use of goods or services;
  • the decision-making ability evaluation device an image acquisition unit that acquires image data of a person to be inspected; further comprising a line-of-sight measurement unit that analyzes the image data of the face of the inspection subject acquired by the image acquisition unit and measures the trajectory of the line of sight; 2.
  • the decision-making ability evaluation device according to item 1, wherein the decision-making ability determination unit determines the understanding of the person being examined based on the measurement result of the line-of-sight trajectory received from the line-of-sight measurement unit.
  • the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding, questions for assessing the subject's comprehension include instructions for the subject to read a document related to the use of goods or services;
  • the decision-making ability evaluation device an image acquisition unit that acquires image data of a person to be inspected; further comprising a face orientation measurement unit that analyzes the image data of the face of the person to be inspected acquired by the image acquisition unit and measures the orientation of the face; 2.
  • a decision-making ability evaluation system for evaluating the decision-making ability of a person to be tested in using a product or service, comprising: an inspection terminal; with a decision-making ability evaluation device of The decision-making ability evaluation system, wherein the speech data acquisition unit of the decision-making ability evaluation device acquires the examination subject's speech data from a dialogue related to use of the product or service received from the examination terminal.
  • a decision-making ability evaluation program used to evaluate a person's decision-making ability in the use of goods or services comprising: a voice data acquisition unit that acquires voice data of a person to be tested from conversations related to the use of goods or services; a conversion unit that converts the voice data of the person to be examined acquired by the voice data acquisition unit into text data; a decision-making ability determination unit that determines the decision-making ability of a person to be inspected for use of goods or services based on the text data converted by the conversion unit;
  • the voice data of the person to be inspected is the test subject's answers to questions for evaluating the test subject's understanding; the test subject's responses to questions to assess the test subject's cognition; and the test subject's responses to questions to assess the test subject's reasoning; including at least two of When the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding, the determination of the decision-making ability by the decision-making ability
  • the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's expression of choice;
  • the judgment of decision-making ability by the decision-making ability judging unit is based on text data obtained by converting the test subject's answers to questions for evaluating the test subject's expression of selection.
  • the determination of decision-making ability by the decision-making ability determination unit is performed by combining words with high frequency of co-occurrence in the text obtained by converting the voice data of the test subject's utterances in the dialogue related to the use of the product or service.
  • a decision-making ability assessment program according to clause 11 or 12, comprising determining that the test subject understands if aroused.
  • the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding,
  • the questions for evaluating the test subject's comprehension include a first expression in a specific field and the frequency of occurrence with the expression, created using a machine learning model trained on text data related to current events.
  • the voice data acquisition unit includes a question for evaluating the recognition of the person being examined, and the person's answer to the question for evaluating the person's recognition,
  • the decision-making ability determination unit At least one same word appears in common between the text obtained by converting the voice data of the question for evaluating the recognition of the test subject and the text obtained by converting the voice data of the answer of the test subject.
  • a combination of co-occurrences of the commonly appearing word and another word in the text obtained by converting the voice data of the test subject's answer is a question for evaluating the recognition of the test subject. and that the word related to the test subject appears in the text obtained by converting the test subject's answer.
  • the decision-making ability evaluation program according to any one of items 11 to 14, which determines that the decision-making ability evaluation program.
  • the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's logical thinking
  • the text data obtained by converting the test subject's answers to the questions for evaluating the test subject's logical thinking includes words representing comparison, or words representing presentation, paralleling, or enumeration of similar items.
  • the decision-making ability evaluation program according to any one of 11 to 14.
  • Item 17 The determination of decision-making ability by the decision-making ability determination unit is based on the content of the text data converted from the question for evaluating the understanding of the test subject and the text data converted from the test subject's answer to the question, 15.
  • the decision-making ability evaluation program according to any one of items 11 to 14, comprising determining the logical thinking of the test subject based on whether it is positive or negative.
  • Item 18 The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding, questions for assessing the subject's comprehension include instructions for the subject to read a document related to the use of goods or services;
  • the decision-making ability evaluation program causes the computer to: an image acquisition unit that acquires image data of a person to be inspected; further functions as a line-of-sight measurement unit that analyzes the image data of the face of the inspection subject acquired by the image acquisition unit and measures the trajectory of the line of sight; 12.
  • the decision-making ability evaluation program determines the comprehension of the test subject based on the measurement result of the line-of-sight trajectory received from the line-of-sight measurement unit.
  • the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding, questions for assessing the subject's comprehension include instructions for the subject to read a document related to the use of goods or services;
  • the decision-making ability evaluation program causes the computer to: an image acquisition unit that acquires image data of a person to be inspected; analyzing the image data of the face of the person to be inspected acquired by the image acquisition unit and further functioning as a face orientation measurement unit for measuring the orientation of the face; 12.
  • Item 20. A recording medium for recording the decision-making ability evaluation program according to any one of items 11 to 19.
  • the present invention it is possible to quickly and highly accurately evaluate the decision-making ability of an inspected person by a computer based on the voice data of the inspected person acquired in response to questions regarding the use of goods or services. .
  • Explanatory drawing of the decision-making ability evaluation system of this embodiment Explanatory drawing of a decision-making ability evaluation apparatus.
  • Explanatory diagram of evaluation items for evaluation of financial product trading ability Explanatory diagram of memory and association based on the relationship between words in a sentence.
  • (B) An example of an economic policy article posted on a website An example of an economic policy article posted on a website,
  • C A graph of each word and its frequency of occurrence.
  • A A network diagram showing the relationship of co-occurring words in economic policy articles,
  • (B) a set of co-occurring words and a list of their appearance frequencies An example of vectorization of text.
  • 4 is a flowchart showing the flow of processing executed by the inspection terminal 10;
  • 4 is a flow chart showing the flow of processing executed by the decision-making ability evaluation device 20 of the present embodiment.
  • “Awareness” means knowing that all or part of the information presented “relates to you” and/or you “make a choice out of the information presented to you.” indicate that it is "associating”. As this cognitive function declines, expressions become ambiguous.
  • Logical thinking includes (1) logical thinking and guessing about results, (2) logical thinking for comparison, and (3) logical consistency.
  • ⁇ Logical thinking and speculation about the result'' is the ability to associate the result you have selected within the ⁇ range of the information presented'' (the logic that leads to the result). It also includes associating beyond the scope of information (developing associations based on logic that leads to results).
  • “Comparative logical thinking” refers to the ability to compare multiple options.
  • “Logical Consistency” is the process leading to the conclusion of the comparison in (2), without any disconnection of associations within or between speakers, until the choice is made.
  • Table 1 shows the two-way video and voice dialogue between the inspector and the person being inspected. This is an example of evaluating decision-making ability, specifically decision-making ability for purchasing financial products.
  • Mr. A is 72 years old, and he is concerned that he is becoming more "forgetful” due to his age, but he is trying not to let people around him know about it. They have one son and one daughter, but now they live independently and far away.
  • Ms. A has been living alone since her husband died three years ago.
  • Mr. A's assets he has 10 million yen in our bank and 10 million yen in other banks.
  • Mr. A expresses an explicit intention to positively consider the introduction of a new financial product, and the declaration of selection is determined as Positive.
  • Mr. A is fully equipped with the ability to "understand,” “recognise,” “logically think,” and “express choices” regarding financial transactions. is determined to be Therefore, the inspector can decide that Mr. A may be introduced to a new financial product.
  • Table 2 shows the two-way video and audio dialogue between the inspector and the person being inspected. This is an example of evaluating decision-making ability, specifically decision-making ability for purchasing financial products.
  • Mr. B is 72 years old, and the child is now living independently and far away. Ms. B has been living alone since her husband passed away. As for Mr. B's assets, he has 10 million yen in our bank and 10 million yen in other banks. Until now, I managed about 2 million yen in investment trusts and stocks at a securities company. The other day, I received a notice of maturity of the regular deposit that I had deposited, so last month I visited Bank X, received a proposal for investment in an "investment trust", and decided to consider it until the maturity date. This is my second visit to the bank.
  • Mr. B has "understanding”, “recognition”, and "logical thinking” regarding financial transactions (hoping to introduce new financial products). is determined to be inadequate. For this reason, even if a positive "expression of choice” was made at the end, it cannot be determined that Mr. B has other abilities, so the examiner decides to stop introducing Mr. B to a new financial product. be able to.
  • the present invention overcomes the disadvantages of face-to-face evaluation of decision-making ability by an inspector by supporting decision-making ability evaluation by a decision-making ability evaluation device or a decision-making ability evaluation system. It is to be resolved.
  • the decision-making ability evaluation system of this embodiment includes a test terminal 10 and a decision-making ability evaluation device 20.
  • dialogue regarding use of goods or services includes “questions for evaluating decision-making ability of test subjects”.
  • questions related to the use of goods or services refer to terms of use, user manuals, instruction manuals, usage instructions, etc. that the test subject must contact with his eyes, ears, fingers, etc. when using goods or services.
  • Licensing agreements, warranties, prospectuses, agreements, and other documents that accompany contracts, or part of these documents in question format, or electronic data in the same field as the product or service refers to questions created for decision-making ability evaluation.
  • the questions are not limited to those using documents related to the financial product itself, but also questions created from electronic data of financial or economic news or articles, such as questions about interest rates. Included in "Questions about the use of goods or services.”
  • At least one of the questions to evaluate the decision-making ability of the test subject should be a question about the use of goods or services. It may be a question about usage.
  • questions other than questions about the use of goods or services may be any questions as long as they can evaluate the decision-making ability of the test subject. It can be a problem, etc.
  • Questions for evaluating the decision-making ability of the test subject include questions for evaluating the test subject's “understanding”, “recognition”, “logical thinking”, and “expression of choice”.
  • the questions for evaluating the test subject's “understanding”, “recognition”, “logical thinking”, and “expression of choice” are intended to acquire the test subject's answers to the questions. If so, it does not necessarily have to be in the form of an interrogative sentence to ask the person to be examined, and includes voice utterances that are not in the form of questions, and questions displayed on paper or on a display device.
  • test subject may be any person who needs evaluation of decision-making ability, for example, an elderly person aged 65 or over.
  • test subjects include, for example, those subjectively or objectively having a decline in cognitive function and having doubts about their decision-making ability.
  • the tester is not particularly limited, and experts such as doctors and clinical psychologists, other people who have received specialized training in cognitive function testing, or employees of providers who provide products or services include but are not limited to.
  • the decision-making ability evaluation of the present invention is performed by a computer, the test can be performed by the control unit of the test terminal 10 or the decision-making ability evaluation device 20 .
  • the inspection terminal 10 is a terminal that acquires and records biological information such as the voice and images of the person to be inspected.
  • Examples of the inspection terminal 10 include a smart phone, a mobile phone, a tablet terminal, a personal computer, and the like.
  • the inspection terminal 10 may be owned by the person to be inspected, or may be installed in a medical institution, a financial institution, or a building where products or services are provided, but is not limited to these.
  • the inspection terminal 10 includes an operation unit 11, a communication connection unit 12, a control unit 13, a storage unit 14, a display device 15 such as a display, a speaker 16, a microphone 17, and an imaging device 18.
  • the operation unit 11 includes a keyboard, mouse, pointing device, and the like.
  • the communication connection unit 12 is an interface for connecting the inspection terminal 10 to other external devices for communication, and may be wireless or wired, and includes LAN, the Internet, and the like.
  • the control unit 13 includes control means such as a CPU, memories such as RAM and ROM, and performs various processes in the subject terminal 10 .
  • the storage unit 14 is a storage medium for recording various data in the inspection terminal 10, and includes, for example, a hard disk drive and a solid state drive.
  • the storage unit 14 can be used to record data of a program executed by the control unit 13, data transmitted/received between the inspection terminal 10 and an external device, and the like.
  • the display device 15 is, for example, a liquid crystal monitor, and displays various data output according to commands from the control unit 13 .
  • the speaker 16 is a device that outputs utterances from the examiner and questions regarding the use of products or services as voice. Speech from the examiner received by the testing terminal 10 from an external device such as the decision-making ability evaluation device 20, or an external device such as the decision-making ability evaluation device 20 or the memory or storage unit 14 of the control unit 13 of the testing terminal 10 A question about use of the product or service received from the storage unit is converted into voice by the control unit 13 and output from the speaker 16 .
  • the microphone 17 is a device for inputting the voice spoken by the person to be examined. Speech of the person to be examined is input through the microphone 17 and analog-digital converted into voice data by the control unit 13 . This audio data is recorded in the memory of the control unit 13 or a storage unit such as the storage unit 14 . Also, the speech data is transmitted to the decision-making ability evaluation device 20 via the communication connection unit 12 by the processing executed by the control unit 13 .
  • the imaging device 18 is, for example, a camera built into the inspection terminal 10, and acquires time-series image data.
  • the image data is data including at least the face image of the person to be inspected. This image data is recorded in the memory of the control unit 13 or a storage unit such as the storage unit 14 . Further, the image data is transmitted to the decision-making ability evaluation device 20 via the communication connection unit 12 by the processing executed by the control unit 13 .
  • a decision-making ability evaluation device 20 is connected to the testing terminal 10 via the Internet or the like.
  • Examples of the decision-making ability evaluation device 20 include smartphones, mobile phones, tablet terminals, personal computers, servers, and the like.
  • the decision-making ability evaluation device 20 includes a communication connection unit 22, a control unit 23, a storage unit 24, and a display unit 25.
  • the decision-making ability evaluation device 20 may be owned by an inspector or an organization to which the inspector belongs, or may be installed in a medical institution, a financial institution, a real estate company, or a building where products or services are provided. However, it is not limited to these.
  • the communication connection unit 22 is an interface for communication connection of the decision-making ability evaluation device 20 with other external devices, and may be wireless or wired, and includes a LAN, the Internet, and the like.
  • the test terminal 10 and the decision-making ability evaluation device 20 are connected for communication with each other via the communication connection units 12 and 22 .
  • the storage unit 24 is a storage medium for recording various data in the decision-making ability evaluation device 20, and includes, for example, a hard disk drive and a solid state drive.
  • the storage unit 24 can be used to record data of programs executed by the control unit 23, data transmitted and received by the decision-making ability evaluation device 20 to and from external devices, and the like.
  • the control unit 23 includes control means such as a CPU, memories such as RAM and ROM, and performs various processes in the decision-making ability evaluation device 20 .
  • the control unit 23 includes a voice data acquisition unit 230 that acquires voice data of the subject, a conversion unit 231 that converts the voice data acquired by the voice data acquisition unit 230 into text data, and text data converted by the conversion means.
  • a text analysis unit 232 for analyzing data and a judgment unit 233 for judging the decision-making ability of the person to be examined for use of products or services based on the data analyzed by the text analysis unit 232 are provided.
  • the determination unit 233 a portion of the text analysis unit 232 that functions to determine the decision-making ability of the test subject to use products or services, and the decision-making ability determination unit 238 are configured.
  • the acquisition unit 230 acquires the audio data of the inspector's utterance and the audio data of the inspection subject's utterance. Speech recognition is performed on the voice data of a person's utterance, and the data is converted into text data in a form that allows individual utterances to be identified.
  • a text analysis unit 232 analyzes the text data generated by the conversion unit 231 . Examples of analysis include morphological analysis that breaks sentences into words.
  • the determination unit 233 determines the decision-making ability of the person to be examined regarding the use of products or services.
  • control unit 23 further includes a data management unit 234, an image acquisition unit 235 that acquires image data of the person to be inspected, and an image data of the face of the person to be inspected acquired by the image acquisition unit 235. Then, a line-of-sight measurement unit 236 that measures the trajectory of the line of sight, and a face orientation measurement unit 237 that analyzes the image data of the face of the inspection subject acquired by the image acquisition unit 235 and measures the orientation of the face are further provided. I have.
  • biometric information acquired from the test subject while receiving questions about the use of products or services include A) voice, B) eye movement (line of sight), C) face orientation, or A) the voice is acquired as voice data by the voice data acquisition unit 230, and B) the eye movement (line of sight trajectory) and C) the face direction are obtained by combining two or three of them. is obtained by the image obtaining unit 234 as the image data of the face of the child, and is analyzed later.
  • Figure 3 shows the evaluation of financial product trading ability by applying MacCAT-T and CANDy (Oda et al., Conversational assessment of cognitive dysfunction among residents living in long-term care facilities Published online by Cambridge University Press: 21 September 2017). shows the evaluation items for
  • the evaluation of literacy in a certain field of transactions is based on whether or not the test subject understands (memorizes and associates) appropriate words and co-occurring words related to that field (here in the financial field). It can be evaluated by determining whether
  • the question to evaluate the person's "understanding” is, "If interest rates in the United States rise, will the yen depreciate? Will the yen appreciate?" Will it be?” in the financial or economic field.
  • data of answers including “yen depreciation” including “yen depreciation” are stored in the data management unit 234 or the storage unit 24 as answer candidates indicating that "understanding” is possible.
  • the data management unit 234 stores the data of answers including "strong yen” such as “strong yen” and data of answers "I don't know” as answer candidates indicating that "understanding” is not possible.
  • the text analysis unit 232 analyzes the text obtained by converting the speech data of the person to be examined acquired from the dialogue related to the use of the product or service.
  • the text analysis unit 232 or the determination unit 233 analyzes the test subject's answers to the questions for evaluating the test subject's understanding and the answer candidates stored in the data management unit 234 or the storage unit 24. In comparison, if the test subject's answer matches the answer that includes "yen depreciation", it is determined that the test subject has "understanding” and includes "strong yen” and "don't know”. If it matches the answer given, it can be determined that the person to be examined does not "understand".
  • voice data of such questions stored in the data management unit 234 or the storage unit 24 may be issued. good.
  • the text analysis unit 232 or the determination unit 233 determines whether the test subject "understands" It can be determined that
  • the likelihood of the test subject's memory is determined in terms of whether the test subject's utterances are in line with current events.
  • the determination unit 233 stores, in the data management unit 234 or the storage unit 24, combinations of words co-occurring in the same sentence in the text obtained by converting the speech data of the test subject's speech obtained from the data analysis unit 232. It is possible to evaluate whether or not the test subject is able to associate the memory by comparing with the data of the words obtained and by obtaining the frequency of co-occurrence.
  • FIG. 5-6 shows an example of obtaining data between words that are frequently co-occurred in the same sentence by storing and learning the data between words in the data management unit 234 or the storage unit 24 of the decision-making ability evaluation device 20. .
  • the control unit 23 acquires electronic data, here, a plurality of economic policy articles posted on a website, and counts the number of words appearing in the text that are the same as those shown in FIG.
  • the text analysis unit 232 counts and obtains the appearance frequency of each word (FIG. 5(C)).
  • Electronic data for analyzing sentences and extracting words is not particularly limited as long as it is text data. Training materials may be converted into text data. Also, the electronic data does not have to be related to current affairs.
  • the text analysis unit 232 can analyze sentences in economic policy articles posted on websites, and obtain sets of words co-occurring in the same sentence and their frequency of occurrence (Fig. 6 (A ), (B)).
  • Such a set of words co-occurring in the same sentence is optionally stored and learned in the data management unit 234 or the storage unit 24 together with the appearance frequency, and the utterance of the test subject acquired from the text analysis unit 232 If words co-occur in the same sentence stored and learned in the data management unit 234 or the storage unit 24 in the text obtained by converting the speech data of the judgment unit 233, It can be determined that a person "understands" current affairs. When words with an appearance frequency higher than a certain number co-occur, the determination unit 233 may determine that the test subject "understands" the current affairs.
  • the text analysis unit 232 of the decision-making ability evaluation device 20 divides frequent expressions included in the electronic text data into groups by date and period (hereinafter referred to as expression groups), and divides the frequent expressions into groups. can be written as a vector. Any existing machine learning model such as BERT (Bidirectional Encode r Representations from Transformers) or USE (Universal Serial Encoder) can be used to vectorize text data. At this time, expressions included in the test subject's utterance and the learned expression group are close (high in similarity), and expressions are made so that the likelihood of the test subject's memory is high.
  • BERT Bidirectional Encode r Representations from Transformers
  • USE Universal Serial Encoder
  • Fig. 7 is an example of vectorization of sentences.
  • sentences a and b For example, in (1), suppose there are sentences a and b. In (2), these sentences are divided into words (tokens) by morphological analysis. In (3), by assigning a value depending on the appearance frequency to this token, the text can be converted into a string of numbers.
  • a is the weather and b is the traffic content, but referring to the data set in the field of goods or services planned to be used by the test subject (e.g. finance, economy, current affairs, medical care), It becomes a vector that easily reflects the characteristics of terms in the relevant field.
  • sentences containing combinations of co-occurring words are vectorized from the text data of a specific field.
  • a set 51 of co-occurring words is analyzed from electronic text data 50 on the Internet in the field of finance and finance, sentences containing such co-occurring words are described by multidimensional vectors, and expression group 1 cluster.
  • sentences obtained from electronic text data 53 on the Internet in the field of sports are also described by multidimensional vectors and clustered into expression group 2 .
  • the expression group 1 and the expression group 2 are shown at coordinates 53 by reference numerals 54 and 55, respectively.
  • the distance D of an example sentence 56 indicates the degree of similarity with the field of finance. For example, if the contents of the analyzed text of the text of the examiner's utterance are decomposed and the content of finance is closer to expression group 1, and if the content of the analysis is the content of sports, expression group It approaches 2. The closer the distance from the group of expressions in the learned specific field is, the closer the example sentence 56 is to the topic, and the speaker can be considered to have memorized the contents of this field.
  • the determination unit 233 determines that the inspection It can be determined that the subject has the ability of "understanding".
  • the text analysis unit 232 fills in the [MASK] in the sentence using a bidirectional encoded expression model (BERT model) learned from electronic text data such as current affairs data on a website.
  • BERT model bidirectional encoded expression model
  • electronic text data such as current affairs data on a website.
  • Created and printed by the control unit 23 or displayed on the display unit 25 Fill-in-the-blank questions are answered by the test subject, and based on the results, the test subject's "understanding" ability is evaluated.
  • test subject's answer matches the probability obtained by BERT or a word with a high frequency of appearance, it can be determined that the test subject has the ability of "understanding”. If the test subject's answer does not match the probability obtained by BERT or a word with a high frequency of appearance, it can be determined that the test subject does not have the ability to "understand”.
  • Figure 9 is a conversation between the inspector and the person being inspected.
  • the subject may be omitted before ⁇ I don't particularly use funds,'' and in that case, it is necessary to guess from the sentences before and after, but ⁇ I am'', ⁇ This is In this case, it is easy to guess that there is a high probability that "I am” will be filled in, and the words that indicate that you are involved are not included in the text converted from the test subject's utterance. can be regarded as appearing in
  • test subject can determine that the test subject has the ability of "recognition”.
  • FIG. 10(A) is a sentence obtained by converting the voice data of the test subject's utterance into text.
  • the text analysis unit 232 decomposes the text in FIG. 10(A) by morphological analysis, it is decomposed and listed as shown in FIG. 10(B), for example.
  • the text analysis unit 232 or the determination unit 233 compares whether the text data of the inspector's utterance before the text data of the inspector's utterance includes the same words for the words "use” and "funds.” Then, from the comparison result, it can be determined that this co-occurring word appears repeatedly among the speakers.
  • the text analysis unit 232 or the determination unit 233 learns and/or stores in advance whether the words “use” and “place” in the text data of the test subject's utterance are co-occurring words with high appearance frequency.
  • the co-occurring words can be compared and determined.
  • the subject in the sentence When the subject in the sentence is omitted, the subject can be estimated using BERT, as shown in FIG. 10(C).
  • the text analysis unit 232 determines that the sentence in FIG. presume.
  • the text analysis unit 232 or the determination unit 233 can estimate that the topic is likely to be related to the person himself.
  • the decision-making ability determination unit 238 can determine that the test subject has the ability of "recognition”.
  • FIG. 11B shows a part of the result of the text analysis unit 232 decomposing the text of FIG. 11(A) by morphological analysis. Particles/conjunctive particles" (Note: In English, the whole "so" is classified as a conjunction), but the text of the test subject's answer is the text of the test subject's utterance before the test subject's answer.
  • FIGS. 12(A) and (B) are conversations between the inspector and the person being inspected.
  • the text analysis unit 232 decomposes the text obtained by converting the speech data of the test subject's utterance by morphological analysis or the like. .
  • the text analysis unit 232 or the determination unit 233 can be determined to have the ability of "comparative reasoning".
  • FIG. 12C shows an implementation example.
  • Examples of comparative words include yori (case particle: A to B), ⁇ mo'' (relative particle: both A and B), ⁇ ka'' (adjunct particle: A or B), and ⁇ ga'' (conjunctive particle). : A, but B) and so on.
  • ⁇ logical consistency'' is the process leading to the comparison result of (2), ⁇ no discontinuity in association'' throughout the conversation, and the process leading up to the declaration of choice.
  • Fig. 13 is a conversation between an inspector and an inspection subject.
  • the examiner's utterance 62 has positive contents for the other party when the information that the examinee can obtain gain is regarded as positive, and the examiner's utterance 63 also has the content of the examiner's utterance 62. It is a statement that is understood to be positive.
  • the text analysis unit 322 analyzes electronic text data in a specific field (financial field in this embodiment) Three labels of negative, neutral, and positive are given (two labels of negative and positive may be used), and based on this pre-learned data, the text analysis unit 322 or the determination unit 323 determines the speaker's utterance.
  • the polarity of the text can be determined, and from the consistency of polarity between speakers, the consistency of logic can be determined.
  • the text analysis unit 322 or the determination unit 323 determines whether the test subject's utterance has "logical consistency.” ” can be determined. In other relationships, the text analysis unit 322 or the determination unit 323 can determine that there is no "logical consistency" in the test subject's utterance.
  • the text analysis unit 322 or the determination unit 323 can determine that the test subject's utterance has "logical consistency".
  • Determining "statement of choice” means determining the presence or absence of "statement of choice”.
  • the one or more questions posed to the test subject include questions to evaluate the choice statement. Questions for evaluating the choice statement are, for example, "Would you like more information about the use of (this) product or service?", "Do you use (this) product or service?” It is.
  • the conversion unit 231 annotates the portion of the text corresponding to the statement of choice among the text data obtained by converting the test subject's answers to the questions for evaluating the statement of choice.
  • the determination unit 233 determines the "statement of choice” of the test subject based on the text data converted from the test subject's answer to the question for evaluating the statement of choice. For example, if the "statement of choice” is positive text data such as "please”, “tell me”, “introduce”, It can be determined that there is a “statement of choice”, and in the case of negative text data such as "Yes”, “No need”, “No need”, it can be determined that there is no "statement of choice”.
  • the determination unit 233 determines that there is a “statement of selection”, and if it matches a negative answer candidate, the determination unit 233 determines “selection It is determined that there is no "statement”.
  • the determination unit 233 determines the "understanding”, “logical thinking", and “expression of choice” of the person to be examined.
  • the determination result of each item may be displayed on the display unit 25 by the control unit 23 or printed by the printer.
  • the determination unit 233 determines that the person to be examined has made a decision to use the product or service. It can be determined that it has the ability. In addition, if the determination result of at least one of “understanding”, “recognition”, “logical thinking”, and “expression of choice” is negative, the determination unit 233 further determines that the person to be inspected is a product or service. can be determined not to have decision-making capacity for the use of
  • the control unit 23 may cause the display unit 25 to display the comprehensive determination result as to whether the person to be inspected has the decision-making ability to use the product or service, or the printing machine may print the result. good too.
  • Table 3 shows a scene in which a bank employee (inspector) reports on the operation of customer C (inspected person) whose time deposit is nearing maturity and recommends another financial product.
  • customer C inspected person
  • a specific example of determining whether or not the customer C has sufficient decision-making ability to use financial products using the decision-making ability evaluation device of the embodiment will be shown.
  • Conversation No. Conversation no. At 2 customer C has answered.
  • the decision-making ability determination unit 238 determines that the voice data of the answer of customer C is Based on the converted text data, it can be determined that customer C's "recognition” and "logical thinking” abilities are positive.
  • Conversation No. Conversation No. 3 is a question from the staff to evaluate the "logical thinking to be compared” among the "logical thinking" of the person being examined. 4 is a reply to it from customer C. As described above regarding the evaluation of the “logical thinking to be compared”, the decision-making ability determination unit 238 determines whether the “logical thinking” of customer C is It can be determined to be affirmative.
  • Conversation No. 5 is a question from the staff to evaluate the "understanding" of the test subject.
  • 6 is customer C's response.
  • the decision-making ability determination unit 238 (the text analysis unit 232 or the determination unit 233) can determine that the "understanding" of the customer C is affirmative based on the text data obtained by converting the voice data of the answer of the customer C. can.
  • Conversation No. 7 and Conversation No. Set of 8 Conversation No. 9 and Conversation No.
  • a set of 10 is a question for evaluating the "logical coherence" of the test subject's "logical thinking".
  • the decision-making ability determination unit 238 determines that the customer C has the ability of "logical thinking" from the positive-positive correspondence of the text data of the utterance of the employee-customer C. (affirmative) can be determined.
  • Conversation No. 9 is a question from a staff member to evaluate the test subject's selection. 10 is a reply to it from customer C. Conversation No. Conversation No. 9 responded to the question, "Why don't you try investing in an investment trust?" At 10, customer C answers, "Let's invest in an investment trust.” Therefore, the decision-making ability determination unit 238 (the text analysis unit 232 or the determination unit 233) determines that the customer C has made a "statement of choice" (positive) based on the text data of the customer C's answer. can judge.
  • the decision-making ability determination unit 238 determines that Customer C's "understanding”, “recognition”, “logical thinking”, and “expression of choice” are all affirmative. Therefore, based on this judgment result, customer C can decide that it is sufficient to recommend the use of financial products (in this example, investment trusts) to the person being inspected. You can move on to the introduction of financial products.
  • the decision-making ability evaluation device 20 of the present embodiment in the decision-making process of purchasing a product or using a service, the decision-making ability evaluation device 20 can provide questions and answer candidates that can confirm necessary literacy according to transactions.
  • the solicitor uses the inspection terminal 10 to explain the use of the product to the person to be inspected, who is the customer, and records the situation in real time while recording biometric information (voice data). It is possible to visualize (text, digitize) and judge whether the customer has decision-making ability on the spot. can be confirmed quickly and with high accuracy.
  • evaluation of decision-making ability using eye movement data In addition to or instead of evaluation of the subject's "understanding” explained in (1) Evaluation of decision-making ability using text data
  • the decision-making ability evaluation device may evaluate the "understanding” of the test subject using the eye movement data of the test subject. In addition to the evaluation of decision-making ability using the text data in (1) above, if the subject's "understanding” is also evaluated using eye movement data, the accuracy of the "understanding” evaluation will be further improved. be able to.
  • the inspector's question includes an instruction to have the inspected person read a document related to the use of goods or services.
  • the decision-making ability evaluation apparatus 20 captures images of the person to be examined in time series with the imaging device 18 of the examination terminal 10, and acquires the image data of the person to be examined that is transmitted from the examination terminal 10 in real time. to obtain.
  • the line-of-sight measurement unit 236 analyzes the face image data of the inspection subject acquired by the image data acquisition unit 235, extracts the movement of the eyes (line-of-sight trajectory), and measures the line-of-sight trajectory.
  • the determination unit 233 determines the “understanding” of the person to be examined based on the measurement result of the line-of-sight trajectory received from the line-of-sight measurement unit 236 . That is, the determination unit 233 uses short-term memory ( (whether or not the examiner's cognitive function is declining).
  • the red line shows the trajectory of the examinee's line of sight measured by the line of sight measurement unit 236 at each time when the user is reading the terms of use 40 .
  • the terms of use 40 may be a paper terms of use, or may be a terms of use of electronic data displayed on the display unit 25 .
  • the line-of-sight position estimated from the eye movement is described by a coordinate position (hereinafter referred to as line-of-sight position) on the screen of the display unit 25 of the decision-making ability evaluation device 20 .
  • line-of-sight position a coordinate position
  • FIGS. 16B and 16C are schematic diagrams showing temporal changes in line-of-sight position numbers.
  • FIG. 16(B) shows a schematic diagram of a change in the line-of-sight position of a healthy person
  • FIG. 16(C) shows a change in the line-of-sight position of a person with impaired cognitive function and memory.
  • the ability of short-term memory using the gaze position is determined whether a word that the gaze stays for a certain time or more is a period-specific word. is determined by whether or not the person to be examined can speak.
  • Classify time-series data by short-term memory ability Represent each data in a multidimensional space.
  • short-term memory ability can be estimated from the time-series data.
  • the time-series data of gaze trajectories are classified into three categories: healthy subjects, MCI patients, and dementia patients.
  • the time-series data of the line-of-sight trajectories of the healthy subject, the MCI patient, and the dementia patient are stored in the data management unit 234 or the storage unit 24 of the decision-making ability evaluation device 20 .
  • These data are used as reference data of the trajectory of the line of sight, and the determination unit 233 compares the reference data with the time-series data of the trajectory of the line of sight of the test subject to determine whether or not the test subject understands (short-term memory). Evaluation can be based on criteria for patients with cognitive impairment.
  • Any method that evaluates cognitive function based on eye movement may be used to evaluate cognitive function based on the line of sight trajectory estimated from eye movement. See, for example, the eye-tracking cognitive assessment method described in Sci Rep. 2019 Sep 10;9(1):12932. doi: 10.1038/s41598-019-49275-x.
  • evaluation of decision-making ability using face direction data In addition to or instead of evaluation of the subject's "understanding” explained in (1) Evaluation of decision-making ability using text data
  • the decision-making ability evaluation device may evaluate the "understanding" of the test subject using the face direction data of the test subject. In addition to the evaluation of decision-making ability using the text data in (1) above, if the subject's "understanding” is also evaluated using the face direction data, the accuracy of the "understanding” evaluation will be further improved. be able to.
  • the inspector's question includes an instruction to have the inspected person read a document related to the use of goods or services.
  • the decision-making ability evaluation apparatus 20 captures images of the subject in time series with the imaging device 18 of the inspection terminal 10 , and acquires the image data transmitted from the inspection terminal 10 in real time by the image data acquisition unit 235 .
  • the image data acquisition unit 235 acquires the data.
  • the face orientation measurement unit 237 analyzes the image data of the face of the person to be inspected acquired by the image data acquisition unit 235, and measures the orientation of the face.
  • the determination unit 233 determines the “understanding” of the person to be examined based on the face direction measurement result received from the face direction measurement unit 237 . In other words, based on the temporal change in the direction of the face of the test subject while receiving questions about the use of products or services, the evaluation of the test subject's understanding of short-term memory or not).
  • the criteria for determination can be set as appropriate. can be determined based on A healthy person spends a long time in which the angle of the face orientation approximates the reference angle. On the other hand, as the strength of attention decreases, the time period during which the orientation of the face of the person to be examined deviates from the reference angle increases.
  • the face is extracted from the captured video image, and the time when the face is facing the terminal is used as a reference. Describe the deviation of the orientation of the face from the reference in terms of the angle of rotation. In the case of a healthy person, when explaining an important matter, the angle of the face orientation approximates the reference angle for a long period of time. However, as the strength of attention decreases, the time during which the angle of the orientation of the face deviates from the reference angle increases. Focus on this feature.
  • the face direction measurement unit 237 describes the temporal change in the angle of the face direction per unit time as time-series data.
  • short-term memory ability can be estimated from the time-series data.
  • the time-series data of face orientation is classified into three categories: healthy subjects, MCI patients, and dementia patients.
  • the time-series data of the face orientations of the healthy subject, the MCI patient, and the dementia patient are stored in the data management unit 234 or the storage unit 24 of the decision-making ability evaluation device 20 .
  • These data are used as reference data for the orientation of the face, and the determination unit 233 compares the reference data with the time-series data of the orientation of the face of the examination subject to determine the presence or absence of understanding (short-term memory) of the examination subject. Evaluation can be based on criteria for patients with cognitive impairment.
  • Any method may be used to evaluate cognitive functions based on facial expressions. See, e.g., 2021 Jan 25;13(2):1765-1772, DOI 10.18632/aging.202545, Facial Expression-Based Cognitive Assessment Method Using AI.
  • an inspector who operates the inspection terminal 10 for example, a doctor who inspects the person to be inspected, asks the person to be inspected questions prepared in advance.
  • Test questions are, for example, as described above.
  • the inspection subject's answer to the question is recorded by the inspector or the inspection subject operating the inspection terminal 10.
  • FIG. 17 is a flowchart showing the flow of processing executed by the inspection terminal 10 of this embodiment.
  • the processing shown in FIG. 17 is executed by the control unit 13 as a program that is activated when the examiner instructs the start of recording.
  • the control unit 13 acquires voice data input via the microphone 17 and controls the control unit 13 By recording in the memory or storage unit 104 provided in the, the uttered voice of the person to be examined is recorded (S10).
  • the inspector operates the operation unit 11 to instruct the control unit 13 to start the inspection of the person to be inspected.
  • the instruction to start the examination may be given to the control unit 13 only when the question to the person to be examined is finished and the answer from the person to be examined is obtained, or at any time after the examination is started. you can go
  • the control unit 13 of the test terminal 10 determines that there is an instruction to start the test (S20)
  • it transmits the recorded voice data indicating the content of the test subject's utterance to the decision-making ability evaluation device 20 via the communication connection unit 12.
  • Send S30.
  • the control unit 23 receives the speech data of the test subject's utterance content from the test terminal 10, the test subject's decision-making ability evaluation process is started.
  • the determination processing executed by the control unit 23 will be described later.
  • the control unit 13 of the inspection terminal 10 receives the determination result (S40), The determination result is output to the display device 15 (S50).
  • the control unit 13 displays the contents on the display device 15 when it is determined that the person to be examined has the decision-making ability to use the product or service.
  • the control unit 13 displays the content on the display device 15 . This allows the inspector to grasp whether or not the person to be inspected has the decision-making ability to use the product or service.
  • FIG. 18 is a flow chart showing the flow of processing executed by the decision-making ability evaluation device 20 of this embodiment.
  • the processing shown in FIG. 18 is executed by the control unit 23 as a program that is activated when the voice data of the utterance content of the person to be inspected is received from the inspection terminal 10 .
  • the test subject will answer by voice while receiving questions about the use of the product or service.
  • the control unit 23 of the decision-making ability evaluation apparatus 20 acquires the speech data of the person to be examined by receiving the speech data of the speech content of the person to be examined from the examination terminal 10 (S110).
  • the conversion unit 231 performs voice recognition on the voice data of the inspector's utterance and the voice data of the inspection subject's utterance acquired by the voice data acquisition unit 230, and converts each utterance into text data in a form that can be specified. (S120).
  • the determination unit 233 determines the decision-making ability of the person to be inspected regarding the use of products or services based on the text data converted by the conversion unit 231 (S130). For details of determination of the decision-making ability of the test subject to use products or services by the decision-making ability evaluation device 20, see “2. Evaluation of the test subject by the decision-making ability evaluation device or the decision-making ability evaluation system". "(1) Evaluation of decision-making ability using text data" "(2) Evaluation of decision-making ability using eye movement data” "(3) Evaluation of decision-making ability using face orientation data” , as explained in detail.
  • control unit 23 transmits the determination result obtained by the determination process to the inspection terminal 10 via the communication connection unit 22 (S140). After that, the process ends.
  • the control unit 23 acquires, from the inspection terminal 10, utterances or answers to questions regarding the use of goods or services of the person being inspected as voice data, and determines the decision-making ability of the person being inspected in using the goods or services. I made it Since the questions are about the test subject's use of goods or services, unlike simple diagnosis of cognitive function, the test subject's decision-making ability in response to the test subject's use of the product or service can be quickly and more accurately evaluated. Highly accurate evaluation is possible.
  • the control unit 23 determines whether or not there is "understanding”, “recognition”, "logical thinking", and "expression of choice", so that the person to be examined has decision-making ability regarding the use of goods or services.
  • the present invention is not limited to the embodiments described above, and the following various modifications are possible.
  • Questions regarding the use of products or services are not limited to those issued by the examiner, and may be issued by another person, or stored in the data management unit 234 or the storage unit 24 of the decision-making ability evaluation device 20. and may be automatically read by an instruction from the control unit 23 at appropriate times.
  • the test terminal 10 and the decision-making ability evaluation device 20 are connected for communication, and the control unit 23 of the decision-making ability evaluation device 20 receives the test subject's utterance voice data from the test terminal 10. received and performed the decision-making ability of the test subject.
  • the decision-making ability evaluation device 20 may be used alone. For example, as shown in FIG.
  • a decision-making ability evaluation device 20 includes an operation unit 21, a speaker 2, a microphone 27, and an imaging device .
  • the examiner operates the decision-making ability evaluation device 20 to input speech data of the person to be examined into the decision-making ability evaluation device 20, instruct the start of the determination process, and the control unit 23 outputs the determination result. You may make it output to the display apparatus 25 of the decision-making ability evaluation apparatus 20, and display it.
  • the decision-making ability evaluation device 20 alone, it can be used as a stand-alone device.
  • the person to be inspected operates the inspection terminal 10, and the inspector is equipped with a second inspection terminal 30 separate from the inspection terminal 10, so that the inspection can be performed via a communication line such as the Internet.
  • the testing terminal 10 and the second testing terminal 30 can be connected for communication with each other, and can also be connected for communication with the decision-making ability evaluation device 20, so that a client-server type or cloud type determination system can be constructed.
  • the second inspection terminal 30 includes an operation unit 31, a communication connection unit 32, a control unit 33, a storage unit 34, a display device 35 such as a display, a speaker 36, and the like as described for the inspection terminal 10.
  • a microphone 37 and an imaging device 38 can be provided, and the inspection terminal 10 and the second inspection terminal 30 can interact through voice and images.
  • Criteria for judging whether a person to be tested has decision-making ability in the use of a product or service may be set as appropriate by a person skilled in the field of the product or service according to the content of the product or service. For example, in determining whether to purchase a financial product, a different threshold value may be set for each product.
  • the determination unit 233 may be omitted, and the text analysis unit 232 may perform determination processing performed by the determination unit 233 .
  • the decision-making ability evaluation device 20 may evaluate three of "understanding,””recognition,” and “logical thinking,” and “indication of choice” may be evaluated by a human examiner.
  • the decision-making ability evaluation device 20 may evaluate at least two of “understanding”, “recognition”, and “logical thinking”.
  • the decision-making ability evaluation device 20 may evaluate one of "understanding” and “recognition” and “logical thinking”.
  • the decision-making ability evaluation device 20 may evaluate three of "understanding”, “logical thinking", and “expression of choice", or two of "understanding” and “logical thinking", Both "recognition” and “logical thinking” may be evaluated.
  • the decision-making ability evaluation device 20 may evaluate any one of "understanding”, “recognition”, or “logical thinking”. (7) The decision-making ability evaluation device 20 can determine three of "understanding”, “recognition”, and “logical thinking", but the speech data of the test subject is used to evaluate the understanding of the test subject. "Understanding” may not be determined if it does not include the test subject's answer to the question. In this case, the test subject's voice data is the test subject's answer to the question for evaluating the test subject's recognition and the test subject's answer to the question for evaluating the test subject's logical thinking. If included, the decision-making ability evaluation device 20 judges two of "recognition” and "logical thinking".
  • test subject's voice data does not include the test subject's answer to the question for evaluating the test subject's recognition, "recognition” is not determined and the test subject's voice data "Logical thinking" may not be determined if it does not include the test subject's answers to questions for evaluating the subject's logical thinking.
  • Evaluation of (1) logical thinking and speculation about the result, (2) logical thinking for comparison, and (3) logical consistency of “logical thinking” is the evaluation of decision-making ability. Although preferred for accuracy, it is not necessary to evaluate all three. Any one or two of (1) to (3) may be evaluated.
  • a part of the extracted text (words and phrases) is stored in the storage unit 24, and the control unit 23 displays or displays it on the display unit 25 together with the determination result of the presence or absence and degree of decision-making ability. You may make it print on paper media, such as a check sheet and an interview record.
  • the decision-making ability evaluation device, the decision-making ability evaluation system, and the decision-making ability evaluation method of the present invention may be used for purposes other than the process from soliciting a certain product to deciding to purchase it.
  • (13) Using the decision-making ability evaluation device, the decision-making ability evaluation system, or the decision-making ability evaluation method of the present invention the data collected from the test subject in one decision-making ability evaluation is used for another decision-making ability evaluation. may be used for the future decision-making ability evaluation device, decision-making ability evaluation system, or decision-making ability evaluation method of the present invention, together with the data collected from the test subject.
  • the data linked in (13) above is saved as a log by either the decision-making ability evaluation device or the decision-making ability evaluation system, and the product content, judgment result, and / or incident , and such data sets can be used to quantify the complexity and complexity of transactions by product.
  • the data linked in (13) above is saved as a log by either the decision-making ability evaluation device or the decision-making ability evaluation system, and the product content, judgment result, and / or incident For example, if the determination result is negative, the litigation risk and the like can be learned by the decision-making ability evaluation device, so that the litigation risk prediction can be estimated using this data set.
  • the decision-making ability evaluation device 20 may be divided into a plurality of devices, and the speech data acquisition unit 230, the conversion unit 231, the text analysis unit 232, the determination unit 233, and the data management unit 234 of the decision-making ability determination unit 238 , the image acquisition unit 235, the line-of-sight measurement unit 236, and the face direction measurement unit 237 may be performed by a plurality of physically separated decision-making ability evaluation devices 20.
  • FIG. The present disclosure also includes the following embodiments. Section 1.
  • a decision-making ability evaluation device used to evaluate a person's decision-making ability in the use of goods or services a voice data acquisition unit that acquires voice data of a person to be tested from conversations related to the use of goods or services; a conversion unit that converts the voice data of the person to be examined acquired by the voice data acquisition unit into text data; a decision-making ability determination unit that determines the decision-making ability of a person to be inspected for use of goods or services based on the text data converted by the conversion unit;
  • the voice data of the person to be inspected is the test subject's answers to questions for evaluating the test subject's understanding; the test subject's responses to questions to assess the test subject's cognition; and the test subject's responses to questions to assess the test subject's reasoning; including at least two of When the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding, the determination of the decision-making ability by the decision-making ability determination unit includes the test subject's
  • the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's expression of choice; Judgment of decision-making ability by the decision-making ability judgment unit, 2. Decision-making according to paragraph 1, comprising determining the test subject's statement of choice based on text data obtained by converting the test subject's answer to a question for evaluating the test subject's statement of choice.
  • Ability evaluation device Item 3.
  • the determination of decision-making ability by the decision-making ability determination unit is performed by combining words with high frequency of co-occurrence in the text obtained by converting the voice data of the test subject's utterances in the dialogue related to the use of the product or service. Item 3.
  • the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding,
  • the questions for evaluating the test subject's comprehension include a first expression in a specific field and the frequency of occurrence with the expression, created using a machine learning model trained on text data related to current events.
  • Item 3 The apparatus for evaluating decision-making ability according to Item 1 or 2, which is a fill-in-the-blank question of the second expression in the sentence including the second expression with a high value.
  • the voice data acquisition unit includes a question for evaluating the recognition of the person being examined, and the person's answer to the question for evaluating the person's recognition,
  • the decision-making ability determination unit At least one same word appears in common between the text obtained by converting the voice data of the question for evaluating the recognition of the test subject and the text obtained by converting the voice data of the answer of the test subject.
  • a combination of co-occurrences of the commonly appearing word and another word in the text obtained by converting the voice data of the test subject's answer is a question for evaluating the recognition of the test subject. and that the word related to the test subject appears in the text obtained by converting the test subject's answer.
  • Item 5 A combination of co-occurrences of the commonly appearing word and another word in the text obtained by converting the voice data of the test subject's answer is a question for evaluating the recognition of the test subject. and that the word related to the test subject appears in the text obtained by converting the test subject's answer.
  • the decision-making ability evaluation device determines that the Item 6.
  • the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's logical thinking
  • the text data obtained by converting the test subject's answers to the questions for evaluating the test subject's logical thinking includes words representing comparison, or words representing presentation, paralleling, or enumeration of similar items. 5.
  • the decision-making ability evaluation device according to any one of 1 to 4.
  • a decision-making ability evaluation device used to evaluate a person's decision-making ability in the use of goods or services, a voice data acquisition unit that acquires voice data of a person to be tested from conversations related to the use of goods or services; a conversion unit that converts the voice data of the person to be examined acquired by the voice data acquisition unit into text data; a decision-making ability determination unit that determines the decision-making ability of a person to be inspected for use of goods or services based on the text data converted by the conversion unit;
  • a decision-making ability evaluation device comprising The determination of decision-making ability by the decision-making ability determination unit is performed by combining words with high frequency of co-occurrence in the text obtained by converting the voice data of the test subject's utterances in the dialogue related to the use of the product or service.
  • a decision-making ability assessment device that includes determining that a test subject "understands” if it is being awakened.
  • Item 9 A decision-making ability evaluation device used to evaluate a person's decision-making ability in the use of goods or services, a voice data acquisition unit that acquires voice data of a person to be tested from conversations related to the use of goods or services; a conversion unit that converts the voice data of the person to be examined acquired by the voice data acquisition unit into text data; a decision-making ability determination unit that determines the decision-making ability of a person to be inspected for use of goods or services based on the text data converted by the conversion unit;
  • the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding, The questions for evaluating the test subject's comprehension include a first expression in a specific field and the frequency of occurrence with the expression, created using a machine learning model trained on text data related to current events.
  • a decision-making ability evaluation device which is a fill-in-the-blank question of a second expression in sentences containing a second expression with a high value.
  • Item 10 A decision-making ability evaluation device used to evaluate a person's decision-making ability in the use of goods or services, a voice data acquisition unit that acquires voice data of a person to be tested from conversations related to the use of goods or services; a conversion unit that converts the voice data of the person to be examined acquired by the voice data acquisition unit into text data; a decision-making ability determination unit that determines the decision-making ability of a person to be inspected for use of goods or services based on the text data converted by the conversion unit;
  • the voice data acquisition unit includes a question for evaluating the recognition of the person being examined, and the person's answer to the question for evaluating the person's recognition, The decision-making ability determination unit, At least one same word appears in common between the text obtained by converting the voice data of the question for evaluating the recognition of the test
  • a combination of co-occurrences of the commonly appearing word and another word in the text obtained by converting the voice data of the test subject's answer is a question for evaluating the recognition of the test subject. and that the word related to the test subject appears in the text obtained by converting the test subject's answer.
  • a decision-making ability evaluation device that judges that Item 11.
  • a decision-making ability evaluation device used to evaluate a person's decision-making ability in the use of goods or services a voice data acquisition unit that acquires voice data of a person to be tested from conversations related to the use of goods or services; a conversion unit that converts the voice data of the person to be examined acquired by the voice data acquisition unit into text data; a decision-making ability determination unit that determines the decision-making ability of a person to be inspected for use of goods or services based on the text data converted by the conversion unit;
  • the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's logical thinking
  • the text data obtained by converting the test subject's answers to the questions for evaluating the test subject's logical thinking includes words representing comparison, or words representing presentation, paralleling, or enumeration of similar things.
  • a decision-making ability evaluation device used to evaluate a person's decision-making ability in the use of goods or services, a voice data acquisition unit that acquires voice data of a person to be tested from conversations related to the use of goods or services; a conversion unit that converts the voice data of the person to be examined acquired by the voice data acquisition unit into text data; a decision-making ability determination unit that determines the decision-making ability of a person to be inspected for use of goods or services based on the text data converted by the conversion unit; In a decision-making ability evaluation device comprising Judgment of decision-making ability by the decision-making ability judgment unit, Based on whether the contents of the text data converted from the question for evaluating the understanding of the test subject and the text data converted from the test subject's answer to it are positive or negative, A decision-making ability assessment device that includes judging logical thinking.
  • the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding, questions for assessing the subject's comprehension include instructions for the subject to read a document related to the use of goods or services;
  • the decision-making ability evaluation device an image acquisition unit that acquires image data of a person to be inspected; further comprising a line-of-sight measurement unit that analyzes the image data of the face of the inspection subject acquired by the image acquisition unit and measures the trajectory of the line of sight; 2.
  • the decision-making ability evaluation device according to item 1, wherein the decision-making ability determination unit determines the understanding of the person being examined based on the measurement result of the line-of-sight trajectory received from the line-of-sight measurement unit.
  • the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding, questions for assessing the subject's comprehension include instructions for the subject to read a document related to the use of goods or services;
  • the decision-making ability evaluation device an image acquisition unit that acquires image data of a person to be inspected; further comprising a face orientation measurement unit that analyzes the image data of the face of the person to be inspected acquired by the image acquisition unit and measures the orientation of the face; 2.
  • Item 15. Item 15.
  • a decision-making ability evaluation system for evaluating the decision-making ability of an inspected person in using a product or service, comprising: an inspection terminal; and a decision ability evaluation device, The decision-making ability evaluation system, wherein the speech data acquisition unit of the decision-making ability evaluation device acquires the examination subject's speech data from a dialogue related to use of the product or service received from the examination terminal.
  • Item 16 A decision-making ability evaluation system for evaluating the decision-making ability of an inspected person in using a product or service, comprising: an inspection terminal; and a decision ability evaluation device, The decision-making ability evaluation system, wherein the speech data acquisition unit of the decision-making ability evaluation device acquires the examination subject's speech data from a dialogue related to use of the product or service received from the examination terminal.
  • a decision-making ability evaluation program used to evaluate a person's decision-making ability in the use of goods or services comprising: a voice data acquisition unit that acquires voice data of a person to be tested from conversations related to the use of goods or services; a conversion unit that converts the voice data of the person to be examined acquired by the voice data acquisition unit into text data; a decision-making ability determination unit that determines the decision-making ability of a person to be inspected for use of goods or services based on the text data converted by the conversion unit;
  • the voice data of the person to be inspected is the test subject's answers to questions for evaluating the test subject's understanding; the test subject's responses to questions to assess the test subject's cognition; and the test subject's responses to questions to assess the test subject's reasoning; including at least two of When the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding, the determination of the decision-making ability by the decision-making ability determination unit includes
  • the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's expression of choice;
  • the judgment of decision-making ability by the decision-making ability judging unit is based on text data obtained by converting the test subject's answers to questions for evaluating the test subject's expression of selection.
  • the decision-making ability evaluation program according to Item 16 comprising determining the.
  • the determination of decision-making ability by the decision-making ability determination unit is performed by combining words with high frequency of co-occurrence in the text obtained by converting the voice data of the test subject's utterances in the dialogue related to the use of the product or service. 18.
  • a decision-making ability assessment program according to clause 16 or 17, comprising determining that the test subject understands if aroused.
  • the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding,
  • the questions for evaluating the test subject's comprehension include a first expression in a specific field and the frequency of occurrence with the expression, created using a machine learning model trained on text data related to current events.
  • the voice data acquisition unit includes a question for evaluating the recognition of the person being examined, and the person's answer to the question for evaluating the person's recognition,
  • the decision-making ability determination unit At least one same word appears in common between the text obtained by converting the voice data of the question for evaluating the recognition of the test subject and the text obtained by converting the voice data of the answer of the test subject.
  • a combination of co-occurrences of the commonly appearing word and another word in the text obtained by converting the voice data of the test subject's answer is a question for evaluating the recognition of the test subject. and that the word related to the test subject appears in the text obtained by converting the test subject's answer.
  • the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's logical thinking
  • the text data obtained by converting the test subject's answers to the questions for evaluating the test subject's logical thinking includes words representing comparison, or words representing presentation, paralleling, or enumeration of similar items. 19.
  • the decision-making ability evaluation program according to any one of 16-19. Item 22.
  • the determination of decision-making ability by the decision-making ability determination unit is based on the content of the text data converted from the question for evaluating the understanding of the test subject and the text data converted from the test subject's answer to the question, 20.
  • a decision-making ability evaluation program used to evaluate a person's decision-making ability in the use of goods or services, the computer comprising: a voice data acquisition unit that acquires voice data of a person to be tested from conversations related to the use of goods or services; a conversion unit that converts the voice data of the person to be examined acquired by the voice data acquisition unit into text data; a decision-making ability determination unit that determines the decision-making ability of a person to be inspected for use of goods or services based on the text data converted by the conversion unit; In the decision-making ability evaluation program that functions as The determination of decision-making ability by the decision-making ability determination unit is performed by combining words with high frequency of co-occurrence in the text obtained by converting the voice data of the test subject's utterances in the dialogue related to the use of the product or service.
  • a decision-making ability assessment program that includes determining that the test subject "understands” when being awakened.
  • Item 24 A decision-making ability evaluation program used to evaluate a person's decision-making ability in the use of goods or services, the computer comprising: a voice data acquisition unit that acquires voice data of a person to be tested from conversations related to the use of goods or services; a conversion unit that converts the voice data of the person to be examined acquired by the voice data acquisition unit into text data; a decision-making ability determination unit that determines the decision-making ability of a person to be inspected for use of goods or services based on the text data converted by the conversion unit;
  • the decision-making ability evaluation program that functions as The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding, The questions for evaluating the test subject's comprehension include a first expression in a specific field and the frequency of occurrence with the expression, created using a machine learning model trained on text data related to current events.
  • a program for assessing decision-making ability which is a fill-in-the-blank question of the second expression of sentences containing the second expression with a high .
  • Item 25 A decision-making ability evaluation program used to evaluate a person's decision-making ability in the use of goods or services, the computer comprising: a voice data acquisition unit that acquires voice data of a person to be tested from conversations related to the use of goods or services; a conversion unit that converts the voice data of the person to be examined acquired by the voice data acquisition unit into text data; a decision-making ability determination unit that determines the decision-making ability of a person to be inspected for use of goods or services based on the text data converted by the conversion unit;
  • the voice data acquisition unit includes a question for evaluating the recognition of the person being examined, and the person's answer to the question for evaluating the person's recognition, The decision-making ability determination unit, At least one same word appears in common between the text obtained by converting the voice data of the question for
  • a combination of co-occurrences of the commonly appearing word and another word in the text obtained by converting the voice data of the test subject's answer is a question for evaluating the recognition of the test subject. and that the word related to the test subject appears in the text obtained by converting the test subject's answer.
  • a decision-making ability assessment program that determines Item 26.
  • a decision-making ability evaluation program used to evaluate a person's decision-making ability in the use of goods or services comprising: a voice data acquisition unit that acquires voice data of a person to be tested from conversations related to the use of goods or services; a conversion unit that converts the voice data of the person to be examined acquired by the voice data acquisition unit into text data; a decision-making ability determination unit that determines the decision-making ability of a person to be inspected for use of goods or services based on the text data converted by the conversion unit;
  • the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's logical thinking
  • the text data obtained by converting the test subject's answers to the questions for evaluating the test subject's logical thinking includes words representing comparison, or words representing presentation, paralleling, or enumeration of similar things.
  • a decision-making ability evaluation program used to evaluate a person's decision-making ability in the use of goods or services comprising: a voice data acquisition unit that acquires voice data of a person to be tested from conversations related to the use of goods or services; a conversion unit that converts the voice data of the person to be examined acquired by the voice data acquisition unit into text data; a decision-making ability determination unit that determines the decision-making ability of a person to be inspected for use of goods or services based on the text data converted by the conversion unit;
  • In the decision-making ability evaluation program that functions as The determination of decision-making ability by the decision-making ability determination unit is based on the content of the text data converted from the question for evaluating the understanding of the test subject and the text data converted from the test subject's answer to the question,
  • a decision-making ability assessment program that includes judging a test subject's reasoning on the basis of being positive or negative.
  • the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding, questions for assessing the subject's comprehension include instructions for the subject to read a document related to the use of goods or services;
  • the decision-making ability evaluation program causes the computer to: an image acquisition unit that acquires image data of a person to be inspected; further functions as a line-of-sight measurement unit that analyzes the image data of the face of the inspection subject acquired by the image acquisition unit and measures the trajectory of the line of sight; 17.
  • the decision-making ability evaluation program according to item 16, wherein the decision-making ability determination unit determines the comprehension of the test subject based on the measurement result of the line-of-sight trajectory received from the line-of-sight measurement unit.
  • the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding, questions for assessing the subject's comprehension include instructions for the subject to read a document related to the use of goods or services;
  • the decision-making ability evaluation program causes the computer to: an image acquisition unit that acquires image data of a person to be inspected; analyzing the image data of the face of the person to be inspected acquired by the image acquisition unit and further functioning as a face orientation measurement unit for measuring the orientation of the face; 17.
  • the decision-making ability evaluation program according to Item 16, wherein the decision-making ability determination unit determines the comprehension of the test subject based on the face orientation measurement result received from the face orientation measurement unit.
  • Item 30 A recording medium recording the decision-making ability evaluation program according to any one of Items 16 to 29.

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Abstract

A decision-making ability evaluation device 20 for use in evaluating the decision-making ability of a test subject regarding the use of a product or a service is provided with: a voice data acquisition unit 230 that acquires voice data of a test subject from an interaction related to the use of a product or a service; a conversion unit 231 that converts the voice data of the test subject acquired by the voice data acquisition unit 230 into text data; and a determination unit 233 that determines the decision-making ability of the test subject regarding the use of the product or the service on the basis of the text data obtained by the conversion performed by the conversion unit 231.

Description

意思決定能力評価装置、システム、及びプログラムDecision-making ability evaluation device, system, and program
 本発明は、検査対象者の意思決定能力を評価するための意思決定能力評価装置、システム、及びプログラムに関する。 The present invention relates to a decision-making ability evaluation device, system, and program for evaluating the decision-making ability of test subjects.
 高齢化の進展に伴い、高齢者の経済活動に関する問題が浮上してきている。高齢者が日常生活を営む上で最も重要な能力を経済行為能力といい、経済行為能力には食品や日用品の購入や金融機関の利用といった日常的な行為、不動産売買やローンや保険等の契約、書面による契約締結を伴う重要な財産行為が含まれるが、この経済行為能力の低下により、高齢者が詐欺や不当契約等のトラブルに巻き込まれるリスクが増大している。 With the progress of the aging population, problems related to the economic activities of the elderly are emerging. Economic capacity is the most important ability for the elderly to carry out their daily lives. Economic capacity includes daily activities such as purchasing food and daily necessities, using financial institutions, buying and selling real estate, making loans and making insurance contracts, etc. However, due to this decline in economic capacity, the risk of elderly people being involved in troubles such as fraud and unfair contracts is increasing.
 一方で、高齢者がある金融商品を購入した後で、銀行側の説明の時には意思能力については問題がないと判断して取引を行ったが、後に認知症であったという診断書が家族から提出される等のトラブルもある。 On the other hand, after an elderly person purchased a financial product, the bank explained that there was no problem with mental capacity and made the transaction. There are also problems such as being submitted.
 例えば特許文献1は、ビデオ会議システムを介した検査者と検査対象者との間のビデオ及び音声による双方向の対話に基づいて検査対象者の検査データを取得し、検査データから意思能力判定用データを作成し、検査対象者の経済活動における意思能力判定用データと、検査対象者の金融リテラシーのスコアとの両方に基づいて、検査対象者の経済活動における意思決定能力を遠隔評価するシステム及び方法について開示している。 For example, Patent Literature 1 acquires examination data of an examination subject based on a two-way video and voice dialogue between an examiner and an examination subject via a video conference system, and uses the examination data to determine mental capacity. A system that creates data and remotely evaluates the decision-making ability in economic activities of the test subject based on both the data for judging mental capacity in economic activities of the test subject and the financial literacy score of the test subject; It discloses how.
特許第6253573号Patent No. 6253573
 特許文献1における検査対象者の検査データは、検査者と検査対象者との間のビデオ及び音声による双方向の対話において検査対象者が回答した内容を、検査者側で記録して作成しているものである。また、検査対象者が金融リテラシーを有するかどうかの評価には、金融リテラシーのスコアが意思能力判定用データとは別に必要である。 The test data of the test subject in Patent Document 1 is created by recording the content of the test subject's answers in the two-way video and voice dialogue between the test subject and the test subject. There is. In addition, the financial literacy score is required separately from the data for judging mental capacity in order to evaluate whether or not the test subject has financial literacy.
 本発明が解決すべき課題は、商品又はサービスの利用に関する質問に対して発話された検査対象者の音声データをリアルタイムで取得し、かかる音声データを用いて検査対象者の商品又はサービスの利用の意思決定能力を判定する、意思決定能力評価装置、システム、及びプログラムを提供することにある。 The problem to be solved by the present invention is to obtain, in real time, voice data of a test subject uttered in response to a question about the use of a product or service, and use the voice data to explain the use of the test subject's product or service. An object of the present invention is to provide a decision-making ability evaluation device, system, and program for determining decision-making ability.
項1.商品又はサービスの利用における検査対象者の意思決定能力を評価するために使用される意思決定能力評価装置であって、
 商品又はサービスの利用に関連する対話から、検査対象者の音声データを取得する音声データ取得部と、
 前記音声データ取得部により取得された検査対象者の音声データをテキストデータに変換する変換部と、
 前記変換部により変換されたテキストデータに基づいて、検査対象者の商品又はサービスの利用の意思決定能力を判定する意思決定能力判定部と、
を備える意思決定能力評価装置において、
 前記検査対象者の音声データは、
 前記検査対象者の理解を評価するための質問に対する検査対象者の回答、
 前記検査対象者の認識を評価するための質問に対する検査対象者の回答、および
 前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答、
のうちの少なくとも2つを含み、
 前記検査対象者の音声データが前記検査対象者の理解を評価するための質問に対する検査対象者の回答を含む場合には、前記意思決定能力判定部による意思決定能力の判定は、前記検査対象者の理解を評価するための質問に対する検査対象者の回答を変換したテキストデータに基づいて、検査対象者の理解を判定することを含み、
 前記検査対象者の音声データが前記検査対象者の認識を評価するための質問に対する検査対象者の回答を含む場合には、前記意思決定能力判定部による意思決定能力の判定は、前記検査対象者の認識を評価するための質問に対する検査対象者の回答を変換したテキストデータに基づいて、検査対象者の認識を判定することを含み、及び
 前記検査対象者の音声データが前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答を含む場合には、前記意思決定能力判定部による意思決定能力の判定は、前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答を変換したテキストデータに基づいて、検査対象者の論理的思考を判定することを含む、意思決定能力評価装置。
項2.前記検査対象者の音声データは、検査対象者の選択の表明を評価するための質問に対する検査対象者の回答を含み、
 前記意思決定能力判定部による意思決定能力の判定は、
 前記検査対象者の選択の表明を評価するための質問に対する検査対象者の回答を変換したテキストデータに基づいて、検査対象者の選択の表明を判定することを含む、項1に記載の意思決定能力評価装置。
項3.前記意思決定能力判定部による意思決定能力の判定は、商品又はサービスの利用に関連する対話における検査対象者の発話の音声データを変換したテキスト中に、共起される頻度が高い単語同士が共起されている場合に、検査対象者が理解していると判定することを含む、項1または2に記載の意思決定能力評価装置。
項4.前記検査対象者の音声データは、検査対象者の理解を評価するための質問に対する検査対象者の回答を含み、
 前記検査対象者の理解を評価するための質問は、時事に関連するテキストデータで学習された機械学習モデルを用いて作成された、特定の分野の第1の表現と、前記表現と共に出現する頻度が高い第2の表現とを含む文章のうちの第2の表現の穴埋め問題である、項1または2に記載の意思決定能力評価装置。
項5.音声データ取得部は、検査対象者の認識を評価するための質問と、前記検査対象者の認識を評価するための質問に対する検査対象者の回答とを含み、
 前記意思決定能力判定部は、
 前記検査対象者の認識を評価するための質問の音声データを変換したテキストと、前記検査対象者の回答の音声データを変換したテキストとに、少なくとも一つ同じ単語が共通して出現していること、
 前記検査対象者の回答の音声データを変換したテキスト中の、前記共通して出現している単語と別の単語との共起の組み合わせが、前記検査対象者の認識を評価するための質問中の、前記共通して出現している単語と別の単語との共起の組み合わせと異なっていること、及び
 検査対象者に関連する単語が前記検査対象者の回答を変換したテキスト中に出現していること
を判定する、項1~4のいずれか一項に記載の意思決定能力評価装置。
項6.前記検査対象者の音声データは、前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答を含み、
 前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答を変換したテキストデータが、比較を表す単語、又は類似した事物の提示、並列、もしくは列挙を示す単語を含む、項1~4のいずれか一項に記載の意思決定能力評価装置。
項7.前記意思決定能力判定部による意思決定能力の判定は、
 前記検査対象者の理解を評価するための質問を変換したテキストデータと、それに対する検査対象者の回答を変換したテキストデータとの内容が、ポジティブかネガティブであるかに基づいて、検査対象者の論理的思考を判定することを含む、項1~4のいずれか一項に記載の意思決定能力評価装置。
項8.前記検査対象者の音声データは、前記検査対象者の理解を評価するための質問に対する検査対象者の回答を含み、
 前記検査対象者の理解を評価するための質問は、商品又はサービスの利用に関連する文書を前記検査対象者に読ませる指示を含み、
 前記意思決定能力評価装置は、
 検査対象者の画像データを取得する画像取得部と、
 前記画像取得部により取得された検査対象者の顔の画像データを解析して、視線の軌跡を測定する視線測定部をさらに含み、
 前記意思決定能力判定部は、前記視線測定部から受信した視線の軌跡の測定結果に基づいて、検査対象者の理解を判定する項1に記載の意思決定能力評価装置。
項9.前記検査対象者の音声データは、前記検査対象者の理解を評価するための質問に対する検査対象者の回答を含み、
 前記検査対象者の理解を評価するための質問は、商品又はサービスの利用に関連する文書を前記検査対象者に読ませる指示を含み、
 前記意思決定能力評価装置は、
 検査対象者の画像データを取得する画像取得部と、
 前記画像取得部により取得された検査対象者の顔の画像データを解析して、顔の向きを測定する顔向き測定部をさらに含み、
 前記意思決定能力判定部は、前記顔向き測定部から受信した顔の向きの測定結果に基づいて、検査対象者の理解を判定する項1に記載の意思決定能力評価装置。
項10.商品又はサービスの利用における検査対象者の意思決定能力を評価するための意思決定能力評価システムであって、検査端末と、前記検査端末と通信接続された項1~9のいずれか一項に記載の意思決定能力評価装置とを備え、
 前記意思決定能力評価装置の音声データ取得部は、前記検査端末から受信した商品又はサービスの利用に関連する対話から、検査対象者の音声データを取得する、意思決定能力評価システム。
Section 1. A decision-making ability evaluation device used to evaluate a person's decision-making ability in the use of goods or services,
a voice data acquisition unit that acquires voice data of a person to be tested from conversations related to the use of goods or services;
a conversion unit that converts the voice data of the person to be examined acquired by the voice data acquisition unit into text data;
a decision-making ability determination unit that determines the decision-making ability of a person to be inspected for use of goods or services based on the text data converted by the conversion unit;
In a decision-making ability evaluation device comprising
The voice data of the person to be inspected is
the test subject's answers to questions for evaluating the test subject's understanding;
the test subject's responses to questions to assess the test subject's cognition; and the test subject's responses to questions to assess the test subject's reasoning;
including at least two of
When the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding, the determination of the decision-making ability by the decision-making ability determination unit includes the test subject's Including determining the understanding of the test subject based on the text data converted from the test subject's answers to the questions for evaluating the understanding of
When the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's recognition, the determination of the decision-making ability by the decision-making ability determination unit includes the test subject's Determining the recognition of the test subject based on text data converted from the test subject's answers to questions for evaluating the recognition of the test subject, and When the test subject's answers to questions for evaluating logical thinking are included, the determination of decision-making ability by the decision-making ability determination unit is based on the examination of questions for evaluating the logical thinking of the test subject. A decision-making ability evaluation device including determining the logical thinking of a test subject based on text data obtained by converting the subject's answer.
Section 2. the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's expression of choice;
Judgment of decision-making ability by the decision-making ability judgment unit,
2. Decision-making according to paragraph 1, comprising determining the test subject's statement of choice based on text data obtained by converting the test subject's answer to a question for evaluating the test subject's statement of choice. Ability evaluation device.
Item 3. The determination of decision-making ability by the decision-making ability determination unit is performed by combining words with high frequency of co-occurrence in the text obtained by converting the voice data of the test subject's utterances in the dialogue related to the use of the product or service. Item 3. The apparatus for evaluating decision-making ability according to Item 1 or 2, including determining that the test subject understands if the test subject is awakened.
Section 4. The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding,
The questions for evaluating the test subject's comprehension include a first expression in a specific field and the frequency of occurrence with the expression, created using a machine learning model trained on text data related to current events. Item 3. The apparatus for evaluating decision-making ability according to Item 1 or 2, which is a fill-in-the-blank question of the second expression in the sentence including the second expression with a high value.
Item 5. The voice data acquisition unit includes a question for evaluating the recognition of the person being examined, and the person's answer to the question for evaluating the person's recognition,
The decision-making ability determination unit,
At least one same word appears in common between the text obtained by converting the voice data of the question for evaluating the recognition of the test subject and the text obtained by converting the voice data of the answer of the test subject. matter,
A combination of co-occurrences of the commonly appearing word and another word in the text obtained by converting the voice data of the test subject's answer is a question for evaluating the recognition of the test subject. and that the word related to the test subject appears in the text obtained by converting the test subject's answer. Item 5. The decision-making ability evaluation device according to any one of items 1 to 4, which determines that the
Item 6. The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's logical thinking,
The text data obtained by converting the test subject's answers to the questions for evaluating the test subject's logical thinking includes words representing comparison, or words representing presentation, paralleling, or enumeration of similar items. 5. The decision-making ability evaluation device according to any one of 1 to 4.
Item 7. Judgment of decision-making ability by the decision-making ability judgment unit,
Based on whether the contents of the text data converted from the question for evaluating the understanding of the test subject and the text data converted from the test subject's answer to it are positive or negative, Item 5. The decision-making ability evaluation device according to any one of items 1 to 4, including determining logical thinking.
Item 8. The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding,
questions for assessing the subject's comprehension include instructions for the subject to read a document related to the use of goods or services;
The decision-making ability evaluation device,
an image acquisition unit that acquires image data of a person to be inspected;
further comprising a line-of-sight measurement unit that analyzes the image data of the face of the inspection subject acquired by the image acquisition unit and measures the trajectory of the line of sight;
2. The decision-making ability evaluation device according to item 1, wherein the decision-making ability determination unit determines the understanding of the person being examined based on the measurement result of the line-of-sight trajectory received from the line-of-sight measurement unit.
Item 9. The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding,
questions for assessing the subject's comprehension include instructions for the subject to read a document related to the use of goods or services;
The decision-making ability evaluation device,
an image acquisition unit that acquires image data of a person to be inspected;
further comprising a face orientation measurement unit that analyzes the image data of the face of the person to be inspected acquired by the image acquisition unit and measures the orientation of the face;
2. The apparatus for evaluating decision-making ability according to Item 1, wherein the decision-making ability determination unit determines the understanding of the person being examined based on the face orientation measurement result received from the face orientation measurement unit.
Item 10. Item 10. A decision-making ability evaluation system for evaluating the decision-making ability of a person to be tested in using a product or service, comprising: an inspection terminal; with a decision-making ability evaluation device of
The decision-making ability evaluation system, wherein the speech data acquisition unit of the decision-making ability evaluation device acquires the examination subject's speech data from a dialogue related to use of the product or service received from the examination terminal.
項11.商品又はサービスの利用における検査対象者の意思決定能力を評価するために使用される意思決定能力評価プログラムであって、コンピュータを、
 商品又はサービスの利用に関連する対話から、検査対象者の音声データを取得する音声データ取得部と、
 前記音声データ取得部により取得された検査対象者の音声データをテキストデータに変換する変換部と、
 前記変換部により変換されたテキストデータに基づいて、検査対象者の商品又はサービスの利用の意思決定能力を判定する意思決定能力判定部と、
として機能させる意思決定能力評価プログラムにおいて、
 前記検査対象者の音声データは、
 前記検査対象者の理解を評価するための質問に対する検査対象者の回答、
 前記検査対象者の認識を評価するための質問に対する検査対象者の回答、および
 前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答、
のうちの少なくとも2つを含み、
 前記検査対象者の音声データが前記検査対象者の理解を評価するための質問に対する検査対象者の回答を含む場合には、前記意思決定能力判定部による意思決定能力の判定は、前記検査対象者の理解を評価するための質問に対する検査対象者の回答を変換したテキストデータに基づいて、検査対象者の理解を判定することを含み、
 前記検査対象者の音声データが前記検査対象者の認識を評価するための質問に対する検査対象者の回答を含む場合には、前記意思決定能力判定部による意思決定能力の判定は、前記検査対象者の認識を評価するための質問に対する検査対象者の回答を変換したテキストデータに基づいて、検査対象者の認識を判定することを含み、
及び
 前記検査対象者の音声データが前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答を含む場合には、前記意思決定能力判定部による意思決定能力の判定は、前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答を変換したテキストデータに基づいて、検査対象者の論理的思考を判定することを含む、意思決定能力評価プログラム。
項12.前記検査対象者の音声データは、検査対象者の選択の表明を評価するための質問に対する検査対象者の回答を含み、
 前記意思決定能力判定部による意思決定能力の判定は、前記検査対象者の選択の表明を評価するための質問に対する検査対象者の回答を変換したテキストデータに基づいて、検査対象者の選択の表明を判定することを含む、項11に記載の意思決定能力評価プログラム。
項13.前記意思決定能力判定部による意思決定能力の判定は、商品又はサービスの利用に関連する対話における検査対象者の発話の音声データを変換したテキスト中に、共起される頻度が高い単語同士が共起されている場合に、検査対象者が理解していると判定することを含む、項11または12に記載の意思決定能力評価プログラム。
項14.前記検査対象者の音声データは、検査対象者の理解を評価するための質問に対する検査対象者の回答を含み、
 前記検査対象者の理解を評価するための質問は、時事に関連するテキストデータで学習された機械学習モデルを用いて作成された、特定の分野の第1の表現と、前記表現と共に出現する頻度が高い第2の表現とを含む文章のうちの第2の表現の穴埋め問題である、項11または12に記載の意思決定能力評価プログラム。
項15.音声データ取得部は、検査対象者の認識を評価するための質問と、前記検査対象者の認識を評価するための質問に対する検査対象者の回答とを含み、
 前記意思決定能力判定部は、
 前記検査対象者の認識を評価するための質問の音声データを変換したテキストと、前記検査対象者の回答の音声データを変換したテキストとに、少なくとも一つ同じ単語が共通して出現していること、
 前記検査対象者の回答の音声データを変換したテキスト中の、前記共通して出現している単語と別の単語との共起の組み合わせが、前記検査対象者の認識を評価するための質問中の、前記共通して出現している単語と別の単語との共起の組み合わせと異なっていること、及び
 検査対象者に関連する単語が前記検査対象者の回答を変換したテキスト中に出現していること
を判定する、項11~14のいずれか一項に記載の意思決定能力評価プログラム。
項16.前記検査対象者の音声データは、前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答を含み、
 前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答を変換したテキストデータが、比較を表す単語、又は類似した事物の提示、並列、もしくは列挙を示す単語を含む、項11~14のいずれか一項に記載の意思決定能力評価プログラム。
項17.前記意思決定能力判定部による意思決定能力の判定は、前記検査対象者の理解を評価するための質問を変換したテキストデータと、それに対する検査対象者の回答を変換したテキストデータとの内容が、ポジティブかネガティブであるかに基づいて、検査対象者の論理的思考を判定することを含む、項11~14のいずれか一項に記載の意思決定能力評価プログラム。
項18.前記検査対象者の音声データは、前記検査対象者の理解を評価するための質問に対する検査対象者の回答を含み、
 前記検査対象者の理解を評価するための質問は、商品又はサービスの利用に関連する文書を前記検査対象者に読ませる指示を含み、
 前記意思決定能力評価プログラムは、前記コンピュータを、
 検査対象者の画像データを取得する画像取得部と、
 前記画像取得部により取得された検査対象者の顔の画像データを解析して、視線の軌跡を測定する視線測定部と
としてさらに機能させ、
 前記意思決定能力判定部は、前記視線測定部から受信した視線の軌跡の測定結果に基づいて、検査対象者の理解を判定する項11に記載の意思決定能力評価プログラム。
項19.前記検査対象者の音声データは、前記検査対象者の理解を評価するための質問に対する検査対象者の回答を含み、
 前記検査対象者の理解を評価するための質問は、商品又はサービスの利用に関連する文書を前記検査対象者に読ませる指示を含み、
 前記意思決定能力評価プログラムは、前記コンピュータを、
 検査対象者の画像データを取得する画像取得部と、
 前記画像取得部により取得された検査対象者の顔の画像データを解析して、顔の向きを測定する顔向き測定部と
としてさらに機能させ、
 前記意思決定能力判定部は、前記顔向き測定部から受信した顔の向きの測定結果に基づいて、検査対象者の理解を判定する項11に記載の意思決定能力評価プログラム。
項20.項11~19のいずれか一項に記載の意思決定能力評価プログラムを記録する記録媒体。
Item 11. A decision-making ability evaluation program used to evaluate a person's decision-making ability in the use of goods or services, the computer comprising:
a voice data acquisition unit that acquires voice data of a person to be tested from conversations related to the use of goods or services;
a conversion unit that converts the voice data of the person to be examined acquired by the voice data acquisition unit into text data;
a decision-making ability determination unit that determines the decision-making ability of a person to be inspected for use of goods or services based on the text data converted by the conversion unit;
In the decision-making ability evaluation program that functions as
The voice data of the person to be inspected is
the test subject's answers to questions for evaluating the test subject's understanding;
the test subject's responses to questions to assess the test subject's cognition; and the test subject's responses to questions to assess the test subject's reasoning;
including at least two of
When the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding, the determination of the decision-making ability by the decision-making ability determination unit includes the test subject's Including determining the understanding of the test subject based on the text data converted from the test subject's answers to the questions for evaluating the understanding of
When the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's recognition, the determination of the decision-making ability by the decision-making ability determination unit includes the test subject's Including determining the recognition of the test subject based on the text data converted from the test subject's answer to the question for evaluating the recognition of
and when the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's logical thinking, the determination of the decision-making ability by the decision-making ability determination unit A program for evaluating decision-making ability, including judging the logical thinking of an inspected person based on text data obtained by converting the responses of the inspected person to questions for evaluating the logical thinking of the inspected person.
Item 12. the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's expression of choice;
The judgment of decision-making ability by the decision-making ability judging unit is based on text data obtained by converting the test subject's answers to questions for evaluating the test subject's expression of selection. 12. The program for evaluating decision-making ability according to Item 11, comprising determining the.
Item 13. The determination of decision-making ability by the decision-making ability determination unit is performed by combining words with high frequency of co-occurrence in the text obtained by converting the voice data of the test subject's utterances in the dialogue related to the use of the product or service. 13. A decision-making ability assessment program according to clause 11 or 12, comprising determining that the test subject understands if aroused.
Item 14. The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding,
The questions for evaluating the test subject's comprehension include a first expression in a specific field and the frequency of occurrence with the expression, created using a machine learning model trained on text data related to current events. 13. The program for assessing decision-making ability according to Item 11 or 12, wherein the program is a fill-in-the-blank question of the second expression in the sentence containing the second expression with a high .
Item 15. The voice data acquisition unit includes a question for evaluating the recognition of the person being examined, and the person's answer to the question for evaluating the person's recognition,
The decision-making ability determination unit,
At least one same word appears in common between the text obtained by converting the voice data of the question for evaluating the recognition of the test subject and the text obtained by converting the voice data of the answer of the test subject. matter,
A combination of co-occurrences of the commonly appearing word and another word in the text obtained by converting the voice data of the test subject's answer is a question for evaluating the recognition of the test subject. and that the word related to the test subject appears in the text obtained by converting the test subject's answer. 15. The decision-making ability evaluation program according to any one of items 11 to 14, which determines that the decision-making ability evaluation program.
Item 16. The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's logical thinking,
The text data obtained by converting the test subject's answers to the questions for evaluating the test subject's logical thinking includes words representing comparison, or words representing presentation, paralleling, or enumeration of similar items. The decision-making ability evaluation program according to any one of 11 to 14.
Item 17. The determination of decision-making ability by the decision-making ability determination unit is based on the content of the text data converted from the question for evaluating the understanding of the test subject and the text data converted from the test subject's answer to the question, 15. The decision-making ability evaluation program according to any one of items 11 to 14, comprising determining the logical thinking of the test subject based on whether it is positive or negative.
Item 18. The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding,
questions for assessing the subject's comprehension include instructions for the subject to read a document related to the use of goods or services;
The decision-making ability evaluation program causes the computer to:
an image acquisition unit that acquires image data of a person to be inspected;
further functions as a line-of-sight measurement unit that analyzes the image data of the face of the inspection subject acquired by the image acquisition unit and measures the trajectory of the line of sight;
12. The decision-making ability evaluation program according to item 11, wherein the decision-making ability determination unit determines the comprehension of the test subject based on the measurement result of the line-of-sight trajectory received from the line-of-sight measurement unit.
Item 19. The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding,
questions for assessing the subject's comprehension include instructions for the subject to read a document related to the use of goods or services;
The decision-making ability evaluation program causes the computer to:
an image acquisition unit that acquires image data of a person to be inspected;
analyzing the image data of the face of the person to be inspected acquired by the image acquisition unit and further functioning as a face orientation measurement unit for measuring the orientation of the face;
12. The decision-making ability evaluation program according to item 11, wherein the decision-making ability determination unit determines the comprehension of the test subject based on the face orientation measurement result received from the face orientation measurement unit.
Item 20. A recording medium for recording the decision-making ability evaluation program according to any one of items 11 to 19.
 本発明によれば、商品又はサービスの利用に関する質問に対して取得した検査対象者の音声データに基づいて、検査対象者の意思決定能力をコンピュータにより迅速かつ高精度に評価することが可能となる。 According to the present invention, it is possible to quickly and highly accurately evaluate the decision-making ability of an inspected person by a computer based on the voice data of the inspected person acquired in response to questions regarding the use of goods or services. .
本実施形態の意思決定能力評価システムの説明図。Explanatory drawing of the decision-making ability evaluation system of this embodiment. 意思決定能力評価装置の説明図。Explanatory drawing of a decision-making ability evaluation apparatus. 金融商品取引能力の評価のための評価項目の説明図。Explanatory diagram of evaluation items for evaluation of financial product trading ability. 文章中の単語同士の関係に基づく、記憶と連想の説明図。Explanatory diagram of memory and association based on the relationship between words in a sentence. (A)文を分解した単語のうちの出現頻度が高い名詞の代表例。(B)ウェブサイトに掲載されている経済政策記事の例、(C)各単語とその出現頻度のグラフ。(A) Representative examples of nouns with a high appearance frequency among the words obtained by decomposing the sentence. (B) An example of an economic policy article posted on a website, (C) A graph of each word and its frequency of occurrence. (A)経済政策記事中の共起する単語の関係を示すネットワーク図、(B)共起される単語のセットと、その出現頻度のリスト。(A) A network diagram showing the relationship of co-occurring words in economic policy articles, (B) a set of co-occurring words and a list of their appearance frequencies. 文章のベクトル化の例。An example of vectorization of text. 機械学習を用いた文章ベクトルのクラスタリングの例。An example of sentence vector clustering using machine learning. 検査者と検査対象者の会話例。An example of a conversation between an inspector and an inspection subject. 検査対象者の「認識」を評価するためのテキストの解析の例。(A)検査対象者の発話の音声データをテキスト化した文章、(B)図10(A)のテキストを形態素解析により分解し、分類したもののリスト、(C)文章中の主語が省略されている場合のBERTによる推定。An example of text analysis to assess the 'perception' of a test subject. (A) A sentence in which the speech data of the test subject's utterance is converted into text, (B) A list of the texts of FIG. Estimation by BERT if there is. 検査対象者の「結果についての論理的思考」の能力を評価するための解析の例。(A)検査対象者の発話の音声データをテキスト化した文章、(B)図11(A)のテキストを形態素解析により分解し、分類したもののリスト、(C)実装例。An example of analysis for evaluating the test subject's ability to "think logically about results." (A) sentences in which the voice data of the test subject's utterances are converted into text; (B) a list of the texts of FIG. 11A decomposed by morphological analysis; 検査対象者の「比較する論理的思考」の能力を評価するための解析の例。(A)検査者の発話、(B)検査対象者の発話、(C)実装例。An example of analysis for evaluating the examinee's ability of "comparative logical thinking". (A) Speech of inspector, (B) Speech of inspection subject, (C) Implementation example. 検査対象者の「論理的一貫性」の能力を評価するために用いられる発話の例。Examples of utterances used to assess a test subject's ability to be "logically coherent." 検査対象者の「論理的一貫性」の能力を評価するために用いられる文書の例。An example of a document used to assess a test subject's ability to be "logically coherent." (A)健常者の視線の軌跡、(B)認知機能が低下した人の視線の軌跡。(A) The trajectory of the gaze of a healthy person, (B) The trajectory of the gaze of a person with cognitive decline. (A)質問文を形態素解析した例、(B)健常者の経時的な視線位置の変化を示す模式的グラフ、(C)認知機能経時的な視線位置の変化を示す模式的グラフ。(A) An example of morphological analysis of a question sentence, (B) a schematic graph showing changes in gaze position over time of a healthy subject, (C) a schematic graph showing changes in cognitive function over time in gaze position. 検査端末10で実行される処理の流れを示すフローチャート。4 is a flowchart showing the flow of processing executed by the inspection terminal 10; 本実施形態の意思決定能力評価装置20で実行される処理の流れを示すフローチャート。4 is a flow chart showing the flow of processing executed by the decision-making ability evaluation device 20 of the present embodiment. 意思決定能力評価の別例の説明図。Explanatory drawing of another example of decision-making ability evaluation. 意思決定能力評価システムの別例の説明図。Explanatory drawing of another example of a decision-making ability evaluation system.
1.検査者による検査対象者の評価
 まず、参考例として、自然人である検査者と、検査対象者との間のビデオ及び音声による双方向の対話において、検査対象者が回答した内容を検査者側で記録し、検査者が直接、検査対象者の意思決定能力としての金融取引能力を評価している例について説明する。
1. Evaluation of the test subject by the tester We will record and explain an example in which the inspector directly evaluates the financial transaction ability as the decision-making ability of the person being inspected.
 金融取引能力を評価する上では、医療現場における医療同意能力(手術をするときの同意等)の評価方法を応用することができる。医療同意能力評価のための構造化面接法MacArthur Competence. Assessment Tool for Treatment(MacCAT-T), Appelbaum  PS et al: Professional Resource Press; 2001)によると、意思決定能力評価には「理解」、「認識」、「論理的思考」及び「選択の表明」の4つ指標がある。 In evaluating financial transaction ability, it is possible to apply the evaluation method of medical consent ability (consent for surgery, etc.) in the medical field. According to the structured interview method MacArthur Competence. Assessment Tool for Treatment (MacCAT-T), Appelbaum PS et al: Professional Resource Press; , ``logical thinking'' and ``expression of choice''.
 「理解」とは、提示された情報を「記憶」し、その記憶から「連想」する能力である。提示された情報が自分に関連するか否かは関係しない。その情報を用いて、自分自身で文章を生成できることが望ましいが、提示された情報を同じ言葉で繰り返せる場合も、「理解」していると評価してもよい。この理解の機能低下が進むにつれ、表現が曖昧になる、思い出せなくなる。 "Understanding" is the ability to "remember" presented information and "associate" from that memory. It doesn't matter if the information presented is relevant to you or not. It is desirable for the learner to be able to generate sentences by himself/herself using the information, but if the learner can repeat the presented information in the same words, it may be evaluated as "understanding". As this comprehension decline progresses, expressions become vague and difficult to remember.
 「認識」とは、提示された情報が全部もしくは一部が、「自分自身と関係している」ことを知っている、及び/又は自分自身が提示された情報から「選択したときの結果を連想」していることを表明する。この認識機能の低下が進むにつれ、表現が曖昧になる。 “Awareness” means knowing that all or part of the information presented “relates to you” and/or you “make a choice out of the information presented to you.” indicate that it is "associating". As this cognitive function declines, expressions become ambiguous.
 「論理的思考」には、(1)結果についての論理的思考及び推測、(2)比較する論理的思考、(3)論理的一貫性が含まれる。 "Logical thinking" includes (1) logical thinking and guessing about results, (2) logical thinking for comparison, and (3) logical consistency.
 (1)の「結果についての論理的思考及び推測」は、自分自身が選択した結果を、「提示された情報の範囲」で連想することができること(結果を導く論理)であり、提示された情報の範囲を超えて連想する(結果を導く論理を基に連想を展開する)ことも含む。
 (2)の「比較する論理的思考」は、複数の選択肢を比較する能力を指す。
 (3)の「論理的一貫性」は、 (2)の比較結果を導き、話者内、話者間のいずれかの連想に断絶がなく、選択の表明に至るまでの過程である。
(1) ``Logical thinking and speculation about the result'' is the ability to associate the result you have selected within the ``range of the information presented'' (the logic that leads to the result). It also includes associating beyond the scope of information (developing associations based on logic that leads to results).
(2) "Comparative logical thinking" refers to the ability to compare multiple options.
(3) "Logical Consistency" is the process leading to the conclusion of the comparison in (2), without any disconnection of associations within or between speakers, until the choice is made.
 「選択の表明」は、論理的思考により比較した結果、いずれを選択したのかを、例えば明示的な意思表示等により、証拠づけることである。 "Expression of choice" is to prove which one was selected as a result of comparison based on logical thinking, for example, by explicit declaration of intention.
 上記のMacCAT-Tの4つの評価指標に基づいて、金融分野における意思決定能力を評価するには、検査対象者に対するが、金融分野の内容を含むように質問を設定すればよい。また金融分野の質問に対する「理解」を評価することで、「理解」の有無だけでなく、「金融リテラシー」の有無も評価することができる。 In order to evaluate the decision-making ability in the financial field based on the above four evaluation indicators of MacCAT-T, questions should be set to include the contents of the financial field for the test subject. In addition, by evaluating "understanding" of financial questions, it is possible to evaluate not only "understanding" but also "financial literacy".
 通常、金融分野の質問に対する「理解」、「論理的思考」及び「選択の表明」(又は「理解」、「認識」、「論理的思考」及び「選択の表明」)がすべて備わっている場合は、検査対象者の金融取引能力が十分であると評価される。また、金融分野の質問に対する「理解」、「論理的思考」及び「選択の表明」(又は「理解」、「認識」、「論理的思考」及び「選択の表明」)のうちの少なくとも一つが備わっていない場合は、検査対象者の金融取引能力が不十分であると評価される。ただし、金融取引能力が十分か不十分かの判定基準は、個々の金融取引に必要とされる金融取引能力に応じて変更することもできる。 Generally, if you have all the "understanding", "reasoning" and "statement of choice" (or "understanding", "recognition", "reasoning" and "statement of choice") for financial questions is evaluated as having sufficient financial transaction ability of the person being inspected. In addition, at least one of “understanding”, “logical thinking” and “statement of choice” (or “understanding”, “recognition”, “logical thinking” and “statement of choice”) for questions in the financial field If not, the financial transaction ability of the inspected person is evaluated as insufficient. However, the criteria for judging whether the financial transaction capacity is sufficient or insufficient can be changed according to the financial transaction capacity required for individual financial transactions.
 表1は、検査者と検査対象者との間のビデオ及び音声による双方向の対話において、検査者であるX銀行の職員Yであるが、検査対象者として72歳のAさんの金融取引の意思決定能力、具体的には金融商品の購入の意思決定能力を評価した例である。 Table 1 shows the two-way video and voice dialogue between the inspector and the person being inspected. This is an example of evaluating decision-making ability, specifically decision-making ability for purchasing financial products.
 4つの要素の評価は、医師などの専門家が、能力があると判定する場合をPositive、能力がないと判定する場合をNegative、どちらとも判別がつかない場合をNeutralとした。 The four elements were evaluated as Positive when doctors and other specialists judged that they had the ability, Negative when they judged they had no ability, and Neutral when they could not distinguish between the two.
 Aさんは72歳であり、年のせいか「物忘れ」が増えてきているのが心配であるが、周囲にはあまり知られないよう努めている。子どもは、息子と娘が一人ずついるが今は独立して遠方で生活している。3年前に夫に先立たれてから、Aさんは一人暮らしをしている。Aさんの資産状況としては、当行で1,000万円、他行にも1,000万円預金しており、夫の遺族年金などで生活費も十分に賄えているため、十分な蓄えがある。これまで証券会社で、投資信託と株式を200万円程運用していた。先日、預けていた定期の満期案内が届いたため、先月X銀行に来店し、「投資信託」での運用の提案を受け、満期日まで検討することになり、今回は、満期手続きのためにX銀行へ2回目の来店をしている。 Mr. A is 72 years old, and he is worried that he is becoming more "forgetful" due to his age, but he is trying not to let people around him know about it. They have one son and one daughter, but now they live independently and far away. Ms. A has been living alone since her husband died three years ago. As for Mr. A's assets, he has 10 million yen in our bank and 10 million yen in other banks. Until now, I managed about 2 million yen in investment trusts and stocks at a securities company. The other day, I received a notice of maturity of the regular deposit that I had deposited, so last month I visited Bank X, received a proposal for investment in an "investment trust", and decided to consider it until the maturity date. This is my second visit to the bank.
 表1のNo.1~10の会話中、Aさんの回答から、職員Yは、Aさんの「理解」「認識」「論理的思考」「選択の表明」の有無をそれぞれを評価している。 "No. in Table 1." During conversations 1 to 10, based on Mr. A's answers, employee Y evaluates Mr. A's "understanding", "recognition", "logical thinking", and "expression of choice".
 No.2のAさんの回答は、No.3の職員Yの説明に対し、自身の資産状況と照らし合わせて、質問が自分自身と関係していることを知っており、さらには取引をした場合の連想することができている。このため、認識は Positiveと判定される。  No. 2 Mr. A's answer is No. In response to the explanation of employee Y in 3, he knows that the question is related to himself in light of his own asset status, and is able to associate it with a transaction. Therefore, the recognition is determined as Positive.
 No.4のAさんの返答は、No.3の職員Yの説明に対し、「記憶」し、その記憶から「連想」している。このため、理解はPositiveと判定される。  No. 4 Mr. A's answer is No. "Memorize" the explanation of staff Y in 3, and "associate" from that memory. Therefore, comprehension is judged as Positive.
 No.6のAさんの返答は、預ける場合と預けない場合という選択肢を利益・不利益を考慮して整理し、どちらでも一緒という結果を導いている。このため、論理的思考はPositiveと判定される。  No. The answer of Mr. A in 6 is that the options of depositing and not depositing are organized in consideration of the advantages and disadvantages, and the result is that both are the same. Therefore, logical thinking is judged as Positive.
 No.8のAさんの返答は、リスクがないもののデメリットと、リスクがあるものを整理し、職員Yへ良いものを提示するよう依頼している。このため、論理的思考はPositiveと判定される。  No. Mr. A's reply from 8 asks him to sort out the disadvantages of those without risks and those with risks, and to present the good ones to employee Y. Therefore, logical thinking is judged as Positive.
 No.10でAさんは、論理的思考に基づいて比較した結果、新しい金融商品の紹介を前向きに考える明示的な意思表示をしており、選択の表明はPositiveと判定される。  No. At 10, as a result of comparison based on logical thinking, Mr. A expresses an explicit intention to positively consider the introduction of a new financial product, and the declaration of selection is determined as Positive.
 表1のNo.1~10のやりとり(特にNo.2,4,6,8,10)から、Aさんには金融取引に関する「理解」「認識」「論理的思考」「選択の表明」の能力が十分備わっていると判定される。このため、検査者は、Aさんに新しい金融商品の紹介をしてもよいと決定することができる。 "No. in Table 1." From exchanges 1 to 10 (especially Nos. 2, 4, 6, 8, and 10), Mr. A is fully equipped with the ability to "understand," "recognise," "logically think," and "express choices" regarding financial transactions. is determined to be Therefore, the inspector can decide that Mr. A may be introduced to a new financial product.
Figure JPOXMLDOC01-appb-T000001
Figure JPOXMLDOC01-appb-T000001
 表2は、検査者と検査対象者との間のビデオ及び音声による双方向の対話において、検査者であるX銀行の職員Yであるが、検査対象者として72歳のBさんの金融取引の意思決定能力、具体的には金融商品の購入の意思決定能力を評価した例である。 Table 2 shows the two-way video and audio dialogue between the inspector and the person being inspected. This is an example of evaluating decision-making ability, specifically decision-making ability for purchasing financial products.
 Bさんは72歳であり、子どもは、子供は今は独立して遠方で生活している。夫に先立たれてから、Bさんは一人暮らしをしている。Bさんの資産状況としては、当行で1,000万円、他行にも1,000万円預金しており、生活費も十分に賄えているため、十分な蓄えがある。これまで証券会社で、投資信託と株式を200万円程運用していた。先日、預けていた定期の満期案内が届いたため、先月X銀行に来店し、「投資信託」での運用の提案を受け、満期日まで検討することになり、今回は、満期手続きのためにX銀行へ2回目の来店をしている。 Mr. B is 72 years old, and the child is now living independently and far away. Ms. B has been living alone since her husband passed away. As for Mr. B's assets, he has 10 million yen in our bank and 10 million yen in other banks. Until now, I managed about 2 million yen in investment trusts and stocks at a securities company. The other day, I received a notice of maturity of the regular deposit that I had deposited, so last month I visited Bank X, received a proposal for investment in an "investment trust", and decided to consider it until the maturity date. This is my second visit to the bank.
 表2のNo.1~10の会話中、Bさんの回答から、職員Yは、Bさんの「理解」「認識」「論理的思考」「選択の表明」の有無をそれぞれを評価する。 No. in Table 2. During conversations 1 to 10, based on Mr. B's answers, employee Y evaluates Mr. B's "understanding", "recognition", "logical thinking", and "expression of choice".
 No.2のBさんの回答は、充分な蓄えがあるにも関わらず、生活資金の不足に対する不安を訴えており、自分の生活状況や資産状況を正確に捉えられていない可能性があるため、認識はNeutralと判定される。  No. Mr. B's answer in 2 is that despite having sufficient savings, he is worried about lack of funds for living. is judged to be Neutral.
 No.4のBさんの返答は、No.3の職員Yの説明に対し、理解できているかどうかの判断に迷う内容であるため、理解がNeutralと判定される。  No. 4 Mr. B's reply is No. Regarding the explanation of Employee Y in 3, it is difficult to judge whether the explanation is understood or not, so the understanding is judged as Neutral.
 No.6のBさんの返答は、自分の資産状況から、取引がもたらす結果を推測することができていないことを示し、理解はNegative、論理的思考はNegativeと判定される。  No. Mr. B's reply in 6 indicates that he cannot guess the outcome of the transaction from his own financial situation, and is judged as Negative for understanding and Negative for logical thinking.
 No.8のBさんの返答は、「お任せします」とする発言は、認知症の人によく見られるもので、自分の置かれている状況を把握できていない可能性があり、認識はNegative、論理的思考はNegativeと判定される。  No. Mr. B of 8 replied, "I will leave it to you", which is often seen by people with dementia. , logical thinking is judged as Negative.
 No.10でBさんは、自分の生活状況・資産状況と照らし合わせることなく、取引を進めることを選択しているため、論理的思考はNegativeと判定される。  No. At 10, Mr. B chooses to proceed with the transaction without comparing his living situation and asset situation, so his logical thinking is determined as Negative.
 表2のNo.1~10のやりとり(特にNo.2,4,6,8,10)から、Bさんには金融取引に関する「理解」「認識」「論理的思考」(新しい金融商品の紹介を希望すること)の能力が不十分と判定される。このため、最後にポジティブな「選択の表明」がなされていたとしても、その他の能力があると判断できないため、検査者は、Bさんに新しい金融商品の紹介へ移ることを中止するよう決定することができる。 No. in Table 2. From exchanges 1 to 10 (especially No. 2, 4, 6, 8, 10), Mr. B has "understanding", "recognition", and "logical thinking" regarding financial transactions (hoping to introduce new financial products). is determined to be inadequate. For this reason, even if a positive "expression of choice" was made at the end, it cannot be determined that Mr. B has other abilities, so the examiner decides to stop introducing Mr. B to a new financial product. be able to.
Figure JPOXMLDOC01-appb-T000002
Figure JPOXMLDOC01-appb-T000002
 以上のように、検査対象者の金融における意思決定能力の有無を判定するためには、検査者の訓練が必要であり、充分に検査が行える検査者を養成するには時間もかかる。さらに、検査の内容も複雑であり、検査者によっては検査結果にばらつきも生じる可能性がある。 As described above, it is necessary to train inspectors in order to determine whether the person being inspected has financial decision-making ability, and it takes time to train inspectors who can sufficiently perform inspections. Furthermore, the contents of the inspection are also complicated, and there is a possibility that the inspection results may vary depending on the inspector.
 本願発明は、意思決定能力の判定を意思決定能力評価装置又は意思決定能力評価システムが支援することにより、このような対面で検査者が検査対象者の意思決定能力を評価する場合の不利点を解消するものである。 The present invention overcomes the disadvantages of face-to-face evaluation of decision-making ability by an inspector by supporting decision-making ability evaluation by a decision-making ability evaluation device or a decision-making ability evaluation system. It is to be resolved.
2.意思決定能力評価装置又は意思決定能力評価システムによる検査対象者の評価
(1)テキストデータを用いた意思決定能力の評価
 以下、図面を参照しながら、意思決定能力評価装置、意思決定能力評価システム、及び意思決定能力評価プログラムを具現化した本発明の実施形態について説明する。
2. Evaluation of test subject by decision-making ability evaluation device or decision-making ability evaluation system (1) Evaluation of decision-making ability using text data Hereinafter, with reference to the drawings, a decision-making ability evaluation device, a decision-making ability evaluation system, and an embodiment of the present invention embodying a decision-making ability evaluation program.
 図1に示すように、本実施形態の意思決定能力評価システムは、検査端末10と、意思決定能力評価装置20とを備えている。 As shown in FIG. 1, the decision-making ability evaluation system of this embodiment includes a test terminal 10 and a decision-making ability evaluation device 20.
 本明細書において、「商品又はサービスの利用に関する対話」は、「検査対象者の意思決定能力を評価するための質問」を含む。
 本明細書において、「商品又はサービスの利用に関する質問」とは、商品又はサービスの利用に際して検査対象者が目、耳、指などで接しなければならない利用規約、利用説明書、取扱説明書、使用許諾契約書、保証書、目論見書、同意書等の契約を伴う書類そのもの若しくは該書類の一部を質問形式にしたもの、又は当該商品又は当該サービスと同じ分野の電子データ(例えばオンラインコンテンツから抽出した電子データ、ローカルなデータベース又は電子辞書から抽出した電子データ)に基づいて、意思決定能力評価用に作成された質問を指す。
In this specification, "dialogue regarding use of goods or services" includes "questions for evaluating decision-making ability of test subjects".
In this specification, "questions related to the use of goods or services" refer to terms of use, user manuals, instruction manuals, usage instructions, etc. that the test subject must contact with his eyes, ears, fingers, etc. when using goods or services. Licensing agreements, warranties, prospectuses, agreements, and other documents that accompany contracts, or part of these documents in question format, or electronic data in the same field as the product or service (for example, extracted from online content (Electronic data, electronic data extracted from a local database or electronic dictionary) refers to questions created for decision-making ability evaluation.
 例えば、検査対象者がある金融商品を購入したい場合、当該金融商品に関する書類そのものを利用した質問に限られず、金利に関する質問といったような、金融又は経済のニュース又は記事の電子データから作成した質問も「商品又はサービスの利用に関する質問」に含まれる。 For example, when a person to be inspected wants to purchase a certain financial product, the questions are not limited to those using documents related to the financial product itself, but also questions created from electronic data of financial or economic news or articles, such as questions about interest rates. Included in "Questions about the use of goods or services."
 検査対象者の意思決定能力を評価するための質問のうち、少なくとも一つの質問が商品又はサービスの利用に関する質問であればよいが、評価の精度を高めるために、すべての質問が商品又はサービスの利用に関する質問であってもよい。検査対象者の意思決定能力を評価するための質問のうち、商品又はサービスの利用に関する質問以外の質問は、検査対象者の意思決定能力を評価できる限りいかなる質問であってもよく、例えば、時事問題などであってもよい。 At least one of the questions to evaluate the decision-making ability of the test subject should be a question about the use of goods or services. It may be a question about usage. Among the questions for evaluating the decision-making ability of the test subject, questions other than questions about the use of goods or services may be any questions as long as they can evaluate the decision-making ability of the test subject. It can be a problem, etc.
 検査対象者の意思決定能力を評価するための質問としては、検査対象者の「理解」、「認識」、「論理的思考」、及び「選択の表明」を評価するための質問が挙げられる。なお、検査対象者の「理解」、「認識」、「論理的思考」、及び「選択の表明」を評価するための質問は、それに対する検査対象者の回答である発話の取得を意図したものであれば、必ずしも検査対象者への問いかけの疑問文の形式になっていなくてもよく、問いかけの形式ではない音声での発話や、紙や表示装置に表示された質問も含まれる。 Questions for evaluating the decision-making ability of the test subject include questions for evaluating the test subject's "understanding", "recognition", "logical thinking", and "expression of choice". In addition, the questions for evaluating the test subject's "understanding", "recognition", "logical thinking", and "expression of choice" are intended to acquire the test subject's answers to the questions. If so, it does not necessarily have to be in the form of an interrogative sentence to ask the person to be examined, and includes voice utterances that are not in the form of questions, and questions displayed on paper or on a display device.
 本実施形態において、検査対象者は、意思決定能力の評価を必要とする者であればよく、例えば65歳以上の高齢者が挙げられる。また、検査対象者として、例えば主観的又は客観的に、認知機能に低下があり、意思決定能力に疑いがある者が挙げられる。 In this embodiment, the test subject may be any person who needs evaluation of decision-making ability, for example, an elderly person aged 65 or over. In addition, test subjects include, for example, those subjectively or objectively having a decline in cognitive function and having doubts about their decision-making ability.
 本実施形態において、検査者は特に限定されず、医師及び臨床心理士などの専門家、その他の認知機能検査の専門的訓練を受けた者、又は商品若しくはサービスを提供する提供業者の従業員が挙げられるがこれらに限定されない。あるいは、本発明の意思決定能力の評価が、コンピュータにより行われる場合、検査端末10又は意思決定能力評価装置20の制御部により検査が実行され得る。 In this embodiment, the tester is not particularly limited, and experts such as doctors and clinical psychologists, other people who have received specialized training in cognitive function testing, or employees of providers who provide products or services include but are not limited to. Alternatively, when the decision-making ability evaluation of the present invention is performed by a computer, the test can be performed by the control unit of the test terminal 10 or the decision-making ability evaluation device 20 .
 検査端末10は検査対象者の音声、画像などの生体情報を取得して記録する端末である。検査端末10としては、例えばスマートフォン、携帯電話機、タブレット端末、パーソナルコンピューター等が挙げられる。 The inspection terminal 10 is a terminal that acquires and records biological information such as the voice and images of the person to be inspected. Examples of the inspection terminal 10 include a smart phone, a mobile phone, a tablet terminal, a personal computer, and the like.
 検査端末10は、検査対象者が所有するものであってもよいし、医療機関、金融機関、又は商品若しくはサービスが提供される建物等に配置されているものでもよいが、これらに限定されない。 The inspection terminal 10 may be owned by the person to be inspected, or may be installed in a medical institution, a financial institution, or a building where products or services are provided, but is not limited to these.
 検査端末10は、操作部11と、通信接続部12と、制御部13と、記憶部14と、ディスプレイ等の表示装置15と、スピーカー16と、マイクロフォン17と、撮像装置18とを備える。 The inspection terminal 10 includes an operation unit 11, a communication connection unit 12, a control unit 13, a storage unit 14, a display device 15 such as a display, a speaker 16, a microphone 17, and an imaging device 18.
 操作部11としては、キーボード、マウス、ポインティングデバイス等が挙げられる。 The operation unit 11 includes a keyboard, mouse, pointing device, and the like.
 通信接続部12は、検査端末10を他の外部機器と通信接続するためのインタフェースであり、無線であっても有線であってもよく、LAN、インターネット等が挙げられる。 The communication connection unit 12 is an interface for connecting the inspection terminal 10 to other external devices for communication, and may be wireless or wired, and includes LAN, the Internet, and the like.
 制御部13は、CPU等の制御手段、RAM及びROM等のメモリを備え、被検者端末10における各種処理を行う。 The control unit 13 includes control means such as a CPU, memories such as RAM and ROM, and performs various processes in the subject terminal 10 .
 記憶部14は、種々のデータを検査端末10に記録する記憶媒体であって、例えばハードディスクドライブ、ソリッドステートドライブ等が挙げられる。記憶部14は、制御部13が実行するプログラムのデータや、検査端末10が外部機器と送受信するデータ等を記録するために使用することができる。 The storage unit 14 is a storage medium for recording various data in the inspection terminal 10, and includes, for example, a hard disk drive and a solid state drive. The storage unit 14 can be used to record data of a program executed by the control unit 13, data transmitted/received between the inspection terminal 10 and an external device, and the like.
 表示装置15は例えば液晶モニタであり、制御部13の命令により出力された種々のデータを表示する。 The display device 15 is, for example, a liquid crystal monitor, and displays various data output according to commands from the control unit 13 .
 スピーカー16は、検査者からの発話や、商品又はサービスの利用に関する質問を音声として出力する装置である。意思決定能力評価装置20等の外部機器から検査端末10が受信した検査者からの発話や、意思決定能力評価装置20等の外部機器又は検査端末10の制御部13のメモリ又は記憶部14などの記憶部から受信した商品又はサービスの利用に関する質問は、制御部13にて音声に変換されて、スピーカー16から出力される。 The speaker 16 is a device that outputs utterances from the examiner and questions regarding the use of products or services as voice. Speech from the examiner received by the testing terminal 10 from an external device such as the decision-making ability evaluation device 20, or an external device such as the decision-making ability evaluation device 20 or the memory or storage unit 14 of the control unit 13 of the testing terminal 10 A question about use of the product or service received from the storage unit is converted into voice by the control unit 13 and output from the speaker 16 .
 マイクロフォン17は、検査対象者による発話音声を入力するための装置である。検査対象者の発話はマイクロフォン17にて入力され、制御部13にて音声データへとアナログ-デジタル変換される。この音声データは、制御部13のメモリ又は記憶部14などの記憶部に記録される。また、制御部13の実行処理により音声データは通信接続部12を介して意思決定能力評価装置20へ送信される。 The microphone 17 is a device for inputting the voice spoken by the person to be examined. Speech of the person to be examined is input through the microphone 17 and analog-digital converted into voice data by the control unit 13 . This audio data is recorded in the memory of the control unit 13 or a storage unit such as the storage unit 14 . Also, the speech data is transmitted to the decision-making ability evaluation device 20 via the communication connection unit 12 by the processing executed by the control unit 13 .
 撮像装置18は例えば検査端末10に内蔵されているカメラであり、時系列の画像データを取得する。画像データは、検査対象者の少なくとも顔の画像が含まれるデータである。この画像データは、制御部13のメモリ又は記憶部14などの記憶部に記録される。また、制御部13の実行処理により画像データは通信接続部12を介して意思決定能力評価装置20へ送信される。 The imaging device 18 is, for example, a camera built into the inspection terminal 10, and acquires time-series image data. The image data is data including at least the face image of the person to be inspected. This image data is recorded in the memory of the control unit 13 or a storage unit such as the storage unit 14 . Further, the image data is transmitted to the decision-making ability evaluation device 20 via the communication connection unit 12 by the processing executed by the control unit 13 .
 検査端末10には、意思決定能力評価装置20がインターネット等により通信接続している。意思決定能力評価装置20としては、スマートフォン、携帯電話機、タブレット端末、パーソナルコンピュータ、サーバ等が挙げられる。 A decision-making ability evaluation device 20 is connected to the testing terminal 10 via the Internet or the like. Examples of the decision-making ability evaluation device 20 include smartphones, mobile phones, tablet terminals, personal computers, servers, and the like.
 図2に示すように、意思決定能力評価装置20は、通信接続部22と、制御部23と、記憶部24と、表示部25とを備える。 As shown in FIG. 2, the decision-making ability evaluation device 20 includes a communication connection unit 22, a control unit 23, a storage unit 24, and a display unit 25.
 意思決定能力評価装置20は、検査者又は検査者が所属する組織が所有するものであってもよいし、医療機関、金融機関、不動産会社、又は商品若しくはサービスが提供される建物等に配置されているものでもよいが、これらに限定されない。 The decision-making ability evaluation device 20 may be owned by an inspector or an organization to which the inspector belongs, or may be installed in a medical institution, a financial institution, a real estate company, or a building where products or services are provided. However, it is not limited to these.
 通信接続部22は、意思決定能力評価装置20を他の外部機器と通信接続するためのインタフェースであり、無線であっても有線であってもよく、LAN、インターネット等が挙げられる。検査端末10と意思決定能力評価装置20は、通信接続部12,22を介して互いに通信接続する。 The communication connection unit 22 is an interface for communication connection of the decision-making ability evaluation device 20 with other external devices, and may be wireless or wired, and includes a LAN, the Internet, and the like. The test terminal 10 and the decision-making ability evaluation device 20 are connected for communication with each other via the communication connection units 12 and 22 .
 記憶部24は、種々のデータを意思決定能力評価装置20に記録する記憶媒体であって、例えばハードディスクドライブ、ソリッドステートドライブ等が挙げられる。記憶部24は、制御部23が実行するプログラムのデータや、意思決定能力評価装置20が外部機器と送受信するデータ等を記録するために使用することができる。 The storage unit 24 is a storage medium for recording various data in the decision-making ability evaluation device 20, and includes, for example, a hard disk drive and a solid state drive. The storage unit 24 can be used to record data of programs executed by the control unit 23, data transmitted and received by the decision-making ability evaluation device 20 to and from external devices, and the like.
 制御部23は、CPU等の制御手段、RAM及びROM等のメモリを備え、意思決定能力評価装置20における各種処理を行う。 The control unit 23 includes control means such as a CPU, memories such as RAM and ROM, and performs various processes in the decision-making ability evaluation device 20 .
 制御部23は、検査対象者の音声データを取得する音声データ取得部230と、音声データ取得部230により取得された音声データをテキストデータに変換する変換部231と、変換手段により変換されたテキストデータを解析するテキスト解析部232と、テキスト解析部232により解析されたデータに基づいて、検査対象者の商品又はサービスの利用の意思決定能力を判定する判定部233とを備えている。判定部233と、テキスト解析部232のうち、検査対象者の商品又はサービスの利用の意思決定能力を判定のために機能する部分と、意思決定能力判定部238を構成する。 The control unit 23 includes a voice data acquisition unit 230 that acquires voice data of the subject, a conversion unit 231 that converts the voice data acquired by the voice data acquisition unit 230 into text data, and text data converted by the conversion means. A text analysis unit 232 for analyzing data and a judgment unit 233 for judging the decision-making ability of the person to be examined for use of products or services based on the data analyzed by the text analysis unit 232 are provided. The determination unit 233 , a portion of the text analysis unit 232 that functions to determine the decision-making ability of the test subject to use products or services, and the decision-making ability determination unit 238 are configured.
 取得部230は、検査者の発話の音声データと検査対象者の発話の音声データとを取得し、変換部231は、音声データ取得部230により取得された検査者の発話の音声データと検査対象者の発話の音声データの音声認識を行い、個々の発話を特定できる形で、テキストデータに変換する。テキスト解析部232は、変換部231により生成されたテキストデータを解析する。解析としては文を単語に分解する形態素解析などが挙げられる。次に、判定部233は、変換部231により変換されたテキストデータに基づいて、検査対象者の商品又はサービスの利用の意思決定能力を判定する。 The acquisition unit 230 acquires the audio data of the inspector's utterance and the audio data of the inspection subject's utterance. Speech recognition is performed on the voice data of a person's utterance, and the data is converted into text data in a form that allows individual utterances to be identified. A text analysis unit 232 analyzes the text data generated by the conversion unit 231 . Examples of analysis include morphological analysis that breaks sentences into words. Next, based on the text data converted by the conversion unit 231, the determination unit 233 determines the decision-making ability of the person to be examined regarding the use of products or services.
 制御部23はさらに、本実施形態では、データ管理部234と、検査対象者の画像データを取得する画像取得部235と、画像取得部235により取得された検査対象者の顔の画像データを解析して、視線の軌跡を測定する視線測定部236と、画像取得部235により取得された検査対象者の顔の画像データを解析して、顔の向きを測定する顔向き測定部237とをさらに備えている。 In this embodiment, the control unit 23 further includes a data management unit 234, an image acquisition unit 235 that acquires image data of the person to be inspected, and an image data of the face of the person to be inspected acquired by the image acquisition unit 235. Then, a line-of-sight measurement unit 236 that measures the trajectory of the line of sight, and a face orientation measurement unit 237 that analyzes the image data of the face of the inspection subject acquired by the image acquisition unit 235 and measures the orientation of the face are further provided. I have.
 商品又はサービスの利用に関する質問を受けている最中に検査対象者から取得される生体情報としては、例えば、A)音声、B)目の動き(視線の軌跡)、C)顔の向き、又はこれらのうちの2つ又は3つの組み合わせが挙げられるA)音声は音声データとして音声データ取得部230に取得され、B)目の動き(視線の軌跡)及びC)顔の向きは、検査対象者の顔の画像データとして画像取得部234に取得され、のちに解析される。 Examples of biometric information acquired from the test subject while receiving questions about the use of products or services include A) voice, B) eye movement (line of sight), C) face orientation, or A) the voice is acquired as voice data by the voice data acquisition unit 230, and B) the eye movement (line of sight trajectory) and C) the face direction are obtained by combining two or three of them. is obtained by the image obtaining unit 234 as the image data of the face of the child, and is analyzed later.
 ここで、意思決定能力評価装置20の意思決定能力判定部238による、検査対象者の「理解」「認識」「論理的思考」、及び「選択の表明」のそれぞれの評価方法について説明する。 Here, the method of evaluating each of the test subject's "understanding", "recognition", "logical thinking", and "expression of choice" by the decision-making ability determination unit 238 of the decision-making ability evaluation device 20 will be described.
 まず、「理解」の評価について説明する。 First, I will explain the evaluation of "understanding".
 例えば図3は、MacCAT-TとCANDy(Oda et al., Conversational assessment of cognitive dysfunction among residents living in long-term care facilitiesPublished online by Cambridge University Press: 21 September 2017)を応用した、金融商品取引能力の評価のための評価項目を示す。 For example, Figure 3 shows the evaluation of financial product trading ability by applying MacCAT-T and CANDy (Oda et al., Conversational assessment of cognitive dysfunction among residents living in long-term care facilities Published online by Cambridge University Press: 21 September 2017). shows the evaluation items for
 ある取引分野におけるリテラシー(ここでは金融リテラシー)の評価は、その分野(ここでは金融分野)に関する適切な単語や、共起される単語を、検査対象者が理解(記憶、連想)しているか否かを判定することにより、評価することができる。 The evaluation of literacy in a certain field of transactions (financial literacy in this case) is based on whether or not the test subject understands (memorizes and associates) appropriate words and co-occurring words related to that field (here in the financial field). It can be evaluated by determining whether
 一つの実施形態において、検査対象者の金融商品を勧める場面の場合、検査対象者の「理解」を評価するための質問を、「米国の金利が上昇すると、円安になりますか、円高になりますか?」のような金融又は経済の分野の質問とする。この質問に対する回答候補として、「円安になる」をはじめとする「円安」が含まれる回答のデータを「理解」ができていることを示す回答候補としてデータ管理部234又は記憶部24に記憶するとともに、「円高になる」を始めとする「円高」が含まれる回答や「分からない」とする回答のデータを「理解」ができていないことを示す回答候補としてデータ管理部234又は記憶部24に記憶しておく。そして、テキスト解析部232が、商品又はサービスの利用に関連する対話から取得した検査対象者の音声データを変換したテキストを解析する。次に、テキスト解析部232又は判定部233が、そのうちの検査対象者の理解を評価するための質問に対する検査対象者の回答と、データ管理部234又は記憶部24に記憶された回答候補とを比較し、検査対象者の回答が「円安」が含まれる回答と一致する場合には、検査対象者が「理解」ができていると判定し、「円高」や「分からない」が含まれる回答と一致する場合には、検査対象者が「理解」ができていないと判定することができる。 In one embodiment, in the case of a scene in which a financial product is recommended to a person to be inspected, the question to evaluate the person's "understanding" is, "If interest rates in the United States rise, will the yen depreciate? Will the yen appreciate?" Will it be?” in the financial or economic field. As answer candidates for this question, data of answers including "yen depreciation" including "yen depreciation" are stored in the data management unit 234 or the storage unit 24 as answer candidates indicating that "understanding" is possible. In addition to storing, the data management unit 234 stores the data of answers including "strong yen" such as "strong yen" and data of answers "I don't know" as answer candidates indicating that "understanding" is not possible. Alternatively, it is stored in the storage unit 24 . Then, the text analysis unit 232 analyzes the text obtained by converting the speech data of the person to be examined acquired from the dialogue related to the use of the product or service. Next, the text analysis unit 232 or the determination unit 233 analyzes the test subject's answers to the questions for evaluating the test subject's understanding and the answer candidates stored in the data management unit 234 or the storage unit 24. In comparison, if the test subject's answer matches the answer that includes "yen depreciation", it is determined that the test subject has "understanding" and includes "strong yen" and "don't know". If it matches the answer given, it can be determined that the person to be examined does not "understand".
 代わりに、「米国の金利が上昇すると、円安になりますか、円高になりますか?」という質問を、音声ではなく、検査端末10の表示装置15にテキストとして表示し、検査対象者に音声で回答してもらってもよい。 Instead, the question "Will the yen depreciate or appreciate if interest rates in the United States rise?" may be asked to answer by voice.
 代わりに、検査対象者の「理解」を評価するための質問を、自然人である検査者が発するのではなく、データ管理部234又は記憶部24に記憶されたかかる質問の音声データを発してもよい。 Alternatively, instead of having the examiner, who is a natural person, issue questions for evaluating the “understanding” of the person being inspected, voice data of such questions stored in the data management unit 234 or the storage unit 24 may be issued. good.
 このように、金融分野における理解(記憶、連想)を評価することにより、金融リテラシーの有無を評価することができるだけなく、検査対象者の「理解」を評価することもできる。 In this way, by evaluating understanding (memory, association) in the financial field, it is possible not only to evaluate the presence or absence of financial literacy, but also to evaluate the "understanding" of the test subject.
 別の実施形態において、検査対象者の発話の音声データを変換したテキスト中に、単語同士が共起されている場合に、テキスト解析部232又は判定部233が、検査対象者は「理解」していると判定することができる。 In another embodiment, when words co-occur in the text obtained by converting the speech data of the test subject, the text analysis unit 232 or the determination unit 233 determines whether the test subject "understands" It can be determined that
 例えば、金融商品を勧誘する場面では、検査対象者の発話が時事に沿った発話であるか等の点で、検査対象者の記憶の確からしさを判定する。 For example, in the scene of soliciting financial products, the likelihood of the test subject's memory is determined in terms of whether the test subject's utterances are in line with current events.
 図4の時事に関連する例文に示すように、単語が、同一の文中に同時に出現する単語同士は、連想により出現していると捉えることができる。このため、検査対象者が、ある単語と、その単語に関係する話題(エピソード)を記憶しており、文中で単語同士が共起されているとき、記憶を連想できているとみなすことができる。この単語同士の関係を、検査対象者の「理解」を評価に適用すると、同じ文中で共起される頻度が高い単語同士のデータを意思決定能力評価装置20の制御部23のデータ解析部232により解析し、データ管理部234又は記憶部24に記憶・学習しておく。判定部233は、データ解析部232から取得した検査対象者の発話の音声データを変換したテキスト中の同一の文中に共起される単語同士の組み合わせを、データ管理部234又は記憶部24に記憶された単語同士のデータと比較したり、共起される頻度を求めたりすることにより、検査対象者が、記憶を連想できているかを評価することができる。 As shown in the example sentences related to current affairs in Fig. 4, words appearing simultaneously in the same sentence can be regarded as appearing through association. For this reason, when the test subject memorizes a certain word and a topic (episode) related to that word, and the words co-occur in the sentence, it can be considered that the subject can associate the memory. . If this relationship between words is applied to the evaluation of the test subject's "understanding", the data of words that frequently co-occur in the same sentence is analyzed by the data analysis unit 232 of the control unit 23 of the decision-making ability evaluation device 20. , and stored/learned in the data management unit 234 or the storage unit 24 . The determination unit 233 stores, in the data management unit 234 or the storage unit 24, combinations of words co-occurring in the same sentence in the text obtained by converting the speech data of the test subject's speech obtained from the data analysis unit 232. It is possible to evaluate whether or not the test subject is able to associate the memory by comparing with the data of the words obtained and by obtaining the frequency of co-occurrence.
 単語同士のデータを意思決定能力評価装置20のデータ管理部234又は記憶部24に記憶・学習させる、同じ文中で共起される頻度が高い単語同士のデータの取得例を図5-6に示す。 FIG. 5-6 shows an example of obtaining data between words that are frequently co-occurred in the same sentence by storing and learning the data between words in the data management unit 234 or the storage unit 24 of the decision-making ability evaluation device 20. .
 図5(A)に示すような「コロナ」「失業」「生活」「至急」「国」「岸田」「給付金」などの出現頻度が高い単語について、図5(B)に示す入手可能な電子データ、ここではウェブサイトに掲載されている複数の経済政策記事を制御部23が取得し、その文中に出現している図5(A)に示したのと同じ単語の数を制御部23のテキスト解析部232がカウントし、各単語の出現頻度を求める(図5(C))。なお、文を解析し、単語を抽出するための電子データは、テキストデータであれば特に限定されず、例えば、インターネット上の時事に関連するテキストデータに限らず、時事を掲載した新聞、雑誌、研修資料をテキストデータ化したでもよい。また、電子データは時事に関連するものでなくてもよい。 As shown in FIG. 5(A), the available words shown in FIG. The control unit 23 acquires electronic data, here, a plurality of economic policy articles posted on a website, and counts the number of words appearing in the text that are the same as those shown in FIG. The text analysis unit 232 counts and obtains the appearance frequency of each word (FIG. 5(C)). Electronic data for analyzing sentences and extracting words is not particularly limited as long as it is text data. Training materials may be converted into text data. Also, the electronic data does not have to be related to current affairs.
 また、テキスト解析部232が、ウェブサイトに掲載されている経済政策記事中の文を解析し、同じ文中で共起される単語のセットと、その出現頻度を求めることができる(図6(A),(B))。 In addition, the text analysis unit 232 can analyze sentences in economic policy articles posted on websites, and obtain sets of words co-occurring in the same sentence and their frequency of occurrence (Fig. 6 (A ), (B)).
 このような同じ文中で共起される単語のセットを、任意選択で出現頻度とともに、データ管理部234又は記憶部24に記憶・学習させておき、テキスト解析部232から取得した検査対象者の発話の音声データを変換したテキストの中に、データ管理部234又は記憶部24に記憶・学習させたのと同一の文中に単語同士が共起されている場合には、判定部233が、検査対象者は時事について「理解」していると判定することができる。出現頻度が一定数よりも高い単語同士が共起されている場合に、判定部233が、検査対象者は時事について「理解」していると判定してもよい。 Such a set of words co-occurring in the same sentence is optionally stored and learned in the data management unit 234 or the storage unit 24 together with the appearance frequency, and the utterance of the test subject acquired from the text analysis unit 232 If words co-occur in the same sentence stored and learned in the data management unit 234 or the storage unit 24 in the text obtained by converting the speech data of the judgment unit 233, It can be determined that a person "understands" current affairs. When words with an appearance frequency higher than a certain number co-occur, the determination unit 233 may determine that the test subject "understands" the current affairs.
 なお、理解を容易にするために、上述の説明では、同一の文中に単語同士が共起されている場合を例に挙げたが、同一の文中の共起単語の出現に限らず、商品又はサービスの利用に関連する対話における検査対象者の発話全体の音声データを変換したテキスト中の共起単語の出現を調べてもよい。 In order to facilitate understanding, the above description exemplifies the case where words co-occur in the same sentence. Appearance of co-occurring words in the text obtained by converting the speech data of the entire utterance of the test subject in the dialogue related to the use of the service may be examined.
 「記憶」について、認知症者の場合、直近の記憶から忘却することが多いため、直近の時事に関する発言から記憶の有無を判定することができるが、時事が最近の出来事(例えば検査日から1~3ヶ月以内)であれば、そのような時事の電子データを用いた「理解」の評価により、検査対象者には最近の時事に関する記憶があるとみなすことができる。さらなる実施形態では、意思決定能力評価装置20のテキスト解析部232は、電子テキストデータ中に含まれている頻出表現を日付や期間ごとに群に分け(以下、表現群)、群ごとの頻出表現をベクトルで記述してもよい。テキストデータをベクトル化する方法としては、BERT (Bidirectional Encode r Representations from Transformers) 、USE(Universal Serial Encoder) など、既存の任意の機械学習モデルを利用できる。このとき、検査対象者の発話中に含まれる表現と、学習させた表現群との距離が近い(類似度が高い)と、検査対象者の記憶の確からしさが高くなるよう、表現する。 Regarding "memory", since people with dementia often forget from the most recent memory, it is possible to judge the presence or absence of memory from remarks related to the most recent current event. Within ~3 months), it can be considered that the test subject has memory of recent current events based on the evaluation of "understanding" using such electronic data of current events. In a further embodiment, the text analysis unit 232 of the decision-making ability evaluation device 20 divides frequent expressions included in the electronic text data into groups by date and period (hereinafter referred to as expression groups), and divides the frequent expressions into groups. can be written as a vector. Any existing machine learning model such as BERT (Bidirectional Encode r Representations from Transformers) or USE (Universal Serial Encoder) can be used to vectorize text data. At this time, expressions included in the test subject's utterance and the learned expression group are close (high in similarity), and expressions are made so that the likelihood of the test subject's memory is high.
 図7は文章のベクトル化の例である。例えば、(1)で、aとbのような文があるとする。(2)で、これらの文を形態素解析により、単語(トークン)に分割する。(3)で、このトークンに出現頻度に依存した値を割り当てる等すると、文章を数字列に変換することができる。(1)のaは天気、bは交通の内容ではあるが、検査対象者による利用が予定される商品又はサービスの分野におけるデータセット(例えば、金融、経済、時事、医療)を参照すれば、当該分野の用語の特徴が反映しやすいベクトルとなる。 Fig. 7 is an example of vectorization of sentences. For example, in (1), suppose there are sentences a and b. In (2), these sentences are divided into words (tokens) by morphological analysis. In (3), by assigning a value depending on the appearance frequency to this token, the text can be converted into a string of numbers. In (1), a is the weather and b is the traffic content, but referring to the data set in the field of goods or services planned to be used by the test subject (e.g. finance, economy, current affairs, medical care), It becomes a vector that easily reflects the characteristics of terms in the relevant field.
 図8に示すように、特定分野のテキストデータから、共起される単語の組み合わせ含む文章をベクトル化する。例えば、金融・財政の分野のインターネット上の電子テキストデータ50から、共起される単語のセット51を解析し、そのような共起単語を含む文章を多次元ベクトルで記述し、表現群1にクラスタリングする。また、スポーツの分野の分野のインターネット上の電子テキストデータ53から取得した文章も、多次元ベクトルで記述し、表現群2にクラスタリングする。表現群1と表現群2を座標53に示したものがそれぞれ符号54及び符号55である。 As shown in Fig. 8, sentences containing combinations of co-occurring words are vectorized from the text data of a specific field. For example, a set 51 of co-occurring words is analyzed from electronic text data 50 on the Internet in the field of finance and finance, sentences containing such co-occurring words are described by multidimensional vectors, and expression group 1 cluster. In addition, sentences obtained from electronic text data 53 on the Internet in the field of sports are also described by multidimensional vectors and clustered into expression group 2 . The expression group 1 and the expression group 2 are shown at coordinates 53 by reference numerals 54 and 55, respectively.
 ある例文56(発話をテキスト化した文章(話題を含んだ文章)の群1からの距離Dが金融・財政の分野との類似度を示す。距離Dは、各群の重心ベクトルから例文のベクトルまでの距離である。例えば、検査者の発話をテキスト化した文章を分解し、解析した内容が、金融・財政の内容であると、表現群1に近づき、スポーツの内容であると、表現群2に近づく。学習しておいた特定分野の表現群からの距離が近いほど、例文56は、話題に沿っており、発話者はかかる分野の内容を記憶しているとみなせるため、記憶の状態の定量指標とすることができる。例えば、検査対象者の発話をテキスト化した、共起単語を含む文章が、ある特定分野の表現群から一定範囲内にある場合に、判定部233は、検査対象者が「理解」の能力を有すると判定することができる。 The distance D of an example sentence 56 (sentences in which utterances are converted into text (sentences containing topics) from group 1 indicates the degree of similarity with the field of finance. For example, if the contents of the analyzed text of the text of the examiner's utterance are decomposed and the content of finance is closer to expression group 1, and if the content of the analysis is the content of sports, expression group It approaches 2. The closer the distance from the group of expressions in the learned specific field is, the closer the example sentence 56 is to the topic, and the speaker can be considered to have memorized the contents of this field. For example, if a sentence containing co-occurring words obtained by converting the utterance of the person to be inspected into text is within a certain range from a group of expressions in a certain specific field, the determination unit 233 determines that the inspection It can be determined that the subject has the ability of "understanding".
 別の実施形態では、ウェブサイト上の時事データなどの電子テキストデータで学習された双方向エンコード表現モデル(BERTモデル)を用いて、文中の[MASK]を埋める、穴埋め問題をテキスト解析部232が作成し、制御部23の命令により印刷された又は表示部25に表示された当該穴埋め問題を、検査対象者に解答させ、その結果をもとに、検査対象者の「理解」の能力を評価してもよい。BERTモデルによると、 [MASK]を含む入力を与えると、確率又は出現頻度の高い順に[MASK]を埋める単語が得られる。例えば、“米国金利が上がると、日本の株価が[MASK]“を入力した場合、[MASK]には、下がる、上がる、上昇、下落、高騰、高まる、飛ぶ、低迷、落ちる、低下などが上位の単語として、回答が得られる。検査対象者の回答が、BERTにより得られる確率又は出現頻度の高い単語と一致する場合には、検査対象者には「理解」の能力があると判定することができる。検査対象者の回答が、BERTにより得られる確率又は出現頻度の高い単語と一致しない場合には、検査対象者には「理解」の能力がないと判定することができる。 In another embodiment, the text analysis unit 232 fills in the [MASK] in the sentence using a bidirectional encoded expression model (BERT model) learned from electronic text data such as current affairs data on a website. Created and printed by the control unit 23 or displayed on the display unit 25 Fill-in-the-blank questions are answered by the test subject, and based on the results, the test subject's "understanding" ability is evaluated. You may According to the BERT model, given an input containing [MASK], we can obtain words that fill [MASK] in descending order of probability or appearance frequency. For example, if you enter "When U.S. interest rates rise, Japanese stock prices [MASK]", [MASK] contains top The answer is obtained as a word of If the test subject's answer matches the probability obtained by BERT or a word with a high frequency of appearance, it can be determined that the test subject has the ability of "understanding". If the test subject's answer does not match the probability obtained by BERT or a word with a high frequency of appearance, it can be determined that the test subject does not have the ability to "understand".
 次に、「認識」の評価と、「論理的思考」のうちの「(1)結果についての論理的思考」の評価について説明する。 Next, we will explain the evaluation of "recognition" and the evaluation of "(1) logical thinking about results" in "logical thinking".
 上述したように、「認識」とは、提示された情報が全部もしくは一部が、「自分自身と関係している」ことを知っている、及び/又は自分自身が提示された情報から「選択したときの結果を連想」していることを表明することである。 As noted above, "awareness" means knowing that the information presented, in whole or in part, "relates to you" and/or that you "select" from the presented information. It is to express that you are associating the result when you do it.
 このため、(1)話者間で、単語が連想されていること、かつ(2)自分が関わっていることを示す単語が、検査対象者の発話を変換したテキスト中に出現しているか、又は、検査対象者の発話を変換したテキストから容易に推定できること、を評価指標にすることができる。 For this reason, (1) words are associated with each other between speakers, and (2) words that indicate that the speaker is involved appear in the text converted from the utterance of the test subject. Alternatively, it is possible to use the fact that it can be easily estimated from the text obtained by converting the utterance of the person to be inspected into an evaluation index.
 例えば図9は、検査者と、検査対象者の会話である。 For example, Figure 9 is a conversation between the inspector and the person being inspected.
 検査者からの質問60「北野様、満期までお預け入れありがとうございます。 改めて確認になりますが、ご資金のご使用予定などございますか。」に対し、検査対象者の回答61は「そうねえ、(私は※)特に使わない資金だから、また5年程置いておこうかと考えているの。生活資金や老後の入院費用は、預けている分で十分あるので、このお金はすぐに必要ないわね。」である。 In response to question 60 from the examiner, "Mr. Kitano, thank you for your deposit until maturity. I would like to confirm again, but do you have any plans to use the funds?" , (I*) don't use the money in particular, so I'm thinking of putting it aside for about 5 years.Since I have enough money for living expenses and hospitalization expenses after retirement, I need this money soon. No.”
 これらをテキストとして見た場合、検査対象者の回答61には、検査者の質問60の文で共起している単語が、少なくとも一つ(「使う」、「資金」)出現し、また、検査対象者の回答61において、前文と異なる組み合わせで単語が共起している(「使う」、「置く」)。このため、話者間で単語が連想されている。 When these are viewed as text, at least one word (“use”, “funds”) that co-occurs in the sentence of the question 60 of the inspector appears in the response 61 of the person to be inspected, and In the test subject's answer 61, words co-occur in combinations different from those in the preamble ("use", "place"). For this reason, words are associated between speakers.
 検査対象者の回答61の「特に使わない資金だから、」の前には主語が省略されている場合があり、その場合は前後の文章から推測する必要があるが、「私は」「これは」「今は」などが推定されるが、この場合、「私が」埋められる確率が高いと容易に推測でき、自分が関わっていることを示す単語が検査対象者の発話から変換したテキスト中に出現しているとみなすことできる。 In response 61 of the person being tested, the subject may be omitted before ``I don't particularly use funds,'' and in that case, it is necessary to guess from the sentences before and after, but ``I am'', ``This is In this case, it is easy to guess that there is a high probability that "I am" will be filled in, and the words that indicate that you are involved are not included in the text converted from the test subject's utterance. can be regarded as appearing in
 したがって、検査対象者は、検査対象者が「認識」の能力を有すると判定することができる。 Therefore, the test subject can determine that the test subject has the ability of "recognition".
 以上の「認識」の評価を、意思決定能力評価装置20が実施する場合について説明する。図10(A)検査対象者の発話の音声データをテキスト化した文章である。図10(A)のテキストをテキスト解析部232が形態素解析により分解すると、例えば図10(B)のように分解され、リスト化される。「使う」と「資金」の単語は、テキスト解析部232又は判定部233が、検査対象者の発話のテキストデータの前の検査者の発話のテキストデータ中に、同じ単語があるかどうかを比較し、比較結果から、この共起単語が話者間で繰り返し出現していると判定することができる。さらに、検査対象者の発話のテキストデータ中の「使う」と「置く」の単語が出現頻度が高い共起単語か否かも、テキスト解析部232又は判定部233が、予め学習及び/又は記憶しておいた共起単語とを比較し、判定することができる。 A case where the decision-making ability evaluation device 20 performs the above "recognition" evaluation will be described. FIG. 10(A) is a sentence obtained by converting the voice data of the test subject's utterance into text. When the text analysis unit 232 decomposes the text in FIG. 10(A) by morphological analysis, it is decomposed and listed as shown in FIG. 10(B), for example. The text analysis unit 232 or the determination unit 233 compares whether the text data of the inspector's utterance before the text data of the inspector's utterance includes the same words for the words "use" and "funds." Then, from the comparison result, it can be determined that this co-occurring word appears repeatedly among the speakers. Furthermore, the text analysis unit 232 or the determination unit 233 learns and/or stores in advance whether the words “use” and “place” in the text data of the test subject's utterance are co-occurring words with high appearance frequency. The co-occurring words can be compared and determined.
 文章中の主語が省略されている場合、図10(C)に示すように、BERTを用いて主語を推定することができる。 When the subject in the sentence is omitted, the subject can be estimated using BERT, as shown in FIG. 10(C).
 テキスト解析部232が、図10(A)の文章を、主語がない文章であると判定した場合、文頭に、[MASK]は、を追加し、BERTを用いて、[MASK]に入る文言を推定する。本人やその所有物を示す名詞が[MASK]に埋められる場合には、テキスト解析部232又は判定部233は、本人と関連した話題である可能性が高いと推定できる。 When the text analysis unit 232 determines that the sentence in FIG. presume. When a noun indicating the person himself or his property is embedded in [MASK], the text analysis unit 232 or the determination unit 233 can estimate that the topic is likely to be related to the person himself.
 このように、意思決定能力判定部238は、検査対象者が「認識」の能力を有すると判定することができる。 In this way, the decision-making ability determination unit 238 can determine that the test subject has the ability of "recognition".
 さらに、この検査対象者の回答61の回答(図11(A))の中には、「特に使わない資金だから、」(接続助詞)、「預けている分で十分あるので、」(格助詞+助動詞)のような原因、理由、根拠、動機などを示す単語も出現している。(注記:文法は国によって違いがあり、「から」及び「ので」は例えば英語では接続詞に分類される。) Furthermore, among the responses 61 of this test subject (Fig. 11(A)), there are the conjunctive particles ``because I don't particularly use the funds'' (conjunctive), + Auxiliary verbs) also appear to indicate causes, reasons, grounds, motives, etc. (Note: Grammar varies from country to country, ``kara'' and ``because'' are classified as conjunctions in English, for example.)
 図11(A)のテキストを、テキスト解析部232が形態素解析により分解した結果の一部を図11(B)に示すと、「だから」の「だ」は「助動詞」、「から」は「助詞・接続助詞」に分類される(注記:英語では「だから」全体が接続詞に分類される)が、検査対象者の回答のテキストが、検査対象者の回答の前の検査者の発話のテキストと異なる共起単語を含む文章であるにおいて、 「から」、「ので」など、原因、理由などを示す単語を抽出できたときは、その数を「結果についての論理的思考」の能力を評価するための指標とすることができ、例えばその数が一定数以上(例えば1つ以上)である場合に、テキスト解析部232又は判定部233は、検査対象者が「結果についての論理的思考」の能力を有すると判定することができる。図11(C)は実装例を示す。 FIG. 11B shows a part of the result of the text analysis unit 232 decomposing the text of FIG. 11(A) by morphological analysis. Particles/conjunctive particles" (Note: In English, the whole "so" is classified as a conjunction), but the text of the test subject's answer is the text of the test subject's utterance before the test subject's answer. In sentences that contain co-occurring words that differ from  , if you can extract words that indicate the cause or reason, such as ``kara'' or ``so'', evaluate the ability of ``logical thinking about the result'' by counting the number of words For example, when the number is a certain number or more (for example, one or more), the text analysis unit 232 or the determination unit 233 determines that the test subject is "logical thinking about the result" can be determined to have the ability of FIG. 11C shows an implementation example.
 次に、「論理的思考」のうちの「(2)比較する論理的思考」について説明する。
 検査対象者の「比較する論理的思考」の能力の評価では、会話中(すなわち会話を変換したテキストデータ中)に、比較を表す単語や、類似した事物の提示、並列、列挙などを示す単語が出現しているかどうかを評価指標にすることができる。
Next, "(2) logical thinking for comparison" in "logical thinking" will be explained.
In the evaluation of the test subject's ability to "comparative logical thinking", during the conversation (that is, in the text data converted from the conversation), words that express comparison, presentation of similar things, parallelism, enumeration, etc. Appearance can be used as an evaluation index.
 例えば図12(A)及び(B)は、検査者と、検査対象者の会話である。 For example, FIGS. 12(A) and (B) are conversations between the inspector and the person being inspected.
 図12(A)の検査者からの質問「低金利が継続しておりまして、満期の定期金利は0.3%でしたが、現在の金利は5年もので年0.01%です。 100万円で5年後、税金を引いて400円位の受取利息になりますね。金利上昇は望めそうもありません。どのくらいのリターンをご希望でしょうか?」に対し、図12(B)の検査対象者の回答は、「そうねえ、3%位あるといいわね。 400円じゃあ、預けても預けなくても一緒よね。」である。 Question from the examiner in Fig. 12 (A): "Low interest rates have continued, and the regular interest rate at maturity was 0.3%, but the current interest rate is 0.01% per year for 5 years. 1 million yen is 5 After a year, the interest income will be about 400 yen after taxes.It is unlikely that interest rates will rise.How much return would you like?" ``Well, it would be nice to have about 3%.
 検査対象者の回答には、比較を表す単語である係助詞「も」が出現している。2つの「も」の前には並列の単語(名詞)が出現するため選択肢がその文章に内在しているとみなすことができ、検査対象者に「比較する論理的思考」ができていると判定することができる。 In the answers of the test subjects, the relative particle "mo", which is a word that expresses comparison, appears. Parallel words (nouns) appear in front of the two "mo", so it can be considered that the alternative is inherent in the sentence, and the test subject is able to "think logically to compare". can judge.
 「比較する論理的思考」の「認識」の評価を、意思決定能力評価装置20が実施する場合、検査対象者の発話の音声データを変換したテキストをテキスト解析部232が形態素解析などにより分解する。次に、分解されたリスト中に、比較を表す単語や、類似した事物の提示、並列、列挙などを示す単語が出現しているときに、テキスト解析部232又は判定部233は、検査対象者が「比較する論理的思考」の能力を有すると判定することができる。図12(C)は実装例を示す。 When the decision-making ability evaluation device 20 evaluates the "recognition" of the "logical thinking to be compared", the text analysis unit 232 decomposes the text obtained by converting the speech data of the test subject's utterance by morphological analysis or the like. . Next, when a word representing comparison or a word representing presentation, parallel, enumeration, etc. of similar things appears in the decomposed list, the text analysis unit 232 or the determination unit 233 can be determined to have the ability of "comparative reasoning". FIG. 12C shows an implementation example.
 比較を表す単語としては、「より」(格助詞:AよりB)、「も」(係助詞:AもBも)、「か」(副助詞:AかB)、「が」(接続助詞:Aだが、B)などが挙げられる。 Examples of comparative words include yori (case particle: A to B), ``mo'' (relative particle: both A and B), ``ka'' (adjunct particle: A or B), and ``ga'' (conjunctive particle). : A, but B) and so on.
 次に、「論理的思考」のうちの「(3)論理的一貫性」の判定について説明する。 Next, we will explain the determination of "(3) logical consistency" in "logical thinking".
 上述のように、「論理的一貫性」は、 (2)の比較結果を導き、会話中を通じて「連想に断絶がなく」、選択の表明に至るまでの過程である。 As mentioned above, ``logical consistency'' is the process leading to the comparison result of (2), ``no discontinuity in association'' throughout the conversation, and the process leading up to the declaration of choice.
 検査対象者の「論理的一貫性」の能力の評価では、話者間の発言のポジティブ(+)・ネガティブ(-)の合理性の有無を評価指標にすることができる。 In evaluating the test subject's "logical consistency" ability, the presence or absence of positive (+) and negative (-) remarks between speakers can be used as an evaluation index.
 例えば図13は、検査者と、検査対象者の会話である。 For example, Fig. 13 is a conversation between an inspector and an inspection subject.
 検査者の発話62「お客様は米ドル建てでお持ちですから、資産価値が上昇しています。コロナが落ち着いて経済回復が期待できれば、お客様の資産も上昇が期待できそうです。」に対して、検査対象者の発話63は「ワクチン接種が早く広まると、よくなっていくしていくんじゃないかしら。」である。 In response to the inspector's utterance 62, "The customer's assets are denominated in US dollars, so the asset value is rising. If the coronavirus calms down and the economy can be expected to recover, the customer's assets can also be expected to rise." The subject's utterance 63 is "I wonder if vaccination will get better if vaccination spreads quickly."
 検査者の発話62は、検査対象者が利得を得られる情報を、ポジティブとみなすものした場合に、相手にとってポジティブな内容であり、検査対象者の発話63も、検査者の発話62の内容がポジティブであることを理解した発言である。 The examiner's utterance 62 has positive contents for the other party when the information that the examinee can obtain gain is regarded as positive, and the examiner's utterance 63 also has the content of the examiner's utterance 62. It is a statement that is understood to be positive.
 このため、対話において、話者を超えて、ポジティブ、ネガティブが一致しているとき、会話の論理に一貫性があるとみなすことができる。 For this reason, in dialogue, when positive and negative are consistent beyond the speaker, it can be considered that the logic of the conversation is consistent.
 「論理的一貫性」の評価を、意思決定能力評価装置20が実施する場合、機械学習モデルを使用して、テキスト解析部322が、特定分野(本実施例では金融分野)の電子テキストデータにネガティブ、ニュートラル、ポジティブの3極のラベルを付与し(ネガティブとポジティブの2種のラベルでもよい)、この、予め学習済みデータに基づいて、テキスト解析部322又は判定部323が、話者の発話のテキストの極性を判定し、話者間の極性の整合性から、論理の一貫性を判定することができる。検査者と検査対象者の対話が、ポジティブとポジティブの関係にある場合、あるいはネガティブとネガティブの関係にある場合、テキスト解析部322又は判定部323は、検査対象者の発話に「論理的一貫性」があると判定することができる。それ以外の関係の場合に、テキスト解析部322又は判定部323は、検査対象者の発話に「論理的一貫性」がないと判定することができる。 When the decision-making ability evaluation device 20 evaluates "logical consistency", using a machine learning model, the text analysis unit 322 analyzes electronic text data in a specific field (financial field in this embodiment) Three labels of negative, neutral, and positive are given (two labels of negative and positive may be used), and based on this pre-learned data, the text analysis unit 322 or the determination unit 323 determines the speaker's utterance. The polarity of the text can be determined, and from the consistency of polarity between speakers, the consistency of logic can be determined. When the dialogue between the inspector and the test subject is in a positive-positive relationship or in a negative-negative relationship, the text analysis unit 322 or the determination unit 323 determines whether the test subject's utterance has "logical consistency." ” can be determined. In other relationships, the text analysis unit 322 or the determination unit 323 can determine that there is no "logical consistency" in the test subject's utterance.
 より具体的な例を挙げると、事前にWikipediaを学習済みのBERTモデルを用いて、有価証券報告書に含まれている文章にネガティブ、ニュートラル、ポジティブのラベルを付与して、ネガポジの分類器を作成する。BERTモデルを用いた学習には大量の文(約1000~100000文など)の電子データを利用する。図14の符号64は、テストに使用された文である。同一文章内に、ネガティブとポジティブの文章が含まれている場合は、両方のラベルを付与する。図14の符号65に示すようなモデル文をテキスト解析部322又は判定部323に判定させた場合、ポジティブ(+)と判定される。 To give a more specific example, using a BERT model that has been trained on Wikipedia in advance, we assign negative, neutral, and positive labels to sentences included in securities reports, and use a negative-positive classifier. create. A large amount of electronic data (approximately 1,000 to 100,000 sentences, etc.) is used for learning using the BERT model. Reference numeral 64 in FIG. 14 is the sentence used for the test. If the same sentence contains negative and positive sentences, both labels are given. When the text analysis unit 322 or the determination unit 323 determines a model sentence as indicated by reference numeral 65 in FIG. 14, it is determined as positive (+).
 主に、文中に回復、増収、などの動詞が含まれる場合にはポジティブ、減退、減収などの動詞が含まれる場合にはネガティブとなり、これらの動詞と同時に出現する名詞やその他の固有の表現の組み合わせなどを含めて、文章全体を学習する。 Mainly, if the sentence contains verbs such as recovery, increase, etc., it will be positive, and if it contains verbs such as decline, decrease, it will be negative. Study the entire sentence, including combinations.
 なお、一方の話者の発話のテキストの内容が、他方の話者にとってネガティブであるにもかかわらず、逆接的に解釈し、ポジティブにとらえる場合もある。あるいは、他方の話者にとってポジティブであるにもかかわらず、逆接的に解釈し、ネガティブにとらえる場合もある。この場合、他方の話者の発話のテキスト中に、逆接の意味を示す「しかし」(接続詞)や、「が」「でも」(接続助詞)などが含まれていることを検出することによっても、ポジティブと、逆説の品詞を含むネガティブの関係から、テキスト解析部322又は判定部323は、検査対象者の発話に「論理的一貫性」があると判定することができる。 In addition, although the content of the text of one speaker's utterance is negative for the other speaker, it may be interpreted inversely and perceived as positive. Alternatively, even though it is positive for the other speaker, it may be interpreted adversely and perceived negatively. In this case, it is also possible by detecting that the text of the other speaker's utterance contains ``but'' (conjunctive), ``ga'', ``but'' (conjunctive particle), etc. , positive and negative including paradoxical parts of speech, the text analysis unit 322 or the determination unit 323 can determine that the test subject's utterance has "logical consistency".
 以上の説明によれば、検査対象者の「理解」「認識」「論理的思考」の能力を評価するためのシステム構成を当業者は容易に理解することができる。 According to the above explanation, a person skilled in the art can easily understand the system configuration for evaluating the "understanding", "recognition", and "logical thinking" abilities of the test subject.
 「選択の表明」の判定とは、「選択の表明」の有無を判定することである。検査対象者に対してなされる1又は複数の質問は、選択の表明を評価するための質問を含むようにする。選択の表明を評価するための質問とは、例えば、「(この)商品又はサービスの利用についてのより詳しい説明を希望されますか」「(この)商品又はサービスを利用されますか?」というようなものである。 Determining "statement of choice" means determining the presence or absence of "statement of choice". The one or more questions posed to the test subject include questions to evaluate the choice statement. Questions for evaluating the choice statement are, for example, "Would you like more information about the use of (this) product or service?", "Do you use (this) product or service?" It is.
 変換部231は、選択の表明を評価するための質問に対する検査対象者の回答を変換したテキストデータのうち、選択の表明に相当するテキストの部分に対してアノテーションを付与する。 The conversion unit 231 annotates the portion of the text corresponding to the statement of choice among the text data obtained by converting the test subject's answers to the questions for evaluating the statement of choice.
 選択の表明を評価するための質問に対する検査対象者の回答を変換したテキストデータに基づいて、判定部233は、検査対象者の「選択の表明」を判定する。例えば、「選択の表明」は、「お願いします。」「教えてくれる。」「紹介してくれる。」「話を聞こうかしら。」のような肯定的なテキストデータである場合に、「選択の表明」が有ると判定でき、「結構です。」「不要です。」「要らない。」のような否定的なテキストデータである場合に、「選択の表明」が無いと判定できる。 The determination unit 233 determines the "statement of choice" of the test subject based on the text data converted from the test subject's answer to the question for evaluating the statement of choice. For example, if the "statement of choice" is positive text data such as "please", "tell me", "introduce", It can be determined that there is a "statement of choice", and in the case of negative text data such as "Yes", "No need", "No need", it can be determined that there is no "statement of choice".
 選択の表明を評価するための質問に対する検査対象者の回答の候補を、データ管理部234又は記憶部24に記憶しておくことにより、検査対象者の回答が、データ管理部234又は記憶部24に記憶された肯定的な回答候補と一致する場合には、判定部233が「選択の表明」が有ると判定し、否定的な回答候補と一致する場合には、判定部233が「選択の表明」が無いと判定する。 By storing candidate answers of the person to be examined to the question for evaluating the expression of selection in the data management unit 234 or the storage unit 24, the answers of the person to be examined are stored in the data management unit 234 or the storage unit 24. If it matches the affirmative answer candidate stored in , the determination unit 233 determines that there is a “statement of selection”, and if it matches a negative answer candidate, the determination unit 233 determines “selection It is determined that there is no "statement".
 以上のデータ処理の手順で、判定部233は検査対象者の「理解」、「論理的思考」及び「選択の表明」を判定する。それぞれの項目の判定結果は、制御部23が表示部25に表示させてもよいし、印刷機に印刷させてもよい。 With the above data processing procedure, the determination unit 233 determines the "understanding", "logical thinking", and "expression of choice" of the person to be examined. The determination result of each item may be displayed on the display unit 25 by the control unit 23 or printed by the printer.
 「理解」、「認識」、「論理的思考」、及び「選択の表明」のいずれの判定結果も肯定であった場合、判定部233はさらに、検査対象者は商品又はサービスの利用の意思決定能力を有すると判定することができる。また、「理解」、「認識」、「論理的思考」、及び「選択の表明」の少なくともいずれか一つの判定結果が否定であった場合、判定部233はさらに、検査対象者は商品又はサービスの利用の意思決定能力を有しないと判定することができる。このような検査対象者は商品又はサービスの利用の意思決定能力を有するか否かの総合的な判定結果は、制御部23が表示部25に表示させてもよいし、印刷機に印刷させてもよい。 If all of the determination results of "understanding", "recognition", "logical thinking", and "expression of choice" are affirmative, the determination unit 233 further determines that the person to be examined has made a decision to use the product or service. It can be determined that it has the ability. In addition, if the determination result of at least one of “understanding”, “recognition”, “logical thinking”, and “expression of choice” is negative, the determination unit 233 further determines that the person to be inspected is a product or service. can be determined not to have decision-making capacity for the use of The control unit 23 may cause the display unit 25 to display the comprehensive determination result as to whether the person to be inspected has the decision-making ability to use the product or service, or the printing machine may print the result. good too.
 以下、検査者と検査対象者の会話の具体例を示す。表3に、定期預金の満期が近づいている顧客C(検査対象者)に、銀行の職員(検査者)が、運用の報告をするとともに、別の金融商品を勧める場面であり、本発明の実施形態の意思決定能力評価装置を用いて、顧客Cが、金融商品を利用するのに十分な意思決定能力があるかどうかを判定する具体例を示す。 Below is a specific example of the conversation between the inspector and the test subject. Table 3 shows a scene in which a bank employee (inspector) reports on the operation of customer C (inspected person) whose time deposit is nearing maturity and recommends another financial product. A specific example of determining whether or not the customer C has sufficient decision-making ability to use financial products using the decision-making ability evaluation device of the embodiment will be shown.
 会話No.1の職員の質問に対して、会話No.2で、顧客Cが回答している。上記認識」の評価と、「論理的思考」のうちの「(1)結果についての論理的思考」の評価に関して説明したように、意思決定能力判定部238は、顧客Cの回答の音声データが変換されたテキストデータに基づいて、顧客Cの「認識」と「論理的思考」の能力がPositiveであると判定することができる。 Conversation No. Conversation no. At 2, customer C has answered. As explained with regard to the evaluation of "the above recognition" and the evaluation of "(1) logical thinking about the result" in the "logical thinking", the decision-making ability determination unit 238 determines that the voice data of the answer of customer C is Based on the converted text data, it can be determined that customer C's "recognition" and "logical thinking" abilities are positive.
 会話No.3は、職員からの、検査対象者の「論理的思考」のうちの「比較する論理的思考」を評価するための質問であり、会話No.4は、顧客Cからの、それに対する回答である。上記「比較する論理的思考」の評価に関して説明したように、意思決定能力判定部238は、顧客Cの回答の音声データが変換されたテキストデータに基づいて、顧客Cの「論理的思考」が肯定であると判定することができる。 Conversation No. Conversation No. 3 is a question from the staff to evaluate the "logical thinking to be compared" among the "logical thinking" of the person being examined. 4 is a reply to it from customer C. As described above regarding the evaluation of the “logical thinking to be compared”, the decision-making ability determination unit 238 determines whether the “logical thinking” of customer C is It can be determined to be affirmative.
 会話No.5は、職員からの、検査対象者の「理解」を評価するための質問であり、会話No.6は、顧客Cの応答である。意思決定能力判定部238(テキスト解析部232又は判定部233)は、顧客Cの回答の音声データが変換されたテキストデータに基づいて、顧客Cの「理解」が肯定であると判定することができる。 Conversation No. 5 is a question from the staff to evaluate the "understanding" of the test subject. 6 is customer C's response. The decision-making ability determination unit 238 (the text analysis unit 232 or the determination unit 233) can determine that the "understanding" of the customer C is affirmative based on the text data obtained by converting the voice data of the answer of the customer C. can.
 会話No.7と会話No.8のセット、会話No.9と会話No.10のセットは、検査対象者の「論理的思考」のうちの「論理的一貫性」を評価するための質問である。
検査者の会話No.7のテキストの内容と検査対象者の会話No.8のテキストの内容はいずれもポジティブである。また、検査者の会話No.9のテキストの内容と検査対象者の会話No.10のテキストの内容はいずれもポジティブである。
Conversation No. 7 and Conversation No. Set of 8, Conversation No. 9 and Conversation No. A set of 10 is a question for evaluating the "logical coherence" of the test subject's "logical thinking".
Examiner's Conversation No. 7 and conversation No. 7 of the subject. The contents of the 8 texts are all positive. In addition, the examiner's conversation No. 9 and conversation No. 9 of the test subject. All 10 texts are positive.
 このため、意思決定能力判定部238(テキスト解析部232又は判定部233)は、職員-顧客Cの発話のテキストデータのポジティブ-ポジティブな対応から、顧客Cは「論理的思考」の能力がある(肯定)と判定することができる。 Therefore, the decision-making ability determination unit 238 (the text analysis unit 232 or the determination unit 233) determines that the customer C has the ability of "logical thinking" from the positive-positive correspondence of the text data of the utterance of the employee-customer C. (affirmative) can be determined.
 会話No.9は、職員からの、検査対象者の選択の表明を評価するための質問であり、会話No.10は、顧客Cからの、それに対する回答である。会話No.9の職員の「投信信託などで運用してみてはいかがでしょうか?」との質問に対し、会話No.10で顧客Cは「投資信託で運用しよう」と答えている。このため、意思決定能力判定部238(テキスト解析部232又は判定部233)は、顧客Cの回答のテキストデータに基づいて、顧客Cは「選択の表明」ができている(肯定)であると判定することができる。 Conversation No. 9 is a question from a staff member to evaluate the test subject's selection. 10 is a reply to it from customer C. Conversation No. Conversation No. 9 responded to the question, "Why don't you try investing in an investment trust?" At 10, customer C answers, "Let's invest in an investment trust." Therefore, the decision-making ability determination unit 238 (the text analysis unit 232 or the determination unit 233) determines that the customer C has made a "statement of choice" (positive) based on the text data of the customer C's answer. can judge.
 会話No.1~No.10の時点で、顧客Cの「理解」「認識」「論理的思考」「選択の表明」がいずれも肯定であることが意思決定能力判定部238(テキスト解析部232又は判定部233)により判定されたので、この判定結果をもとに、顧客Cは検査対象者には金融商品(本例では投資信託)の利用を勧めるのに十分であると決定でき、次のステップとして、具体的な金融商品の紹介に移ることができる。 Conversation No. 1 to No. At time point 10, the decision-making ability determination unit 238 (text analysis unit 232 or determination unit 233) determines that Customer C's "understanding", "recognition", "logical thinking", and "expression of choice" are all affirmative. Therefore, based on this judgment result, customer C can decide that it is sufficient to recommend the use of financial products (in this example, investment trusts) to the person being inspected. You can move on to the introduction of financial products.
 このように、本実施形態の意思決定能力評価装置20によれば、商品購入やサービス利用の意思決定過程において、取引に応じた必要なリテラシーを確認できる質問及び回答候補を意思決定能力評価装置20に学習及び記憶しておくことにより、勧誘者が顧客である検査対象者に対し、検査端末10を用いてプロダクト利用の説明し、その様子を生体情報(音声データ)を記録しながら、リアルタイムで可視化(テキスト化、数値化)し、その場で顧客が意思決定能力を有しているかを逐次判定することができるため、検査者の検査技能を不問とし、検査対象者のリテラシーの有無をコンピュータの支援により迅速かつ高精度に確認することができる。 As described above, according to the decision-making ability evaluation device 20 of the present embodiment, in the decision-making process of purchasing a product or using a service, the decision-making ability evaluation device 20 can provide questions and answer candidates that can confirm necessary literacy according to transactions. , the solicitor uses the inspection terminal 10 to explain the use of the product to the person to be inspected, who is the customer, and records the situation in real time while recording biometric information (voice data). It is possible to visualize (text, digitize) and judge whether the customer has decision-making ability on the spot. can be confirmed quickly and with high accuracy.
Figure JPOXMLDOC01-appb-T000003
Figure JPOXMLDOC01-appb-T000003
(2)目の動きのデータを用いた意思決定能力の評価
 上記(1)のテキストデータを用いた意思決定能力の評価で説明した検査対象者の「理解」の評価に加えて、あるいはその代わりに、検査対象者の目の動きのデータを用いて、意思決定能力評価装置が、検査対象者の「理解」の評価をしてもよい。上記(1)のテキストデータを用いた意思決定能力の評価に加えて、目の動きのデータを用いた検査対象者の「理解」の評価も行えば、「理解」の評価の精度をさらに高めることができる。
(2) Evaluation of decision-making ability using eye movement data In addition to or instead of evaluation of the subject's "understanding" explained in (1) Evaluation of decision-making ability using text data In addition, the decision-making ability evaluation device may evaluate the "understanding" of the test subject using the eye movement data of the test subject. In addition to the evaluation of decision-making ability using the text data in (1) above, if the subject's "understanding" is also evaluated using eye movement data, the accuracy of the "understanding" evaluation will be further improved. be able to.
 一実施形態では、検査者の質問が、商品又はサービスの利用に関連する文書を前記検査対象者に読ませる指示を含む。意思決定能力評価装置20は、検査端末10の撮像装置18で検査対象者を時系列で撮影し、リアルタイムで検査端末10から送信される検査対象者の顔の画像データを、画像データ取得部235にて取得する。次に、画像データ取得部235にて取得された検査対象者の顔の画像データを、視線測定部236が解析し、目の動き(視線の軌跡)を抽出し、視線の軌跡を測定する。判定部233は、視線測定部236から受信した視線の軌跡の測定結果に基づいて、検査対象者の「理解」を判定する。つまり、判定部233は、商品又はサービスの利用に関する文書を読んでいる最中の検査対象者の目の動きから推定される視線の軌跡に基づいて、検査対象者の理解の評価として短期記憶(検査者の認知機能が低下しているか否か)を評価する。 In one embodiment, the inspector's question includes an instruction to have the inspected person read a document related to the use of goods or services. The decision-making ability evaluation apparatus 20 captures images of the person to be examined in time series with the imaging device 18 of the examination terminal 10, and acquires the image data of the person to be examined that is transmitted from the examination terminal 10 in real time. to obtain. Next, the line-of-sight measurement unit 236 analyzes the face image data of the inspection subject acquired by the image data acquisition unit 235, extracts the movement of the eyes (line-of-sight trajectory), and measures the line-of-sight trajectory. The determination unit 233 determines the “understanding” of the person to be examined based on the measurement result of the line-of-sight trajectory received from the line-of-sight measurement unit 236 . That is, the determination unit 233 uses short-term memory ( (whether or not the examiner's cognitive function is declining).
 視線の軌跡を用いた短期記憶の有無の判定は以下の通りである。 The determination of the presence or absence of short-term memory using the trajectory of gaze is as follows.
 重要な事項が記載された文書を読解しようとしたとき、直近に記載されていた内容を記憶として蓄積し、論理構造を把握しながら、文字情報を処理して必要がある。しかしながら、認知症者の場合、直近の記憶から忘却することが多いため、読解を進めていくうちに、直前の記憶を忘却するため、前文へ遡って、再度読み直すことになる。 When trying to read and understand a document containing important matters, it is necessary to accumulate the most recently written content as a memory and process the character information while grasping the logical structure. However, since people with dementia often forget the most recent memory, they forget the most recent memory as they read, so they go back to the previous sentence and read it again.
 図15(A),(B)に、利用規約40を読んでいるときの赤線で各時刻での視線測定部236により測定される被検査者の視線の軌跡を示す。利用規約40は紙の利用規約であってもよいし、表示部25に表示された電子データの利用規約であってもよい。目の動きから推定される視線位置を意思決定能力評価装置20の表示部25の画面上の座標位置(以下、視線位置)で記述する。図15(A)に示すように、健常者の場合、視線位置の軌跡はほとんど遡ることがない。しかし、図15(B)に示すように、認知機能が低下した人の場合、直前で示された内容を再度確かめるため、視線位置が一度通過した箇所に再度遡る。 In FIGS. 15(A) and (B), the red line shows the trajectory of the examinee's line of sight measured by the line of sight measurement unit 236 at each time when the user is reading the terms of use 40 . The terms of use 40 may be a paper terms of use, or may be a terms of use of electronic data displayed on the display unit 25 . The line-of-sight position estimated from the eye movement is described by a coordinate position (hereinafter referred to as line-of-sight position) on the screen of the display unit 25 of the decision-making ability evaluation device 20 . As shown in FIG. 15A, in the case of a healthy person, the trajectory of the line-of-sight position hardly goes back. However, as shown in FIG. 15(B), in the case of a person whose cognitive function has deteriorated, in order to reconfirm the content shown immediately before, the line-of-sight position goes back to the place once passed.
 図15(A),(B)に示した被検査者の視線の軌跡をさらに解析するに際し、図16(A)に示すように、原文を形態素ごとに解析し、形態素ごとに番号(以下、視線位置番号)を定める。形態素が存在する領域(以下、形態素領域)を座標位置等で定義する。視線位置が、いずれの各形態素の座標領域に含まれているか時系列に記録する。図16(B)と図16(C)は、視線位置番号の時間的な変化を示した模式図である。目の動きから推定される視線位置を意思決定能力評価装置20の表示部25の画面上の座標位置(以下、視線位置)で記述する。図16(B)が健常者の場合、図16(C)が認知機能が低下し、記憶が低下した人の視線位置の変化の模式図を示す。 15(A) and (B), the original text is analyzed for each morpheme, and each morpheme is numbered (hereinafter referred to as line of sight position number). A region in which a morpheme exists (hereinafter referred to as a morpheme region) is defined by a coordinate position or the like. The line-of-sight position is recorded in chronological order as to which coordinate region of each morpheme the line-of-sight position is included in. FIGS. 16B and 16C are schematic diagrams showing temporal changes in line-of-sight position numbers. The line-of-sight position estimated from the eye movement is described by a coordinate position (hereinafter referred to as line-of-sight position) on the screen of the display unit 25 of the decision-making ability evaluation device 20 . FIG. 16(B) shows a schematic diagram of a change in the line-of-sight position of a healthy person, and FIG. 16(C) shows a change in the line-of-sight position of a person with impaired cognitive function and memory.
 視線位置を用いた短期記憶の能力は、例えば、視線が一定の時間以上滞留した単語が、時期特異的な単語か否か、また、その単語と共起する単語を用いて、そのような単語を検査対象者が発話できるか否かで判定する。 For example, the ability of short-term memory using the gaze position is determined whether a word that the gaze stays for a certain time or more is a period-specific word. is determined by whether or not the person to be examined can speak.
 短期記憶の能力別に、時系列データを分類する。各データを多次元空間で表現する。少なくとも一つ以上あるクラスタの分離境界を関数として定義し、上記時系列データから、短期記憶の能力を推定できる。 Classify time-series data by short-term memory ability. Represent each data in a multidimensional space. By defining at least one cluster separation boundary as a function, short-term memory ability can be estimated from the time-series data.
 例えば、視線の軌跡の時系列データを、健常者、MCI患者、認知症患者の3つに分類する。健常者、MCI患者、認知症患者のそれぞれの視線の軌跡の時系列データは、意思決定能力評価装置20のデータ管理部234又は記憶部24に記憶される。これらのデータを、視線の軌跡の基準データとし、判定部233が基準データと検査対象者の視線の軌跡の時系列データとを比較することにより、検査対象者の理解の有無(短期記憶)を認知機能障害を有する患者の基準に基づいて評価することができる。 For example, the time-series data of gaze trajectories are classified into three categories: healthy subjects, MCI patients, and dementia patients. The time-series data of the line-of-sight trajectories of the healthy subject, the MCI patient, and the dementia patient are stored in the data management unit 234 or the storage unit 24 of the decision-making ability evaluation device 20 . These data are used as reference data of the trajectory of the line of sight, and the determination unit 233 compares the reference data with the time-series data of the trajectory of the line of sight of the test subject to determine whether or not the test subject understands (short-term memory). Evaluation can be based on criteria for patients with cognitive impairment.
 なお、目の動きから推定される視線の軌跡に基づく認知機能の評価には、目の動きにより認知機能を評価する任意の方法を使用してもよい。例えばSci Rep. 2019 Sep 10;9(1):12932. doi: 10.1038/s41598-019-49275-xに記載されたアイトラッキング式認知機能評価法を参照されたい。 Any method that evaluates cognitive function based on eye movement may be used to evaluate cognitive function based on the line of sight trajectory estimated from eye movement. See, for example, the eye-tracking cognitive assessment method described in Sci Rep. 2019 Sep 10;9(1):12932. doi: 10.1038/s41598-019-49275-x.
(3)顔の向きのデータを用いた意思決定能力の評価
 上記(1)のテキストデータを用いた意思決定能力の評価で説明した検査対象者の「理解」の評価に加えて、あるいはその代わりに、検査対象者の顔の向きのデータを用いて、意思決定能力評価装置が、検査対象者の「理解」の評価をしてもよい。上記(1)のテキストデータを用いた意思決定能力の評価に加えて、顔の向きのデータを用いた検査対象者の「理解」の評価も行えば、「理解」の評価の精度をさらに高めることができる。
(3) Evaluation of decision-making ability using face direction data In addition to or instead of evaluation of the subject's "understanding" explained in (1) Evaluation of decision-making ability using text data In addition, the decision-making ability evaluation device may evaluate the "understanding" of the test subject using the face direction data of the test subject. In addition to the evaluation of decision-making ability using the text data in (1) above, if the subject's "understanding" is also evaluated using the face direction data, the accuracy of the "understanding" evaluation will be further improved. be able to.
 一実施形態では、検査者の質問が、商品又はサービスの利用に関連する文書を前記検査対象者に読ませる指示を含む。意思決定能力評価装置20は、検査端末10の撮像装置18で検査対象者を時系列で撮影し、リアルタイムで検査端末10から送信される画像データを、画像データ取得部235にて取得する。次に、画像データ取得部235にて取得する。次に、画像データ取得部235にて取得された検査対象者の顔の画像データを、顔向き測定部237が解析し、顔の向きを測定する。判定部233は、顔向き測定部237から受信した顔の向きの測定結果に基づいて、検査対象者の「理解」を判定する。つまり、商品又はサービスの利用に関する質問を受けている最中の検査対象者の顔の向きの時間変化に基づいて、検査対象者の理解の評価として短期記憶(検査者の認知機能が低下しているか否か)を判定する。 In one embodiment, the inspector's question includes an instruction to have the inspected person read a document related to the use of goods or services. The decision-making ability evaluation apparatus 20 captures images of the subject in time series with the imaging device 18 of the inspection terminal 10 , and acquires the image data transmitted from the inspection terminal 10 in real time by the image data acquisition unit 235 . Next, the image data acquisition unit 235 acquires the data. Next, the face orientation measurement unit 237 analyzes the image data of the face of the person to be inspected acquired by the image data acquisition unit 235, and measures the orientation of the face. The determination unit 233 determines the “understanding” of the person to be examined based on the face direction measurement result received from the face direction measurement unit 237 . In other words, based on the temporal change in the direction of the face of the test subject while receiving questions about the use of products or services, the evaluation of the test subject's understanding of short-term memory or not).
 顔の向きの測定結果を用いた短期記憶の有無の判定は以下の通りである。 The determination of the presence or absence of short-term memory using the measurement results of face orientation is as follows.
 一般に、認知機能が低下すると、表情がなくなり、眼前の出来事への興味が低下する。したがって、判定基準は適宜設定し得るが、例えば、検査端末に対して顔が正対しているときの向きを基準として、基準角度からの顔の向きのズレを回転角度で記述し、この回転角度に基づいて判定し得る。健常者は、顔の向きの角度が、基準角度に近似している時間が長い。これに対し、注意の強さが下がるにつれて、検査対象者の顔の向きが、基準角度からずれている時間が長くなる。 In general, when cognitive function declines, facial expressions disappear and interest in events in front of one's eyes declines. Therefore, the criteria for determination can be set as appropriate. can be determined based on A healthy person spends a long time in which the angle of the face orientation approximates the reference angle. On the other hand, as the strength of attention decreases, the time period during which the orientation of the face of the person to be examined deviates from the reference angle increases.
 撮影された動画の画像から、顔を抽出し、顔が端末に対し、正対しているときを基準とする。基準から、顔の向きのズレを回転角度で記述する。健常者の場合、重要な事項を説明しているときには、顔の向きの角度は基準角度に近似している時間が長くなる。しかし、注意の強さが下がるにつれ、顔の向きの角度が基準角度からずれている時間が長くなる。この特徴に着目する。顔向き測定部237は、単位時間あたりの顔の向きの角度の時間変化を時系列データで記述する。 The face is extracted from the captured video image, and the time when the face is facing the terminal is used as a reference. Describe the deviation of the orientation of the face from the reference in terms of the angle of rotation. In the case of a healthy person, when explaining an important matter, the angle of the face orientation approximates the reference angle for a long period of time. However, as the strength of attention decreases, the time during which the angle of the orientation of the face deviates from the reference angle increases. Focus on this feature. The face direction measurement unit 237 describes the temporal change in the angle of the face direction per unit time as time-series data.
 注意の能力別に、時系列データを分類し、各データを多次元空間で表現する。少なくとも一つ以上あるクラスタの分離境界を関数として定義することで、上記時系列データから、短期記憶の能力を推定できる。 Classify the time-series data according to attentional ability, and represent each data in a multidimensional space. By defining the separation boundary of at least one or more clusters as a function, short-term memory ability can be estimated from the time-series data.
 例えば、顔の向きの時系列データを、健常者、MCI患者、認知症患者の3つに分類する。健常者、MCI患者、認知症患者のそれぞれの顔の向きの時系列データは、意思決定能力評価装置20のデータ管理部234又は記憶部24に記憶される。これらのデータを、顔の向きの基準データとし、判定部233が基準データと検査対象者の顔の向きの時系列データとを比較することにより、検査対象者の理解の有無(短期記憶)を認知機能障害を有する患者の基準に基づいて評価することができる。 For example, the time-series data of face orientation is classified into three categories: healthy subjects, MCI patients, and dementia patients. The time-series data of the face orientations of the healthy subject, the MCI patient, and the dementia patient are stored in the data management unit 234 or the storage unit 24 of the decision-making ability evaluation device 20 . These data are used as reference data for the orientation of the face, and the determination unit 233 compares the reference data with the time-series data of the orientation of the face of the examination subject to determine the presence or absence of understanding (short-term memory) of the examination subject. Evaluation can be based on criteria for patients with cognitive impairment.
 なお、顔の表情に基づく認知機能の評価には、任意の方法を使用してもよい。例えば2021 Jan 25;13(2):1765-1772, DOI 10.18632/aging.202545に記載されたAIを用いた顔の表情による認知機能評価法を参照されたい。 Any method may be used to evaluate cognitive functions based on facial expressions. See, e.g., 2021 Jan 25;13(2):1765-1772, DOI 10.18632/aging.202545, Facial Expression-Based Cognitive Assessment Method Using AI.
(4)本実施形態の意思決定能力評価システムを用いて実行される処理
 ここで、本実施形態の意思決定能力評価システムを用いて実行される各処理について説明する。
(4) Processing Executed Using the Decision-Making Ability Evaluation System of this Embodiment Here, each processing executed using the decision-making ability evaluation system of this embodiment will be described.
 本実施の形態では、検査端末10を操作する検査者、例えば検査対象者を検査する医師等が、検査対象者に対して、あらかじめ用意された検査用の質問をする。検査用の質問については、例えば、上記に説明した通りである。 In the present embodiment, an inspector who operates the inspection terminal 10, for example, a doctor who inspects the person to be inspected, asks the person to be inspected questions prepared in advance. Test questions are, for example, as described above.
 質問に対する検査対象者の回答は、検査者又は検査対象者が検査端末10を操作するにより、録音される。 The inspection subject's answer to the question is recorded by the inspector or the inspection subject operating the inspection terminal 10.
 図17は、本実施形態の検査端末10で実行される処理の流れを示すフローチャートである。図17に示す処理は、検査者によって録音の開始が指示されると起動するプログラムとして、制御部13によって実行される。 FIG. 17 is a flowchart showing the flow of processing executed by the inspection terminal 10 of this embodiment. The processing shown in FIG. 17 is executed by the control unit 13 as a program that is activated when the examiner instructs the start of recording.
 図17に示すように、検査端末10において、検査者又は検査対象者により録音の開始が指示されると、制御部13が、マイクロフォン17を介して入力される音声データを取得して制御部13が備えるメモリ又は記憶部104に記録することにより、検査対象者による発話音声を録音する(S10)。 As shown in FIG. 17 , when the inspector or the person to be inspected instructs the inspection terminal 10 to start recording, the control unit 13 acquires voice data input via the microphone 17 and controls the control unit 13 By recording in the memory or storage unit 104 provided in the, the uttered voice of the person to be examined is recorded (S10).
 次に、検査者は、操作部11を操作して、検査対象者の検査開始を制御部13に指示する。検査開始の制御部13への指示は、検査対象者への質問を終え、検査対象者からの回答が得られた場合のみに行ってもよいし、検査が開始された後の任意の時点で行ってもよい。検査端末10の制御部13は、検査開始の指示があると判断すると(S20)と、録音した検査対象者の発話内容を示す音声データを通信接続部12を介して意思決定能力評価装置20へ送信する(S30)。 Next, the inspector operates the operation unit 11 to instruct the control unit 13 to start the inspection of the person to be inspected. The instruction to start the examination may be given to the control unit 13 only when the question to the person to be examined is finished and the answer from the person to be examined is obtained, or at any time after the examination is started. you can go When the control unit 13 of the test terminal 10 determines that there is an instruction to start the test (S20), it transmits the recorded voice data indicating the content of the test subject's utterance to the decision-making ability evaluation device 20 via the communication connection unit 12. Send (S30).
 意思決定能力評価装置20では、制御部23が、検査端末10から検査対象者の発話内容の音声データを受信すると、検査対象者の意思決定能力評価の処理を開始する。制御部23によって実行される判定処理については後述する。 In the decision-making ability evaluation device 20, when the control unit 23 receives the speech data of the test subject's utterance content from the test terminal 10, the test subject's decision-making ability evaluation process is started. The determination processing executed by the control unit 23 will be described later.
 意思決定能力評価装置20が、上述の判定処理によって得た判定結果を通信接続部22を介して検査端末10へ送信すると、検査端末10では、制御部13が判定結果を受信し(S40)、判定結果を表示装置15(S50)へ出力する。例えば、制御部13は、検査対象者が商品又はサービスの利用の意思決定能力を有すると判定された場合は、その内容を表示装置15に表示する。制御部13は、検査対象者が商品又はサービスの利用の意思決定能力を有しないと判定された場合は、その内容を表示装置15に表示する。これによって、検査者は、検査対象者が商品又はサービスの利用の意思決定能力を有するか否かを把握することができる。 When the decision-making ability evaluation device 20 transmits the determination result obtained by the determination process described above to the inspection terminal 10 via the communication connection unit 22, the control unit 13 of the inspection terminal 10 receives the determination result (S40), The determination result is output to the display device 15 (S50). For example, the control unit 13 displays the contents on the display device 15 when it is determined that the person to be examined has the decision-making ability to use the product or service. When it is determined that the person to be examined does not have the decision-making ability to use the product or service, the control unit 13 displays the content on the display device 15 . This allows the inspector to grasp whether or not the person to be inspected has the decision-making ability to use the product or service.
 図18は、本実施形態の意思決定能力評価装置20で実行される処理の流れを示すフローチャートである。図18に示す処理は、検査端末10から検査対象者の発話内容の音声データを受信すると起動するプログラムとして、制御部23によって実行される。 FIG. 18 is a flow chart showing the flow of processing executed by the decision-making ability evaluation device 20 of this embodiment. The processing shown in FIG. 18 is executed by the control unit 23 as a program that is activated when the voice data of the utterance content of the person to be inspected is received from the inspection terminal 10 .
 検査対象者は、商品又はサービスの利用に関する質問を受けている最中に、音声で回答する。意思決定能力評価装置20は、制御部23が、検査端末10から検査対象者の発話内容の音声データを受信することにより、検査対象者が発話した音声データを取得する(S110)。  The test subject will answer by voice while receiving questions about the use of the product or service. The control unit 23 of the decision-making ability evaluation apparatus 20 acquires the speech data of the person to be examined by receiving the speech data of the speech content of the person to be examined from the examination terminal 10 (S110).
 次に、変換部231は、音声データ取得部230により取得された検査者の発話の音声データと検査対象者の発話の音声データの音声認識を行い、個々の発話を特定できる形で、テキストデータに変換する(S120)。次に、判定部233は、変換部231により変換されたテキストデータに基づいて、検査対象者の商品又はサービスの利用の意思決定能力を判定する(S130)。検査対象者の商品又はサービスの利用の意思決定能力の、意思決定能力評価装置20による判定の詳細については、「2.意思決定能力評価装置又は意思決定能力評価システムによる検査対象者の評価」の「(1)テキストデータを用いた意思決定能力の評価」「(2)目の動きのデータを用いた意思決定能力の評価」「(3)顔の向きのデータを用いた意思決定能力の評価」で詳細に説明した通りである。 Next, the conversion unit 231 performs voice recognition on the voice data of the inspector's utterance and the voice data of the inspection subject's utterance acquired by the voice data acquisition unit 230, and converts each utterance into text data in a form that can be specified. (S120). Next, the determination unit 233 determines the decision-making ability of the person to be inspected regarding the use of products or services based on the text data converted by the conversion unit 231 (S130). For details of determination of the decision-making ability of the test subject to use products or services by the decision-making ability evaluation device 20, see "2. Evaluation of the test subject by the decision-making ability evaluation device or the decision-making ability evaluation system". "(1) Evaluation of decision-making ability using text data" "(2) Evaluation of decision-making ability using eye movement data" "(3) Evaluation of decision-making ability using face orientation data" , as explained in detail.
 次に、制御部23は、判定処理によって得た判定結果を通信接続部22を介して検査端末10へ送信する(S140)。その後、処理を終了する。 Next, the control unit 23 transmits the determination result obtained by the determination process to the inspection terminal 10 via the communication connection unit 22 (S140). After that, the process ends.
 以上説明した実施の形態によれば、以下のような作用効果を得ることができる。
(1)制御部23は、検査端末10から、検査対象者の商品又はサービスの利用に関する質問に対する発話または回答を音声データとして取得し、検査対象者の商品又はサービスの利用における意思決定能力を判定するようにした。質問が検査対象者の商品又はサービスの利用に関する質問であるため、単なる認知機能の診断とは異なり、検査対象者の商品又はサービスの利用に応じた検査対象者の意思決定能力を、迅速かつより高精度に評価することができる。
(2)制御部23が「理解」、「認識」、「論理的思考」、及び「選択の表明」の有無を判定することにより、検査対象者が商品又はサービスの利用に関する意思決定能力を有するか否かをより高精度に判定するようにした。これによって、単なる認知機能の診断とは異なり、商品又はサービスの利用における意思決定能力をより高精度に評価することができる。
(3)本実施形態の商品又はサービスの利用における検査対象者の意思決定能力を評価する意思決定能力評価は、検査対象者の生体情報(音声、目の動き、顔の向き)を用いて行っている。検査対象者は質問に口頭で答えるだけで検査を行うことができる。このため、検査者の訓練は不要であり、意思決定能力評価装置20による自動的な検査を行い、検査者によるばらつきが軽減又は排除された検査結果を得ることができる。
(4)本実施形態の商品又はサービスの利用における検査対象者の意思決定能力を評価する意思決定能力評価は、検査対象者の生体情報(音声、目の動き、顔の向き)を用いて行っている。検査対象者は質問に口頭で答えるだけで検査を行うことができる。このため、書類への記述を要する検査と比べて、検査対象者の負担を軽減することができる。
(5)制御部23は、検査対象者が商品又はサービスの利用に対する意思決定能力を有するか否かの判定結果を検査端末10へ出力する。これによって検査対象者、検査者、又はその両方が、検査対象者が意思決定能力を有するか否かを把握することができる。
According to the embodiment described above, the following effects can be obtained.
(1) The control unit 23 acquires, from the inspection terminal 10, utterances or answers to questions regarding the use of goods or services of the person being inspected as voice data, and determines the decision-making ability of the person being inspected in using the goods or services. I made it Since the questions are about the test subject's use of goods or services, unlike simple diagnosis of cognitive function, the test subject's decision-making ability in response to the test subject's use of the product or service can be quickly and more accurately evaluated. Highly accurate evaluation is possible.
(2) The control unit 23 determines whether or not there is "understanding", "recognition", "logical thinking", and "expression of choice", so that the person to be examined has decision-making ability regarding the use of goods or services. Whether or not is determined with higher accuracy. This makes it possible to more accurately evaluate decision-making ability in the use of products or services, unlike mere diagnosis of cognitive functions.
(3) Evaluation of decision-making ability for evaluating the decision-making ability of the test subject in using the product or service of this embodiment is performed using the biometric information (voice, eye movement, face direction) of the test subject. ing. The test subject can perform the test simply by answering the questions verbally. For this reason, the examiner's training is unnecessary, and the examination can be automatically performed by the decision-making ability evaluation device 20, and examination results can be obtained in which variations due to examiners are reduced or eliminated.
(4) Decision-making ability evaluation for evaluating the decision-making ability of the test subject in using the product or service of this embodiment is performed using the test subject's biometric information (voice, eye movement, face direction). ing. The test subject can perform the test simply by answering the questions verbally. Therefore, it is possible to reduce the burden on the person to be inspected as compared with an inspection that requires description on a document.
(5) The control unit 23 outputs to the inspection terminal 10 the determination result as to whether or not the person to be inspected has decision-making ability regarding the use of the product or service. This allows the test subject, the tester, or both to ascertain whether the test subject has decision-making ability.
 本発明は、以上説明してきた実施形態に限られず、以下のような種々の変形が可能である。
(1)商品又はサービスの利用に関する質問は、検査者が発する場合に限られず、他の者が発してもよいし、あるいは意思決定能力評価装置20のデータ管理部234又は記憶部24に記憶されていて、適時に制御部23の命令により自動読み出しされてもよい。
(2)上述の実施形態では、検査端末10と意思決定能力評価装置20とが通信接続されており、意思決定能力評価装置20の制御部23は、検査端末10から検査対象者の発話音声データを受信して、検査対象者の意思決定能力を行っていた。しかしながら、意思決定能力評価装置20を単独で用いてもよい。例えば、図19に示すように、意思決定能力評価装置20が操作部21、スピーカー2、マイクロフォン27、撮像装置28とを備える。検査者が意思決定能力評価装置20を操作して、意思決定能力評価装置20に検査対象者の発話音声データを入力させ、判定処理の開始を指示するようにし、制御部23が、判定結果を意思決定能力評価装置20の表示装置25へ出力して表示するようにしてもよい。意思決定能力評価装置20を単体で用いることにより、スタンドアロン型の装置として利用することができる。
(3)図20に示すように、検査対象者が検査端末10を操作し、検査者は検査端末10とは離れた第2の検査端末30を備え、これによって、インターネットなどの通信回線を介して、検査端末10と第2の検査端末30とは互いに通信接続できるとともに、意思決定能力評価装置20とも通信接続することで、クライアントサーバー型やクラウド型の判定システムを構築することもできる。第2の検査端末30は、検査端末10に関して説明したような、操作部31と、通信接続部32と、制御部33と、記憶部34と、ディスプレイ等の表示装置35と、スピーカー36と、マイクロフォン37と、撮像装置38とを備えることができ、検査端末10と第2の検査端末30は音声及び画像を通じて対話を行うことができる。
(4)検査対象者が商品又はサービスの利用における意思決定能力を有するかどうかの判断基準は、商品又はサービスの内容に応じてその商品又はサービスの分野の当業者が適時設定してよい。例えば、金融商品の購入のための判定には、閾値として商品ごとに異なる値を設定するようにしてもよい。
(5)判定部233を省略し、テキスト解析部232とが、判定部233が行う判定処理を行う構成としてもよい。
(6)意思決定能力評価装置20が、「理解」、「認識」、「論理的思考」、並びに「選択の表明」を、全部評価することが意思決定能力の評価の精度の点で好ましいが、4つのすべてを評価しなくてもよい。例えば、意思決定能力評価装置20が「理解」、「認識」、及び「論理的思考」の3つを評価し、「選択の表示」は人の検査者が評価してもよい。あるいは、意思決定能力評価装置20が、「理解」、「認識」、および「論理的思考」のうちの少なくとも2つを評価してもよい。あるいは、意思決定能力評価装置20が「理解」および「認識」のうちの1つと、「論理的思考」とを評価してもよい。あるいは、意思決定能力評価装置20が、「理解」、「論理的思考」、及び「選択の表明」の3つを評価してもよいし、「理解」と「論理的思考」の2つや、「認識」と「論理的思考」の2つを評価してもよい。意思決定能力評価装置20が「理解」、「認識」、又は「論理的思考」のいずれか1つを評価することもあり得る。
(7)意思決定能力評価装置20が「理解」、「認識」、「論理的思考」の3つを判定できるが、前記検査対象者の音声データが前記検査対象者の理解を評価するための質問に対する検査対象者の回答を含まない場合に、「理解」を判定しないことができる。この場合、検査対象者の音声データが検査対象者の認識を評価するための質問に対する検査対象者の回答と、検査対象者の論理的思考を評価するための質問に対する検査対象者の回答とを含めば、意思決定能力評価装置20は「認識」及び「論理的思考」の2つを判定する。同様に、検査対象者の音声データが検査対象者の認識を評価するための質問に対する検査対象者の回答を含まない場合に、「認識」を判定せず、及び検査対象者の音声データが検査対象者の論理的思考を評価するための質問に対する検査対象者の回答を含まない場合に、「論理的思考」を判定しないことができる。
The present invention is not limited to the embodiments described above, and the following various modifications are possible.
(1) Questions regarding the use of products or services are not limited to those issued by the examiner, and may be issued by another person, or stored in the data management unit 234 or the storage unit 24 of the decision-making ability evaluation device 20. and may be automatically read by an instruction from the control unit 23 at appropriate times.
(2) In the above-described embodiment, the test terminal 10 and the decision-making ability evaluation device 20 are connected for communication, and the control unit 23 of the decision-making ability evaluation device 20 receives the test subject's utterance voice data from the test terminal 10. received and performed the decision-making ability of the test subject. However, the decision-making ability evaluation device 20 may be used alone. For example, as shown in FIG. 19, a decision-making ability evaluation device 20 includes an operation unit 21, a speaker 2, a microphone 27, and an imaging device . The examiner operates the decision-making ability evaluation device 20 to input speech data of the person to be examined into the decision-making ability evaluation device 20, instruct the start of the determination process, and the control unit 23 outputs the determination result. You may make it output to the display apparatus 25 of the decision-making ability evaluation apparatus 20, and display it. By using the decision-making ability evaluation device 20 alone, it can be used as a stand-alone device.
(3) As shown in FIG. 20, the person to be inspected operates the inspection terminal 10, and the inspector is equipped with a second inspection terminal 30 separate from the inspection terminal 10, so that the inspection can be performed via a communication line such as the Internet. The testing terminal 10 and the second testing terminal 30 can be connected for communication with each other, and can also be connected for communication with the decision-making ability evaluation device 20, so that a client-server type or cloud type determination system can be constructed. The second inspection terminal 30 includes an operation unit 31, a communication connection unit 32, a control unit 33, a storage unit 34, a display device 35 such as a display, a speaker 36, and the like as described for the inspection terminal 10. A microphone 37 and an imaging device 38 can be provided, and the inspection terminal 10 and the second inspection terminal 30 can interact through voice and images.
(4) Criteria for judging whether a person to be tested has decision-making ability in the use of a product or service may be set as appropriate by a person skilled in the field of the product or service according to the content of the product or service. For example, in determining whether to purchase a financial product, a different threshold value may be set for each product.
(5) The determination unit 233 may be omitted, and the text analysis unit 232 may perform determination processing performed by the determination unit 233 .
(6) It is preferable that the decision-making ability evaluation device 20 evaluates all of "understanding", "recognition", "logical thinking", and "expression of choice" in terms of accuracy of evaluation of decision-making ability. , all four may not be evaluated. For example, the decision-making ability evaluation device 20 may evaluate three of "understanding,""recognition," and "logical thinking," and "indication of choice" may be evaluated by a human examiner. Alternatively, the decision-making ability evaluation device 20 may evaluate at least two of "understanding", "recognition", and "logical thinking". Alternatively, the decision-making ability evaluation device 20 may evaluate one of "understanding" and "recognition" and "logical thinking". Alternatively, the decision-making ability evaluation device 20 may evaluate three of "understanding", "logical thinking", and "expression of choice", or two of "understanding" and "logical thinking", Both "recognition" and "logical thinking" may be evaluated. The decision-making ability evaluation device 20 may evaluate any one of "understanding", "recognition", or "logical thinking".
(7) The decision-making ability evaluation device 20 can determine three of "understanding", "recognition", and "logical thinking", but the speech data of the test subject is used to evaluate the understanding of the test subject. "Understanding" may not be determined if it does not include the test subject's answer to the question. In this case, the test subject's voice data is the test subject's answer to the question for evaluating the test subject's recognition and the test subject's answer to the question for evaluating the test subject's logical thinking. If included, the decision-making ability evaluation device 20 judges two of "recognition" and "logical thinking". Similarly, if the test subject's voice data does not include the test subject's answer to the question for evaluating the test subject's recognition, "recognition" is not determined and the test subject's voice data "Logical thinking" may not be determined if it does not include the test subject's answers to questions for evaluating the subject's logical thinking.
(8)「論理的思考」の(1)結果についての論理的思考及び推測、(2)比較する論理的思考、(3)論理的一貫性は、全部評価することが意思決定能力の評価の精度の点で好ましいが、3つのすべてを評価しなくてもよい。(1)~(3)のうちのいずれか1つ又は2つを評価してもよい。
(9)抽出されたテキストの一部(単語やフレーズ)を記憶部24に記憶しておき、制御部23が、これを意思決定能力の有無や程度の判定結果と共に、表示部25に表示又はチェックシートや面談録などの紙媒体に印刷するようにしてもよい。
(10)意思決定能力評価装置20による判定結果から、例えば検査対象者である顧客が利用を希望する商品又はサービスの利用(例えば各種取引)に必要なリテラシーに基づき、顧客に強化すべき流動性知能を伝え、顧客がトレーニングを図ることで、取引能力を自主的に強化でき、長期に渡り、意思決定能力を維持できるようにしてもよい。
(11)意思決定能力評価装置20による判定結果を、検査者と検査対象者である顧客が双方で共有し、モバイル端末などで持ち運びできるようにし、他勧誘者との取引で利用できるようにすることもできる。
(12)ある商品の勧誘から購入の決定までの過程以外の目的にも、本発明の意思決定能力評価装置、意思決定能力評価システム、及び意思決定能力評価方法を用いてもよい。
(13)本発明の意思決定能力評価装置、意思決定能力評価システム、又は意思決定能力評価方法を用いてある意思決定能力評価にて検査対象者から収集されたデータを、別の意思決定能力評価にて検査対象者から収集されたデータとともに、将来の本発明の意思決定能力評価装置、意思決定能力評価システム、又は意思決定能力評価方法のために用いてもよい。
(14)上記(13)で連携されたデータを意思決定能力評価装置又は意思決定能力評価システムのいずれかの装置がログとして保存しておき、さらにこれを商品内容、判定結果、及び/又はインシデントと関連付け、かかるデータセットを用いて、商品別の取引の複雑さや難解さを定量化することができる。
(15)上記(13)で連携されたデータを意思決定能力評価装置又は意思決定能力評価システムのいずれかの装置がログとして保存しておき、さらにこれを商品内容、判定結果、及び/又はインシデントと関連付け、例えば判定結果が否定である場合には訴訟リスク等と意思決定能力評価装置を学習させておくことで、かかるデータセットを用いて訴訟リスク予測を推定することができる。
(16)意思決定能力評価装置20は複数の装置に分かれていてもよく、意思決定能力判定部238の音声データ取得部230、変換部231、テキスト解析部232、判定部233、データ管理部234、画像取得部235、視線測定部236、顔向き測定部237の各々による動作が、物理的に離れた複数の意思決定能力評価装置20で行われてもよい。

 本開示は、以下の実施形態も包含する。
 項1.商品又はサービスの利用における検査対象者の意思決定能力を評価するために使用される意思決定能力評価装置であって、
 商品又はサービスの利用に関連する対話から、検査対象者の音声データを取得する音声データ取得部と、
 前記音声データ取得部により取得された検査対象者の音声データをテキストデータに変換する変換部と、
 前記変換部により変換されたテキストデータに基づいて、検査対象者の商品又はサービスの利用の意思決定能力を判定する意思決定能力判定部と、
を備える意思決定能力評価装置において、
 前記検査対象者の音声データは、
 前記検査対象者の理解を評価するための質問に対する検査対象者の回答、
 前記検査対象者の認識を評価するための質問に対する検査対象者の回答、および
 前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答、
のうちの少なくとも2つを含み、
 前記検査対象者の音声データが前記検査対象者の理解を評価するための質問に対する検査対象者の回答を含む場合には、前記意思決定能力判定部による意思決定能力の判定は、前記検査対象者の理解を評価するための質問に対する検査対象者の回答を変換したテキストデータに基づいて、検査対象者の理解を判定することを含み、
 前記検査対象者の音声データが前記検査対象者の認識を評価するための質問に対する検査対象者の回答を含む場合には、前記意思決定能力判定部による意思決定能力の判定は、前記検査対象者の認識を評価するための質問に対する検査対象者の回答を変換したテキストデータに基づいて、検査対象者の認識を判定することを含み、
及び
 前記検査対象者の音声データが前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答を含む場合には、前記意思決定能力判定部による意思決定能力の判定は、前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答を変換したテキストデータに基づいて、検査対象者の論理的思考を判定することを含む、意思決定能力評価装置。
 項2.前記検査対象者の音声データは、検査対象者の選択の表明を評価するための質問に対する検査対象者の回答を含み、
 前記意思決定能力判定部による意思決定能力の判定は、
 前記検査対象者の選択の表明を評価するための質問に対する検査対象者の回答を変換したテキストデータに基づいて、検査対象者の選択の表明を判定することを含む、項1に記載の意思決定能力評価装置。
 項3.前記意思決定能力判定部による意思決定能力の判定は、商品又はサービスの利用に関連する対話における検査対象者の発話の音声データを変換したテキスト中に、共起される頻度が高い単語同士が共起されている場合に、検査対象者が理解していると判定することを含む、項1または2に記載の意思決定能力評価装置。
 項4.前記検査対象者の音声データは、検査対象者の理解を評価するための質問に対する検査対象者の回答を含み、
 前記検査対象者の理解を評価するための質問は、時事に関連するテキストデータで学習された機械学習モデルを用いて作成された、特定の分野の第1の表現と、前記表現と共に出現する頻度が高い第2の表現とを含む文章のうちの第2の表現の穴埋め問題である、項1または2に記載の意思決定能力評価装置。
 項5.音声データ取得部は、検査対象者の認識を評価するための質問と、前記検査対象者の認識を評価するための質問に対する検査対象者の回答とを含み、
 前記意思決定能力判定部は、
 前記検査対象者の認識を評価するための質問の音声データを変換したテキストと、前記検査対象者の回答の音声データを変換したテキストとに、少なくとも一つ同じ単語が共通して出現していること、
 前記検査対象者の回答の音声データを変換したテキスト中の、前記共通して出現している単語と別の単語との共起の組み合わせが、前記検査対象者の認識を評価するための質問中の、前記共通して出現している単語と別の単語との共起の組み合わせと異なっていること、及び
 検査対象者に関連する単語が前記検査対象者の回答を変換したテキスト中に出現していること
を判定する、項1~4のいずれか一項に記載の意思決定能力評価装置。
 項6.前記検査対象者の音声データは、前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答を含み、
 前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答を変換したテキストデータが、比較を表す単語、又は類似した事物の提示、並列、もしくは列挙を示す単語を含む、項1~4のいずれか一項に記載の意思決定能力評価装置。
 項7.前記意思決定能力判定部による意思決定能力の判定は、
 前記検査対象者の理解を評価するための質問を変換したテキストデータと、それに対する検査対象者の回答を変換したテキストデータとの内容が、ポジティブかネガティブであるかに基づいて、検査対象者の論理的思考を判定することを含む、項1~4のいずれか一項に記載の意思決定能力評価装置。
 項8.商品又はサービスの利用における検査対象者の意思決定能力を評価するために使用される意思決定能力評価装置であって、
 商品又はサービスの利用に関連する対話から、検査対象者の音声データを取得する音声データ取得部と、
 前記音声データ取得部により取得された検査対象者の音声データをテキストデータに変換する変換部と、
 前記変換部により変換されたテキストデータに基づいて、検査対象者の商品又はサービスの利用の意思決定能力を判定する意思決定能力判定部と、
を備える意思決定能力評価装置において、
 前記意思決定能力判定部による意思決定能力の判定は、商品又はサービスの利用に関連する対話における検査対象者の発話の音声データを変換したテキスト中に、共起される頻度が高い単語同士が共起されている場合に、検査対象者が「理解」していると判定することを含む、意思決定能力評価装置。
 項9.商品又はサービスの利用における検査対象者の意思決定能力を評価するために使用される意思決定能力評価装置であって、
 商品又はサービスの利用に関連する対話から、検査対象者の音声データを取得する音声データ取得部と、
 前記音声データ取得部により取得された検査対象者の音声データをテキストデータに変換する変換部と、
 前記変換部により変換されたテキストデータに基づいて、検査対象者の商品又はサービスの利用の意思決定能力を判定する意思決定能力判定部と、
を備える意思決定能力評価装置において、
 前記検査対象者の音声データは、検査対象者の理解を評価するための質問に対する検査対象者の回答を含み、
 前記検査対象者の理解を評価するための質問は、時事に関連するテキストデータで学習された機械学習モデルを用いて作成された、特定の分野の第1の表現と、前記表現と共に出現する頻度が高い第2の表現とを含む文章のうちの第2の表現の穴埋め問題である、意思決定能力評価装置。
 項10.商品又はサービスの利用における検査対象者の意思決定能力を評価するために使用される意思決定能力評価装置であって、
 商品又はサービスの利用に関連する対話から、検査対象者の音声データを取得する音声データ取得部と、
 前記音声データ取得部により取得された検査対象者の音声データをテキストデータに変換する変換部と、
 前記変換部により変換されたテキストデータに基づいて、検査対象者の商品又はサービスの利用の意思決定能力を判定する意思決定能力判定部と、
を備える意思決定能力評価装置において、
 音声データ取得部は、検査対象者の認識を評価するための質問と、前記検査対象者の認識を評価するための質問に対する検査対象者の回答とを含み、
 前記意思決定能力判定部は、
 前記検査対象者の認識を評価するための質問の音声データを変換したテキストと、前記検査対象者の回答の音声データを変換したテキストとに、少なくとも一つ同じ単語が共通して出現していること、
 前記検査対象者の回答の音声データを変換したテキスト中の、前記共通して出現している単語と別の単語との共起の組み合わせが、前記検査対象者の認識を評価するための質問中の、前記共通して出現している単語と別の単語との共起の組み合わせと異なっていること、及び
 検査対象者に関連する単語が前記検査対象者の回答を変換したテキスト中に出現していること
を判定する、意思決定能力評価装置。
 項11.商品又はサービスの利用における検査対象者の意思決定能力を評価するために使用される意思決定能力評価装置であって、
 商品又はサービスの利用に関連する対話から、検査対象者の音声データを取得する音声データ取得部と、
 前記音声データ取得部により取得された検査対象者の音声データをテキストデータに変換する変換部と、
 前記変換部により変換されたテキストデータに基づいて、検査対象者の商品又はサービスの利用の意思決定能力を判定する意思決定能力判定部と、
を備える意思決定能力評価装置において、
 前記検査対象者の音声データは、前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答を含み、
 前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答を変換したテキストデータが、比較を表す単語、又は類似した事物の提示、並列、もしくは列挙を示す単語を含む、意思決定能力評価装置。
 項12.商品又はサービスの利用における検査対象者の意思決定能力を評価するために使用される意思決定能力評価装置であって、
 商品又はサービスの利用に関連する対話から、検査対象者の音声データを取得する音声データ取得部と、
 前記音声データ取得部により取得された検査対象者の音声データをテキストデータに変換する変換部と、
 前記変換部により変換されたテキストデータに基づいて、検査対象者の商品又はサービスの利用の意思決定能力を判定する意思決定能力判定部と、
を備える意思決定能力評価装置において、
 前記意思決定能力判定部による意思決定能力の判定は、
 前記検査対象者の理解を評価するための質問を変換したテキストデータと、それに対する検査対象者の回答を変換したテキストデータとの内容が、ポジティブかネガティブであるかに基づいて、検査対象者の論理的思考を判定することを含む、意思決定能力評価装置。
 項13.前記検査対象者の音声データは、前記検査対象者の理解を評価するための質問に対する検査対象者の回答を含み、
 前記検査対象者の理解を評価するための質問は、商品又はサービスの利用に関連する文書を前記検査対象者に読ませる指示を含み、
 前記意思決定能力評価装置は、
 検査対象者の画像データを取得する画像取得部と、
 前記画像取得部により取得された検査対象者の顔の画像データを解析して、視線の軌跡を測定する視線測定部をさらに含み、
 前記意思決定能力判定部は、前記視線測定部から受信した視線の軌跡の測定結果に基づいて、検査対象者の理解を判定する項1に記載の意思決定能力評価装置。
 項14.前記検査対象者の音声データは、前記検査対象者の理解を評価するための質問に対する検査対象者の回答を含み、
 前記検査対象者の理解を評価するための質問は、商品又はサービスの利用に関連する文書を前記検査対象者に読ませる指示を含み、
 前記意思決定能力評価装置は、
 検査対象者の画像データを取得する画像取得部と、
 前記画像取得部により取得された検査対象者の顔の画像データを解析して、顔の向きを測定する顔向き測定部をさらに含み、
 前記意思決定能力判定部は、前記顔向き測定部から受信した顔の向きの測定結果に基づいて、検査対象者の理解を判定する項1に記載の意思決定能力評価装置。
 項15.商品又はサービスの利用における検査対象者の意思決定能力を評価するための意思決定能力評価システムであって、検査端末と、前記検査端末と通信接続された項1~14のいずれかに記載の意思決定能力評価装置とを備え、
 前記意思決定能力評価装置の音声データ取得部は、前記検査端末から受信した商品又はサービスの利用に関連する対話から、検査対象者の音声データを取得する、意思決定能力評価システム。
 項16.商品又はサービスの利用における検査対象者の意思決定能力を評価するために使用される意思決定能力評価プログラムであって、コンピュータを、
 商品又はサービスの利用に関連する対話から、検査対象者の音声データを取得する音声データ取得部と、
 前記音声データ取得部により取得された検査対象者の音声データをテキストデータに変換する変換部と、
 前記変換部により変換されたテキストデータに基づいて、検査対象者の商品又はサービスの利用の意思決定能力を判定する意思決定能力判定部と、
として機能させる意思決定能力評価プログラムにおいて、
 前記検査対象者の音声データは、
 前記検査対象者の理解を評価するための質問に対する検査対象者の回答、
 前記検査対象者の認識を評価するための質問に対する検査対象者の回答、および
 前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答、
のうちの少なくとも2つを含み、
 前記検査対象者の音声データが前記検査対象者の理解を評価するための質問に対する検査対象者の回答を含む場合には、前記意思決定能力判定部による意思決定能力の判定は、前記検査対象者の理解を評価するための質問に対する検査対象者の回答を変換したテキストデータに基づいて、検査対象者の理解を判定することを含み、
 前記検査対象者の音声データが前記検査対象者の認識を評価するための質問に対する検査対象者の回答を含む場合には、前記意思決定能力判定部による意思決定能力の判定は、前記検査対象者の認識を評価するための質問に対する検査対象者の回答を変換したテキストデータに基づいて、検査対象者の認識を判定することを含み、
及び
 前記検査対象者の音声データが前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答を含む場合には、前記意思決定能力判定部による意思決定能力の判定は、前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答を変換したテキストデータに基づいて、検査対象者の論理的思考を判定することを含む、意思決定能力評価プログラム。
 項17.前記検査対象者の音声データは、検査対象者の選択の表明を評価するための質問に対する検査対象者の回答を含み、
 前記意思決定能力判定部による意思決定能力の判定は、前記検査対象者の選択の表明を評価するための質問に対する検査対象者の回答を変換したテキストデータに基づいて、検査対象者の選択の表明を判定することを含む、項16に記載の意思決定能力評価プログラム。
 項18.前記意思決定能力判定部による意思決定能力の判定は、商品又はサービスの利用に関連する対話における検査対象者の発話の音声データを変換したテキスト中に、共起される頻度が高い単語同士が共起されている場合に、検査対象者が理解していると判定することを含む、項16または17に記載の意思決定能力評価プログラム。
 項19.前記検査対象者の音声データは、検査対象者の理解を評価するための質問に対する検査対象者の回答を含み、
 前記検査対象者の理解を評価するための質問は、時事に関連するテキストデータで学習された機械学習モデルを用いて作成された、特定の分野の第1の表現と、前記表現と共に出現する頻度が高い第2の表現とを含む文章のうちの第2の表現の穴埋め問題である、項16または17に記載の意思決定能力評価プログラム。
 項20.音声データ取得部は、検査対象者の認識を評価するための質問と、前記検査対象者の認識を評価するための質問に対する検査対象者の回答とを含み、
 前記意思決定能力判定部は、
 前記検査対象者の認識を評価するための質問の音声データを変換したテキストと、前記検査対象者の回答の音声データを変換したテキストとに、少なくとも一つ同じ単語が共通して出現していること、
 前記検査対象者の回答の音声データを変換したテキスト中の、前記共通して出現している単語と別の単語との共起の組み合わせが、前記検査対象者の認識を評価するための質問中の、前記共通して出現している単語と別の単語との共起の組み合わせと異なっていること、及び
 検査対象者に関連する単語が前記検査対象者の回答を変換したテキスト中に出現していること
を判定する、項16~19のいずれか一項に記載の意思決定能力評価プログラム。
 項21.前記検査対象者の音声データは、前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答を含み、
 前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答を変換したテキストデータが、比較を表す単語、又は類似した事物の提示、並列、もしくは列挙を示す単語を含む、項16~19のいずれか一項に記載の意思決定能力評価プログラム。
 項22.前記意思決定能力判定部による意思決定能力の判定は、前記検査対象者の理解を評価するための質問を変換したテキストデータと、それに対する検査対象者の回答を変換したテキストデータとの内容が、ポジティブかネガティブであるかに基づいて、検査対象者の論理的思考を判定することを含む、項16~19のいずれか一項に記載の意思決定能力評価プログラム。
 項23.商品又はサービスの利用における検査対象者の意思決定能力を評価するために使用される意思決定能力評価プログラムであって、コンピュータを、
 商品又はサービスの利用に関連する対話から、検査対象者の音声データを取得する音声データ取得部と、
 前記音声データ取得部により取得された検査対象者の音声データをテキストデータに変換する変換部と、
 前記変換部により変換されたテキストデータに基づいて、検査対象者の商品又はサービスの利用の意思決定能力を判定する意思決定能力判定部と、
として機能させる意思決定能力評価プログラムにおいて、
 前記意思決定能力判定部による意思決定能力の判定は、商品又はサービスの利用に関連する対話における検査対象者の発話の音声データを変換したテキスト中に、共起される頻度が高い単語同士が共起されている場合に、検査対象者が「理解」していると判定することを含む、意思決定能力評価プログラム。
 項24.商品又はサービスの利用における検査対象者の意思決定能力を評価するために使用される意思決定能力評価プログラムであって、コンピュータを、
 商品又はサービスの利用に関連する対話から、検査対象者の音声データを取得する音声データ取得部と、
 前記音声データ取得部により取得された検査対象者の音声データをテキストデータに変換する変換部と、
 前記変換部により変換されたテキストデータに基づいて、検査対象者の商品又はサービスの利用の意思決定能力を判定する意思決定能力判定部と、
として機能させる意思決定能力評価プログラムにおいて、
 前記検査対象者の音声データは、検査対象者の理解を評価するための質問に対する検査対象者の回答を含み、
 前記検査対象者の理解を評価するための質問は、時事に関連するテキストデータで学習された機械学習モデルを用いて作成された、特定の分野の第1の表現と、前記表現と共に出現する頻度が高い第2の表現とを含む文章のうちの第2の表現の穴埋め問題である、意思決定能力評価プログラム。
 項25.商品又はサービスの利用における検査対象者の意思決定能力を評価するために使用される意思決定能力評価プログラムであって、コンピュータを、
 商品又はサービスの利用に関連する対話から、検査対象者の音声データを取得する音声データ取得部と、
 前記音声データ取得部により取得された検査対象者の音声データをテキストデータに変換する変換部と、
 前記変換部により変換されたテキストデータに基づいて、検査対象者の商品又はサービスの利用の意思決定能力を判定する意思決定能力判定部と、
として機能させる意思決定能力評価プログラムにおいて、
 音声データ取得部は、検査対象者の認識を評価するための質問と、前記検査対象者の認識を評価するための質問に対する検査対象者の回答とを含み、
 前記意思決定能力判定部は、
 前記検査対象者の認識を評価するための質問の音声データを変換したテキストと、前記検査対象者の回答の音声データを変換したテキストとに、少なくとも一つ同じ単語が共通して出現していること、
 前記検査対象者の回答の音声データを変換したテキスト中の、前記共通して出現している単語と別の単語との共起の組み合わせが、前記検査対象者の認識を評価するための質問中の、前記共通して出現している単語と別の単語との共起の組み合わせと異なっていること、及び
 検査対象者に関連する単語が前記検査対象者の回答を変換したテキスト中に出現していること
を判定する、意思決定能力評価プログラム。
 項26.商品又はサービスの利用における検査対象者の意思決定能力を評価するために使用される意思決定能力評価プログラムであって、コンピュータを、
 商品又はサービスの利用に関連する対話から、検査対象者の音声データを取得する音声データ取得部と、
 前記音声データ取得部により取得された検査対象者の音声データをテキストデータに変換する変換部と、
 前記変換部により変換されたテキストデータに基づいて、検査対象者の商品又はサービスの利用の意思決定能力を判定する意思決定能力判定部と、
として機能させる意思決定能力評価プログラムにおいて、
 前記検査対象者の音声データは、前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答を含み、
 前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答を変換したテキストデータが、比較を表す単語、又は類似した事物の提示、並列、もしくは列挙を示す単語を含む、意思決定能力評価プログラム。
 項27.商品又はサービスの利用における検査対象者の意思決定能力を評価するために使用される意思決定能力評価プログラムであって、コンピュータを、
 商品又はサービスの利用に関連する対話から、検査対象者の音声データを取得する音声データ取得部と、
 前記音声データ取得部により取得された検査対象者の音声データをテキストデータに変換する変換部と、
 前記変換部により変換されたテキストデータに基づいて、検査対象者の商品又はサービスの利用の意思決定能力を判定する意思決定能力判定部と、
として機能させる意思決定能力評価プログラムにおいて、
 前記意思決定能力判定部による意思決定能力の判定は、前記検査対象者の理解を評価するための質問を変換したテキストデータと、それに対する検査対象者の回答を変換したテキストデータとの内容が、ポジティブかネガティブであるかに基づいて、検査対象者の論理的思考を判定することを含む、意思決定能力評価プログラム。
 項28.前記検査対象者の音声データは、前記検査対象者の理解を評価するための質問に対する検査対象者の回答を含み、
 前記検査対象者の理解を評価するための質問は、商品又はサービスの利用に関連する文書を前記検査対象者に読ませる指示を含み、
 前記意思決定能力評価プログラムは、前記コンピュータを、
 検査対象者の画像データを取得する画像取得部と、
 前記画像取得部により取得された検査対象者の顔の画像データを解析して、視線の軌跡を測定する視線測定部と
としてさらに機能させ、
 前記意思決定能力判定部は、前記視線測定部から受信した視線の軌跡の測定結果に基づいて、検査対象者の理解を判定する項16に記載の意思決定能力評価プログラム。
 項29.前記検査対象者の音声データは、前記検査対象者の理解を評価するための質問に対する検査対象者の回答を含み、
 前記検査対象者の理解を評価するための質問は、商品又はサービスの利用に関連する文書を前記検査対象者に読ませる指示を含み、
 前記意思決定能力評価プログラムは、前記コンピュータを、
 検査対象者の画像データを取得する画像取得部と、
 前記画像取得部により取得された検査対象者の顔の画像データを解析して、顔の向きを測定する顔向き測定部と
としてさらに機能させ、
 前記意思決定能力判定部は、前記顔向き測定部から受信した顔の向きの測定結果に基づいて、検査対象者の理解を判定する項16に記載の意思決定能力評価プログラム。
 項30.項16~29のいずれかに記載の意思決定能力評価プログラムを記録した記録媒体。
(8) Evaluation of (1) logical thinking and speculation about the result, (2) logical thinking for comparison, and (3) logical consistency of “logical thinking” is the evaluation of decision-making ability. Although preferred for accuracy, it is not necessary to evaluate all three. Any one or two of (1) to (3) may be evaluated.
(9) A part of the extracted text (words and phrases) is stored in the storage unit 24, and the control unit 23 displays or displays it on the display unit 25 together with the determination result of the presence or absence and degree of decision-making ability. You may make it print on paper media, such as a check sheet and an interview record.
(10) Based on the judgment result by the decision-making ability evaluation device 20, for example, the liquidity to be strengthened for the customer based on the literacy necessary for the use of the product or service (for example, various transactions) that the customer who is the person to be inspected wishes to use Intelligence may be imparted and trained by customers to enhance their own trading ability and maintain decision-making ability over the long term.
(11) The judgment result by the decision-making ability evaluation device 20 is shared by both the inspector and the customer who is the person to be inspected, so that it can be carried on a mobile terminal or the like, and can be used in transactions with other solicitors. can also
(12) The decision-making ability evaluation device, the decision-making ability evaluation system, and the decision-making ability evaluation method of the present invention may be used for purposes other than the process from soliciting a certain product to deciding to purchase it.
(13) Using the decision-making ability evaluation device, the decision-making ability evaluation system, or the decision-making ability evaluation method of the present invention, the data collected from the test subject in one decision-making ability evaluation is used for another decision-making ability evaluation. may be used for the future decision-making ability evaluation device, decision-making ability evaluation system, or decision-making ability evaluation method of the present invention, together with the data collected from the test subject.
(14) The data linked in (13) above is saved as a log by either the decision-making ability evaluation device or the decision-making ability evaluation system, and the product content, judgment result, and / or incident , and such data sets can be used to quantify the complexity and complexity of transactions by product.
(15) The data linked in (13) above is saved as a log by either the decision-making ability evaluation device or the decision-making ability evaluation system, and the product content, judgment result, and / or incident For example, if the determination result is negative, the litigation risk and the like can be learned by the decision-making ability evaluation device, so that the litigation risk prediction can be estimated using this data set.
(16) The decision-making ability evaluation device 20 may be divided into a plurality of devices, and the speech data acquisition unit 230, the conversion unit 231, the text analysis unit 232, the determination unit 233, and the data management unit 234 of the decision-making ability determination unit 238 , the image acquisition unit 235, the line-of-sight measurement unit 236, and the face direction measurement unit 237 may be performed by a plurality of physically separated decision-making ability evaluation devices 20. FIG.

The present disclosure also includes the following embodiments.
Section 1. A decision-making ability evaluation device used to evaluate a person's decision-making ability in the use of goods or services,
a voice data acquisition unit that acquires voice data of a person to be tested from conversations related to the use of goods or services;
a conversion unit that converts the voice data of the person to be examined acquired by the voice data acquisition unit into text data;
a decision-making ability determination unit that determines the decision-making ability of a person to be inspected for use of goods or services based on the text data converted by the conversion unit;
In a decision-making ability evaluation device comprising
The voice data of the person to be inspected is
the test subject's answers to questions for evaluating the test subject's understanding;
the test subject's responses to questions to assess the test subject's cognition; and the test subject's responses to questions to assess the test subject's reasoning;
including at least two of
When the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding, the determination of the decision-making ability by the decision-making ability determination unit includes the test subject's Including determining the understanding of the test subject based on the text data converted from the test subject's answers to the questions for evaluating the understanding of
When the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's recognition, the determination of the decision-making ability by the decision-making ability determination unit includes the test subject's Including determining the recognition of the test subject based on the text data converted from the test subject's answer to the question for evaluating the recognition of
and when the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's logical thinking, the determination of the decision-making ability by the decision-making ability determination unit A decision-making ability evaluation device including determining the logical thinking of a person being examined based on text data obtained by converting the person's answers to questions for evaluating the person's logical thinking.
Section 2. the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's expression of choice;
Judgment of decision-making ability by the decision-making ability judgment unit,
2. Decision-making according to paragraph 1, comprising determining the test subject's statement of choice based on text data obtained by converting the test subject's answer to a question for evaluating the test subject's statement of choice. Ability evaluation device.
Item 3. The determination of decision-making ability by the decision-making ability determination unit is performed by combining words with high frequency of co-occurrence in the text obtained by converting the voice data of the test subject's utterances in the dialogue related to the use of the product or service. Item 3. The apparatus for evaluating decision-making ability according to Item 1 or 2, including determining that the test subject understands if the test subject is awakened.
Section 4. The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding,
The questions for evaluating the test subject's comprehension include a first expression in a specific field and the frequency of occurrence with the expression, created using a machine learning model trained on text data related to current events. Item 3. The apparatus for evaluating decision-making ability according to Item 1 or 2, which is a fill-in-the-blank question of the second expression in the sentence including the second expression with a high value.
Item 5. The voice data acquisition unit includes a question for evaluating the recognition of the person being examined, and the person's answer to the question for evaluating the person's recognition,
The decision-making ability determination unit,
At least one same word appears in common between the text obtained by converting the voice data of the question for evaluating the recognition of the test subject and the text obtained by converting the voice data of the answer of the test subject. matter,
A combination of co-occurrences of the commonly appearing word and another word in the text obtained by converting the voice data of the test subject's answer is a question for evaluating the recognition of the test subject. and that the word related to the test subject appears in the text obtained by converting the test subject's answer. Item 5. The decision-making ability evaluation device according to any one of items 1 to 4, which determines that the
Item 6. The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's logical thinking,
The text data obtained by converting the test subject's answers to the questions for evaluating the test subject's logical thinking includes words representing comparison, or words representing presentation, paralleling, or enumeration of similar items. 5. The decision-making ability evaluation device according to any one of 1 to 4.
Item 7. Judgment of decision-making ability by the decision-making ability judgment unit,
Based on whether the contents of the text data converted from the question for evaluating the understanding of the test subject and the text data converted from the test subject's answer to it are positive or negative, Item 5. The decision-making ability evaluation device according to any one of items 1 to 4, including determining logical thinking.
Item 8. A decision-making ability evaluation device used to evaluate a person's decision-making ability in the use of goods or services,
a voice data acquisition unit that acquires voice data of a person to be tested from conversations related to the use of goods or services;
a conversion unit that converts the voice data of the person to be examined acquired by the voice data acquisition unit into text data;
a decision-making ability determination unit that determines the decision-making ability of a person to be inspected for use of goods or services based on the text data converted by the conversion unit;
In a decision-making ability evaluation device comprising
The determination of decision-making ability by the decision-making ability determination unit is performed by combining words with high frequency of co-occurrence in the text obtained by converting the voice data of the test subject's utterances in the dialogue related to the use of the product or service. A decision-making ability assessment device that includes determining that a test subject "understands" if it is being awakened.
Item 9. A decision-making ability evaluation device used to evaluate a person's decision-making ability in the use of goods or services,
a voice data acquisition unit that acquires voice data of a person to be tested from conversations related to the use of goods or services;
a conversion unit that converts the voice data of the person to be examined acquired by the voice data acquisition unit into text data;
a decision-making ability determination unit that determines the decision-making ability of a person to be inspected for use of goods or services based on the text data converted by the conversion unit;
In a decision-making ability evaluation device comprising
The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding,
The questions for evaluating the test subject's comprehension include a first expression in a specific field and the frequency of occurrence with the expression, created using a machine learning model trained on text data related to current events. A decision-making ability evaluation device, which is a fill-in-the-blank question of a second expression in sentences containing a second expression with a high value.
Item 10. A decision-making ability evaluation device used to evaluate a person's decision-making ability in the use of goods or services,
a voice data acquisition unit that acquires voice data of a person to be tested from conversations related to the use of goods or services;
a conversion unit that converts the voice data of the person to be examined acquired by the voice data acquisition unit into text data;
a decision-making ability determination unit that determines the decision-making ability of a person to be inspected for use of goods or services based on the text data converted by the conversion unit;
In a decision-making ability evaluation device comprising
The voice data acquisition unit includes a question for evaluating the recognition of the person being examined, and the person's answer to the question for evaluating the person's recognition,
The decision-making ability determination unit,
At least one same word appears in common between the text obtained by converting the voice data of the question for evaluating the recognition of the test subject and the text obtained by converting the voice data of the answer of the test subject. matter,
A combination of co-occurrences of the commonly appearing word and another word in the text obtained by converting the voice data of the test subject's answer is a question for evaluating the recognition of the test subject. and that the word related to the test subject appears in the text obtained by converting the test subject's answer. A decision-making ability evaluation device that judges that
Item 11. A decision-making ability evaluation device used to evaluate a person's decision-making ability in the use of goods or services,
a voice data acquisition unit that acquires voice data of a person to be tested from conversations related to the use of goods or services;
a conversion unit that converts the voice data of the person to be examined acquired by the voice data acquisition unit into text data;
a decision-making ability determination unit that determines the decision-making ability of a person to be inspected for use of goods or services based on the text data converted by the conversion unit;
In a decision-making ability evaluation device comprising
The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's logical thinking,
The text data obtained by converting the test subject's answers to the questions for evaluating the test subject's logical thinking includes words representing comparison, or words representing presentation, paralleling, or enumeration of similar things. Decision ability evaluation device.
Item 12. A decision-making ability evaluation device used to evaluate a person's decision-making ability in the use of goods or services,
a voice data acquisition unit that acquires voice data of a person to be tested from conversations related to the use of goods or services;
a conversion unit that converts the voice data of the person to be examined acquired by the voice data acquisition unit into text data;
a decision-making ability determination unit that determines the decision-making ability of a person to be inspected for use of goods or services based on the text data converted by the conversion unit;
In a decision-making ability evaluation device comprising
Judgment of decision-making ability by the decision-making ability judgment unit,
Based on whether the contents of the text data converted from the question for evaluating the understanding of the test subject and the text data converted from the test subject's answer to it are positive or negative, A decision-making ability assessment device that includes judging logical thinking.
Item 13. The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding,
questions for assessing the subject's comprehension include instructions for the subject to read a document related to the use of goods or services;
The decision-making ability evaluation device,
an image acquisition unit that acquires image data of a person to be inspected;
further comprising a line-of-sight measurement unit that analyzes the image data of the face of the inspection subject acquired by the image acquisition unit and measures the trajectory of the line of sight;
2. The decision-making ability evaluation device according to item 1, wherein the decision-making ability determination unit determines the understanding of the person being examined based on the measurement result of the line-of-sight trajectory received from the line-of-sight measurement unit.
Item 14. The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding,
questions for assessing the subject's comprehension include instructions for the subject to read a document related to the use of goods or services;
The decision-making ability evaluation device,
an image acquisition unit that acquires image data of a person to be inspected;
further comprising a face orientation measurement unit that analyzes the image data of the face of the person to be inspected acquired by the image acquisition unit and measures the orientation of the face;
2. The apparatus for evaluating decision-making ability according to Item 1, wherein the decision-making ability determination unit determines the understanding of the person being examined based on the face orientation measurement result received from the face orientation measurement unit.
Item 15. Item 15. A decision-making ability evaluation system for evaluating the decision-making ability of an inspected person in using a product or service, comprising: an inspection terminal; and a decision ability evaluation device,
The decision-making ability evaluation system, wherein the speech data acquisition unit of the decision-making ability evaluation device acquires the examination subject's speech data from a dialogue related to use of the product or service received from the examination terminal.
Item 16. A decision-making ability evaluation program used to evaluate a person's decision-making ability in the use of goods or services, the computer comprising:
a voice data acquisition unit that acquires voice data of a person to be tested from conversations related to the use of goods or services;
a conversion unit that converts the voice data of the person to be examined acquired by the voice data acquisition unit into text data;
a decision-making ability determination unit that determines the decision-making ability of a person to be inspected for use of goods or services based on the text data converted by the conversion unit;
In the decision-making ability evaluation program that functions as
The voice data of the person to be inspected is
the test subject's answers to questions for evaluating the test subject's understanding;
the test subject's responses to questions to assess the test subject's cognition; and the test subject's responses to questions to assess the test subject's reasoning;
including at least two of
When the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding, the determination of the decision-making ability by the decision-making ability determination unit includes the test subject's Including determining the understanding of the test subject based on the text data converted from the test subject's answers to the questions for evaluating the understanding of
When the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's recognition, the determination of the decision-making ability by the decision-making ability determination unit includes the test subject's Including determining the recognition of the test subject based on the text data converted from the test subject's answer to the question for evaluating the recognition of
and when the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's logical thinking, the determination of the decision-making ability by the decision-making ability determination unit A program for evaluating decision-making ability, including judging the logical thinking of an inspected person based on text data obtained by converting the responses of the inspected person to questions for evaluating the logical thinking of the inspected person.
Item 17. the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's expression of choice;
The judgment of decision-making ability by the decision-making ability judging unit is based on text data obtained by converting the test subject's answers to questions for evaluating the test subject's expression of selection. 17. The decision-making ability evaluation program according to Item 16, comprising determining the.
Item 18. The determination of decision-making ability by the decision-making ability determination unit is performed by combining words with high frequency of co-occurrence in the text obtained by converting the voice data of the test subject's utterances in the dialogue related to the use of the product or service. 18. A decision-making ability assessment program according to clause 16 or 17, comprising determining that the test subject understands if aroused.
Item 19. The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding,
The questions for evaluating the test subject's comprehension include a first expression in a specific field and the frequency of occurrence with the expression, created using a machine learning model trained on text data related to current events. 18. The program for assessing decision-making ability according to Item 16 or 17, which is a fill-in-the-blank question of the second expression of the sentence containing the second expression with a high .
Item 20. The voice data acquisition unit includes a question for evaluating the recognition of the person being examined, and the person's answer to the question for evaluating the person's recognition,
The decision-making ability determination unit,
At least one same word appears in common between the text obtained by converting the voice data of the question for evaluating the recognition of the test subject and the text obtained by converting the voice data of the answer of the test subject. matter,
A combination of co-occurrences of the commonly appearing word and another word in the text obtained by converting the voice data of the test subject's answer is a question for evaluating the recognition of the test subject. and that the word related to the test subject appears in the text obtained by converting the test subject's answer. 20. The program for evaluating decision-making ability according to any one of items 16 to 19, wherein the decision-making ability evaluation program determines that the
Item 21. The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's logical thinking,
The text data obtained by converting the test subject's answers to the questions for evaluating the test subject's logical thinking includes words representing comparison, or words representing presentation, paralleling, or enumeration of similar items. 19. The decision-making ability evaluation program according to any one of 16-19.
Item 22. The determination of decision-making ability by the decision-making ability determination unit is based on the content of the text data converted from the question for evaluating the understanding of the test subject and the text data converted from the test subject's answer to the question, 20. The decision-making ability evaluation program according to any one of items 16 to 19, comprising determining the logical thinking of the test subject based on whether it is positive or negative.
Item 23. A decision-making ability evaluation program used to evaluate a person's decision-making ability in the use of goods or services, the computer comprising:
a voice data acquisition unit that acquires voice data of a person to be tested from conversations related to the use of goods or services;
a conversion unit that converts the voice data of the person to be examined acquired by the voice data acquisition unit into text data;
a decision-making ability determination unit that determines the decision-making ability of a person to be inspected for use of goods or services based on the text data converted by the conversion unit;
In the decision-making ability evaluation program that functions as
The determination of decision-making ability by the decision-making ability determination unit is performed by combining words with high frequency of co-occurrence in the text obtained by converting the voice data of the test subject's utterances in the dialogue related to the use of the product or service. A decision-making ability assessment program that includes determining that the test subject "understands" when being awakened.
Item 24. A decision-making ability evaluation program used to evaluate a person's decision-making ability in the use of goods or services, the computer comprising:
a voice data acquisition unit that acquires voice data of a person to be tested from conversations related to the use of goods or services;
a conversion unit that converts the voice data of the person to be examined acquired by the voice data acquisition unit into text data;
a decision-making ability determination unit that determines the decision-making ability of a person to be inspected for use of goods or services based on the text data converted by the conversion unit;
In the decision-making ability evaluation program that functions as
The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding,
The questions for evaluating the test subject's comprehension include a first expression in a specific field and the frequency of occurrence with the expression, created using a machine learning model trained on text data related to current events. A program for assessing decision-making ability, which is a fill-in-the-blank question of the second expression of sentences containing the second expression with a high .
Item 25. A decision-making ability evaluation program used to evaluate a person's decision-making ability in the use of goods or services, the computer comprising:
a voice data acquisition unit that acquires voice data of a person to be tested from conversations related to the use of goods or services;
a conversion unit that converts the voice data of the person to be examined acquired by the voice data acquisition unit into text data;
a decision-making ability determination unit that determines the decision-making ability of a person to be inspected for use of goods or services based on the text data converted by the conversion unit;
In the decision-making ability evaluation program that functions as
The voice data acquisition unit includes a question for evaluating the recognition of the person being examined, and the person's answer to the question for evaluating the person's recognition,
The decision-making ability determination unit,
At least one same word appears in common between the text obtained by converting the voice data of the question for evaluating the recognition of the test subject and the text obtained by converting the voice data of the answer of the test subject. matter,
A combination of co-occurrences of the commonly appearing word and another word in the text obtained by converting the voice data of the test subject's answer is a question for evaluating the recognition of the test subject. and that the word related to the test subject appears in the text obtained by converting the test subject's answer. A decision-making ability assessment program that determines
Item 26. A decision-making ability evaluation program used to evaluate a person's decision-making ability in the use of goods or services, the computer comprising:
a voice data acquisition unit that acquires voice data of a person to be tested from conversations related to the use of goods or services;
a conversion unit that converts the voice data of the person to be examined acquired by the voice data acquisition unit into text data;
a decision-making ability determination unit that determines the decision-making ability of a person to be inspected for use of goods or services based on the text data converted by the conversion unit;
In the decision-making ability evaluation program that functions as
The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's logical thinking,
The text data obtained by converting the test subject's answers to the questions for evaluating the test subject's logical thinking includes words representing comparison, or words representing presentation, paralleling, or enumeration of similar things. Decision-making ability assessment program.
Item 27. A decision-making ability evaluation program used to evaluate a person's decision-making ability in the use of goods or services, the computer comprising:
a voice data acquisition unit that acquires voice data of a person to be tested from conversations related to the use of goods or services;
a conversion unit that converts the voice data of the person to be examined acquired by the voice data acquisition unit into text data;
a decision-making ability determination unit that determines the decision-making ability of a person to be inspected for use of goods or services based on the text data converted by the conversion unit;
In the decision-making ability evaluation program that functions as
The determination of decision-making ability by the decision-making ability determination unit is based on the content of the text data converted from the question for evaluating the understanding of the test subject and the text data converted from the test subject's answer to the question, A decision-making ability assessment program that includes judging a test subject's reasoning on the basis of being positive or negative.
Item 28. The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding,
questions for assessing the subject's comprehension include instructions for the subject to read a document related to the use of goods or services;
The decision-making ability evaluation program causes the computer to:
an image acquisition unit that acquires image data of a person to be inspected;
further functions as a line-of-sight measurement unit that analyzes the image data of the face of the inspection subject acquired by the image acquisition unit and measures the trajectory of the line of sight;
17. The decision-making ability evaluation program according to item 16, wherein the decision-making ability determination unit determines the comprehension of the test subject based on the measurement result of the line-of-sight trajectory received from the line-of-sight measurement unit.
Item 29. The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding,
questions for assessing the subject's comprehension include instructions for the subject to read a document related to the use of goods or services;
The decision-making ability evaluation program causes the computer to:
an image acquisition unit that acquires image data of a person to be inspected;
analyzing the image data of the face of the person to be inspected acquired by the image acquisition unit and further functioning as a face orientation measurement unit for measuring the orientation of the face;
17. The decision-making ability evaluation program according to Item 16, wherein the decision-making ability determination unit determines the comprehension of the test subject based on the face orientation measurement result received from the face orientation measurement unit.
Item 30. A recording medium recording the decision-making ability evaluation program according to any one of Items 16 to 29.
20…意思決定能力評価装置、230…音声データ取得部、231…変換部、238…意思決定能力判定部。 20... Decision-making ability evaluation device, 230... Voice data acquisition unit, 231... Conversion unit, 238... Decision-making ability determination unit.

Claims (20)

  1.  商品又はサービスの利用における検査対象者の意思決定能力を評価するために使用される意思決定能力評価装置であって、
     商品又はサービスの利用に関連する対話から、検査対象者の音声データを取得する音声データ取得部と、
     前記音声データ取得部により取得された検査対象者の音声データをテキストデータに変換する変換部と、
     前記変換部により変換されたテキストデータに基づいて、検査対象者の商品又はサービスの利用の意思決定能力を判定する意思決定能力判定部と、
    を備える意思決定能力評価装置において、
     前記検査対象者の音声データは、
     前記検査対象者の理解を評価するための質問に対する検査対象者の回答、
     前記検査対象者の認識を評価するための質問に対する検査対象者の回答、および
     前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答、
    のうちの少なくとも2つを含み、
     前記検査対象者の音声データが前記検査対象者の理解を評価するための質問に対する検査対象者の回答を含む場合には、前記意思決定能力判定部による意思決定能力の判定は、前記検査対象者の理解を評価するための質問に対する検査対象者の回答を変換したテキストデータに基づいて、検査対象者の理解を判定することを含み、
     前記検査対象者の音声データが前記検査対象者の認識を評価するための質問に対する検査対象者の回答を含む場合には、前記意思決定能力判定部による意思決定能力の判定は、前記検査対象者の認識を評価するための質問に対する検査対象者の回答を変換したテキストデータに基づいて、検査対象者の認識を判定することを含み、及び
     前記検査対象者の音声データが前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答を含む場合には、前記意思決定能力判定部による意思決定能力の判定は、前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答を変換したテキストデータに基づいて、検査対象者の論理的思考を判定することを含む、意思決定能力評価装置。
    A decision-making ability evaluation device used to evaluate a person's decision-making ability in the use of goods or services,
    a voice data acquisition unit that acquires voice data of a person to be tested from conversations related to the use of goods or services;
    a conversion unit that converts the voice data of the person to be examined acquired by the voice data acquisition unit into text data;
    a decision-making ability determination unit that determines the decision-making ability of a person to be inspected for use of goods or services based on the text data converted by the conversion unit;
    In a decision-making ability evaluation device comprising
    The voice data of the person to be inspected is
    the test subject's answers to questions for evaluating the test subject's understanding;
    the test subject's responses to questions to assess the test subject's cognition; and the test subject's responses to questions to assess the test subject's reasoning;
    including at least two of
    When the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding, the determination of the decision-making ability by the decision-making ability determination unit includes the test subject's Including determining the understanding of the test subject based on the text data converted from the test subject's answers to the questions for evaluating the understanding of
    When the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's recognition, the determination of the decision-making ability by the decision-making ability determination unit includes the test subject's Determining the recognition of the test subject based on text data converted from the test subject's answers to questions for evaluating the recognition of the test subject, and When the test subject's answers to questions for evaluating logical thinking are included, the determination of decision-making ability by the decision-making ability determination unit is based on the examination of questions for evaluating the logical thinking of the test subject. A decision-making ability evaluation device including determining the logical thinking of a test subject based on text data obtained by converting the subject's answer.
  2.  前記検査対象者の音声データは、検査対象者の選択の表明を評価するための質問に対する検査対象者の回答を含み、
     前記意思決定能力判定部による意思決定能力の判定は、
     前記検査対象者の選択の表明を評価するための質問に対する検査対象者の回答を変換したテキストデータに基づいて、検査対象者の選択の表明を判定することを含む、請求項1に記載の意思決定能力評価装置。
    the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's expression of choice;
    Judgment of decision-making ability by the decision-making ability judgment unit,
    2. The intent of claim 1, comprising determining the test subject's statement of choice based on text data converted from the test subject's answers to questions for evaluating the test subject's statement of choice. Decision ability evaluation device.
  3.  前記意思決定能力判定部による意思決定能力の判定は、商品又はサービスの利用に関連する対話における検査対象者の発話の音声データを変換したテキスト中に、共起される頻度が高い単語同士が共起されている場合に、検査対象者が理解していると判定することを含む、請求項1または2に記載の意思決定能力評価装置。 The determination of decision-making ability by the decision-making ability determination unit is performed by combining words with high frequency of co-occurrence in the text obtained by converting the voice data of the test subject's utterances in the dialogue related to the use of the product or service. 3. The apparatus for assessing decision-making ability according to claim 1 or 2, comprising determining that the test subject understands if the test subject is awakened.
  4.  前記検査対象者の音声データは、検査対象者の理解を評価するための質問に対する検査対象者の回答を含み、
     前記検査対象者の理解を評価するための質問は、時事に関連するテキストデータで学習された機械学習モデルを用いて作成された、特定の分野の第1の表現と、前記表現と共に出現する頻度が高い第2の表現とを含む文章のうちの第2の表現の穴埋め問題である、請求項1または2に記載の意思決定能力評価装置。
    The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding,
    The questions for evaluating the test subject's comprehension include a first expression in a specific field and the frequency of occurrence with the expression, created using a machine learning model trained on text data related to current events. 3. The apparatus for evaluating decision-making ability according to claim 1, wherein the second expression is a fill-in-the-blank question in a sentence containing the second expression with a high .
  5.  音声データ取得部は、検査対象者の認識を評価するための質問と、前記検査対象者の認識を評価するための質問に対する検査対象者の回答とを含み、
     前記意思決定能力判定部は、
     前記検査対象者の認識を評価するための質問の音声データを変換したテキストと、前記検査対象者の回答の音声データを変換したテキストとに、少なくとも一つ同じ単語が共通して出現していること、
     前記検査対象者の回答の音声データを変換したテキスト中の、前記共通して出現している単語と別の単語との共起の組み合わせが、前記検査対象者の認識を評価するための質問中の、前記共通して出現している単語と別の単語との共起の組み合わせと異なっていること、及び
     検査対象者に関連する単語が前記検査対象者の回答を変換したテキスト中に出現していること
    を判定する、請求項1~4のいずれか一項に記載の意思決定能力評価装置。
    The voice data acquisition unit includes a question for evaluating the recognition of the person being examined, and the person's answer to the question for evaluating the person's recognition,
    The decision-making ability determination unit,
    At least one same word appears in common between the text obtained by converting the voice data of the question for evaluating the recognition of the test subject and the text obtained by converting the voice data of the answer of the test subject. matter,
    A combination of co-occurrences of the commonly appearing word and another word in the text obtained by converting the voice data of the test subject's answer is a question for evaluating the recognition of the test subject. and that the word related to the test subject appears in the text obtained by converting the test subject's answer. The decision-making ability evaluation device according to any one of claims 1 to 4, which determines that the
  6.  前記検査対象者の音声データは、前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答を含み、
     前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答を変換したテキストデータが、比較を表す単語、又は類似した事物の提示、並列、もしくは列挙を示す単語を含む、請求項1~4のいずれか一項に記載の意思決定能力評価装置。
    The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's logical thinking,
    The text data obtained by converting the test subject's answers to the questions for evaluating the test subject's logical thinking includes words representing comparison, or words representing presentation, paralleling, or enumeration of similar things. 5. The apparatus for evaluating decision-making ability according to any one of items 1 to 4.
  7.  前記意思決定能力判定部による意思決定能力の判定は、
     前記検査対象者の理解を評価するための質問を変換したテキストデータと、それに対する検査対象者の回答を変換したテキストデータとの内容が、ポジティブかネガティブであるかに基づいて、検査対象者の論理的思考を判定することを含む、請求項1~4のいずれか一項に記載の意思決定能力評価装置。
    Judgment of decision-making ability by the decision-making ability judgment unit,
    Based on whether the contents of the text data converted from the question for evaluating the understanding of the test subject and the text data converted from the test subject's answer to it are positive or negative, The decision-making ability evaluation device according to any one of claims 1 to 4, including judging logical thinking.
  8.  前記検査対象者の音声データは、前記検査対象者の理解を評価するための質問に対する検査対象者の回答を含み、
     前記検査対象者の理解を評価するための質問は、商品又はサービスの利用に関連する文書を前記検査対象者に読ませる指示を含み、
     前記意思決定能力評価装置は、
     検査対象者の画像データを取得する画像取得部と、
     前記画像取得部により取得された検査対象者の顔の画像データを解析して、視線の軌跡を測定する視線測定部をさらに含み、
     前記意思決定能力判定部は、前記視線測定部から受信した視線の軌跡の測定結果に基づいて、検査対象者の理解を判定する請求項1に記載の意思決定能力評価装置。
    The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding,
    questions for assessing the subject's comprehension include instructions for the subject to read a document related to the use of goods or services;
    The decision-making ability evaluation device,
    an image acquisition unit that acquires image data of a person to be inspected;
    further comprising a line-of-sight measurement unit that analyzes the image data of the face of the inspection subject acquired by the image acquisition unit and measures the trajectory of the line of sight;
    2. The apparatus for evaluating decision-making ability according to claim 1, wherein the decision-making ability determination unit determines the understanding of the test subject based on the measurement result of the line-of-sight trajectory received from the line-of-sight measurement unit.
  9.  前記検査対象者の音声データは、前記検査対象者の理解を評価するための質問に対する検査対象者の回答を含み、
     前記検査対象者の理解を評価するための質問は、商品又はサービスの利用に関連する文書を前記検査対象者に読ませる指示を含み、
     前記意思決定能力評価装置は、
     検査対象者の画像データを取得する画像取得部と、
     前記画像取得部により取得された検査対象者の顔の画像データを解析して、顔の向きを測定する顔向き測定部をさらに含み、
     前記意思決定能力判定部は、前記顔向き測定部から受信した顔の向きの測定結果に基づいて、検査対象者の理解を判定する請求項1に記載の意思決定能力評価装置。
    The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding,
    questions for assessing the subject's comprehension include instructions for the subject to read a document related to the use of goods or services;
    The decision-making ability evaluation device,
    an image acquisition unit that acquires image data of a person to be inspected;
    further comprising a face orientation measurement unit that analyzes the image data of the face of the person to be inspected acquired by the image acquisition unit and measures the orientation of the face;
    2. The apparatus for evaluating decision-making ability according to claim 1, wherein the decision-making ability determination unit determines the understanding of the person being examined based on the face direction measurement result received from the face direction measurement unit.
  10.  商品又はサービスの利用における検査対象者の意思決定能力を評価するための意思決定能力評価システムであって、検査端末と、前記検査端末と通信接続された請求項1~9のいずれか一項に記載の意思決定能力評価装置とを備え、
     前記意思決定能力評価装置の音声データ取得部は、前記検査端末から受信した商品又はサービスの利用に関連する対話から、検査対象者の音声データを取得する、意思決定能力評価システム。
    A decision-making ability evaluation system for evaluating the decision-making ability of an inspected person in using a product or service, comprising: an inspection terminal; and a communication connection with the inspection terminal. and the decision-making ability evaluation device described,
    The decision-making ability evaluation system, wherein the speech data acquisition unit of the decision-making ability evaluation device acquires the examination subject's speech data from a dialogue related to use of the product or service received from the examination terminal.
  11.  商品又はサービスの利用における検査対象者の意思決定能力を評価するために使用される意思決定能力評価プログラムであって、コンピュータを、
     商品又はサービスの利用に関連する対話から、検査対象者の音声データを取得する音声データ取得部と、
     前記音声データ取得部により取得された検査対象者の音声データをテキストデータに変換する変換部と、
     前記変換部により変換されたテキストデータに基づいて、検査対象者の商品又はサービスの利用の意思決定能力を判定する意思決定能力判定部と、
    として機能させる意思決定能力評価プログラムにおいて、
     前記検査対象者の音声データは、
     前記検査対象者の理解を評価するための質問に対する検査対象者の回答、
     前記検査対象者の認識を評価するための質問に対する検査対象者の回答、および
     前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答、
    のうちの少なくとも2つを含み、
     前記検査対象者の音声データが前記検査対象者の理解を評価するための質問に対する検査対象者の回答を含む場合には、前記意思決定能力判定部による意思決定能力の判定は、前記検査対象者の理解を評価するための質問に対する検査対象者の回答を変換したテキストデータに基づいて、検査対象者の理解を判定することを含み、
     前記検査対象者の音声データが前記検査対象者の認識を評価するための質問に対する検査対象者の回答を含む場合には、前記意思決定能力判定部による意思決定能力の判定は、前記検査対象者の認識を評価するための質問に対する検査対象者の回答を変換したテキストデータに基づいて、検査対象者の認識を判定することを含み、
    及び
     前記検査対象者の音声データが前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答を含む場合には、前記意思決定能力判定部による意思決定能力の判定は、前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答を変換したテキストデータに基づいて、検査対象者の論理的思考を判定することを含む、意思決定能力評価プログラム。
    A decision-making ability evaluation program used to evaluate a person's decision-making ability in the use of goods or services, the computer comprising:
    a voice data acquisition unit that acquires voice data of a person to be tested from conversations related to the use of goods or services;
    a conversion unit that converts the voice data of the person to be examined acquired by the voice data acquisition unit into text data;
    a decision-making ability determination unit that determines the decision-making ability of a person to be inspected for use of goods or services based on the text data converted by the conversion unit;
    In the decision-making ability evaluation program that functions as
    The voice data of the person to be inspected is
    the test subject's answers to questions for evaluating the test subject's understanding;
    the test subject's responses to questions to assess the test subject's cognition; and the test subject's responses to questions to assess the test subject's reasoning;
    including at least two of
    When the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding, the determination of the decision-making ability by the decision-making ability determination unit includes the test subject's Including determining the understanding of the test subject based on the text data converted from the test subject's answers to the questions for evaluating the understanding of
    When the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's recognition, the determination of the decision-making ability by the decision-making ability determination unit includes the test subject's Including determining the recognition of the test subject based on the text data converted from the test subject's answer to the question for evaluating the recognition of
    and when the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's logical thinking, the determination of the decision-making ability by the decision-making ability determination unit A program for evaluating decision-making ability, including judging the logical thinking of an inspected person based on text data obtained by converting the responses of the inspected person to questions for evaluating the logical thinking of the inspected person.
  12.  前記検査対象者の音声データは、検査対象者の選択の表明を評価するための質問に対する検査対象者の回答を含み、
     前記意思決定能力判定部による意思決定能力の判定は、前記検査対象者の選択の表明を評価するための質問に対する検査対象者の回答を変換したテキストデータに基づいて、検査対象者の選択の表明を判定することを含む、請求項11に記載の意思決定能力評価プログラム。
    the test subject's voice data includes the test subject's answers to questions for evaluating the test subject's expression of choice;
    The judgment of decision-making ability by the decision-making ability judging unit is based on text data obtained by converting the test subject's answers to questions for evaluating the test subject's expression of selection. 12. The program for evaluating decision-making ability according to claim 11, comprising determining:
  13.  前記意思決定能力判定部による意思決定能力の判定は、商品又はサービスの利用に関連する対話における検査対象者の発話の音声データを変換したテキスト中に、共起される頻度が高い単語同士が共起されている場合に、検査対象者が理解していると判定することを含む、請求項11または12に記載の意思決定能力評価プログラム。 The determination of decision-making ability by the decision-making ability determination unit is performed by combining words with high frequency of co-occurrence in the text obtained by converting the voice data of the test subject's utterances in the dialogue related to the use of the product or service. 13. The program for assessing decision-making ability according to claim 11 or 12, comprising determining that the test subject understands if aroused.
  14.  前記検査対象者の音声データは、検査対象者の理解を評価するための質問に対する検査対象者の回答を含み、
     前記検査対象者の理解を評価するための質問は、時事に関連するテキストデータで学習された機械学習モデルを用いて作成された、特定の分野の第1の表現と、前記表現と共に出現する頻度が高い第2の表現とを含む文章のうちの第2の表現の穴埋め問題である、請求項11または12に記載の意思決定能力評価プログラム。
    The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding,
    The questions for evaluating the test subject's comprehension include a first expression in a specific field and the frequency of occurrence with the expression, created using a machine learning model trained on text data related to current events. 13. The decision-making ability evaluation program according to claim 11 or 12, which is a fill-in-the-blank question of the second expression of sentences containing the second expression with a high .
  15.  音声データ取得部は、検査対象者の認識を評価するための質問と、前記検査対象者の認識を評価するための質問に対する検査対象者の回答とを含み、
     前記意思決定能力判定部は、
     前記検査対象者の認識を評価するための質問の音声データを変換したテキストと、前記検査対象者の回答の音声データを変換したテキストとに、少なくとも一つ同じ単語が共通して出現していること、
     前記検査対象者の回答の音声データを変換したテキスト中の、前記共通して出現している単語と別の単語との共起の組み合わせが、前記検査対象者の認識を評価するための質問中の、前記共通して出現している単語と別の単語との共起の組み合わせと異なっていること、及び
     検査対象者に関連する単語が前記検査対象者の回答を変換したテキスト中に出現していること
    を判定する、請求項11~14のいずれか一項に記載の意思決定能力評価プログラム。
    The voice data acquisition unit includes a question for evaluating the recognition of the person being examined, and the person's answer to the question for evaluating the person's recognition,
    The decision-making ability determination unit,
    At least one same word appears in common between the text obtained by converting the voice data of the question for evaluating the recognition of the test subject and the text obtained by converting the voice data of the answer of the test subject. matter,
    A combination of co-occurrences of the commonly appearing word and another word in the text obtained by converting the voice data of the test subject's answer is a question for evaluating the recognition of the test subject. and that the word related to the test subject appears in the text obtained by converting the test subject's answer. 15. The decision-making ability evaluation program according to any one of claims 11 to 14, which determines that the decision-making ability evaluation program.
  16.  前記検査対象者の音声データは、前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答を含み、
     前記検査対象者の論理的思考を評価するための質問に対する検査対象者の回答を変換したテキストデータが、比較を表す単語、又は類似した事物の提示、並列、もしくは列挙を示す単語を含む、請求項11~14のいずれか一項に記載の意思決定能力評価プログラム。
    The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's logical thinking,
    The text data obtained by converting the test subject's answers to the questions for evaluating the test subject's logical thinking includes words representing comparison, or words representing presentation, paralleling, or enumeration of similar things. 15. The decision-making ability evaluation program according to any one of items 11 to 14.
  17.  前記意思決定能力判定部による意思決定能力の判定は、前記検査対象者の理解を評価するための質問を変換したテキストデータと、それに対する検査対象者の回答を変換したテキストデータとの内容が、ポジティブかネガティブであるかに基づいて、検査対象者の論理的思考を判定することを含む、請求項11~14のいずれか一項に記載の意思決定能力評価プログラム。 The determination of decision-making ability by the decision-making ability determination unit is based on the content of the text data converted from the question for evaluating the understanding of the test subject and the text data converted from the test subject's answer to the question, The decision-making ability evaluation program according to any one of claims 11 to 14, comprising judging the logical thinking of the test subject based on whether it is positive or negative.
  18.  前記検査対象者の音声データは、前記検査対象者の理解を評価するための質問に対する検査対象者の回答を含み、
     前記検査対象者の理解を評価するための質問は、商品又はサービスの利用に関連する文書を前記検査対象者に読ませる指示を含み、
     前記意思決定能力評価プログラムは、前記コンピュータを、
     検査対象者の画像データを取得する画像取得部と、
     前記画像取得部により取得された検査対象者の顔の画像データを解析して、視線の軌跡を測定する視線測定部と
    としてさらに機能させ、
     前記意思決定能力判定部は、前記視線測定部から受信した視線の軌跡の測定結果に基づいて、検査対象者の理解を判定する請求項11に記載の意思決定能力評価プログラム。
    The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding,
    questions for assessing the subject's comprehension include instructions for the subject to read a document related to the use of goods or services;
    The decision-making ability evaluation program causes the computer to:
    an image acquisition unit that acquires image data of a person to be inspected;
    further functions as a line-of-sight measurement unit that analyzes the image data of the face of the inspection subject acquired by the image acquisition unit and measures the trajectory of the line of sight;
    12. The decision-making ability evaluation program according to claim 11, wherein the decision-making ability determination unit determines the comprehension of the test subject based on the measurement result of the line-of-sight trajectory received from the line-of-sight measurement unit.
  19.  前記検査対象者の音声データは、前記検査対象者の理解を評価するための質問に対する検査対象者の回答を含み、
     前記検査対象者の理解を評価するための質問は、商品又はサービスの利用に関連する文書を前記検査対象者に読ませる指示を含み、
     前記意思決定能力評価プログラムは、前記コンピュータを、
     検査対象者の画像データを取得する画像取得部と、
     前記画像取得部により取得された検査対象者の顔の画像データを解析して、顔の向きを測定する顔向き測定部と
    としてさらに機能させ、
     前記意思決定能力判定部は、前記顔向き測定部から受信した顔の向きの測定結果に基づいて、検査対象者の理解を判定する請求項11に記載の意思決定能力評価プログラム。
    The test subject's voice data includes the test subject's answers to questions for evaluating the test subject's understanding,
    questions for assessing the subject's comprehension include instructions for the subject to read a document related to the use of goods or services;
    The decision-making ability evaluation program causes the computer to:
    an image acquisition unit that acquires image data of a person to be inspected;
    analyzing the image data of the face of the person to be inspected acquired by the image acquisition unit and further functioning as a face orientation measurement unit for measuring the orientation of the face;
    12. The decision-making ability evaluation program according to claim 11, wherein the decision-making ability determination unit determines the understanding of the person being examined based on the face orientation measurement result received from the face orientation measurement unit.
  20.  請求項11~19のいずれか一項に記載の意思決定能力評価プログラムを記録する記録媒体。 A recording medium for recording the decision-making ability evaluation program according to any one of claims 11 to 19.
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