Information processing system, information processing method, and program

Abstract

This system provides an information processing system, information processing method, and program for searching and viewing information related to support for the elderly. [Solution] In an information processing system in which a server device and a plurality of terminal devices are connected to a network, the server device 100 includes an information management unit that acquires and stores support record information relating to the content of support when a supporter provides the support, an information extraction unit that derives support analysis information relating to the support effect of the support based on the support record information, and an information output unit that, in response to receiving a search request from a viewer for searching for information relating to 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 Art

[0002] In Japan, as the average life expectancy increases and the birthrate declines, the proportion of the elderly in the population has been steadily increasing, and it has come to be called a super-aged society. In such a super-aged society, the problem of the decline in the QOL (Quality of Life) of the elderly has become prominent. Here, in the fields of caregiving and medicine, attempts have been made to utilize information processing technology (IT technology) to smooth the caregiving activities for the elderly (see, for example, Patent Documents 1 to 3).

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Patent Document 2

Patent Document 3

Summary of the Invention

Problems to be Solved by the Invention

[0004] Even for physically healthy (well) elderly people, if they are not psychologically satisfied, their QOL cannot be said to be high. On the other hand, elderly people who are positively aging through challenges and discoveries, that is, elderly people who have a positive awareness of their own changes due to aging and have an active connection with society, can be said to be in a vibrant and psychologically good state (so-called well-being state). Therefore, it is desired to realize a system that can search for and view information regarding support for the elderly, specifically, information regarding effective support that leads the elderly to a well-being state.

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

[0006] The first aspect of the information processing system is an information processing system for searching and viewing information related to dialogue-based support for the elderly, comprising: an information management unit that acquires and stores support record information relating to the content of support when a supporter provides the support; an information derivation unit that derives support analysis information relating to the support effect of the support based on the support record information; and an output unit that, upon receiving a search request from a viewer for searching information related to the elderly, outputs viewing information corresponding to the search request based on the support analysis information.

[0007] The second aspect of the information processing method is an information processing method performed by an information processing system for searching and viewing information related to dialogue-based support for the elderly, comprising: an information management step of acquiring and accumulating support record information relating to the content of support when a supporter provides 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 outputting viewing information corresponding to the search request based on the support analysis information in response to receiving a search request from a viewer for searching information about the elderly.

[0008] The program according to the third embodiment causes an information processing system for searching and viewing information on dialogue-based support for the elderly to execute an information management step of acquiring and storing support record information regarding the content of support when a supporter provides the support; an information derivation step of deriving support analysis information regarding the support effect of the support based on the support record information; and an output step of outputting viewing information corresponding to the search request based on the support analysis information when a search request for information on the elderly is received from a viewer. [Effects 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 the elderly. [Brief explanation of the drawing]

[0010] [Figure 1] This is a diagram showing the configuration of an information processing system according to an embodiment. [Figure 2] This is a diagram illustrating the operation of training for developing support staff according to the embodiment. [Figure 3] This is a diagram illustrating an example of information retrieval and viewing operations by a viewer according to the embodiment. [Figure 4] This figure shows an example configuration of a server device according to the embodiment. [Figure 5] This figure shows an example of information stored and managed by the server device according to the embodiment. [Figure 6] This figure shows an example of analysis performed by the analysis unit of the server device according to the embodiment. [Figure 7] This diagram shows the configuration of the server device related to Change Example 1. [Figure 8] This is a diagram illustrating the operation of the server device related to modification example 1. [Figure 9] This is a diagram illustrating the operation of the training related to Change Example 2. [Modes for carrying out the invention]

[0011] Referring to the drawings, an information processing system according to an embodiment will be described. 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 Referring to FIGS. 1 to 3, an information processing system according to this embodiment will be described.

[0013] The information processing system according to this embodiment is a system for training related to supporting elderly people through dialogue. Further, the information processing system according to this embodiment is also a system for searching and browsing information related to supporting elderly people through dialogue.

[0014] Note that the term "elderly person" refers to a person of high age. However, the World Health Organization (WHO) defines a person aged 65 or older as an "elderly person". However, the term "elderly person" can be broadly interpreted as a person belonging to the senior group. For example, a person aged 60 or older may be regarded as an "elderly person".

[0015] "Dialogue" with an elderly person means that the elderly person and the supporter talk to each other. In particular, it is a conversation about a specific theme. The specific theme is, for example, digital-related (especially smartphones and applications), going out (shopping, traveling), cooking, exercise, etc. These themes (categories) are referred to as "interest categories". In the following embodiments, an example where "dialogue" is carried out face-to-face is assumed. However, "dialogue" may be carried out online (that is, remotely via the Internet).

[0016] A "supporter" is a person who not only responds well to elderly people but also has the ability to build a better relationship with the person they contact and elicit lively behavior. For example, the "supporter" provides support to encourage changes in the psychological characteristics of elderly people so as to lead them to a state of well-being.

[0017] "Training on Support" means training to become a "supporter", and may include classroom learning and / or training using online materials, role-playing training, etc. "Trainees (attendees)" who receive such training are included in the "supporters" in a broad sense. Supporters who have completed the "training" are also referred to as "First Supporters", and supporters during the training (attending the course) are also referred to as "Second Supporters", and when these are not particularly distinguished, they are simply referred to as "supporters". A "certification qualification" (hereinafter also simply referred to as "qualification") to prove completion of the training may be granted to the "First Supporters".

[0018] (1.1) Configuration example of an information processing system First, a configuration example of the information processing system according to this embodiment will be described. FIG. 1 is a diagram showing the configuration of the information processing system 1 according to this 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 terminal device 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 can communicate with each terminal device 200 via the network 5.

[0020] The server device 100 is an information processing device that executes the information processing according to this embodiment. The server device 100 has a communication interface with the 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). That is, the server device 100 may be composed of one computer or may be composed of a plurality of computers.

[0021] In this embodiment, the server device 100 provides services for elderly support and training, particularly training services for training support providers. Furthermore, in this embodiment, the server device 100 provides 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, tablet device, notebook PC, or wearable device. The terminal device 200 may also 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 this embodiment installed, or a general-purpose browser may be used for the service according to this embodiment.

[0023] Each terminal device 200 has a user interface and a communication interface with the network 5. The user interface includes display means (display), input means (operation input means, microphone, and / or camera, etc.), and output means (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] Terminal device 200a is terminal device 200 used by the first supporter. Terminal device 200a receives operation input from the first supporter and presents information to the first supporter. "Presentation of information" mainly means displaying information on a display, but may also include audio output of information via a speaker. The first supporter is a supporter who has completed training. The first supporter may also be a person who is qualified to be a supporter. The first supporter provides (practices) dialogue-based support to the elderly.

[0025] In this embodiment, the information processing system 1 may have one or more sensors 300 for acquiring support record information regarding the content of support provided by the first supporter. The support record information, including the content and results of the support provided through dialogue by the first supporter, will be used later for training and other purposes. The sensor 300 includes at least one of the following: a voice sensor (microphone) for detecting voice in the dialogue, a video sensor (camera) for capturing images of the dialogue, including the elderly person, and a vital sensor for detecting the elderly person's biological information during 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 to communicate via the network 5, and the output of the sensor 300 may be transmitted to the server device 100 without going through the terminal device 200a.

[0026] Alternatively, the first support worker may input at least a portion of the support record information regarding the content of the support provided into the terminal device 200a, and the support record information input by the first support worker may be transmitted from the terminal device 200a to the server device 100. However, manually inputting the information would be burdensome for the first support worker. By acquiring the support record information using the sensor 300, the burden on the first support worker can be reduced.

[0027] Terminal device 200b is terminal device 200 used by the second supporter. 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 (attending training). The second supporter may not yet be a person who has obtained supporter qualifications. Under the control of server device 100, terminal device 200b presents training information to the second supporter. The training information is based on support record information regarding the support provided by the first supporter. In other words, by the server device 100 feeding back information regarding the support provided by the first supporter to the second supporter, effective and efficient training is realized.

[0028] Terminal device 200c is a terminal device 200 used by viewers to search for and view information related to support for the elderly. Terminal device 200c receives operation input from viewers and presents information to viewers. Viewers access server device 100 using terminal device 200c. In this embodiment, terminal device 200c sends a search request to server device 100, receives viewing information corresponding to the search request from server device 100, and presents the viewing information to the viewer.

[0029] In this embodiment, the viewer is a third party distinct from both the elderly person being supported and the supporters (first supporter, second supporter). The viewer may have an account for a service that searches for and views information related to elderly support, and may be able to use the service by paying a service fee. Based on the information viewed, the viewer may plan and develop products and services for seniors, and conduct research and marketing activities for seniors.

[0030] However, viewers may include administrators who monitor and manage the support provided by the first supporter. Viewers may also include instructors who provide training and education to the second supporter.

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

[0032] (1.2.1) Examples of actions related to training for support staff development Figure 2 is a diagram illustrating the operation of training for support staff development according to this embodiment.

[0033] In step S1, the first supporter provides (implements) dialogue-based support to the elderly person. For example, the first supporter engages in dialogue on one or more categories of interests. The first supporter may provide support to the same elderly person multiple times (for example, regular support). For each instance of support provided, the information processing system 1 manages information about the elderly person receiving support and information about the supporter who provided the support. The elderly person's information includes the elderly person's ID and information about the elderly person's attributes. The supporter's information includes the supporter's ID and information about the supporter's attributes. This information is registered in the information processing system 1 by manual input, but at least some of the information may be automatically registered by the information processing system 1 after it has made a determination.

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

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

[0036] Information processing system 1 may derive correspondence information that associates support record information with support analysis information. Correspondence information may include a learned model (trained model) obtained by machine learning that learns about support record information and support analysis information. The learned 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 learned model may be a linear regression model that models linear relationships between data to make predictions and classifications, a decision tree model that classifies data into a tree-like structure to make predictions and classifications, or a neural network model that mimics the neural circuits of the human brain to learn complex patterns and make predictions, classifications, and generations.

[0037] Alternatively, the correspondence information may be a table that associates support record information with support analysis information. For example, the correspondence information may be a table that associates summary data, which is a summary of the text data contained in the support record information, with support analysis information (e.g., information on improvement of psychological characteristics).

[0038] The information processing system 1 may derive correspondence information that further associates information on the elderly person's attributes with the support record information and support analysis information. The elderly person's attributes include at least one of the following: the elderly person's psychological characteristics, the elderly person's environmental characteristics, the elderly person's level of interest (level of interest) or skill level (level of skill) by interest category, and the elderly person's physical characteristics. Here, the elderly person's psychological characteristics are at least one of the following: the elderly person's self-esteem, the elderly person's level of curiosity, the elderly person's problem-solving ability, and the elderly person's interpersonal attitude. The elderly person's environmental characteristics are the characteristics of their living environment (area of ​​residence, address) and social environment (status, occupation, etc.). The elderly person's physical characteristics are gender, age, etc.

[0039] The information processing system 1 may derive correspondence information by further associating the information on interest categories handled in the dialogue with the support record information and the support analysis information.

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

[0041] Information processing system 1 may output recommended support information as training information, which shows recommended support content for each elderly person's attributes based on the correspondence information. For example, when information processing system 1 receives a search request that includes information indicating the target attribute, which is the attribute to be searched, it may output recommended support information as training information, which shows recommended support content for elderly people belonging to the target attribute. The recommended support information includes at least one of the following: a recommended support pattern, a recommended interest category, a recommended supporter's speech content, and a recommended supporter's attribute. A support pattern is the supporter's mindset (type of support approach) in support (dialogue), such as "making proactive suggestions (problem solving)," "emphasizing active listening," or "praising the other person."

[0042] Each elderly person has different attributes (including psychological characteristics), and the optimal support content varies depending on the elderly person's attributes. Therefore, by outputting recommended support information as training information, which shows the recommended support content for each attribute, the second support provider can understand (acquire) the optimal support content for each elderly person's attributes based on the training information.

[0043] For example, the attributes of elderly people can be classified into three categories: A) "Positive Next-Generation Seniors," B) "Curious Negative Seniors," and C) "Active and Problem-Solving Seniors." In this case, for A) "Positive Next-Generation Seniors," Information Processing System 1 can output recommended support information as training information, such as "They are more receptive to non-digital suggestions such as going out," as an interest category. For B) "Curious Negative Seniors," Information Processing System 1 can output recommended support information as training information, such as "They have a strong negative outlook, so it's important to praise them." For C) "Active and Problem-Solving Seniors," Information Processing System 1 can output recommended support information as training information, such as "They have a need for problem-solving, so it's important to overwhelmingly solve problems, then make proactive suggestions to gain their trust, and then make suggestions other than digital."

[0044] Alternatively, Information Processing System 1 can output recommended support information as training information, such as, "For people with this level of digital proficiency, this lecture would be beneficial." Information Processing System 1 can also output recommended support information as training information, such as, "For men living in this area with this income level and values ​​like XX, these non-digital suggestions can be made."

[0045] The information processing system 1 may output recommended support information as training information, which shows recommended support content by interest category based on the correspondence information. For example, when the information processing system 1 receives a search request that includes information indicating the target interest category, which is the interest category to be searched, it may output recommended support information as training information, which shows recommended support content for the target interest category.

[0046] The optimal support content differs depending on the interest category addressed in the dialogue. Therefore, by outputting recommended support information as training information, which shows the recommended support content for each interest category, the second support provider can understand (acquire) the optimal support content for each interest category of the elderly person based on the training information.

[0047] In step S5, the second support worker receives training based on training information. For example, the second support worker learns about elderly care using training information presented on terminal device 200b. The training is conducted according to a prescribed curriculum and may include lectures and / or online training materials, role-playing exercises, etc. Information processing system 1 manages information on the progress and achievement status of such training.

[0048] In step S6, upon completion of the training, the second supporter is granted qualifications and becomes a new first supporter. In other words, the second supporter is trained to become a new first supporter. Information processing system 1 manages information on the completion of the second supporter's training and information on the granting of qualifications to the second supporter.

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

[0050] Upon completion of this training, the second supporter becomes a new first supporter (Step S6), and the new first supporter then begins providing support to the elderly (Step S1). In other words, by repeating the cycle from Step S1 to Step S6, the number of first supporters increases, and the number of people capable of providing appropriate support to the elderly is expanded.

[0051] As a result, the number of elderly people in a state of well-being will increase, contributing to the resolution of social issues in a super-aging society. In addition, supporters who complete the training will gain a deeper understanding of the senior population and acquire the skills to build trusting relationships with them in the medium to long term, thereby improving the satisfaction of senior clients.

[0052] (1.2.2) Examples of actions related to information retrieval and viewing by viewers Figure 3 is a diagram illustrating an example of information retrieval and viewing operations by a viewer according to this embodiment.

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

[0054] As shown in Figure 3, the information processing system 1 acquires support record information regarding the content of the support provided by the supporter (step S2) and stores it (step S3). The information processing system 1 derives support analysis information regarding 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 receives a search request from a viewer (third party) to search for information about elderly people, and outputs viewing information corresponding to the search request based on the support analysis information. The viewing information is similar to the training information described above.

[0056] Specifically, the information processing system 1 outputs viewing information based on support analysis information (or correspondence information). The information processing system 1 may also present the viewing information on the viewer's terminal device 200c. However, the information processing system 1 is not limited to such electromagnetic output methods; for example, it may use a printer to output (print) the viewing information onto paper media provided to the viewer. Other operations are the same as the operation examples related to training described above. However, the information processing system 1 shall not include personally identifiable information such as elderly person IDs or supporter IDs in the viewing information.

[0057] In this way, the information processing system 1 acquires support record information regarding the content of the support provided by the supporter (step S1) (step S2), and outputs viewing information based on the support analysis information in response to the search request (step S11). As a result, information regarding the support provided by the supporter is made available for viewing by viewers (third parties) through the information processing system 1. Consequently, viewers (third parties) can efficiently and smoothly carry out planning and development of products and services for seniors, as well as research and marketing activities for seniors.

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

[0059] As shown in Figure 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 interconnected 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 devices 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 is configured to include various types of memory, such as ROM (Read Only Memory), RAM (Random Access Memory), and auxiliary storage devices. The program executed by the information processing unit 130 is stored, for example, in the ROM and / or auxiliary storage devices of the information storage unit 120. The information processing unit 130 is configured to include one or more processors.

[0061] The information processing unit 130 implements the following functions by executing a program (software) stored in the information storage unit 120: an information management unit 131 that acquires and stores support record information regarding the content of support provided by a supporter; an information derivation unit 132 that derives support analysis information regarding the support effect 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 regarding the content of support provided by a first supporter who has completed training. 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 includes an elderly information acquisition unit 131a that acquires elderly information, a supporter information acquisition unit 131b that acquires supporter information, and a support record information acquisition unit 131c that acquires support record information. The information derivation unit 132 includes an analysis unit 132a that analyzes support record information to derive support analysis information, and a generation unit 132b that generates correspondence information that associates support record information and support analysis information. The information output unit 133 includes an extraction unit 133a that receives a search request and extracts information (training information, viewing information) corresponding to the search request based on the correspondence 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 being supported. The elderly person being supported may be an elderly person who has an account for elderly support services and can use the services by paying a service fee. In the example in Figure 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 classified as A "Positive Next Generation Senior", B "Curious Negative Senior", C "Active Problem-Solving Senior"), 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-esteem, the elderly person's level of curiosity, the elderly person's problem-solving ability, and the elderly person's interpersonal attitude (for example, arrogant or gentle).

[0065] The supporter information storage unit 122 stores supporter information for each supporter. Supporters include the first supporter and the second supporter. In the example in Figure 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 undergoing training or has completed training (i.e., whether they are qualified), rank information indicating the supporter's skill level (rank), environmental characteristics information, and physical characteristics information. For supporters undergoing training, the training status information may also include information on the progress (achievement status) of the training.

[0066] The support record information acquisition unit 131c acquires, based on the output of the sensor 300, voice data from the support (dialogue), text data obtained by converting the voice data into text, imaging data from the dialogue, and vital data of the elderly person as support record information. The support record information acquisition unit 131c may also acquire support record information that includes information manually entered by the first supporter.

[0067] The support record information storage unit 123 stores support record information for each support provided. In the example shown in Figure 5(c), the support record information includes a support ID, an elderly person ID, a caregiver ID, information on the support pattern of the support, information on the interest categories handled in the support, audio data, text data, imaging data, and vital data. The text data may be summary data obtained by converting the audio data into text and summarizing its content. The summary data can be created, for example, using known speech / text summarization technology (e.g., text summarization AI). The summary data may also be text data that summarizes the content for each topic in the dialogue.

[0068] The analysis unit 132a of the information extraction 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 the improvement of at least one psychological characteristic among the elderly person's self-esteem, level of curiosity, problem-solving ability, and interpersonal attitude as the support effect. For such analysis, known emotion analysis technology (e.g., emotion recognition AI) can be used. At least a part of such analysis may be performed by the first supporter or manager.

[0069] For example, the analysis unit 132a may derive support analysis information indicating the support effect by performing at least one of the following based on the audio data or text data: audio emotion analysis, frequent word analysis, characteristic word analysis, and positive / negative word analysis. Audio emotion analysis makes it possible to analyze the emotions of the elderly, frequent word analysis and characteristic word analysis make it possible to analyze the degree of curiosity, and positive / negative word analysis makes it possible to analyze self-esteem. Audio emotion analysis involves performing frequency analysis and / or spectral analysis on the audio, or analyzing pitch, jitter, volume, voice quality, speech speed, prosody, etc., making it possible to analyze emotions. Positive / negative word analysis involves analyzing positive words and / or negative words. For example, negative words include "I don't have much time left" and "I feel like I'm close to dying alone," while positive words include "I'm not scared if you're there," "I want to try something I'm interested in," and "I've always wanted to study abroad."

[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 imaging data and vital data. It is possible to analyze the emotions of elderly people by analyzing their facial expressions using imaging data and analyzing their emotions using vital data.

[0071] Figure 6 shows an example of analysis performed by the analysis unit 132a according to this embodiment. In the illustrated example, the psychological characteristics of elderly people are classified into four categories based on whether their self-esteem is positive or negative, and whether their degree of curiosity (and problem-solving ability) is positive or negative. Elderly people who are positive in both self-esteem and degree of curiosity (and problem-solving ability) are classified as A, "Positive Next Generation Seniors". Among A, "Positive Next Generation Seniors", elderly people with high levels of both self-esteem and degree of curiosity (and problem-solving ability) may be classified as "S". Elderly people who are negative in self-esteem and have a positive degree of curiosity (and problem-solving ability) are classified as B, "Curious Negative Seniors". Elderly people who are positive in self-esteem and have a negative degree of curiosity (and problem-solving ability) are classified as C, "Active Problem-Solving Seniors". Elderly people who are negative in both self-esteem and degree of curiosity (and problem-solving ability) are classified as D, "Others".

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

[0073] The generation unit 132b of the information extraction unit 132 generates correspondence information that associates support record information with support analysis information. The generation unit 132b may further associate information of the elderly person's attributes with the support record information and support analysis information. The generation unit 132b may further derive correspondence information that associates information of interest categories handled in the dialogue.

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

[0075] For example, based on matching information, it is possible to identify what kind of support and / or what kind of support provider is effective in improving the psychological characteristics of elderly people with certain attributes. Alternatively, based on matching information, it is possible to identify what kind of support (including interest categories) is effective for elderly people with certain attributes.

[0076] In the example in Figure 5(d), 1) elderly person attribute information, 2) caregiver attribute information, 3) support record information (information on the content of support), and 4) support analysis information (information on the improvement of the elderly person's psychological characteristics) are associated using a table. However, the correlation between this information, that is, the correlation between the elderly person's attributes, the caregiver's attributes, the content of support, and the improvement of the elderly person's psychological characteristics, can be learned using machine learning, and the associated information can be constructed using a trained model. This makes it possible to predict unknown information that has not yet been collected based on known information (the trained model).

[0077] The information output unit 133 outputs training information (or viewing information) based on the correspondence information. The information output unit 133 may also output recommended support information, which shows recommended support content by attribute of the elderly person, as training information (and / or viewing information) based on the correspondence information. The information output unit 133 may also output recommended support information, which shows recommended support content by interest category, as training information (and / or viewing information) based on the correspondence information. The recommended support information includes, for example, at least one of the following: recommended support pattern, recommended interest category, recommended supporter's speech content, and recommended supporter's attribute.

[0078] When the extraction unit 133a of the information output unit 133 receives a search request from a second supporter that includes information indicating the target attribute to be searched, it may extract (obtain) recommended support information from the association information storage unit 124 that indicates the support content recommended for elderly persons belonging to the target attribute. When the extraction unit 133a receives a search request from a second supporter that includes information indicating the target interest category to be searched, it may extract (obtain) recommended support information from the association information storage unit 124 that indicates the support content recommended for the target interest category. 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 from a viewer (third party) that includes information indicating the target attribute to be searched, it may extract (obtain) recommended support information from the associated information storage unit 124 that indicates the support content recommended for elderly people belonging to the target attribute. When the extraction unit 133a receives a search request from a viewer that includes information indicating the target interest category to be searched, it may extract (obtain) recommended support information from the associated information storage unit 124 that indicates the support content recommended for the target interest category. 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 information for viewing.

[0080] (3) Example of change 1 Next, we will describe a modification example 1 of the above-described embodiment. Figure 7 is a diagram showing the configuration of the server device 100 according to this modification example. Figure 8 is a diagram illustrating the operation of the server device 100 according to this modification example.

[0081] As shown in Figure 7, the information processing unit 130 of the server device 100 in this modified example further includes a matching unit 134. Based on the attributes of the elderly person to be supported (particularly psychological characteristics), the unit identifies the required skill level (rank) of the supporter for those attributes and assigns a supporter with the identified skill level (rank) to 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 Figure 8, there are four skill levels (ranks) for supporters, for example, Bronze, Silver, Gold, and Platinum. Supporters with higher ranks may receive higher hourly compensation. Supporters start at Bronze and move up one rank at a time as their skills improve. Rank advancement may be determined by a test on behavioral guidelines.

[0083] In the example shown in Figure 8, the matching unit 134 assigns a Bronze-ranked supporter to elderly individuals classified as A, "Positive Next-Generation Seniors," who have positive levels of self-esteem and curiosity (and problem-solving ability). The matching unit 134 also assigns a Silver-ranked or higher supporter to elderly individuals classified as B, "Curious Negative Seniors," who have negative self-esteem and positive levels of curiosity (and problem-solving ability). Furthermore, the matching unit 134 assigns a Gold-ranked or higher supporter to elderly individuals classified as C, "Active Problem-Solving Seniors," who have positive self-esteem and negative levels of curiosity (and problem-solving ability).

[0084] The matching unit 134 may also take into further consideration the residential area (address) of both the elderly person receiving support and the supporter. The matching unit 134 may also prioritize assigning supporters whose addresses are geographically close to the elderly person's address.

[0085] The matching unit 134 may further consider the interest categories of both the elderly person to be supported and the supporter. The matching unit 134 may also prioritize assigning supporters who share the same interest categories as the elderly person to that elderly person.

[0086] If the matching unit 134 determines that it is necessary to replace a support worker with another support worker, it may select and assign another support worker who shares many attributes in common with the support worker who needs to be replaced.

[0087] (4) Example of change 2 In the above embodiment, an example of training to develop a second supporter into a new first supporter was described (see Figure 2). However, as shown in the modified example in Figure 9, training for skill improvement or evaluation of the first supporter (for example, on-the-job training) may also be conducted.

[0088] The operation shown in Figure 9 will be explained primarily in terms of its differences from the operation according to the above embodiment (the operation shown in Figure 2).

[0089] As shown in Figure 9, the operation of steps S1 to S3 is the same as the operation according to the embodiment described above.

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

[0091] In this modified example, the information extraction unit 132 (analysis unit 132a) of the server device 100 may derive evaluation information, which shows the evaluation results of the support provider's evaluation of the support content, as support analysis information based on the support record information. The information output unit 133 (presentation unit 133b) of the server device 100 may then output this evaluation information as training information.

[0092] Such evaluation information may include whether or not the psychological characteristics of the elderly person have improved, or it may include information on how and to what extent their physical characteristics have improved. This makes it possible to evaluate the support provided by the first caregiver and to provide feedback to the first caregiver in order to determine the content of the next support.

[0093] Such evaluation information may also indicate skill levels (ranks) determined according to the improvement in the psychological characteristics of the elderly. This makes it possible to objectively and fairly evaluate the skill level (rank) of the first supporter.

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

[0095] The operation flow and operation examples in the above-described embodiments do not necessarily have to be executed chronologically in the order shown in the flowchart. For example, the steps in the operation may be executed in a different order than that shown in the flowchart, or they may be executed in parallel. Also, some of the steps in the operation may be deleted, or further steps may be added to the process.

[0096] A program may be provided that causes a computer (information processing device) to perform the operations according to the above embodiment. The program may be recorded on a computer-readable medium. Using a computer-readable medium, it is possible to install the program on 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, but may be a storage medium such as a CD-ROM or DVD-ROM.

[0097] The functions realized by the information processing system 1 may be implemented in a circuit or processing circuitry, including a general-purpose processor, an application-specific processor, an integrated circuit, an ASIC (Application Specific Integrated Circuit), a CPU (a Central Processing Unit), conventional circuits, and / or a combination thereof, which are programmed to realize the described functions. A processor, including transistors and other circuits, is considered a circuit or processing circuitry. A processor may be a programmed processor that executes a program stored in memory. In this specification, a circuit, a unit, or a means is hardware programmed to realize or execute the described functions. Such hardware may be any hardware disclosed herein, or any hardware known to be programmed to realize or execute the described functions. If such hardware is a processor which is considered a type of circuit, then such circuit, a means, or a unit is a combination of hardware and software used to constitute such hardware and / or processor.

[0098] As used herein, the terms “based on” and “according to” do not mean “based solely on” or “according solely to” unless otherwise specified. “Based on” means both “based solely on” and “based at least partially on.” Similarly, “according to” means both “based solely on” and “according at least partially to.” Furthermore, the terms “include,” “comprise,” and their variations do not mean to include only the listed items, but may include only the listed items, or may include additional items in addition to the listed items. Also, the term “or” as used herein is not intended to mean exclusive OR. Where articles are added by translation, such as a, an, and the in English, these articles are considered plural unless the context clearly indicates otherwise.

[0099] Although the embodiments have been described in detail above with reference to the drawings, the specific configuration is not limited to those described above, and various design changes can be made without departing from the gist 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 Memory Unit 122: Supporter information storage unit 123: Support Record Information Storage Unit 124: Correspondence Information Storage Unit 130: Information Processing Department 131: Information Management Department 131a: Department for Acquiring Information on the Elderly 131b: Supporter information acquisition department 131c: Support Record Information Acquisition Unit 132: Information derivation section 132a: Analysis section 132b: Generation part 133: Information output unit 133a:Extraction part 133b: Presentation part 134: Matching Department 200: Terminal device 300: Sensor

Claims

1. An information processing system for searching and viewing information on dialogue-based support for the elderly, An information management unit that acquires and stores support record information regarding the content of support provided by the supporter when the supporter provides the aforementioned support, An information derivation unit that derives support analysis information regarding the support effect of the aforementioned support based on the support record information, The system includes an output unit that, upon receiving a search request from a viewer to search for information about the elderly, outputs viewing information corresponding to the search request based on the support analysis information. Information processing system.

2. The information management unit acquires at least one of the following as support record information based on the output of one or more sensors: voice data from the dialogue, text data obtained by transcribing the voice data, imaging data from the dialogue, and vital data of the elderly person. 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 the following based on the voice data or the text data: voice sentiment analysis, frequent word analysis, characteristic word analysis, and positive / negative word analysis. The information processing system according to claim 2.

4. The information derivation unit derives the 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. The information processing system according to claim 2.

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

6. The information extraction unit extracts correspondence information that associates the support record information with the support analysis information. The information output unit outputs the viewing information based on the correspondence information. The information processing system according to claim 1.

7. The information management unit derives the correspondence information by further associating the information of the elderly person's attributes with the support record information and the support analysis information. The information output unit outputs recommended support information, which shows the recommended support content for each attribute, based on the correspondence information, as the information for viewing. The information processing system according to claim 6.

8. The aforementioned recommended support information includes at least one of the following: recommended support patterns, recommended interest categories, recommended speech content for older adults, and recommended supporter attributes. The information processing system according to claim 7.

9. When the information output unit receives a search request that includes information indicating the target attribute to be searched, it outputs the recommended support information, which indicates the support content recommended for elderly people belonging to the target attribute, as the information for viewing. The information processing system according to claim 7.

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

11. The information derivation unit derives the correspondence information by further associating the information of interest categories handled in the dialogue with the support record information and the support analysis information. The information output unit outputs recommended support information, which shows recommended support content by interest category based on the correspondence information, as the information for viewing. The information processing system according to claim 6.

12. The aforementioned recommended support information includes at least one of the following: recommended support patterns, recommended speech content for the elderly, and recommended attributes of support providers. The information processing system according to claim 11.

13. When the information output unit receives a search request that includes information indicating the target interest category, which is the interest category to be searched, it outputs the recommended support information, which indicates the recommended support content for the target interest category, as the information for viewing. The information processing system according to claim 11.

14. The aforementioned correspondence information includes a trained model obtained by machine learning that learns from the aforementioned support record information and the aforementioned support analysis information. The information processing system according to any one of claims 6 to 13.

15. An information processing method performed by an information processing system for searching and viewing information on dialogue-based support for the elderly, An information management step in which the supporter acquires and stores support record information regarding the content of the support provided when the supporter carried out the aforementioned support, An information derivation step of deriving support analysis information regarding the support effect of the aforementioned support based on the support record information, The system includes an output step in which, upon receiving a search request from a viewer to search for information about the elderly, the system outputs viewing information corresponding to the search request based on the support analysis information. Information processing methods.

16. In an information processing system for searching and viewing information on dialogue-based support for the elderly, An information management step in which the supporter acquires and stores support record information regarding the content of the support provided when the supporter carried out the aforementioned support, An information derivation step of deriving support analysis information regarding the support effect of the aforementioned support based on the support record information, In response to receiving a search request from a viewer to search for information about the elderly, the system executes an output step that outputs viewing information corresponding to the search request based on the support analysis information. program.

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