Information processing system, information processing method, and program

Abstract

An information processing system, an information processing method, and a program for searching and viewing information relating to support for the elderly are provided. [Solution] In an information processing system in which a server device and multiple terminal devices are connected to a network, the server device 100 includes an information management unit that acquires and accumulates support record information regarding the support content when the supporter provides the support, an information derivation unit that derives support analysis information regarding the support effect provided by the support based on the support record information, and an information output unit that, in response to receiving a search request from a viewer to search for information about the elderly person, outputs viewing information corresponding to the search request based on the support analysis information.

Description

[Technical field]

[0001] The present invention relates to an information processing system, an information processing method, and a program. [Background technology]

[0002] In Japan, the average life expectancy is increasing and the birth rate is declining, and the proportion of elderly people in the population is steadily increasing, leading to the country being called a super-aged society. In such a super-aged society, the problem of the decline in the quality of life (QOL) of the elderly has come to light. In the fields of nursing care and medical care, attempts are being made to utilize information processing technology (IT technology) to facilitate nursing care activities for the elderly (see, for example, Patent Documents 1 to 3). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2020-135777 A [Patent Document 2] JP 2020-129213 A [Patent Document 3] JP 2020-046847 A Summary of the Invention [Problem to be solved by the invention]

[0004] Even if an elderly person is physically in good condition (healthy), if they are not psychologically fulfilled, they cannot be said to have a high QOL. On the other hand, elderly people who age positively through challenges and discoveries, that is, elderly people who are positively aware of the changes that come with aging and who are actively connected to society, can be said to be in a vital and psychologically good state (a so-called state of well-being). For this reason, there is a need for a system that makes it possible to search and view information about support for the elderly, specifically information about effective support that will lead the elderly to a state of well-being.

[0005] Therefore, an object of the present invention is to provide an information processing system, an information processing method, and a program that enable searching and browsing of information related to support for elderly people. [Means for solving the problem]

[0006] The information processing system according to the first aspect is an information processing system for searching and viewing information related to interactive support for elderly people, and includes an information management unit that acquires and accumulates support record information related to the support content when a supporter provides the support, an information derivation unit that derives support analysis information related to the support effect of the support based on the support record information, and an output unit that, in response to receiving a search request from a viewer to search for information about the elderly person, outputs viewing information corresponding to the search request based on the support analysis information.

[0007] An information processing method according to a second aspect is an information processing method executed by an information processing system for searching and viewing information related to interactive support for elderly people, and includes an information management step of acquiring and storing support record information related to the support content when a supporter provides the support, an information derivation step of deriving support analysis information related to the support effect of the support based on the support record information, and an output step of, in response to receiving a search request from a viewer to search for information about the elderly person, outputting viewing information corresponding to the search request based on the support analysis information.

[0008] The program of the third aspect causes an information processing system for searching and viewing information relating to interactive support for the elderly to execute an information management step of acquiring and storing support record information relating to the content of the support provided by a supporter when the supporter provided the support, an information derivation step of deriving support analysis information relating to the support effect of the support based on the support record information, and an output step of, in response to receiving a search request from a viewer to search for information about the elderly, outputting viewing information corresponding to the search request based on the support analysis information. Effect of the Invention

[0009] According to the present invention, it is possible to provide an information processing system, an information processing method, and a program that enable searching and browsing of information related to support for elderly people. [Brief description of the drawings]

[0010] [Figure 1] 1 is a diagram illustrating a configuration of an information processing system according to an embodiment. [Diagram 2] 13 is a diagram for explaining operations related to training for developing supporters according to an embodiment. FIG. [Diagram 3] 10 is a diagram for explaining an example of an operation regarding information search and browsing by a browser according to the embodiment. FIG. [Figure 4] FIG. 2 is a diagram illustrating an example of the configuration of a server device according to the embodiment. [Diagram 5] FIG. 4 is a diagram illustrating an example of information stored and managed by a server device according to an embodiment. [Figure 6] FIG. 11 is a diagram illustrating an example of analysis by an analysis unit of the server device according to the embodiment. [Figure 7] FIG. 13 is a diagram showing a configuration of a server device according to a first modified example. [Figure 8] FIG. 11 is a diagram for explaining the operation of the server device according to the first modified example. [Figure 9] FIG. 11 is a diagram for explaining operations related to training in the second modified example. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0011] An information processing system according to an embodiment will be described with reference to the drawings. In the description of the drawings, the same or similar parts are denoted by the same or similar reference numerals.

[0012] (1) Information Processing System The information processing system according to the present embodiment will be described with reference to FIGS.

[0013] The information processing system according to the present embodiment is a system for training on dialogue-based support for the elderly. The information processing system according to the present embodiment is also a system for searching and browsing information on dialogue-based support for the elderly.

[0014] Incidentally, "elderly" is a term that refers to older people, but the World Health Organization (WHO) defines "elderly" as anyone aged 65 or older. However, "elderly" can be broadly interpreted as anyone who belongs to the senior age group, and for example, anyone aged 60 or older can be defined as "elderly."

[0015] A "dialogue" for an elderly person means a conversation between the elderly person and a supporter, particularly a conversation on a specific theme. Specific themes include, for example, digital-related (particularly, smartphones and applications), going out (shopping, traveling), cooking, exercise, etc. These themes (categories) are referred to as "interest categories." In the following embodiment, an example is assumed in which the "dialogue" is conducted face-to-face, but the "dialogue" may also be conducted online (i.e., remotely via the Internet).

[0016] A "supporter" is someone who not only responds well to the elderly, but also has the ability to build better relationships with those they come into contact with and draw out lively behavior. For example, a "supporter" can help promote changes in the psychological characteristics of the elderly, leading them to a state of well-being.

[0017] "Training on support" means training to become a "supporter" and may include training through classroom and / or online materials, role-playing training, etc. "Trainers (participants)" who receive such training are included in the broad definition of "supporter." A supporter who has completed the "training" is also referred to as a "first supporter," and a supporter who is undergoing training (taking the course) is also referred to as a "second supporter," and when no particular distinction is made between these, they are simply referred to as "supporters." A "first supporter" may be granted a certification (hereinafter also simply referred to as a "qualification") that certifies that they have completed the training.

[0018] (1.1) Example of information processing system configuration First, a configuration example of an information processing system according to the present embodiment will be described. Fig. 1 is a diagram showing the configuration of an information processing system 1 according to the present embodiment.

[0019] The information processing system 1 according to this embodiment includes a server device 100 and a plurality of terminal devices 200 (terminal devices 200a, 200b, 200c). The server device 100 and each of the terminal devices 200 are connected to a network 5. The network 5 includes the Internet. The network 5 may include a LAN (Local Area Network) and / or a WAN (Wide Area Network). The server device 100 is capable of communicating with each of the terminal devices 200 via the network 5.

[0020] The server device 100 is an information processing device that executes information processing according to this embodiment. The server device 100 has a communication interface with a network 5. The communication interface includes at least one of a wired communication interface and a wireless communication interface. The server device 100 may be a general-purpose computer such as a workstation or a PC, or may be logically realized by cloud computing (distributed computing). In other words, the server device 100 may be configured with one computer or multiple computers.

[0021] In this embodiment, the server device 100 realizes elderly support and training services, particularly training services for developing supporters. Also, in this embodiment, the server device 100 realizes services for searching and browsing information related to elderly support. Details of these services will be described later.

[0022] Each terminal device 200 is, for example, a mobile terminal device such as a smartphone, a tablet terminal device, a notebook PC, or a wearable terminal device. The terminal device 200 may be a fixed terminal device such as a desktop PC. Each terminal device 200 may have an application (dedicated software) used for the service according to the present embodiment installed therein, or may use a general-purpose browser for the service according to the present embodiment.

[0023] Each terminal device 200 has a user interface and a communication interface with the network 5. The user interface includes a display means, an input means (operation input means, a microphone, and / or a camera, etc.), and an output means (a speaker, etc.). The operation input means may include, for example, at least one of a touchpad (which may be a touch panel display), a mouse, and a keyboard. The communication interface with the network 5 includes at least one of a wired communication interface and a wireless communication interface.

[0024] The terminal device 200a is a terminal device 200 used by a first supporter. The terminal device 200a receives operation input from the first supporter and presents information to the first supporter. "Presenting information" mainly means displaying information on a display, but may also include audio output of information through a speaker. The first supporter is a supporter who has completed training. The first supporter may be a person who is qualified as a supporter. The first supporter provides (practices) support to the elderly through dialogue.

[0025] In this embodiment, the information processing system 1 may have one or more sensors 300 for acquiring assistance record information regarding the assistance content when the first supporter performs assistance. The assistance record information is used for training or the like later, including the content and results of assistance by the first supporter through dialogue. The sensor 300 includes at least one of a voice sensor (microphone) that detects voice in the dialogue, a video sensor (camera) that captures the state of the dialogue including the elderly person, and a vital sensor that detects biological information of the elderly person in the dialogue. In the illustrated example, the sensor 300 is electrically connected to the terminal device 200a, and the output of the sensor 300 is transmitted to the server device 100 via the terminal device 200a. Alternatively, the sensor 300 may be built into the terminal device 200a. The sensor 300 has a function of communicating via the network 5, and the output of the sensor 300 may be transmitted to the server device 100 without passing through the terminal device 200a.

[0026] Alternatively, the first supporter may input at least a part of the support record information regarding the support content when the supporter provided support to the terminal device 200a, and the support record information input by the first supporter may be transmitted from the terminal device 200a to the server device 100. However, it is a heavy burden for the first supporter to input information manually. By acquiring the support record information using the sensor 300, the burden on the first supporter can be reduced.

[0027] The terminal device 200b is the terminal device 200 used by the second supporter. The terminal device 200b receives operation input from the second supporter and presents information to the second supporter. The second supporter is a supporter undergoing training (taking a course). The second supporter may not yet have a qualification as a supporter. The terminal device 200b presents training information to the second supporter under the control of the server device 100. The training information is information based on support record information regarding the support content when the first supporter performed support. That is, the server device 100 feeds back information regarding the support performed by the first supporter to the second supporter, thereby realizing effective and efficient training.

[0028] The terminal device 200c is a terminal device 200 used by a viewer who searches for and views information related to elderly support. The terminal device 200c accepts operation input from the viewer and presents information to the viewer. The viewer accesses the server device 100 using the terminal device 200c. In this embodiment, the terminal device 200c transmits a search request to the server device 100, receives viewing information in response to the search request from the server device 100, and presents the viewing information to the viewer.

[0029] In this embodiment, the viewer is a third party different from both the elderly person who is the recipient of support and the supporter (first supporter, second supporter). The viewer may have an account for a service for searching and viewing information on elderly support, and may be able to use the service by paying a service fee. The viewer may plan and develop products and services for seniors, and conduct research and marketing activities for seniors, based on the viewing information.

[0030] However, the viewers may include a manager who monitors and manages the support status of the first supporter, and a lecturer who trains and educates the second supporter.

[0031] (1.2) Example of operation of information processing system Next, an operation example of the information processing system 1 according to this embodiment will be described.

[0032] (1.2.1) Example of training for developing supporters FIG. 2 is a diagram for explaining operations related to training for developing supporters according to this embodiment.

[0033] In step S1, the first supporter provides (practices) support to the elderly person through dialogue. For example, the first supporter engages in dialogue regarding one or more interest categories. The first supporter may provide support to the same elderly person multiple times (for example, periodic support). The information processing system 1 manages information on the elderly person who is the recipient of support and information on the supporter who provided the support for each support implementation. The information on the elderly person includes the elderly person's ID and information on the attributes of the elderly person. The information on the supporter includes the supporter's ID and information on the attributes of the supporter. It is assumed that these pieces of information are registered in the information processing system 1 by manual input, but at least a part of the information may be determined by the information processing system 1 and automatically registered.

[0034] In step S2, the information processing system 1 acquires assistance record information related to the assistance content when the supporter provided assistance. The information processing system 1 may acquire the assistance record information based on the output of the sensor 300, or may acquire the assistance record information based on information input by the first supporter to the terminal device 200a. For example, based on the output of the sensor 300, the information processing system 1 may acquire at least one of voice data in the dialogue, text data obtained by converting the voice data into text (i.e., voice recognition), imaging data (video data) in the dialogue, and vital data of the elderly person (e.g., heart rate, blood pressure, body temperature, respiratory rate, etc.) as assistance record information.

[0035] In step S3, the information processing system 1 accumulates and analyzes the support record information, and derives support analysis information on the support effect by the support of the first supporter based on the support record information. For example, the information processing system 1 may derive support analysis information indicating the support effect by performing at least one of voice emotion analysis, frequent word analysis, characteristic word analysis, and positive / negative word analysis based on voice data or text data. The information processing system 1 may derive support analysis information indicating the support effect by performing at least one of psychological analysis and physical analysis of the elderly based on at least one of imaging data and vital data. The information processing system 1 may analyze improvement of at least one psychological characteristic of the elderly's self-affirmation, the elderly's curiosity level, the elderly's problem-solving ability, and the elderly's interpersonal attitude as the support effect.

[0036] The information processing system 1 may derive association information that associates the assistance record information with the assistance analysis information. The association information may include a learning model (trained model) obtained by machine learning that learns about the assistance record information and the assistance analysis information. The learning model is a model that learns patterns and relationships from input information (data) and is used to make predictions and judgments about new information (data). For example, the learning model may be a linear regression model that models linear relationships between data and makes predictions and classifications, a decision tree model that classifies data in a tree-like structure and makes predictions and classifications, or a neural network model that learns complex patterns using a model that mimics the neural circuits of the human brain and makes predictions, classifications, generation, and the like.

[0037] Alternatively, the association information may be a table in which assistance record information and assistance analysis information are associated with each other. For example, the association information may be a table in which summary data that summarizes text data included in the assistance record information is associated with assistance analysis information (for example, information on improvement of psychological characteristics).

[0038] The information processing system 1 may derive association information that further associates information on attributes of the elderly with the support record information and the support analysis information. The attributes of the elderly include at least one of the following: psychological characteristics of the elderly, environmental characteristics of the elderly, interest levels (level of interest) or skill levels (level of skill) of the elderly for each interest category, and physical characteristics of the elderly. Here, the psychological characteristics of the elderly are at least one of the self-affirmation of the elderly, the curiosity level of the elderly, the problem-solving ability of the elderly, and the interpersonal attitude of the elderly. The environmental characteristics of the elderly are characteristics of the living environment (area where the elderly live, address) and the social environment (status, occupation, etc.). The physical characteristics of the elderly are gender, age, etc.

[0039] The information processing system 1 may derive association information in which information on interest categories handled in the dialogue is further associated with the assistance record information and the assistance analysis information.

[0040] In step S4, the information processing system 1 outputs training information based on the support analysis information (or the association information). The information processing system 1 may present the training information on the terminal device 200b of the second supporter. However, the output method is not limited to such an electromagnetic output method, and the information processing system 1 may output (print) the training information on a paper medium to be distributed to the second supporter using a printer, for example.

[0041] The information processing system 1 may output, as training information, recommended support information indicating recommended support contents for each attribute of the elderly person based on the association information. For example, when the information processing system 1 receives a search request including information indicating a search target attribute, which is an attribute to be searched, it may output, as training information, recommended support information indicating support contents recommended for the elderly person belonging to the search target attribute. The recommended support information includes at least one of a recommended support pattern, a recommended interest category, the speech content of a recommended supporter, and the attribute of a recommended supporter. The support pattern is a mental attitude (type of support approach) of a supporter in support (dialogue), such as "making active suggestions (problem solving)", "emphasizing attentive listening", and "praising the other person".

[0042] Each elderly person has various attributes (including psychological characteristics), and the optimal support content differs for each elderly person's attributes. Therefore, the information processing system 1 outputs recommended support information indicating the recommended support content by attribute as training information, so that the second supporter can grasp (learn) the optimal support content for each elderly person's attribute based on the training information.

[0043] For example, the attributes of elderly people can be classified into three attributes: A "positive next-generation seniors", B "curious and negative seniors", and C "active problem-solving seniors". In this case, for A "positive next-generation seniors", the information processing system 1 can output recommended support information such as "easy to accept non-digital suggestions such as going out" as training information for the interest category. For B "curious and negative seniors", the information processing system 1 can output recommended support information such as "negative thoughts are strong, so it is important to praise them" as training information. For C "active problem-solving seniors", the information processing system 1 can output recommended support information such as "problem solving is a need, so after overwhelmingly solving the problem, make proactive suggestions to gain their trust. Then, make non-digital suggestions" as training information.

[0044] Alternatively, the information processing system 1 can output recommended support information such as "This lecture should be given to people with this level of digital ability" as training information. The information processing system 1 can output recommended support information such as "For men who live in this area, are in this income bracket, and have values ​​like this, we can make this kind of proposal other than digital" as training information.

[0045] The information processing system 1 may output, as training information, recommended support information indicating recommended support contents for each interest category based on the association information. For example, when the information processing system 1 receives a search request including information indicating a search target interest category that is a search target interest category, the information processing system 1 may output, as training information, recommended support information indicating support contents recommended for the search target interest category.

[0046] The optimal support content differs for each interest category dealt with in the dialogue. Therefore, the information processing system 1 outputs recommended support information indicating the recommended support content for each interest category as training information, so that the second supporter can grasp (learn) the optimal support content for each interest category of the elderly person based on the training information.

[0047] In step S5, the second supporter receives training based on the training information. For example, the second supporter learns about elderly support using the training information presented by the terminal device 200b. The training is conducted according to a predetermined curriculum, and may include classroom lectures and / or training using online teaching materials, role-playing training, and the like. The information processing system 1 manages information on the progress and achievement status in such training.

[0048] In step S6, when the second supporter completes the training, the second supporter is given a qualification and becomes a new first supporter. That is, the second supporter is trained to become a new first supporter. The information processing system 1 manages information on the second supporter's completion of the training and information on the granting of qualifications to the second supporter.

[0049] In this way, the information processing system 1 acquires (step S2) support record information on the support content when the first supporter who has completed the training provided support (step S1), and outputs (step S4) training information to be used for training the second supporter who is currently in training based on the support record information. As a result, the information on the support provided by the first supporter is utilized by the information processing system 1 to provide feedback to the second supporter, realizing effective and efficient training.

[0050] Then, when the second supporter completes this training, he / she becomes a new first supporter (step S6), and the new first supporter practices support for the elderly (step S1). That is, by repeating the cycle of steps S1 to S6, the number of first supporters increases, and the number of human resources capable of providing appropriate support for the elderly is expanded.

[0051] As a result, the number of elderly people in a state of well-being will increase, which will contribute to solving social issues in a super-aging society. In addition, supporters who complete the training will have a deeper understanding of seniors and will be able to acquire the skills to build trusting relationships with them in the medium to long term, which will enable them to improve the satisfaction of their senior customers.

[0052] (1.2.2) Examples of user behavior regarding information search and browsing FIG. 3 is a diagram for explaining an example of an operation related to information search and browsing by a browser according to this embodiment.

[0053] The training information output by the above-mentioned information processing system 1 is useful not only for the second supporter undergoing training, but also for third parties who plan and develop products and services for seniors and third parties who conduct research and marketing activities for seniors. Therefore, in this embodiment, the information processing system 1 provides a service for searching and viewing information related to elderly support to third parties.

[0054] 3, the information processing system 1 acquires (step S2) and accumulates (step S3) support record information on the support content when a supporter provides support. The information processing system 1 derives support analysis information on the support effect of the support based on the support record information (step S3).

[0055] In this embodiment, in step S11, the information processing system 1 outputs browsing information corresponding to the search request based on the support analysis information in response to receiving a search request for searching information about elderly people from a viewer (third party). The browsing information is the same as the training information described above.

[0056] Specifically, the information processing system 1 outputs viewing information based on the support analysis information (or association information). The information processing system 1 may present the viewing information on the viewer's terminal device 200c. However, the output method is not limited to such an electromagnetic output method, and the information processing system 1 may output (print) the viewing information on a paper medium provided to the viewer using a printer, for example. Other operations are similar to the above-mentioned example operations related to training. However, the information processing system 1 does not include information that can identify an individual, such as an elderly person ID or a supporter ID, in the viewing information.

[0057] In this way, the information processing system 1 acquires (step S2) support record information on the support content when the supporter provides support (step S1), and outputs viewing information according to the search request based on the support analysis information (step S11). This allows the information on the support provided by the supporter to be viewed by the viewer (third party) via the information processing system 1. As a result, the viewer (third party) can efficiently and smoothly plan and develop products and services for seniors, and conduct research and marketing activities for seniors.

[0058] (2) Example of server device configuration Next, a configuration example of the server device 100 according to the present embodiment will be described. Fig. 4 is a diagram showing a configuration example of the server device 100 according to the present embodiment. Fig. 5 is a diagram showing an example of information stored and managed by the server device 100 according to the present embodiment.

[0059] 4, the server device 100 includes a communication unit 110, an information storage unit 120, and an information processing unit 130. The communication unit 110, the information storage unit 120, and the information processing unit 130 are connected to each other by a bus or the like (not shown).

[0060] The communication unit 110 includes a communication interface, and communicates with other devices (e.g., terminal device 200) via the network 5 under the control of the information processing unit 130. The communication by the communication unit 110 may be wired communication or may include wireless communication. The information storage unit 120 includes various memories such as a ROM (Read Only Memory), a RAM (Random Access Memory), and an auxiliary storage device. The programs executed by the information processing unit 130 are stored, for example, in the ROM and / or the auxiliary storage device of the information storage unit 120. The information processing unit 130 includes one or more processors.

[0061] The information processing unit 130 executes a program (software) stored in the information storage unit 120 to realize the functions of an information management unit 131 that acquires and accumulates support record information related to the support content when a supporter provides support, an information derivation unit 132 that derives support analysis information related to the support effect by the support based on the support record information, and an information output unit 133 that outputs training information to be used for training the supporter or another supporter based on the support analysis information. In this embodiment, the information management unit 131 acquires support record information related to the support content when a first supporter who has completed training provides support. The information output unit 133 outputs training information to be used for training a second supporter. Each of these units performs information processing using the information stored in the information storage unit 120 while communicating with the terminal device 200 via the communication unit 110.

[0062] In this embodiment, the information management unit 131 has an elderly person information acquisition unit 131a that acquires elderly person information, a supporter information acquisition unit 131b that acquires supporter information, and an support record information acquisition unit 131c that acquires support record information. The information derivation unit 132 has an analysis unit 132a that analyzes the support record information to derive support analysis information, and a generation unit 132b that generates association information that associates the support record information with the support analysis information. The information output unit 133 has an extraction unit 133a that receives a search request and extracts information (training information, viewing information) according to the search request based on the association information, and a presentation unit 133b that presents the extracted information (training information, viewing information).

[0063] The information storage unit 120 includes an elderly information storage unit 121 that stores elderly information acquired by the elderly information acquisition unit 131a, a supporter information storage unit 122 that stores supporter information acquired by the supporter information acquisition unit 131b, a support record information storage unit 123 that stores support record information acquired by the support record information acquisition unit 131c, and a correspondence information storage unit 124 that stores correspondence information generated by the generation unit 132b.

[0064] The elderly information storage unit 121 stores elderly information for each elderly person to be supported. The elderly person to be supported may be an elderly person who has an account for an elderly person support service and can use the service by paying a service fee. In the example of FIG. 5(a), the elderly information for each elderly person includes an elderly person ID and elderly person attribute information. The elderly person attribute information includes information on the elderly person's psychological characteristics (for example, information on classifications such as A "positive next-generation seniors", B "curious and negative seniors", and C "active problem-solving seniors"), information on the elderly person's environmental characteristics, information on the elderly person's interest level or skill level by interest category, and information on the elderly person's physical characteristics. The information on the elderly person's psychological characteristics includes the elderly person's self-affirmation, the elderly person's curiosity level, the elderly person's problem-solving ability, and the elderly person's interpersonal attitude (for example, arrogant or gentle, etc.).

[0065] The supporter information storage unit 122 stores supporter information for each supporter. Supporters include a first supporter and a second supporter. In the example of FIG. 5(b), the supporter information for each supporter includes a supporter ID and supporter attribute information. The supporter attribute information includes training status information indicating whether the supporter is currently undergoing training or has completed training (i.e., whether or not the supporter has a qualification), rank information indicating the skill level (rank) of the supporter, environmental characteristic information, and physical characteristic information. The training status information may include information on the progress of training (achievement status) for supporters currently undergoing training.

[0066] The support record information acquiring unit 131c acquires, as support record information, voice data during the support (dialogue), text data obtained by converting the voice data into text, image data during the dialogue, and vital sign data of the elderly person, based on the output of the sensor 300. The support record information acquiring unit 131c may acquire support record information including information manually input by the first supporter.

[0067] The assistance record information storage unit 123 stores assistance record information for each assistance provided. In the example of FIG. 5(c), the assistance record information includes an assistance ID, an elderly person ID, a supporter ID, information on the assistance pattern of the assistance, information on the interest category handled in the assistance, voice data, text data, imaging data, and vital sign data. The text data may be summary data obtained by converting voice data into text and summarizing the content. The summary data may be created using, for example, a known voice / text summarization technique (for example, a text summarization AI). The summary data may be text data that summarizes the content for each topic in the dialogue.

[0068] The analysis unit 132a of the information derivation unit 132 analyzes the support record information stored in the support record information storage unit 123 to derive support analysis information. The analysis unit 132a analyzes improvement of at least one psychological characteristic of the elderly person's self-affirmation, the elderly person's curiosity level, the elderly person's problem-solving ability, and the elderly person's interpersonal attitude as a support effect. For example, a known emotion analysis technique (for example, emotion recognition AI) can be used for such analysis. At least a part of such analysis may be performed by the first supporter or the manager.

[0069] For example, the analysis unit 132a may derive support analysis information indicating the support effect by performing at least one of voice emotion analysis, frequent word analysis, characteristic word analysis, and positive / negative word analysis based on the voice data or text data. The voice emotion analysis makes it possible to analyze the emotion of the elderly, the frequent word analysis and characteristic word analysis makes it possible to analyze the degree of curiosity, and the positive / negative word analysis makes it possible to analyze self-affirmation. Note that the voice emotion analysis is to perform frequency analysis and / or spectrum analysis of the voice, and to analyze pitch, jitter, volume, voice quality, speaking speed, prosody, etc., and it is possible to analyze emotions. The positive / negative word analysis is to analyze positive words and / or negative words, and for example, negative words include words such as "there is not much time left" and "I feel that lonely death is close", and positive words include words such as "I am not scared if you are with me", "I will try to do something that interests me", and "I have always wanted to go abroad to study".

[0070] The analysis unit 132a of the information derivation unit 132 may derive support analysis information indicating the support effect by performing at least one of psychological analysis and physical analysis based on at least one of the imaging data and the vital data. It is possible to analyze the emotions of the elderly by analyzing their facial expressions using the imaging data or by analyzing their emotions using the vital data.

[0071] FIG. 6 is a diagram showing an example of analysis by the analysis unit 132a according to the present embodiment. In the illustrated example, the psychological characteristics of elderly people are classified into four types depending on whether their self-affirmation is positive or negative and whether their degree of curiosity (and problem-solving ability) is positive or negative. Elderly people whose self-affirmation and degree of curiosity (and problem-solving ability) are both positive are classified as A "positive next-generation seniors". Among A "positive next-generation seniors", elderly people whose self-affirmation and degree of curiosity (and problem-solving ability) are high may be classified as "S". Elderly people whose self-affirmation is negative and whose degree of curiosity (and problem-solving ability) is positive are classified as B "curious negative seniors". Elderly people whose self-affirmation is positive and whose degree of curiosity (and problem-solving ability) is negative are classified as C "active problem-solving seniors". Elderly people whose self-affirmation and degree of curiosity (and problem-solving ability) are both negative are classified as D "others".

[0072] In the illustrated example, the analysis unit 132a analyzes the elderly person's self-affirmation and degree of curiosity (and problem-solving ability) and determines whether these psychological characteristics have improved. For example, the analysis unit 132a determines that the elderly person's psychological characteristics have improved when the elderly person's psychological characteristics change from "D" to "B" or "C", when the elderly person's psychological characteristics change from "B" or "C" to "A", or when the elderly person's psychological characteristics change from "A" to "S". Then, the analysis unit 132a derives support analysis information including information on such improvement of psychological characteristics. The support analysis information may include information on which classification the elderly person's psychological characteristics have changed from.

[0073] The generating unit 132b of the information derivation unit 132 generates association information that associates the assistance record information with the assistance analysis information. The generating unit 132b may generate association information that further associates information on attributes of the elderly person with the assistance record information and the assistance analysis information. The generating unit 132b may derive association information that further associates information on interest categories handled in the dialogue.

[0074] The association information storage unit 124 stores the association information generated by the generation unit 132b. In the example of Fig. 5(d), the association information includes 1) elderly person attribute information, 2) supporter attribute information, 3) support record information (information on support content), and 4) support analysis information (information on improvement of the elderly person's psychological characteristics). Such association information makes it possible to identify correlations between the elderly person's attributes, the supporter's attributes, the support content, and the improvement of the elderly person's psychological characteristics.

[0075] For example, it is possible to specify, based on the association information, what kind of support content and / or what kind of supporter is effective (effective) for improving the psychological characteristics of an elderly person with a certain attribute. Alternatively, it is possible to specify, based on the association information, what kind of elderly person has what kind of attribute a certain support content (including an interest category) is effective (effective).

[0076] In the example of FIG. 5(d), 1) elderly person attribute information, 2) supporter attribute information, 3) support record information (information on support content), and 4) support analysis information (information on improvement of elderly person's psychological characteristics) are associated with each other in a table. However, the correlations between these pieces of information, that is, the correlations between elderly person's attributes, supporter's attributes, support content, and improvement of elderly person's psychological characteristics, may be learned by machine learning, and the association information may be configured by a learned model. This makes it possible to predict unknown information that has not yet been collected based on known information (learned model).

[0077] The information output unit 133 outputs training information (or viewing information) based on the association information. The information output unit 133 may output recommended support information indicating recommended support contents by attributes of the elderly person as training information (and / or viewing information) based on the association information. The information output unit 133 may output recommended support information indicating recommended support contents by interest category as training information (and / or viewing information) based on the association information. The recommended support information includes, for example, at least one of a recommended support pattern, a recommended interest category, utterance content of a recommended supporter, and an attribute of a recommended supporter.

[0078] When the extraction unit 133a of the information output unit 133 receives a search request including information indicating a search target attribute, which is an attribute to be searched, from the second supporter, it may extract (acquire) recommended support information indicating support content recommended for an elderly person belonging to the search target attribute from the association information storage unit 124. When the extraction unit 133a receives a search request including information indicating a search target interest category, which is an interest category to be searched, from the second supporter, it may extract (acquire) recommended support information indicating support content recommended for the search target interest category from the association information storage unit 124. The presentation unit 133b of the information output unit 133 may present the recommended support information extracted by the extraction unit 133a to the second supporter as training information.

[0079] Furthermore, when the extraction unit 133a of the information output unit 133 receives a search request including information indicating a search target attribute, which is an attribute to be searched, from a viewer (third party), it may extract (acquire) recommended support information indicating support content recommended for elderly people belonging to the search target attribute from the association information storage unit 124. When the extraction unit 133a receives a search request including information indicating a search target interest category, which is an interest category to be searched, from the viewer, it may extract (acquire) recommended support information indicating support content recommended for the search target interest category from the association information storage unit 124. The presentation unit 133b of the information output unit 133 may present the recommended support information extracted by the extraction unit 133a to the viewer as viewing information.

[0080] (3) Change Example 1 Next, a first modification of the above-mentioned embodiment will be described. Fig. 7 is a diagram showing a configuration of a server device 100 according to this modification. Fig. 8 is a diagram for explaining the operation of the server device 100 according to this modification.

[0081] As shown in Fig. 7, the information processing unit 130 of the server device 100 according to this modification further includes a matching unit 134. Based on the attributes (particularly, psychological characteristics) of the elderly person to be supported, the skill level (rank) of a supporter required for the attributes is identified, and a supporter having the identified skill level (rank) is assigned as a supporter who will provide support to the elderly person to be supported. This makes it possible to assign an appropriate supporter to each elderly person to be supported.

[0082] As shown in FIG. 8, there are four skill levels (ranks) of supporters, for example, bronze, silver, gold, and platinum. Supporters with higher ranks may receive higher hourly remuneration. Supporters start at bronze and move up in rank one step at a time as their skills improve. Ranking up may be determined by a test on a course of action.

[0083] In the example of FIG. 8, the matching unit 134 assigns a bronze rank supporter to an elderly person classified as A "positive next generation seniors" whose self-affirmation and degree of curiosity (and problem-solving ability) are both positive. The matching unit 134 also assigns a silver rank or higher supporter to an elderly person classified as B "curious negative seniors" whose self-affirmation is negative and whose degree of curiosity (and problem-solving ability) is positive. The matching unit 134 also assigns a gold rank or higher supporter to an elderly person classified as C "active problem-solving seniors" whose self-affirmation is positive and whose degree of curiosity (and problem-solving ability) is negative.

[0084] The matching unit 134 may further take into consideration the areas (addresses) in which the elderly person to be supported and the supporter live. The matching unit 134 may preferentially assign to the elderly person a supporter whose address is close to the address of the elderly person.

[0085] The matching unit 134 may further consider the interest categories of the elderly person to be assisted and the supporter. The matching unit 134 may preferentially assign a supporter who is interested in the same interest category as the elderly person to the elderly person.

[0086] When it becomes necessary to replace a certain supporter with another supporter, the matching unit 134 may select and assign the other supporter who has many attributes in common with the supporter who needs to be replaced.

[0087] (4) Change Example 2 In the above embodiment, an example of training for developing a second supporter as a new first supporter has been described (see FIG. 2). However, as in the modified example shown in FIG. 9, training (e.g., OJT training) for improving or evaluating the skills of the first supporter may be performed.

[0088] The operation shown in FIG. 9 will be described mainly with a focus on differences from the operation according to the above embodiment (the operation shown in FIG. 2).

[0089] As shown in FIG. 9, the operations from step S1 to step S3 are similar to those in the above-described embodiment.

[0090] In step S4, the information processing system 1 outputs training information for the first trainee based on the support analysis information (or the association information). The training information is similar to that in the above-described embodiment. For example, the information processing system 1 may present the training information on the terminal device 200a of the first trainee. However, the output method is not limited to such an electromagnetic output method, and the information processing system 1 may output (print) the training information on a paper medium using a printer, for example.

[0091] In this modification, the information derivation unit 132 (analysis unit 132a) of the server device 100 may derive evaluation information indicating the evaluation result of the support content by the supporter as support analysis information based on the support record information. Then, the information output unit 133 (presentation unit 133b) of the server device 100 may output the evaluation information as training information.

[0092] Such evaluation information may be information on whether or not the psychological characteristics of the elderly person have improved, or information on how / to what extent the physical characteristics of the elderly person have improved. This makes it possible to evaluate the support content of the first supporter and provide feedback for determining the next support content by the first supporter.

[0093] Such evaluation information may be information indicating a skill level (rank) determined according to the progress of improvement in the psychological characteristics of the elderly person, which makes it possible to objectively and fairly evaluate the skill level (rank) of the first supporter.

[0094] (5) Other embodiments In the above embodiment, at least a part of the processing executed by the server device 100 may be changed to be executed on the terminal device 200 side. In this case, at least a part of each unit included in the above-mentioned information processing unit 130 may be moved to the terminal device 200, or at least a part of each unit included in the above-mentioned information storage unit 120 may be moved to the terminal device 200.

[0095] The operational flows and operational examples in the above-described embodiments do not necessarily have to be executed in chronological order according to the order depicted in the flow diagrams. For example, steps in the operations may be executed in an order different from that depicted in the flow diagrams, or in parallel. In addition, some of the steps in the operations may be deleted, and additional steps may be added to the process.

[0096] A program may be provided that causes a computer (information processing device) to execute the operations according to the above-described embodiments. The program may be recorded in a computer-readable medium. Using the computer-readable medium, it is possible to install the program in a computer. Here, the computer-readable medium on which the program is recorded may be a non-transient storage medium. The non-transient storage medium is not particularly limited, and may be, for example, a storage medium such as a CD-ROM or a DVD-ROM.

[0097] The functions realized by the information processing system 1 may be implemented in circuitry or processing circuitry, including general purpose processors, application specific processors, integrated circuits, ASICs (Application Specific Integrated Circuits), a CPU (a Central Processing Unit), conventional circuits, and / or combinations thereof, programmed to realize the described functions. Processors include transistors and other circuits and are considered to be circuitry or processing circuitry. A processor may be a programmed processor that executes a program stored in a memory. In this specification, a circuitry, a unit, or a means is hardware that is programmed to realize the described functions or that executes the described functions. The hardware may be any hardware disclosed in this specification or any hardware that is programmed to realize the described functions or that is known to execute the described functions. When the hardware is a processor, which is considered to be a type of circuitry, the circuitry, means, or unit is a combination of hardware and software used to configure the hardware and / or processor.

[0098] As used herein, the terms "based on" and "in response to" do not mean "based only on" or "in response to" unless otherwise specified. The term "based on" means both "based only on" and "based at least in part on". Similarly, the term "in response to" means both "based only on" and "in response to". In addition, the terms "include", "comprise", and variations thereof do not mean including only the items listed, but may include only the items listed, or may include additional items in addition to the items listed. In addition, the term "or" as used herein is not intended to be an exclusive or. In this specification, when articles are added by translation, such as a, an, and the in English, these articles are intended to include the plural unless the context clearly indicates otherwise.

[0099] The above describes the embodiments in detail with reference to the drawings, but the specific configuration is not limited to that described above, and various design changes, etc. are possible without departing from the spirit of the invention. [Explanation of symbols]

[0100] 1: Information processing system 5: Network 100: Server device 110: Communications Department 120: Information storage section 121: Elderly information storage unit 122: Supporter information storage unit 123: Support record information storage unit 124: Corresponding information storage unit 130: Information Processing Unit 131: Information Management Department 131a: Elderly Information Acquisition Department 131b: Supporter information acquisition department 131c: Support record information acquisition unit 132: Information derivation part 132a: Analysis section 132b: Generation part 133: Information output section 133a: Extraction part 133b: Presentation part 134: Matching section 200: Terminal device 300: Sensor

Claims

1. An information processing system for searching and browsing information on dialogue-based support for elderly people, an information management unit that acquires and accumulates support record information regarding support content when a supporter provides the support; an information derivation unit that derives support analysis information regarding a support effect due to the support based on the accumulated support record information; an information output unit that outputs browsing information corresponding to a search request based on the support analysis information in response to receiving a search request for searching information about the elderly person from a viewer other than the supporter, The information derivation unit is an analysis unit that determines a change in a psychological characteristic of the elderly person due to the support based on the accumulated support record information, and analyzes the improvement in the psychological characteristic as the support effect; a generating unit that generates association information that associates the support analysis information regarding the improvement of the psychological characteristic with information indicating the support content that has resulted in the improvement of the psychological characteristic. Information processing system.

2. The information management unit acquires, as the assistance record information, at least one of voice data in the dialogue, text data obtained by converting the voice data into text, image data in the dialogue, and vital sign data of the elderly person, based on outputs from one or more sensors. The information processing system according to claim 1 .

3. The information derivation unit derives the support analysis information indicating the support effect by performing at least one of a voice emotion analysis, a frequent word analysis, a characteristic word analysis, and a positive / negative word analysis based on the voice data or the text data. The information processing system according to claim 2 .

4. The information derivation unit performs at least one of a psychological analysis and a physical analysis based on at least one of the imaging data and the vital data, thereby deriving the support analysis information indicating the support effect. The information processing system according to claim 2 .

5. The information derivation unit analyzes, as the support effect, an improvement in at least one of the psychological characteristics of the elderly person, the elderly person's self-affirmation, the elderly person's curiosity level, the elderly person's problem-solving ability, and the elderly person's interpersonal attitude. The information processing system according to any one of claims 1 to 4.

6. the information derivation unit derives the association information that associates the assistance record information with the assistance analysis information; The information output unit outputs the browsing information based on the association information. The information processing system according to claim 1 .

7. the information management unit derives the association information by further associating information on attributes of the elderly person with the support record information and the support analysis information; The information output unit outputs, as the browsing information, recommended support information indicating recommended support contents for each of the attributes based on the association information.

7. The information processing system according to claim 6.

8. The recommended assistance information includes at least one of a recommended assistance pattern, a recommended interest category, a recommended speech content for the elderly person, and an attribute of a recommended assistance provider. The information processing system according to claim 7.

9. When the information output unit receives a search request including information indicating a search target attribute, which is the attribute to be searched, the information output unit outputs the recommended assistance information indicating assistance content recommended for an elderly person belonging to the search target attribute as the browsing information. The information processing system according to claim 7.

10. The attributes include at least one of the following: psychological characteristics of the elderly, environmental characteristics of the elderly, interest levels or skill levels of the elderly by interest category, and physical characteristics of the elderly. The information processing system according to claim 7.

11. An information processing system for searching and browsing information relating to dialogue-based support for elderly people, comprising: an information management unit that acquires and accumulates support record information regarding support content when a supporter provides the support; an information derivation unit that derives support analysis information related to a support effect by the support based on the support record information; an information output unit that outputs browsing information corresponding to a search request based on the support analysis information in response to receiving a search request from a browser to search for information about the elderly person, the information derivation unit derives association information that associates the assistance record information, the assistance analysis information, and information on interest categories handled in the dialogue; The information output unit outputs, as the browsing information, recommended support information indicating recommended support contents for each of the interest categories based on the association information. Information processing system.

12. The recommended support information includes at least one of a recommended support pattern, a speech content recommended for the elderly person, and an attribute of a recommended support person. The information processing system according to claim 11.

13. When the information output unit receives a search request including information indicating a search target interest category, which is the interest category to be searched, the information output unit outputs the recommended assistance information indicating assistance content recommended for the search target interest category as the browsing information. The information processing system according to claim 11.

14. The association information includes a trained model obtained by machine learning that learns about the assistance record information and the assistance analysis information.

14. An information processing system according to any one of claims 6 to 13.

15. An information processing method executed by an information processing system for searching and browsing information on dialogue-based support for elderly people, comprising: an information management step of acquiring and accumulating support record information regarding the support content when the supporter provides the support; an information derivation step of deriving support analysis information regarding a support effect due to the support based on the accumulated support record information; an information output step of outputting browsing information corresponding to a search request based on the support analysis information in response to receiving a search request for searching information about the elderly person from a viewer other than the supporter, The information derivation step includes: an analysis step of determining a change in a psychological characteristic of the elderly person due to the support based on the accumulated support record information, and analyzing the improvement in the psychological characteristic as the support effect; and generating association information that associates the support analysis information regarding the improvement of the psychological characteristic with information indicating the support content that has resulted in the improvement of the psychological characteristic. Information processing methods.

16. An information processing system for searching and browsing information on dialogue-based support for the elderly, an information management step of acquiring and accumulating support record information regarding the support content when the supporter provides the support; an information derivation step of deriving support analysis information regarding a support effect due to the support based on the accumulated support record information; an information output step of outputting information for browsing in response to a search request for searching information about the elderly person from a viewer other than the support person, based on the support analysis information; The information derivation step includes: an analysis step of determining a change in a psychological characteristic of the elderly person due to the support based on the accumulated support record information, and analyzing the improvement in the psychological characteristic as the support effect; and generating association information that associates the support analysis information regarding the improvement of the psychological characteristic with information indicating the support content that has resulted in the improvement of the psychological characteristic. program.

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