WO2019234883A1 - Information providing device, information providing system, and computer program - Google Patents

Information providing device, information providing system, and computer program Download PDF

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Publication number
WO2019234883A1
WO2019234883A1 PCT/JP2018/021878 JP2018021878W WO2019234883A1 WO 2019234883 A1 WO2019234883 A1 WO 2019234883A1 JP 2018021878 W JP2018021878 W JP 2018021878W WO 2019234883 A1 WO2019234883 A1 WO 2019234883A1
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WO
WIPO (PCT)
Prior art keywords
information
child
childcare
specific user
occurrence
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PCT/JP2018/021878
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French (fr)
Japanese (ja)
Inventor
伴之 服部
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株式会社ファーストアセント
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Priority to PCT/JP2018/021878 priority Critical patent/WO2019234883A1/en
Publication of WO2019234883A1 publication Critical patent/WO2019234883A1/en

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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients

Definitions

  • the present invention relates to an information providing apparatus, an information providing system, and a computer program.
  • Patent Document 1 A psychiatric medical assistance system for determining the possibility that a subject falls into depression has been disclosed (see Patent Document 1).
  • Patent Document 1 If the technology disclosed in Patent Document 1 is applied to a child caregiver, the possibility that the caregiver suffers from postpartum depression can be determined.
  • Patent Document 1 In order for the technology disclosed in Patent Document 1 to be applied to a caregiver, it is necessary for the caregiver himself to be aware of the childcare burden that can induce postpartum depression. Therefore, there is a problem that the technique disclosed in Patent Document 1 is not applied to a caregiver who is not aware of the level of the childcare burden.
  • the information providing apparatus includes at least the child-care record information of a specific user among the child-care record information including information indicating child-care records when a plurality of users raise children.
  • the information acquisition processing unit to be acquired, the childcare record information of the specific user, and comparison information based on the childcare record information of at least some of the plurality of users A detection processing unit that detects a childcare burden generated by the user, and an information generation processing unit that generates guidance information to be provided to the specific user according to the childcare record information and the childcare burden of the specific user. .
  • the child-care record information includes state information relating to the state of the child and time information relating to the occurrence time of the state, and the detection process.
  • the part detects the childcare burden by comparing the state information and the time information of the specific user with the comparison information based on the state information and the time information of the at least some users. Is preferred.
  • the detection processing unit includes the state information and time information of the specific user, and the state information of the at least some users.
  • the history information is acquired, and the at least one type of history information corresponding to the specific user is compared with the comparison information that is the at least one type of history information corresponding to the at least some users. preferable.
  • the occurrence probability of the state is an occurrence probability of the night crying of the child within a predetermined period
  • the occurrence frequency distribution of the state Is a frequency distribution of the occurrence time of the sleep state of the child lasting the longest in a predetermined period
  • the occurrence interval of the state is preferably the breast feeding interval of the child in the predetermined period.
  • the information generation processing unit includes the childcare record information and the childcare burden of the specific user, and the occurrence probability.
  • the guidance information is generated according to each of the occurrence frequency distribution and the occurrence interval.
  • the guidance information includes information on a question about the health condition of the specific user
  • the information acquisition processing unit further acquires information on an answer to the question of the specific user
  • the detection processing unit further detects the health condition based on the answer
  • the information generation processing unit includes the detection process. It is preferable that notification information regarding the health condition for the specific user is further generated according to the detection result of the health condition by the unit.
  • the information providing system includes any one of the information providing apparatus from the first aspect to the sixth aspect, and the child-care record information of the specific user is the screen input information, voice An input device that is input as at least one of input information, an image, temperature information, and biological information, and an output device that outputs the guidance information to the specific user through a screen or sound.
  • the childcare record information of the plurality of users is acquired, and the comparison information based on the childcare record information of the at least some users It is preferable to further include an information processing apparatus that generates
  • the computer program obtains childcare record information including information indicating childcare records when each of a plurality of users raises a child; By comparing the childcare record information of a specific user among the plurality of users with the childcare record information of at least some of the plurality of users, the childcare burden caused to the specific user is reduced.
  • a detection processing function to detect and an information generation processing function to generate guidance information to be provided to the specific user according to the childcare record information and the childcare burden of the specific user are provided for causing the computer to realize .
  • the computer program according to the ninth aspect includes state information relating to the state of the child and time information relating to the occurrence time of the state, wherein the detection processing function is the specific user. It is preferable to include detecting the childcare burden by comparing the status information and the time information of the user with the status information and the time information of the at least some users.
  • the detection processing function includes the state information and time information of the specific user, the state information of the at least some users, and As a comparison with the time information, acquiring at least one type of history information among the occurrence probability, occurrence frequency distribution, and occurrence interval of the state based on the state information and the time information;
  • the method includes comparing the corresponding at least one type of history information with the at least one type of history information corresponding to the at least some users.
  • the occurrence probability of the state is an occurrence probability of the child's night crying within a predetermined period
  • the occurrence frequency distribution of the state is The frequency distribution of the start time of the longest sleeping time of the child within a predetermined period, wherein the occurrence interval of the state is preferably the breast feeding interval of the child within the predetermined period.
  • the information generation processing function includes the childcare record information and the childcare burden of the specific user, the occurrence probability
  • the method includes generating the guidance information according to each of the occurrence frequency distribution and the occurrence interval.
  • the guidance information includes information on a question about the health condition of the specific user
  • the acquisition processing function includes further acquiring information on an answer to the question of the specific user
  • the detection processing function further includes detecting the health condition based on the answer
  • the information generation processing function Preferably, the method further includes generating notification information related to the health condition for the specific user according to a detection result of the health condition by the detection processing function.
  • the caregiver himself / herself can be aware of the degree of childcare burden, and when the childcare burden is large, the effect of being able to suspect postpartum depression is obtained.
  • FIG. 1 is a diagram showing an information providing system including an information providing server and an information input / output terminal according to an embodiment of the present invention.
  • FIG. 2 is a diagram illustrating childcare record information acquired by the processor of the information providing server.
  • FIG. 3 is a diagram illustrating the probability of occurrence of a child's night crying within a predetermined postnatal period.
  • FIG. 4 is a diagram illustrating the frequency distribution of the occurrence time of the sleep state of the child lasting the longest in a predetermined postnatal period.
  • FIG. 5 is a diagram illustrating a breast feeding interval to a child within a predetermined postnatal period.
  • FIG. 6 is a diagram exemplifying guidance information output processing performed in accordance with the detection result of the childcare burden caused to the user.
  • FIG. 1 is a diagram showing an information providing system including an information providing server and an information input / output terminal according to an embodiment of the present invention.
  • FIG. 2 is a diagram illustrating childcare record information acquired by the processor of the information providing server.
  • FIG. 7 is a diagram illustrating guidance information output.
  • FIG. 8 is a diagram illustrating guidance information output.
  • FIG. 9 is a diagram illustrating guidance information output.
  • FIG. 10 is a diagram exemplifying guidance information regarding a health condition for a specific user and notification information output regarding the health condition for the user based on an answer to the question.
  • FIG. 11 is a diagram illustrating processing contents executed by a computer program running on the information providing server.
  • FIG. 12 is a diagram illustrating a product supply aspect of a computer program that runs on an information input / output terminal and / or an information providing server.
  • FIG. 13 is a diagram illustrating an information providing system according to the fifth modification.
  • An information providing system 1 including an information providing server 20 and an information input / output terminal 10 according to an embodiment of the present invention will be described with reference to FIGS.
  • FIG. 1 is a diagram showing an information providing system 1.
  • the information providing system 1 includes an information providing server 20 and an information input / output terminal 10, and the information providing server 20 and the information input / output terminal 10 are connected to each other via a communication network 30.
  • the information input / output terminal 10 is, for example, a personal computer 10a, a mobile terminal 10b such as a mobile phone or a tablet computer, and / or a smart speaker 10c, and may be a dedicated terminal or a general-purpose terminal.
  • the information input / output terminal 10 includes a processor 11, a memory 12, an input device 13, an output device 14, and a communication module 15.
  • the processor 11 controls the operations of the input device 13, the output device 14, and the communication module 15 by starting a computer program stored in the memory 12.
  • the input device 13 is, for example, a mouse, a keyboard, a touch panel, and / or a microphone, and has a screen input function and / or a voice input function.
  • the screen input information and / or the voice input information is input to the input device 13 as childcare record information described later.
  • the output device 14 is, for example, a display, a touch panel, and / or a speaker, and has a screen output function and / or an audio output function.
  • the communication module 15 has a wireless communication function or a wired communication function for connecting the information input / output terminal 10 and the information providing server 20 to each other via the communication network 30.
  • the information providing server 20 includes a processor 21, a memory 22, a communication module 23, and a storage device 24.
  • the processor 21 activates a computer program stored in the memory 22 to control the operation of the communication module 23, the writing of information to the storage device 24, and the reading of information from the storage device 24, and will be described later. It functions as an information acquisition processing unit 211, a detection processing unit 212, and an information generation processing unit 213.
  • the communication module 23 has a wireless communication function or a wired communication function for connecting the information providing server 20 and the information input / output terminal 10 to each other via the communication network 30.
  • the processor 21 writes acquired user childcare record information, which will be described later, into the storage device 24, and reads out the written user childcare record information from the storage device 24.
  • the information providing system 1 including the information providing server 20 and the information input / output terminal 10, a user who is a child care worker inputs childcare record information to be described later via the input device 13 of the information input / output terminal 10.
  • the input childcare record information is acquired by the processor 11 of the information input / output terminal 10 and then communicated via the communication module 15 of the information input / output terminal 10, the communication network 30, and the communication module 23 of the information providing server 20.
  • the processor 21 of the information providing server 20 writes the child-care record information of a specific user acquired from the information input / output terminal 10 to the storage device 24, and among the child-care record information of a plurality of users already written in the storage device 24.
  • the childcare record information of some or all users is read from the storage device 24.
  • the processor 21 of the information providing server 20 compares the child-care record information of a specific user acquired from the information input / output terminal 10 with the child-care record information of some or all users read from the storage device 24.
  • the childcare burden caused to the specific user is detected by comparing the business information (described later).
  • the processor 21 of the information providing server 20 determines the specific user's childcare record information acquired from the information input / output terminal 10 and the specific childcare burden detected by the specific user. Guidance information to be provided to the user is generated.
  • the guidance information generated by the processor 21 of the information providing server 20 is transmitted to the information input / output terminal via communication via the communication module 23 of the information providing server 20, the communication network 30, and the communication module 15 of the information input / output terminal 10.
  • the processor 11 of the information input / output terminal 10 controls the output device 14 to cause the output device 14 to output the obtained guidance information.
  • the specific user who has input the child-care record information through the input device 13 of the information input / output terminal 10 can obtain the guidance information output to the output device 14.
  • FIG. 2 is a diagram illustrating a part of childcare record information 50 of a specific user acquired from the information input / output terminal 10 by the processor 21 of the information providing server 20.
  • the child-care record information 50 includes, for example, information indicating the occurrence of a state in which the child is crying at night, information indicating the occurrence of a state in which the child is sleeping, Contains information representing the occurrence of a lactating condition.
  • the child-care record information 50 further includes information on the start time and end time of occurrence of these various states. Based on the childcare record information 50, information on the occurrence time of the child's night crying, information on the occurrence time of the longest lasting sleep state of the child, and information on the occurrence interval of breast feeding to the child can be acquired.
  • the specific user is referred to as user X.
  • one day from April 1st, 08:00 to April 2nd, 08:00 is defined as a predetermined period. Is managed.
  • the daily childcare record information includes state information relating to the state of the child managed in the B column of the childcare record information 50 shown in FIG. 2, and the child state managed in the C column and the D column and managed in the B column. And time information related to the time when the error occurred.
  • state information relating to the state of the child managed in the B column of the childcare record information 50 shown in FIG. 2, and the child state managed in the C column and the D column and managed in the B column.
  • time information related to the time when the error occurred.
  • the occurrence probability of the state where the child is crying at night within the predetermined period the occurrence of the state where the child is sleeping most long in the predetermined period
  • Three types of history information such as the time frequency distribution and the occurrence interval of the state in which the child is breastfeeding within a predetermined period, can be acquired.
  • the start time of the night crying that is, the occurrence time of the night crying is managed
  • the D column of the same row contains The end time of night crying is managed.
  • the user X who raises a child starts crying in the time zone from 18:00 to 08:00 on the following day corresponding to the nighttime zone described later, the user X sends the child via the input device 13 of the information input / output terminal 10. State information regarding the occurrence of night crying and time information regarding the time (starting time) when night crying occurred.
  • the user X inputs state information regarding the end of night crying and time information regarding the end time.
  • the childcare record information including the state information and time information is acquired by the processor 21 of the information providing server 20 as described above.
  • the processor 11 of the information input / output terminal 10 relates to the occurrence of the child's night crying by the user X.
  • the time information may be generated by detecting the time when the state information and / or the state information related to the completion is input.
  • the column C of the childcare record information 50 shown in FIG. 2 includes 1 from 08:00 on April 1 to 08:00 on April 2.
  • the time information of four times of 20:15, 02:40, 04:20 and 05:45 is managed as the night crying occurrence time of the child raised by the user X in the day.
  • the child sleep state start time that is, the sleep time is managed in the column C of the row in which the child sleep state is managed in the column B of the child-care record information 50 shown in FIG.
  • the user's sleep state is displayed via the input device 13 of the information input / output terminal 10 and the child's sleep time. Enter time information about.
  • the childcare record information including the status information and time information is acquired by the processor 21 of the information providing server 20 as described above.
  • the processor 11 of the information input / output terminal 10 sets the time when the state information regarding the start of the child's sleep state is input by the user X.
  • Time information may be generated by detection.
  • the column C of the childcare record information 50 shown in FIG. 2 includes 1 from 08:00 on April 1 to 08:00 on April 2.
  • Six times of time information of 10:25, 14:55, 18:05, 20:35, 02:50, and 04:40 are managed as the sleep time of the child raised by the user X in the day. In any one of these six sleep times, the sleep state of the user X's child lasts the longest, but in order to determine the sleep time, information on the child's awakening time is required. .
  • the awakening time from the sleep state of the child is managed.
  • state information relating to the end of the sleep state of the child via the input device 13 of the information input / output terminal 10, state information relating to the end of the sleep state of the child, Time information related to the end time of the sleep state, that is, the awakening time of the child is input.
  • the childcare record information including the status information and time information is acquired by the processor 21 of the information providing server 20 as described above.
  • the processor 11 of the information input / output terminal 10 sets the time when the state information regarding the end of the child's sleep state is input by the user X.
  • Time information may be generated by detection.
  • the column D of the child care record information 50 shown in FIG. 2 includes 1 from 08:00 on April 1 to 08:00 on April 2.
  • Six times of time information of 11:45, 16:10, 20:15, 02:40, 04:20, and 05:45 are managed as the awakening time of the child raised by the user X in the day.
  • the child's sleep lasting the longest in one day from April 1st 08:00 to April 2nd 08:00 The state occurrence time (start time) can be determined to be 20:35.
  • the feeding time (feeding start time) is managed, and in column D of the same row, breast feeding is performed.
  • the end time of is managed.
  • the user X who raises a child, when breast feeding to the child occurs, via the input device 13 of the information input / output terminal 10, status information regarding the occurrence of breast feeding to the child, the time when breast feeding occurred, That is, time information related to breast feeding time is input.
  • the user X inputs status information regarding the end of breastfeeding and time information regarding the end time when breastfeeding to the child is terminated.
  • the childcare record information including the state information and time information is acquired by the processor 21 of the information providing server 20 as described above.
  • the processor 11 of the information input / output terminal 10 causes the baby feeding to the child by the user X.
  • the time information may be generated by detecting the time when the state information related to the situation and / or the status information related to the completion is input.
  • the column C of the childcare record information 50 shown in FIG. 2 includes 1 from 08:00 on April 1 to 08:00 on April 2. Seven times of time information such as 08:05, 09:20, 14:30, 16:15, 18:00, 02:45, and 07:55 are managed as feeding times for the child raised by the user X during the day. Has been.
  • FIG. 3 is a diagram illustrating the occurrence probability of a child's night crying within a predetermined postnatal period.
  • FIG. 3 (a) shows at which time the child nurtured by the user X occurred at night when the child cryed out of the total of 28 days from 5 weeks to 8 weeks after the birth. The results of counting are shown as an example.
  • the line graph 61 is the information for comparison based on the childcare record information of the some user who raises the child from the 2nd week to the 4th week after birth, and corresponds to the night zone of one day. It illustrates how the average value of the occurrence probability of a child's night cry changes with the passage of time in the time zone from 0:00 to 08:00 on the next day.
  • line graphs 62, 63, 64, 65 and 66 respectively show children from 5 to 8 weeks of age, children from 9 to 12 weeks of age, children from 13 to 16 weeks of age, and children of 17 years of age.
  • the change according to the time passage of the average value of the occurrence probability of the night crying of the child from the week to the 20th week and the child from the 21st week to the 24th week is illustrated. Note that the time zone from 18:00 to 08:00 the next day does not necessarily correspond to the night zone, and other time zones may correspond to the night zone.
  • the probability of occurrence of night crying of the child in the 2 hours is (12 / 28) ⁇ 100 ⁇ 43%.
  • Child's crying at night for 2 hours from 22:00 to 24:00 calculated based on childcare record information of a plurality of users who raise children from 5 to 8 weeks of age already written in the storage device 24 Assume that the average value of the occurrence probability is 38% (see the line graph 62 in FIG. 3B).
  • ⁇ 100 13% higher than the average value, “( ⁇ 13%) ”.
  • FIG. 3A shows that the number of night crying occurrences in 2 hours from 00:00 to 02:00 is 10 days, the child's night crying occurrence probability in 2 hours is 36%, and in that 2 hours It shows that the average value of the probability of night crying for children from 5 to 8 weeks of age is 30% (see the line graph 62 in FIG. 3B). In addition, the difference between the average value and the probability of night crying of the user X of the user X in the two hours is 6% higher than the average value.
  • FIG. 3 (a) shows that the number of days of night crying during the 2 hours from 02:00 to 04:00 is 11 days, the probability of the night crying of the child during the 2 hours is 39%, from the 5th week after the birth of the 2 hours It shows that the average value of the probability of night crying for children up to 8 weeks is 32% (see the line graph 62 in FIG. 3B). Further, the difference between the average value of the occurrence probability of the night cry of the child of the user X in the two hours and 7% is 22% higher than the average value.
  • FIG. 3 (a) shows that the number of days of night crying during the 2 hours from 04:00 to 06:00 is 12 days, the probability of the child crying during the 2 hours is 43%, and from the 5th week after the birth for 2 hours. It shows that the average value of the probability of night crying for children up to 8 weeks is 35% (see the line graph 62 in FIG. 3B). Further, the difference between the average value and the probability of the night crying of the user X of the user X during the two hours is 8% higher than the average value.
  • FIG. 3 (a) shows that the number of days of night crying during 2 hours from 06:00 to 08:00 is 13 days, the probability of occurrence of night crying of the child at 2 hours is 46%, and from the 5th week of birth at that 2 hours It shows that the average value of the probability of night crying of children up to 8 weeks is 37% (see the line graph 62 in FIG. 3B). Also, the 9% difference between the probability of night crying of the user X's child during the two hours and the average value thereof is 24% higher than the average value. In particular, in the time from 00:00 to 08:00, the probability of night crying of the child of the user X who has passed 8 weeks is more than the average value of the probability of night crying of the child from 5 weeks to 8 weeks after birth.
  • the value is higher by 20% or more.
  • History information regarding the occurrence probability of night crying of the child of the user X within the total period of 28 days from the fifth week to the eighth week, and historical information regarding the occurrence probability of the child crying of another user from the fifth week to the eighth week after the birth The explanation of the childcare burden detected based on the comparison with the comparison information based on the information and the guidance information to the user X generated according to the detected childcare burden will be described later.
  • FIG. 4 is a diagram illustrating the frequency distribution of the occurrence time of the sleep state of the child lasting the longest in a predetermined postnatal period.
  • FIG. 4 (a) shows that when a child raised by user X has passed 16 weeks of age, the longest lasting sleep state of the child from the 13th to 16th week of birth is 1 day. The result etc. which counted what time it generate
  • the line graph 71 is the information for comparison based on the childcare record information of the some user who raises the child from the 2nd week to the 4th week, and the child lasted the longest in one day It exemplifies how the average value of the occurrence frequency at the time when the sleep state occurs is distributed.
  • line graphs 72, 73, 74, 75 and 76 are respectively shown for children 5 to 8 weeks old, children 9 to 12 weeks old, children 13 to 16 weeks old and 17 children 17 years old.
  • the distribution of the average value of the occurrence frequency of the time when the longest lasting sleep state occurred for the child from the week to the 20th week and the child from the 21st week to the 24th week is illustrated.
  • the deviation D4a from the value 0.1% is
  • 0.1.
  • the number of days in which the longest sleep of the child of the user X occurred in 2 hours from 10:00 to 12:00 in one day is one day in 28 days. Therefore, the occurrence frequency of the longest sleep of the child in the two hours is calculated as (1/28) ⁇ 100 ⁇ 3.6%.
  • the longest of the children in 2 hours from 10:00 to 12:00 calculated based on the child-care record information of a plurality of users who are raising children from the 13th to 16th weeks of age already written in the storage device 24
  • the average value of the occurrence frequency of sleep is 1.9% (see the line graph 74 in FIG. 4B).
  • FIG. 4 (a) shows that the occurrence of the longest sleep of the child in 2 hours from 12:00 to 14:00 is 2 days, and the occurrence frequency of the longest sleep of the child in 2 hours is 7.1. It shows that the average value of the frequency of the longest sleep of the child from the 13th to 16th week after birth in 2 hours is 1.8% (see the line graph 74 in FIG. 4B).
  • the occurrence frequency of the longest sleep of the child of the user X who passed 16 weeks after birth for 2 hours from 12:00 to 14:00 7.1%, and the occurrence frequency of the longest sleep of the child from 13 weeks to 16 weeks after birth The deviation D4c from the average value of 1.8% is
  • 5.3.
  • FIG. 4 (a) shows that the number of occurrences of the longest sleep of the child in 2 hours from 14:00 to 16:00 is 2 days, the frequency of occurrence of the longest sleep of the child in 2 hours is 7.1%, 2 It shows that the average value of the occurrence frequency of the longest sleep of the child from the 13th to 16th week in the time is 3.0% (see the line graph 74 in FIG. 4B). Occurrence frequency of the longest sleep of the child of the user X who passed 16 weeks after birth for 2 hours from 14:00 to 16:00 7.1%, and the occurrence frequency of the longest sleep of the child from 13 weeks to 16 weeks after birth The deviation D4d from the average value of 3.0% is
  • 4.1.
  • FIG. 4 (a) shows that the number of occurrences of the longest sleep of the child in 2 hours from 16:00 to 18:00 is 2 days, the frequency of occurrence of the longest sleep of the child in the 2 hours is 7.1%, 2 It shows that the average value of the occurrence frequency of the longest sleep of the child from the 13th week to the 16th week in the time is 3.1% (see the line graph 74 in FIG. 4B).
  • the occurrence frequency of the longest sleep of the child of the user X who passed 16 weeks after birth for 2 hours from 16:00 to 18:00 7.1%, and the occurrence frequency of the longest sleep of the child from 13 weeks to 16 weeks after birth The deviation D4e from the average value of 3.1% is
  • 4.0.
  • FIG. 4 (a) shows that the number of days of occurrence of the longest sleep of the child in 2 hours from 18:00 to 20:00 is 4 days, the frequency of occurrence of the longest sleep of the child in the 2 hours is 14.3%, 2 It shows that the average value of the occurrence frequency of the longest sleep of the child from the 13th to 16th week in the time is 7.6% (see the line graph 74 in FIG. 4B). Occurrence frequency 14.3% of the longest sleep of the child of the user X who passed 16 weeks after birth in 2 hours from 18:00 to 20:00, and the occurrence frequency of the longest sleep of the child from 13 weeks to 16 weeks after birth. The deviation D4f from the average value of 7.6% is
  • 6.7.
  • FIG. 4 (a) shows that the number of occurrences of the longest sleep of the child in 2 hours from 20:00 to 22:00 is 8 days, the occurrence frequency of the longest sleep of the child in 2 hours is 28.6%, 2 It shows that the average value of the occurrence frequency of the longest sleep of the child from the 13th to the 16th week after birth is 50.2% (see the line graph 74 in FIG. 4B).
  • the deviation D4g from the average value of 50.2% is
  • 21.6.
  • FIG. 4 (a) shows that the number of occurrences of the longest sleep of the child in 2 hours from 22:00 to 24:00 is 5 days, the occurrence frequency of the longest sleep of the child in 2 hours is 17.9%, 2 It shows that the average value of the occurrence frequency of the longest sleep of the child from the 13th to 16th week after birth in the time is 19.5% (see the line graph 74 in FIG. 4B).
  • the frequency of occurrence of the longest sleep of the child of the user X who passed 16 weeks after birth for 2 hours from 22:00 to 24:00, and the frequency of occurrence of the longest sleep of the child from 13 weeks to 16 weeks of age The deviation D4h from the average value of 19.5% is
  • 1.6.
  • FIG. 4 (a) shows that the generation period of the longest sleep of the child in 2 hours from 00:00 to 02:00 is 3 days, the occurrence frequency of the longest sleep of the child in the 2 hours is 10.7%, 2 It shows that the average value of the occurrence frequency of the longest sleep of the child from the 13th to 16th week in the time is 10.2% (see the line graph 74 in FIG. 4B). Occurrence frequency of the longest sleep of the child of the user X who passed 16 weeks after birth from 00:00 to 02:00 10.7% and the occurrence frequency of the longest sleep of the child from 13 weeks to 16 weeks after birth The deviation D4i from the average value of 10.2% is
  • 0.5.
  • FIG. 4 (a) shows that the occurrence of the longest sleep of the child in 2 hours from 02:00 to 04:00 is 1 day, the occurrence frequency of the longest sleep of the child in 2 hours is 3.6%, 2 It shows that the average value of the occurrence frequency of the longest sleep of the child from the 13th to 16th week in the time is 2.1% (see the line graph 74 in FIG. 4B). Occurrence frequency of the longest sleep of the child of the user X who passed 16 weeks after birth for 2 hours from 02:00 to 04:00 3.6%, and the occurrence frequency of the longest sleep of the child from 13 weeks to 16 weeks after birth The deviation D4j from the average value of 2.1% is
  • 1.5.
  • FIG. 4 (a) shows that the number of days of occurrence of the longest sleep of the child in 2 hours from 04:00 to 06:00 is 0 days, the frequency of occurrence of the longest sleep of the child in the 2 hours is 0%, It shows that the average value of the occurrence frequency of the longest sleep of children from the 13th to the 16th week of birth is 0.4% (see the line graph 74 in FIG. 4B). Occurrence frequency 0% of the longest sleep of the child of the user X who passed 16 weeks of age in 2 hours from 04:00 to 06:00, and the average occurrence frequency of the longest sleep of the child from 13 weeks to 16 weeks of age The deviation D4k from the value 0.4% is
  • 0.4.
  • FIG. 4 (a) shows that the occurrence of the longest sleep of the child in 2 hours from 06:00 to 08:00 is 0 days, the occurrence frequency of the longest sleep of the child in 2 hours is 0%, and in that 2 hours It shows that the average value of the occurrence frequency of the longest sleep of children from the 13th to the 16th week of birth is 0.1% (see the line graph 74 in FIG. 4B).
  • the deviation D4l from the value 0.1% is
  • 0.1.
  • the frequency distribution of the longest sleep occurrence time of the child of the user X who has passed 16 weeks of birth is expressed by the following formula (1) with respect to the average value distribution of the occurrence frequency of the longest sleep occurrence time of the child from 13 weeks to 16 weeks of age:
  • the variance V44 calculated by According to equation (1), the value of the variance V44 is 580.48.
  • V44 D4a 2 + D4b 2 + D4c 2 + D4d 2 + D4e 2 + D4f 2 + D4g 2 + D4h 2 + D4i 2 + D4j 2 + D4k 2 ⁇ (1)
  • the distribution V44 of the frequency distribution of the longest sleep occurrence time of the child of the user X who has passed 16 weeks of age with respect to the line graph 74 of FIG. 4B is calculated by the equation (1).
  • V45 and V46 can be calculated respectively.
  • the frequency distribution of the longest sleep occurrence time of the child of the user X is the longest sleep occurrence of the other children. You can see whether it is moving forward or behind compared to the time frequency distribution.
  • Deviations D2a, D2b, D2c, and D2d from the average values of the occurrence frequency of longest sleep of children up to 0.1%, 4.1%, 7.4%, and 7.2% are 0.1, 0.5, 0.3, and 0.1.
  • the above 16 weeks after birth in 2 hours from 16:00 to 18:00, from 18:00 to 20:00, from 20:00 to 22:00, and from 22:00 to 24:00
  • the occurrence frequency of the longest sleep of the child of the user X who has passed is 7.1%, 14.3%, 28.6%, and 17.9%, and from the fifth week after birth shown by the line graph 72 in FIG.
  • Deviations D2e, D2f, D2g, and D2h from the mean 7.6%, 13.4%, 29.8%, and 17.4% of the frequency of occurrence of the longest sleep up to 8 weeks are 0. 5, 0.9, 1.2, and 0.5.
  • the above-mentioned 16 weeks after birth in 2 hours from 00:00 to 02:00, from 02:00 to 04:00, from 04:00 to 06:00, and from 06:00 to 08:00
  • the frequency of occurrence of the longest sleep of the child of user X who has passed is 10.7%, 3.6%, 0%, and 0%, and from the 5th to 8th week of birth shown by the line graph 72 in FIG.
  • Deviations D2i, D2j, D2k, and D2l from the mean 10.1%, 2.6%, 0.2%, and 0.1% of the occurrence frequency of the longest sleep in the children are 0.6, 1. 0, 0.2, and 0.1.
  • the frequency distribution of the longest sleep occurrence time of the child of the user X who has passed 16 weeks of birth is expressed by the following formula (2) with respect to the average value distribution of the occurrence frequency of the longest sleep occurrence time of the child from 5 weeks to 8 weeks after birth:
  • the variance V42 calculated by According to equation (2), the value of variance V42 is 4.52.
  • V42 D2a 2 + D2b 2 + D2c 2 + D2d 2 + D2e 2 + D2f 2 + D2g 2 + D2h 2 + D2i 2 + D2j 2 + D2k 2 (2)
  • the variance indicating the minimum value among these six variance values is determined to be the variance V42.
  • the frequency distribution of the longest sleep occurrence time of the child of the user X who has passed 16 weeks of age is most similar to the average value distribution of the occurrence frequency of the longest sleep occurrence time of the child from 5 weeks to 8 weeks of age. Therefore, it can be determined that the delay is about eight weeks.
  • History information on the frequency distribution of the longest sleep occurrence time of the child of the user X in the total period of 28 days from the 13th week to the 16th week, and the longest sleep occurrence time of the child of the other user from the 13th week to the 16th week after the birth The explanation about the childcare burden detected based on the comparison with the comparison information based on the history information about the frequency distribution, and the explanation about the guidance information to the user X generated according to the detected childcare burden, It will be described later.
  • FIG. 5 is a diagram illustrating a breast feeding interval to a child within a predetermined postnatal period.
  • FIG. 5 (a) shows that 12 weeks have passed since user X was trained in the time zone from 08:00 to 20:00 on April 1 and in the time zone from 08:00 to 20:00 on April 2. Illustrates breastfeeding intervals for later children.
  • the breast feeding interval in the time zone from 08:00 to 20:00 on April 1 is 5 in the above-mentioned time zone among the seven feeding times managed in the column C of the child care record information 50 shown in FIG.
  • FIG. 5 (a) shows the values of four feeding intervals such as 1.3 hours, 5.2 hours, 1.8 hours, and 1.8 hours calculated based on the time of feeding. Has been.
  • the breast feeding intervals in the time period from 08:00 to 20:00 on April 2 were calculated in the same manner, and the values of the breast feeding intervals for three times such as 3.3 hours, 6.0 hours, and 1.9 hours are shown in FIG. It is shown in (a).
  • the child care record information including the breast feeding times to the children of a plurality of users other than the user X is written in the storage device 24 of the information providing server 20, as shown in FIG.
  • Statistical values such as the average of breastfeeding intervals for children for each postnatal period, 10 percent tile, and 90 percentile can be calculated as comparison information. By comparing these statistical values with the breast feeding interval of the user X to the child, the degree of variation in the breast feeding interval of the user X to the child can be evaluated.
  • the average breastfeeding interval for children from 2 weeks to 4 weeks of age, 10 percent tile, and 90 percentile The values are 2.1 hours, 1.7 hours, and 2.5 hours, respectively.
  • the average breastfeeding interval for children between 5 and 8 weeks of age is 10 percent tile and 90 percentile values of 2.6 hours, 2.0 hours, and 3.2 hours, respectively.
  • the average breastfeeding interval for children from 9 to 12 weeks of age, the values for the 10 percent tile and 90 percentile are 3.2 hours, 2.3 hours, and 4.1 hours, respectively.
  • the average breastfeeding interval for children from 13 to 16 weeks of age is 3.9 hours, 2.6 hours, and 5.2 hours, respectively.
  • the average breastfeeding interval for children from 17 to 20 weeks of age is 4.7, 3.0, and 6.4 hours, respectively.
  • the average breastfeeding interval for children from 21 to 24 weeks of age is 5.3, 3.5, and 7.1 hours for the 10 percent tile and 90 percentile values, respectively.
  • the value of the breast feeding interval to the child of the user X who has passed 12 weeks of age is acquired four times. Any of these four breastfeeding interval values is less than the 10 percent tile value of the breastfeeding interval for children from 9 to 12 weeks of age shown in FIG. 5 (b), or the 90th percentile value. It exceeds.
  • the range below the 10 percent tile value and the range above the 90th percentile value will be referred to as a specific range. For example, when the value of the acquired breastfeeding interval is included in the specific range twice consecutively, or when it is included in the specific range three times regardless of continuous / discontinuous between 08:00 and 24 hours, It is determined that there is a variation in the feeding interval.
  • the value of the feeding interval to the child of the user X who has passed 12 weeks of age is included in the specific range twice consecutively, and 08: Since it is included in the specific range three times regardless of continuous / non-continuous from 00 to 24 hours, it is determined that there is a variation in the feeding interval.
  • the value of the breast feeding interval for the child of user X who has passed 12 weeks of age is acquired three times.
  • the value of 6.0 hours acquired for the second time and the value of 1.9 hours acquired for the third time are shown in FIG. Less than the 10 percent tile value of the breastfeeding interval for children from 9 to 12 weeks of age or greater than the 90 percentile value. Therefore, in the time period from 08:00 to 20:00 on April 2, the value of the feeding interval to the child of the user X who has passed 12 weeks of age is included in the specific range twice consecutively. It is determined that there is variation.
  • History information regarding the occurrence interval of breastfeeding to the child of the user X within the total period of 28 days from the 9th week to the 12th week, and history relating to the occurrence interval of the breastfeeding to the child of the other user from the 9th week to the 12th week after the birth The explanation about the childcare burden detected based on the comparison with the information for comparison based on the information and the guidance information to the user X generated according to the detected childcare burden will be described later.
  • zone may be used not only in the value of the breast feeding interval in the time slot
  • FIG. 6 is a diagram exemplifying guidance information output processing performed in accordance with the detection result of the childcare burden caused to the user.
  • the processor 21 of the information providing server 20 provides childcare record information of a specific user acquired from the information input / output terminal 10 and childcare of some or all users read from the storage device 24 of the information providing server 20. By comparing the information for comparison based on the recorded information, the childcare burden caused to the specific user is detected.
  • the processor 21 of the information providing server 20 has a probability of night crying of a child of a user X who has passed 8 weeks of birth at a time from 00:00 to 08:00, When it is detected that the transition from the average value of the probability of night crying of the child from week 8 to week 8 is 20% or more, it is determined that the childcare burden caused to the user is level 3.
  • the processor 21 of the information providing server 20 has a probability of night crying of the child of the user X who has passed 8 weeks of age 10% or more higher than the average value of the probability of night crying of the child from the 5th to 8th week of birth, And when it detects that it is changing with the value of less than 20%, it determines with the childcare burden which arises in a user being Level 2.
  • the processor 21 of the information providing server 20 has a probability that the night cry of the child of the user X who has passed 8 weeks of age is 5% or more higher than the average probability of the night cry of the child from the 5th week to the 8th week, In addition, when it is detected that the transition is less than 10%, the childcare burden generated on the user is determined as level 1.
  • the childcare burden caused to the user is set to level 3. Is determined.
  • the childcare burden that occurs to the user is determined to be level 2 To do.
  • the childcare burden that occurs to the user is determined as level 1 To do.
  • the processor 21 of the information providing server 20 is in a range in which the value of the occurrence interval of breast feeding to the child of the user X who has passed 12 weeks of age is less than the value of the 10 percent tile and the value of the 90th percentile.
  • the childcare burden caused to the user is determined as level 3.
  • the processor 21 of the information providing server 20 determines that the value of the breast feeding interval for the child of the user X who has passed 12 weeks of age is included in the above-mentioned specific range three times continuously, or from 08:00 to 24 hours If the child is included four times regardless of whether it is continuous or non-continuous, the childcare burden caused to the user is determined as level 2.
  • the processor 21 of the information providing server 20 determines that the value of the breast feeding interval for the child of the user X who has passed 12 weeks of age is included in the above-mentioned specific range twice, or from 08:00 to 24 hours. If the child is included three times regardless of whether it is continuous or discontinuous, the childcare burden caused to the user is determined as level 1.
  • the processor 21 of the information providing server 20 detects the childcare burden caused to the user, if it is determined that the childcare burden level is the highest level 3, the user has a large childcare burden. Because there is a possibility, guide information is created so that a contact screen of a medical institution or the like can be displayed, and guidance information that guides an answer to a user questionnaire for the purpose of determining the user's health status create.
  • the output device 14 of the information input / output terminal 10 performs screen display and / or voice guidance based on the created guidance information.
  • the processor 21 of the information providing server 20 detects the childcare burden caused to the user, if it is determined that the childcare burden level is level 2 after level 3, the childcare burden is generated on the user. As well as creating guidance information that introduces websites and application tools that are useful for self-diagnosis of childcare burden, create guidance information so that you can display the contact information of medical institutions, etc. .
  • the output device 14 of the information input / output terminal 10 performs screen display and / or voice guidance based on the created guidance information.
  • the processor 21 of the information providing server 20 detects the childcare burden caused to the user, if it is determined that the childcare burden level is equal to or lower than level 1, which is lower than level 2, Create guidance information that introduces websites and application tools that can help with mitigation and self-diagnosis.
  • the output device 14 of the information input / output terminal 10 performs screen display and / or voice guidance based on the created guidance information.
  • FIG. 7 is a diagram illustrating guidance information output by screen display.
  • the processor 21 of the information providing server 20 determines that the occurrence probability of the night cry of the child of the user X who has passed 8 weeks of age in the time from 00:00 to 08:00 illustrated in FIG. It is detected that the child's night cry from the week 8 to the week 8 is moving at a value that is 20% or more higher than the average value of the probability of night crying, and the childcare burden caused to the user X is determined as level 3.
  • messages 141 and 142 which are part of the guide information created by the processor 21 of the information providing server 20 are displayed on the screen 140 of the output device 14 of the information input / output terminal 10 as shown in FIG. a) shows.
  • the message 141 indicates that the probability of night crying is 20% or more higher than the average of 5-8 weeks after birth at the time of 00: 00-08: 00. Is described as “This may have occurred.”, Which corresponds to level 3 childcare burden detection.
  • the message 142 describes “Next”.
  • FIG. 7A when the user X touches the message 142 displayed on the screen 140 of the output device 14 of the information input / output terminal 10, the display content is switched to the screen 140 shown in FIG. 7B.
  • FIG. 7B shows an example in which messages 143, 144, and 145 that are part of the guidance information created by the processor 21 of the information providing server 20 are displayed on the screen 140 of the output device 14 of the information input / output terminal 10. Is shown.
  • the processing content corresponding to the childcare burden level 3 shown in FIG. 6 is executed.
  • the message 143 says, “Let us tell your spouse and family about the fact that there is a high probability of crying at night and ask for help.
  • the messages 143 and 144 are both displayed to guide the answer to the user questionnaire for the purpose of determining the health state of the user X.
  • the user X touches the message 145 described as “contact information such as medical institution” displayed on the screen 140, a specific contact information such as medical institution is displayed.
  • FIG. 8 is a diagram illustrating guidance information output by screen display.
  • the processor 21 of the information providing server 20 shows that the frequency distribution of the longest sleep occurrence time of the child of the user X who has passed 16 weeks of age is 8 weeks in 24 hours from 08:00 to 08:00 the next day illustrated in FIG. It is detected that it is delayed to some extent based on the comparison information, and the childcare burden caused to the user X is determined as level 2.
  • messages 141 and 142 which are part of the guide information created by the processor 21 of the information providing server 20 are displayed on the screen 140 of the output device 14 of the information input / output terminal 10 as shown in FIG. a) shows.
  • the message 141 states, “The frequency distribution of the longest sleep time occurrence time shows a delay of about 8 weeks. There may be a childcare burden on you.” The description corresponds to level 2 childcare burden detection.
  • the message 142 describes “Next”.
  • FIG. 8A when the user X touches the message 142 displayed on the screen 140 of the output device 14 of the information input / output terminal 10, the display content is switched to the screen 140 shown in FIG. 8B.
  • FIG. 8B shows an example in which messages 143, 145, and 146, which are part of guidance information created by the processor 21 of the information providing server 20, are displayed on the screen 140 of the output device 14 of the information input / output terminal 10. Is shown.
  • the processing content corresponding to the childcare burden level 2 shown in FIG. 6 is executed.
  • the message 143 states, “The frequency distribution of the longest sleep time is only lagging and it is steadily stabilizing.
  • the baby's biological clock is growing smoothly, so don't rush.”
  • the purpose of this is to relieve the burden of childcare on the user X.
  • the user X touches the message 145 described as “contact information such as medical institution” displayed on the screen 140, a specific contact information such as medical institution is displayed.
  • the user X touches the message 146 that is displayed on the screen 140 with “Introduction of childcare burden check site / tool”, a screen that introduces specific websites and application tools useful for self-diagnosis of the childcare burden is displayed. Is done.
  • FIG. 9 is a diagram illustrating guidance information output by screen display.
  • the processor 21 of the information providing server 20 generates a breastfeeding to the child of the user X who has passed 12 weeks of age in the 24 hours from 08:00 on April 2 to 08:00 on April 3 illustrated in FIG. Based on the information for comparison, it is detected that the interval value was included twice in a specific range that is lower than the value of the 10 percent tile and higher than the value of the 90th percentile.
  • the burden is determined as level 1.
  • messages 141 and 142 that are part of the guide information created by the processor 21 of the information providing server 20 are displayed on the screen 140 of the output device 14 of the information input / output terminal 10 as shown in FIG. a) shows.
  • the message 141 states that “the breastfeeding interval is different from the average of 3.2 hours in 9-12 weeks after birth.”
  • the message 142 describes “Next”.
  • FIG. 9A when the user X touches the message 142 displayed on the screen 140 of the output device 14 of the information input / output terminal 10, the display content is switched to the screen 140 shown in FIG. 9B.
  • FIG. 9B shows an example in which messages 143, 146, and 147 that are part of the guide information created by the processor 21 of the information providing server 20 are displayed on the screen 140 of the output device 14 of the information input / output terminal 10. Is shown.
  • the processing content corresponding to the childcare burden level 1 shown in FIG. 6 is executed.
  • the message 143 says, “If you keep the feeding interval constant, the baby's life rhythm will be more stable and it will be effective in reducing or suppressing your childcare burden. Would you like to use a nursing timer?” And “Yes” and “No” selection buttons are also displayed.
  • the user X touches the message 146 that is displayed on the screen 140 with “Introduction of childcare burden check site / tool”, a screen that introduces specific websites and application tools useful for self-diagnosis of the childcare burden is displayed. Is done.
  • the message 147 that is displayed on the screen 140 and described as “introduction of childcare burden / deterrence site / tool”, a specific website or application tool useful for reducing / deterring the childcare burden is introduced. A screen is displayed.
  • the guidance information including information on the question about the health state of the user X is displayed as information. It is created by the processor 21 of the providing server 20 and displayed on the screen 140.
  • the processor 21 of the information providing server 20 detects the health state of the user X in detail based on the result of analyzing the answer, and generates notification information regarding the health state of the user X according to the detection result.
  • FIG. 10 is a diagram exemplifying guidance information on a question regarding the health condition of a specific user X displayed on a screen and notification information output regarding a health condition for the specific user X based on an answer to the question.
  • FIG. 10 shows this.
  • the message 150 displayed under the message “Questionnaire” displayed on the screen 140 is “Question 1: I was able to laugh as an example of a question regarding the health condition of the user X”.
  • the message 148 says, “Your childcare burden seems to be considerable. If you suspect that you have postpartum depression, we recommend that you consult a medical institution at an early stage. Is described.
  • the user X touches the message 145 described as “contact information such as medical institution” displayed on the screen 140, a specific contact information such as medical institution is displayed.
  • the messages 145 and 148 are both displays that may give the user X an opportunity to intervene.
  • the user X touches the message 149 described as “details of questionnaire response analysis result” displayed on the screen 140 the details of the questionnaire response analysis result are displayed.
  • FIG. 11 is a diagram illustrating processing contents executed by a computer program running on the information providing server 20.
  • the processor 21 of the information providing server 20 activates a computer program stored in the memory 22 and executes the processing content shown in FIG. 11, thereby obtaining an information acquisition processing unit 211, a detection processing unit 212, and an information generation processing unit 213. Function as.
  • step S1110 the information acquisition processing unit 211 acquires the child-care record information of the user from the information input / output terminal 10 via the communication module 23.
  • the child-care record information includes time information regarding the time and state information regarding that the user's child at that time is in some state.
  • the state is, for example, a state of crying at night, a state of sleeping, and / or a state of breast feeding.
  • step S1120 the information acquisition processing unit 211 writes and stores the acquired child-care record information in the storage device 24.
  • step S1130 the processor 21 determines whether or not a predetermined period, for example, 24 hours from 08:00 to 08:00 on the next day has elapsed. In the case of negative determination, the process shown in FIG. 11 ends. In the case of an affirmative determination, in step S1140, the detection processing unit 212 determines the occurrence probability of the child's night cry, the child's longest sleep occurrence time, based on the user's childcare record information acquired from the information input / output terminal 10. The history information for the past 24 hours related to the frequency distribution and / or the breast feeding interval to the child is read from the storage device 24 and acquired. At this time, the detection processing unit 212 acquires the history information of other users as comparison information together with the history information of a specific user, and compares the history information.
  • a predetermined period for example, 24 hours from 08:00 to 08:00 on the next day has elapsed. In the case of negative determination, the process shown in FIG. 11 ends. In the case of an affirmative determination, in step S11
  • step S1150 the detection processing unit 212 detects the childcare burden caused to the specific user by comparing the specific user's history information with the comparison information based on the other user's history information.
  • step S ⁇ b> 1160 the information generation processing unit 213 provides guidance to the specific user according to the history information (comparison information) compared by the detection processing unit 212 and the detected childcare burden caused by the specific user. Generate information.
  • the guidance information generated by the information generation processing unit 213 is transmitted to the specific user through the output device 14 of the information input / output terminal 10.
  • step S1170 When the user who knows the guidance information makes an intention to answer the questionnaire regarding his / her own health condition, the condition determination “Is the questionnaire regarding the health condition?” In step S1170 is affirmed by the processor 21, and the user's health Guidance information including information on the question about the state is generated by the information generation processing unit 213 and transmitted to the specific user through the output device 14 of the information input / output terminal 10.
  • the information acquisition processing unit 211 acquires information on the answer. If the user who knows the guidance information does not indicate his / her intention to answer the questionnaire regarding his / her own health condition, the processor 21 rejects the condition determination of “Implement a questionnaire regarding the health condition?” In step S1170. The process shown ends.
  • step S1180 the detection processing unit 212 further detects the health state of the specific user based on the answer acquired by the information acquisition processing unit 211, and relates to the health state of the specific user according to the detection result.
  • the information generation processing unit 213 generates the notification information, the process illustrated in FIG. 11 ends.
  • the computer program running on the information input / output terminal 10 and / or the information providing server 20 described above is used for information input / output through a recording medium 45 such as a CD-ROM or a USB memory, or a data signal flowing through a communication network 30 such as the Internet. It can be provided to the terminal 10 and / or the information providing server 20.
  • FIG. 12 is a diagram showing this state, that is, a diagram illustrating a product supply mode of a computer program running on the information input / output terminal 10 and / or the information providing server 20.
  • the information input / output terminal 10 is, for example, a personal computer 10a, a mobile terminal 10b such as a mobile phone or a tablet computer, and / or a smart speaker 10c.
  • the information input / output terminal 10 and / or the information providing server 20 is provided with a computer program via the recording medium 45. Further, the information input / output terminal 10 and the information providing server 20 have a connection function with the communication network 30 via the communication modules 15 and 23, respectively.
  • the computer program providing server 40 is a server computer that provides the computer program, and stores the program in a recording medium 410 such as a hard disk.
  • the communication network 30 is the Internet, a wireless LAN, a telephone network, a dedicated line, or the like.
  • the computer program providing server 40 reads the program using the recording medium 410 and transmits the computer program to the information input / output terminal 10 and / or the information providing server 20 via the communication network 30. That is, the computer program is loaded on a carrier wave as a data signal and transmitted via the communication network 30.
  • the computer program can be supplied as a computer readable computer program product in various forms such as a recording medium and a data signal (carrier wave).
  • the information providing system 1 including the information providing server 20 and the information input / output terminal 10 in the present embodiment, the following operational effects can be obtained.
  • the information providing server 20 includes an information acquisition processing unit 211 that acquires childcare record information 50 including information indicating childcare records when a plurality of users including the specific user X raise a child, and childcare of the specific user X Information for comparison based on record information 50 and childcare record information of at least some of a plurality of users (average value of occurrence probability of child's night cry, average frequency distribution of child's longest sleep occurrence time, or to child) And the detection processing unit 212 for detecting the childcare burden caused by the specific user X, and the specific user X according to the childcare record information 50 and the childcare burden of the specific user X. And an information generation processing unit 213 that generates guide information to be provided to X. Therefore, it is possible to obtain an effect that the specific user X can be aware of the degree of childcare burden and can suspect postpartum depression when the childcare burden is large.
  • the information input / output terminal 10 is, for example, a personal computer 10a, a mobile terminal 10b such as a mobile phone or a tablet computer, and / or a smart speaker 10c, and the input device 13 and the output device 14 are integrated.
  • the input device 13 and the output device 14 may each be provided as a device that has a communication function and is physically independent of each other.
  • the input device 13 is, for example, a camera, a thermometer, and / or other biological sensors, and the above-described childcare record information based on the collected images, temperature information, and / or other biological information is provided via the communication network 30. It may be acquired by the processor 21 of the server 20.
  • the output device 14 is, for example, a mobile terminal and / or a smart speaker, and outputs the above-described guidance information acquired from the information providing server 20 via the communication network 30 with a screen or sound. In this case, it is possible for the user to reduce the trouble of inputting the child-care record information via the input device 13.
  • the biological information described above is information relating to heartbeat, body temperature, respiration, blood oxygen concentration, sweating, body movement, sleep phase, and the like.
  • the child-care record information 50 acquired from the information input / output terminal 10 by the processor 21 of the information providing server 20 is a state representing a state where the child is crying at night as illustrated in FIG.
  • Information and time information regarding the time when the night crying occurred does not necessarily have to be included in the childcare record information.
  • Childcare record information includes state information regarding the start of a child's sleep state, time information regarding the child's sleep time, state information regarding the end of the child's sleep state, and time information regarding the child's awakening time For example, it may be considered that night crying occurs from the awakening time to the next sleep time in the night zone, and the awakening time may be treated as the night crying occurrence time.
  • the childcare record information includes status information about the occurrence of breastfeeding to the child and time information about the breastfeeding time at which the breastfeeding occurred, for example, when a child breastfeeds during the night, It is also possible to treat the feeding time as the occurrence time of night crying, assuming that it has occurred.
  • the childcare record information includes excretion information related to the excretion of the child and time information related to the time when the excretion occurred or the time when the child's diaper was changed, for example, when the excretion of the child occurs during the night, It is also possible to treat the time when the excretion occurs or the time when the child's diaper is changed as the time when the night crying occurs. By doing in this way, the effect that the effort which inputs child care record information via the input device 13 can be reduced can be acquired for a user.
  • the specific medical institution contact information is “medical institution contact information” displayed on the screen 140 of the output device 14 of the information input / output terminal 10 illustrated in FIG. It is displayed when a message 145 with “
  • a specific contact information such as a medical institution may be displayed on the screen 140 illustrated in FIG. 7A or 7B.
  • a specific contact information such as a medical institution may be displayed on the screen 140 by push notification without waiting for the output timing of the guidance information as illustrated in FIG.
  • message notification from a specific medical institution, e-mail transmission, telephone contact, and the like may be performed.
  • the output of the guidance information and / or notification information in the output device 14 of the information input / output terminal 10 is not limited to the mode illustrated in FIGS. 7, 8, and 9.
  • the information providing server 20 acquires and stores the child-care record information of the specific user X and other users, and the past 24 hours based on the child-care record information.
  • the minute history information is read out for comparison with each other.
  • an information processing server 25 may be provided separately from the information providing server 20 as a component of the information providing system 1.
  • the process of acquiring and storing the childcare record information of the specific user X and the process of reading out the history information for the past 24 hours based on the childcare record information and generating the comparison information are not information processing server 20 but information processing. Performed by the server 25.
  • the information providing server 20 performs a process of acquiring and storing childcare record information of a specific user X and a process of reading history information for the past 24 hours based on the childcare record information.
  • the information providing server 20 compares the history information of the specific user X with the comparison information generated by the information processing server 25, and detects the childcare burden caused to the specific user X.
  • FIG. 13 is a diagram showing the information providing system 1 in the fifth modification. 13A
  • the information providing system 1 includes an information providing server 20, an information processing server 25, and information input / output terminals 10a and 10b.
  • the information providing server 20, the information processing server 25, the information input / output terminal 10a, and 10b are connected to each other via a communication network 30.
  • the configuration of the information providing server 20 illustrated in FIG. 13A may be the same as that illustrated in FIG. 1C, but the functions of the information acquisition processing unit 211, the detection processing unit 212, and the information generation processing unit 213 of the information providing server 20 are illustrated. The difference is that some are not done.
  • the information processing server 25 includes a processor 26, a memory 27, a communication module 28, and a storage device 29.
  • the processor 26 activates the computer program stored in the memory 27 to control the operation of the communication module 28, the writing of information to the storage device 29, and the reading of information from the storage device 29, and the acquisition of information. It functions as a processing unit 261, a detection processing unit 262, and an information generation processing unit 263.
  • the communication module 28 has a wireless communication function or a wired communication function for connecting the information processing server 25, the information input / output terminals 10a and 10b, and the information providing server 20 to each other via the communication network 30.
  • the information acquisition processing unit 261 of the processor 26 acquires child care record information of a plurality of users from the information input / output terminals 10 a and 10 b via the communication module 28 and writes them in the storage device 29.
  • the detection processing unit 262 of the processor 26 reads history information for the past 24 hours, which is composed of the child-care record information of a plurality of users written by the information acquisition processing unit 261, from the storage device 29.
  • the information generation processing unit 263 of the processor 26 generates comparison information based on the history information read by the detection processing unit 262, and compares the information autonomously or as a response to the distribution request from the information providing server 20.
  • the business information is distributed to the information providing server 20 via the communication module 28.
  • the information providing server 20 compares the history information of the specific user X acquired by itself with the comparison information distributed from the information processing server 25, detects the childcare burden caused by the specific user X, and the childcare In accordance with the burden and the information for comparison, guidance information to be provided to the specific user X is generated.
  • the generated guidance information is specified through the information input / output terminal 10a or 10b of the specific user X or the output device 14 of the information input / output terminal (not shown) connected to the information providing server 20 via the communication network 30.
  • the information processing server 25 is provided separately from the information providing server 20 as a component of the information providing system 1, the operator A that operates the information providing server 20, and the operator B that operates the information processing server 25 However, they may be the same company or different companies.

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Abstract

An information providing device is provided with: an information acquisition processing unit for acquiring, from child care record information including information which indicates a child care record in nursing a child by each of a plurality of users, at least the child care record information of a specific user; a detection processing unit for detecting a child care burden generated for the specific user by comparing the child care record information of the specific user with comparison information based on the child care record information of at least a part of users out of the plurality of users; and an information generation processing unit for generating guide information to be provided to the specific user in accordance with the child care burden and the child care record information of the specific user.

Description

情報提供装置、情報提供システム及びコンピュータプログラムInformation providing apparatus, information providing system, and computer program
　本発明は、情報提供装置、情報提供システム及びコンピュータプログラムに関する。 The present invention relates to an information providing apparatus, an information providing system, and a computer program.
　被検者がうつ病に該当する可能性を判定する精神科医療補助システムが開示されている（特許文献１参照）。 A psychiatric medical assistance system for determining the possibility that a subject falls into depression has been disclosed (see Patent Document 1).
　子供の養育者に対し、特許文献１に開示された技術を適用すると、その養育者が産後うつ病に罹患している可能性を判定できる。 If the technology disclosed in Patent Document 1 is applied to a child caregiver, the possibility that the caregiver suffers from postpartum depression can be determined.
日本国特開２０１６－６６３１７号公報Japanese Unexamined Patent Publication No. 2016-66317
　養育者に対して特許文献１に開示された技術が適用されるためには、養育者自身が、産後うつ病を誘発しかねない程度の育児負担を自覚していることが必要である。したがって、育児負担の程度を自覚していない養育者に対しては特許文献１に開示された技術が適用されないという問題がある。 In order for the technology disclosed in Patent Document 1 to be applied to a caregiver, it is necessary for the caregiver himself to be aware of the childcare burden that can induce postpartum depression. Therefore, there is a problem that the technique disclosed in Patent Document 1 is not applied to a caregiver who is not aware of the level of the childcare burden.
　本発明の第１の態様によると、情報提供装置は、複数のユーザがそれぞれ子供を養育する際の育児記録を示す情報を含む育児記録情報のうち、少なくとも、特定のユーザの前記育児記録情報を取得する情報取得処理部と、前記特定のユーザの前記育児記録情報と、前記複数のユーザのうちの少なくとも一部のユーザの前記育児記録情報に基づく比較用情報とを比較することによって、前記特定のユーザに生じる育児負担を検出する検出処理部と、前記特定のユーザの前記育児記録情報及び前記育児負担に応じて、前記特定のユーザへ提供する案内情報を生成する情報生成処理部とを備える。
　本発明の第２の態様によると、第１の態様による情報提供装置において、前記育児記録情報は、前記子供の状態に関する状態情報と、前記状態の発生時刻に関する時刻情報とを含み、前記検出処理部は、前記特定のユーザの前記状態情報及び前記時刻情報と、前記少なくとも一部のユーザの前記状態情報及び前記時刻情報に基づく前記比較用情報とを比較することによって、前記育児負担を検出するのが好ましい。
　本発明の第３の態様によると、第２の態様の情報提供装置において、前記検出処理部は、前記特定のユーザの前記状態情報及び前記時刻情報と、前記少なくとも一部のユーザの前記状態情報及び前記時刻情報に基づく前記比較用情報との比較として、前記状態情報及び前記時刻情報に基づき、前記状態の発生確率、前記状態の発生頻度分布及び前記状態の発生間隔のうちの少なくとも一種類の履歴情報を取得し、前記特定のユーザに対応する前記少なくとも一種類の履歴情報と、前記少なくとも一部のユーザに対応する前記少なくとも一種類の履歴情報である前記比較用情報とを比較するのが好ましい。
　本発明の第４の態様によると、第３の態様の情報提供装置において、前記状態の前記発生確率は、所定期間内における前記子供の夜泣きの発生確率であって、前記状態の前記発生頻度分布は、所定期間内において最も長く持続した前記子供の睡眠状態の発生時刻の頻度分布であって、前記状態の前記発生間隔は、所定期間内における前記子供の授乳間隔であるのが好ましい。
　本発明の第５の態様によると、第３の態様又は第４の態様の情報提供装置において、前記情報生成処理部は、前記特定のユーザの前記育児記録情報及び前記育児負担と、前記発生確率、前記発生頻度分布及び前記発生間隔の各々とに応じて、前記案内情報を生成するのが好ましい。
　本発明の第６の態様によると、第１の態様から第５の態様までのいずれか一つの情報提供装置において、前記案内情報は、前記特定のユーザの健康状態に関する質問の情報を含み、前記情報取得処理部は、前記特定のユーザの前記質問に対する回答の情報をさらに取得し、前記検出処理部は、前記回答に基づき前記健康状態をさらに検出し、前記情報生成処理部は、前記検出処理部による前記健康状態の検出結果に応じて、前記特定のユーザ向けの前記健康状態に関する通知情報をさらに生成するのが好ましい。
　本発明の第７の態様によると、情報提供システムは、第１の態様から第６の態様までのいずれか一つの情報提供装置と、前記特定のユーザの前記育児記録情報が画面入力情報、音声入力情報、画像、温度情報及び生体情報のうちの少なくとも一つの情報として入力される入力装置と、前記特定のユーザに対して前記案内情報を画面又は音声により出力する出力装置とを備える。
　本発明の第８の態様によると、第７の態様の情報提供システムにおいて、前記複数のユーザの前記育児記録情報を取得し、前記少なくとも一部のユーザの前記育児記録情報に基づく前記比較用情報を生成する情報処理装置をさらに備えるのが好ましい。
　本発明の第９の態様によると、コンピュータプログラムは、複数のユーザの各々が子供を養育する際の育児記録を示す情報を含む育児記録情報を取得する情報取得処理機能と、
　前記複数のユーザのうちの特定のユーザの前記育児記録情報と、前記複数のユーザのうちの少なくとも一部のユーザの前記育児記録情報とを比較することによって、前記特定のユーザに生じる育児負担を検出する検出処理機能と、前記特定のユーザの前記育児記録情報及び前記育児負担に応じて、前記特定のユーザへ提供する案内情報を生成する情報生成処理機能とをコンピュータに実現させるために設けられる。
　本発明の第１０の態様によると、第９の態様のコンピュータプログラムにおいて、前記子供の状態に関する状態情報と、前記状態の発生時刻に関する時刻情報とを含み、前記検出処理機能は、前記特定のユーザの前記状態情報及び前記時刻情報と、前記少なくとも一部のユーザの前記状態情報及び前記時刻情報とを比較することによって、前記育児負担を検出することを含むのが好ましい。
　本発明の第１１の態様によると、第１０の態様のコンピュータプログラムにおいて、前記検出処理機能は、前記特定のユーザの前記状態情報及び前記時刻情報と、前記少なくとも一部のユーザの前記状態情報及び前記時刻情報との比較として、前記状態情報及び前記時刻情報に基づき、前記状態の発生確率、発生頻度分布及び発生間隔のうちの少なくとも一種類の履歴情報を取得することと、前記特定のユーザに対応する前記少なくとも一種類の履歴情報と、前記少なくとも一部のユーザに対応する前記少なくとも一種類の履歴情報とを比較することとを含むのが好ましい。
　本発明の第１２の態様によると、第１１の態様のコンピュータプログラムにおいて、前記状態の前記発生確率は、所定期間内における前記子供の夜泣きの発生確率であって、前記状態の前記発生頻度分布は、所定期間内における前記子供の最長の睡眠時間の開始時刻の頻度分布であって、前記状態の前記発生間隔は、所定期間内における前記子供の授乳間隔であるのが好ましい。
　本発明の第１３の態様によると、第１１の態様又は第１２の態様のコンピュータプログラムにおいて、前記情報生成処理機能は、前記特定のユーザの前記育児記録情報及び前記育児負担と、前記発生確率、前記発生頻度分布及び前記発生間隔の各々とに応じて、前記案内情報を生成することを含むのが好ましい。
　本発明の第１４の態様によると、第９の態様から第１３の態様までのいずれか一つのコンピュータプログラムにおいて、前記案内情報は、前記特定のユーザの健康状態に関する質問の情報を含み、前記情報取得処理機能は、前記特定のユーザの前記質問に対する回答の情報をさらに取得することを含み、前記検出処理機能は、前記回答に基づき前記健康状態をさらに検出することを含み、前記情報生成処理機能は、前記検出処理機能による前記健康状態の検出結果に応じて、前記特定のユーザ向けの前記健康状態に関する通知情報をさらに生成することを含むのが好ましい。 According to the first aspect of the present invention, the information providing apparatus includes at least the child-care record information of a specific user among the child-care record information including information indicating child-care records when a plurality of users raise children. The information acquisition processing unit to be acquired, the childcare record information of the specific user, and comparison information based on the childcare record information of at least some of the plurality of users A detection processing unit that detects a childcare burden generated by the user, and an information generation processing unit that generates guidance information to be provided to the specific user according to the childcare record information and the childcare burden of the specific user. .
According to a second aspect of the present invention, in the information providing apparatus according to the first aspect, the child-care record information includes state information relating to the state of the child and time information relating to the occurrence time of the state, and the detection process. The part detects the childcare burden by comparing the state information and the time information of the specific user with the comparison information based on the state information and the time information of the at least some users. Is preferred.
According to a third aspect of the present invention, in the information providing apparatus according to the second aspect, the detection processing unit includes the state information and time information of the specific user, and the state information of the at least some users. And at least one of the occurrence probability of the state, the occurrence frequency distribution of the state, and the occurrence interval of the state based on the state information and the time information as a comparison with the comparison information based on the time information The history information is acquired, and the at least one type of history information corresponding to the specific user is compared with the comparison information that is the at least one type of history information corresponding to the at least some users. preferable.
According to a fourth aspect of the present invention, in the information providing apparatus according to the third aspect, the occurrence probability of the state is an occurrence probability of the night crying of the child within a predetermined period, and the occurrence frequency distribution of the state Is a frequency distribution of the occurrence time of the sleep state of the child lasting the longest in a predetermined period, and the occurrence interval of the state is preferably the breast feeding interval of the child in the predetermined period.
According to a fifth aspect of the present invention, in the information providing apparatus according to the third aspect or the fourth aspect, the information generation processing unit includes the childcare record information and the childcare burden of the specific user, and the occurrence probability. Preferably, the guidance information is generated according to each of the occurrence frequency distribution and the occurrence interval.
According to a sixth aspect of the present invention, in the information providing device according to any one of the first aspect to the fifth aspect, the guidance information includes information on a question about the health condition of the specific user, The information acquisition processing unit further acquires information on an answer to the question of the specific user, the detection processing unit further detects the health condition based on the answer, and the information generation processing unit includes the detection process. It is preferable that notification information regarding the health condition for the specific user is further generated according to the detection result of the health condition by the unit.
According to the seventh aspect of the present invention, the information providing system includes any one of the information providing apparatus from the first aspect to the sixth aspect, and the child-care record information of the specific user is the screen input information, voice An input device that is input as at least one of input information, an image, temperature information, and biological information, and an output device that outputs the guidance information to the specific user through a screen or sound.
According to an eighth aspect of the present invention, in the information providing system according to the seventh aspect, the childcare record information of the plurality of users is acquired, and the comparison information based on the childcare record information of the at least some users It is preferable to further include an information processing apparatus that generates
According to a ninth aspect of the present invention, the computer program obtains childcare record information including information indicating childcare records when each of a plurality of users raises a child;
By comparing the childcare record information of a specific user among the plurality of users with the childcare record information of at least some of the plurality of users, the childcare burden caused to the specific user is reduced. A detection processing function to detect and an information generation processing function to generate guidance information to be provided to the specific user according to the childcare record information and the childcare burden of the specific user are provided for causing the computer to realize .
According to a tenth aspect of the present invention, in the computer program according to the ninth aspect, the computer program according to the ninth aspect includes state information relating to the state of the child and time information relating to the occurrence time of the state, wherein the detection processing function is the specific user. It is preferable to include detecting the childcare burden by comparing the status information and the time information of the user with the status information and the time information of the at least some users.
According to an eleventh aspect of the present invention, in the computer program according to the tenth aspect, the detection processing function includes the state information and time information of the specific user, the state information of the at least some users, and As a comparison with the time information, acquiring at least one type of history information among the occurrence probability, occurrence frequency distribution, and occurrence interval of the state based on the state information and the time information; Preferably, the method includes comparing the corresponding at least one type of history information with the at least one type of history information corresponding to the at least some users.
According to a twelfth aspect of the present invention, in the computer program according to the eleventh aspect, the occurrence probability of the state is an occurrence probability of the child's night crying within a predetermined period, and the occurrence frequency distribution of the state is The frequency distribution of the start time of the longest sleeping time of the child within a predetermined period, wherein the occurrence interval of the state is preferably the breast feeding interval of the child within the predetermined period.
According to a thirteenth aspect of the present invention, in the computer program according to the eleventh aspect or the twelfth aspect, the information generation processing function includes the childcare record information and the childcare burden of the specific user, the occurrence probability, Preferably, the method includes generating the guidance information according to each of the occurrence frequency distribution and the occurrence interval.
According to a fourteenth aspect of the present invention, in any one of the computer programs from the ninth aspect to the thirteenth aspect, the guidance information includes information on a question about the health condition of the specific user, and the information The acquisition processing function includes further acquiring information on an answer to the question of the specific user, and the detection processing function further includes detecting the health condition based on the answer, and the information generation processing function Preferably, the method further includes generating notification information related to the health condition for the specific user according to a detection result of the health condition by the detection processing function.
　本発明によれば、養育者自身が、育児負担の程度を自覚できるとともに、育児負担の程度が大きいときは、産後うつ病罹患を疑うことができるという効果が得られる。 According to the present invention, the caregiver himself / herself can be aware of the degree of childcare burden, and when the childcare burden is large, the effect of being able to suspect postpartum depression is obtained.
図１は、本発明の一実施の形態における情報提供サーバと情報入出力端末とを含む情報提供システムを示す図である。FIG. 1 is a diagram showing an information providing system including an information providing server and an information input / output terminal according to an embodiment of the present invention. 図２は、情報提供サーバのプロセッサによって取得される育児記録情報を例示する図である。FIG. 2 is a diagram illustrating childcare record information acquired by the processor of the information providing server. 図３は、所定の生後期間内における子供の夜泣きの発生確率を例示する図である。FIG. 3 is a diagram illustrating the probability of occurrence of a child's night crying within a predetermined postnatal period. 図４は、所定の生後期間内において最も長く持続した子供の睡眠状態の発生時刻の頻度分布を例示する図である。FIG. 4 is a diagram illustrating the frequency distribution of the occurrence time of the sleep state of the child lasting the longest in a predetermined postnatal period. 図５は、所定の生後期間内における子供への授乳間隔を例示する図である。FIG. 5 is a diagram illustrating a breast feeding interval to a child within a predetermined postnatal period. 図６は、ユーザに生じる育児負担の検出結果に応じて行われる案内情報出力処理を例示する図である。FIG. 6 is a diagram exemplifying guidance information output processing performed in accordance with the detection result of the childcare burden caused to the user. 図７は、案内情報出力を例示する図である。FIG. 7 is a diagram illustrating guidance information output. 図８は、案内情報出力を例示する図である。FIG. 8 is a diagram illustrating guidance information output. 図９は、案内情報出力を例示する図である。FIG. 9 is a diagram illustrating guidance information output. 図１０は、特定のユーザ向けの健康状態に関する質問の案内情報と、その質問に対する回答に基づくそのユーザ向けの健康状態に関する通知情報出力を例示する図である。FIG. 10 is a diagram exemplifying guidance information regarding a health condition for a specific user and notification information output regarding the health condition for the user based on an answer to the question. 図１１は、情報提供サーバで走行するコンピュータプログラムにより実行される処理内容を例示する図である。FIG. 11 is a diagram illustrating processing contents executed by a computer program running on the information providing server. 図１２は、情報入出力端末及び／又は情報提供サーバで走行するコンピュータプログラムの製品供給態様を例示する図である。FIG. 12 is a diagram illustrating a product supply aspect of a computer program that runs on an information input / output terminal and / or an information providing server. 図１３は、変形例５における情報提供システムを示す図である。FIG. 13 is a diagram illustrating an information providing system according to the fifth modification.
　本発明の一実施の形態における情報提供サーバ２０と情報入出力端末１０とを含む情報提供システム１を、図１から図１２を用いて説明する。 An information providing system 1 including an information providing server 20 and an information input / output terminal 10 according to an embodiment of the present invention will be described with reference to FIGS.
　図１は、情報提供システム１を示す図である。図１（ａ）において、情報提供システム１は、情報提供サーバ２０と情報入出力端末１０とを含み、情報提供サーバ２０と情報入出力端末１０とが通信ネットワーク３０を介して互いに接続されている。情報入出力端末１０は、例えば、パーソナルコンピュータ１０ａ、携帯電話機やタブレットコンピュータ等の携帯端末１０ｂ、及び／又はスマートスピーカ１０ｃであり、専用端末であっても汎用端末であってもよい。 FIG. 1 is a diagram showing an information providing system 1. In FIG. 1A, the information providing system 1 includes an information providing server 20 and an information input / output terminal 10, and the information providing server 20 and the information input / output terminal 10 are connected to each other via a communication network 30. . The information input / output terminal 10 is, for example, a personal computer 10a, a mobile terminal 10b such as a mobile phone or a tablet computer, and / or a smart speaker 10c, and may be a dedicated terminal or a general-purpose terminal.
　図１（ｂ）に示すように、情報入出力端末１０は、プロセッサ１１、メモリ１２、入力装置１３、出力装置１４及び通信モジュール１５を有する。プロセッサ１１が、メモリ１２に格納されているコンピュータプログラムを起動することによって、入力装置１３、出力装置１４及び通信モジュール１５の動作を制御する。入力装置１３は、例えばマウス、キーボード、タッチパネル及び／又はマイクロホンであって、画面入力機能及び／又は音声入力機能を有する。ユーザが画面入力機能及び／又は音声入力機能を利用することによって、画面入力情報及び／又は音声入力情報が、後述する育児記録情報として入力装置１３に入力される。出力装置１４は、例えばディスプレイ、タッチパネル及び／又はスピーカであって、画面出力機能及び／又は音声出力機能を有する。通信モジュール１５は、情報入出力端末１０と情報提供サーバ２０とが通信ネットワーク３０を介して互いに接続されるための、無線通信機能又は有線通信機能を有する。 As shown in FIG. 1B, the information input / output terminal 10 includes a processor 11, a memory 12, an input device 13, an output device 14, and a communication module 15. The processor 11 controls the operations of the input device 13, the output device 14, and the communication module 15 by starting a computer program stored in the memory 12. The input device 13 is, for example, a mouse, a keyboard, a touch panel, and / or a microphone, and has a screen input function and / or a voice input function. When the user uses the screen input function and / or the voice input function, the screen input information and / or the voice input information is input to the input device 13 as childcare record information described later. The output device 14 is, for example, a display, a touch panel, and / or a speaker, and has a screen output function and / or an audio output function. The communication module 15 has a wireless communication function or a wired communication function for connecting the information input / output terminal 10 and the information providing server 20 to each other via the communication network 30.
　図１（ｃ）に示すように、情報提供サーバ２０は、プロセッサ２１、メモリ２２、通信モジュール２３及び記憶装置２４を有する。プロセッサ２１が、メモリ２２に格納されているコンピュータプログラムを起動することによって、通信モジュール２３の動作、記憶装置２４への情報の書き込み、及び記憶装置２４からの情報の読み出しを制御するとともに、後述する情報取得処理部２１１、検出処理部２１２及び情報生成処理部２１３として機能する。通信モジュール２３は、情報提供サーバ２０と情報入出力端末１０とが通信ネットワーク３０を介して互いに接続されるための、無線通信機能又は有線通信機能を有する。プロセッサ２１は、取得した後述するユーザの育児記録情報を記憶装置２４に書き込むとともに、書き込まれたユーザの育児記録情報を記憶装置２４から読み出す。 As shown in FIG. 1C, the information providing server 20 includes a processor 21, a memory 22, a communication module 23, and a storage device 24. The processor 21 activates a computer program stored in the memory 22 to control the operation of the communication module 23, the writing of information to the storage device 24, and the reading of information from the storage device 24, and will be described later. It functions as an information acquisition processing unit 211, a detection processing unit 212, and an information generation processing unit 213. The communication module 23 has a wireless communication function or a wired communication function for connecting the information providing server 20 and the information input / output terminal 10 to each other via the communication network 30. The processor 21 writes acquired user childcare record information, which will be described later, into the storage device 24, and reads out the written user childcare record information from the storage device 24.
　情報提供サーバ２０と情報入出力端末１０とを含む情報提供システム１において、子供の養育者であるユーザは、情報入出力端末１０の入力装置１３を介して後述する育児記録情報を入力する。入力されたその育児記録情報は、情報入出力端末１０のプロセッサ１１によって取得された後、情報入出力端末１０の通信モジュール１５、通信ネットワーク３０、及び情報提供サーバ２０の通信モジュール２３を経由する通信を介し、情報提供サーバ２０のプロセッサ２１によって取得される。情報提供サーバ２０のプロセッサ２１は、情報入出力端末１０から取得した特定のユーザの育児記録情報を記憶装置２４に書き込むとともに、記憶装置２４に既に書き込まれている複数のユーザの育児記録情報のうち、一部又はすべてのユーザの育児記録情報を記憶装置２４から読み出す。 In the information providing system 1 including the information providing server 20 and the information input / output terminal 10, a user who is a child care worker inputs childcare record information to be described later via the input device 13 of the information input / output terminal 10. The input childcare record information is acquired by the processor 11 of the information input / output terminal 10 and then communicated via the communication module 15 of the information input / output terminal 10, the communication network 30, and the communication module 23 of the information providing server 20. Via the processor 21 of the information providing server 20. The processor 21 of the information providing server 20 writes the child-care record information of a specific user acquired from the information input / output terminal 10 to the storage device 24, and among the child-care record information of a plurality of users already written in the storage device 24. The childcare record information of some or all users is read from the storage device 24.
　情報提供サーバ２０のプロセッサ２１は、後述するように、情報入出力端末１０から取得した特定のユーザの育児記録情報と、記憶装置２４から読み出した一部又はすべてのユーザの育児記録情報に基づく比較用情報（後述）とを比較することによって、その特定のユーザに生じる育児負担を検出する。情報提供サーバ２０のプロセッサ２１は、後述するように、情報入出力端末１０から取得したその特定のユーザの育児記録情報と、検出したその特定のユーザに生じる育児負担とに応じて、その特定のユーザへ提供する案内情報を生成する。 As will be described later, the processor 21 of the information providing server 20 compares the child-care record information of a specific user acquired from the information input / output terminal 10 with the child-care record information of some or all users read from the storage device 24. The childcare burden caused to the specific user is detected by comparing the business information (described later). As will be described later, the processor 21 of the information providing server 20 determines the specific user's childcare record information acquired from the information input / output terminal 10 and the specific childcare burden detected by the specific user. Guidance information to be provided to the user is generated.
　情報提供サーバ２０のプロセッサ２１によって生成されたその案内情報は、情報提供サーバ２０の通信モジュール２３、通信ネットワーク３０、及び情報入出力端末１０の通信モジュール１５を経由する通信を介し、情報入出力端末１０のプロセッサ１１によって取得される。情報入出力端末１０のプロセッサ１１は、取得した案内情報を出力装置１４に出力させるよう、出力装置１４を制御する。こうして、情報入出力端末１０の入力装置１３を介して育児記録情報を入力した特定のユーザは、出力装置１４に出力された案内情報を得ることができる。 The guidance information generated by the processor 21 of the information providing server 20 is transmitted to the information input / output terminal via communication via the communication module 23 of the information providing server 20, the communication network 30, and the communication module 15 of the information input / output terminal 10. 10 processors 11. The processor 11 of the information input / output terminal 10 controls the output device 14 to cause the output device 14 to output the obtained guidance information. Thus, the specific user who has input the child-care record information through the input device 13 of the information input / output terminal 10 can obtain the guidance information output to the output device 14.
　図２は、情報提供サーバ２０のプロセッサ２１によって、情報入出力端末１０から取得される、特定のユーザの育児記録情報５０の一部を例示する図である。育児記録情報５０は、その特定のユーザの子供の状態に関する状態情報として、例えば子供が夜泣きをしている状態の発生を表す情報、子供が睡眠している状態の発生を表す情報、及び子供が授乳されている状態の発生を表す情報を含む。また、育児記録情報５０は、それら各種状態発生の開始時刻及び終了時刻の情報をさらに含む。育児記録情報５０に基づいて、子供の夜泣きの発生時刻に関する情報、最も長く持続した子供の睡眠状態の発生時刻に関する情報、子供への授乳の発生間隔に関する情報を取得することができる。図２に示す育児記録情報５０の例において、その特定のユーザは、育児記録情報５０のＡ列に示されるように、ユーザＩＤ＝Ｘとして管理されている。以下、その特定のユーザのことをユーザＸと呼ぶ。図２に示す育児記録情報５０の例では、４月１日０８：００から翌日の４月２日０８：００までの１日間を所定期間とし、その所定期間の繰り返しによって、日々の育児記録情報が管理される。 FIG. 2 is a diagram illustrating a part of childcare record information 50 of a specific user acquired from the information input / output terminal 10 by the processor 21 of the information providing server 20. The child-care record information 50 includes, for example, information indicating the occurrence of a state in which the child is crying at night, information indicating the occurrence of a state in which the child is sleeping, Contains information representing the occurrence of a lactating condition. In addition, the child-care record information 50 further includes information on the start time and end time of occurrence of these various states. Based on the childcare record information 50, information on the occurrence time of the child's night crying, information on the occurrence time of the longest lasting sleep state of the child, and information on the occurrence interval of breast feeding to the child can be acquired. In the example of the childcare record information 50 shown in FIG. 2, the specific user is managed as user ID = X as shown in the A column of the childcare record information 50. Hereinafter, the specific user is referred to as user X. In the example of the childcare record information 50 shown in FIG. 2, one day from April 1st, 08:00 to April 2nd, 08:00 is defined as a predetermined period. Is managed.
　日々の育児記録情報には、図２に示す育児記録情報５０のＢ列に管理される子供の状態に関する状態情報と、Ｃ列及びＤ列に管理される、Ｂ列に管理される子供の状態が発生した時刻に関する時刻情報とが含まれる。図２に示す育児記録情報５０に基づき、後述するように、所定期間内に子供が夜泣きをしている状態の発生確率、所定期間内において最も長く持続して子供が睡眠している状態の発生時刻の頻度分布、及び所定期間内における子供が授乳されている状態の発生間隔といった三種類の履歴情報を取得することができる。 The daily childcare record information includes state information relating to the state of the child managed in the B column of the childcare record information 50 shown in FIG. 2, and the child state managed in the C column and the D column and managed in the B column. And time information related to the time when the error occurred. Based on the child-care record information 50 shown in FIG. 2, as will be described later, the occurrence probability of the state where the child is crying at night within the predetermined period, the occurrence of the state where the child is sleeping most long in the predetermined period Three types of history information, such as the time frequency distribution and the occurrence interval of the state in which the child is breastfeeding within a predetermined period, can be acquired.
　図２に示す育児記録情報５０のＢ列に子供の夜泣き状態が管理されている行のＣ列には、夜泣きの開始時刻、すなわち夜泣きの発生時刻が管理され、同一行のＤ列には、夜泣きの終了時刻が管理されている。子供を養育するユーザＸは、その子供が後述する夜間帯に該当する１８：００から翌日０８：００までの時間帯において泣き始めたとき、情報入出力端末１０の入力装置１３を介して、子供の夜泣きが発生したことに関する状態情報と、夜泣きが発生した時刻（開始時刻）に関する時刻情報を入力する。ユーザＸは、その子供の夜泣きが終了したとき、夜泣きが終了したことに関する状態情報と、その終了時刻に関する時刻情報を入力する。それらの状態情報と時刻情報とを含む育児記録情報は、上述したように情報提供サーバ２０のプロセッサ２１によって取得される。なお、ユーザＸによって子供の夜泣きが発生した時刻及び／又は終了した時刻に関する時刻情報が入力されなかったときは、情報入出力端末１０のプロセッサ１１が、ユーザＸによって子供の夜泣きが発生したことに関する状態情報及び／又は終了したことに関する状態情報が入力された時刻を検出することによって時刻情報を生成してもよい。こうして情報提供サーバ２０のプロセッサ２１によって取得された育児記録情報に基づき、図２に示す育児記録情報５０のＣ列には、４月１日０８：００から４月２日０８：００までの１日間における、ユーザＸが養育する子供の夜泣き発生時刻として、２０：１５，０２：４０，０４：２０及び０５：４５という４回の時刻情報が管理されている。 In the column C of the row in which the child's night crying state is managed in the B column of the child care record information 50 shown in FIG. 2, the start time of the night crying, that is, the occurrence time of the night crying is managed, and the D column of the same row contains The end time of night crying is managed. When the user X who raises a child starts crying in the time zone from 18:00 to 08:00 on the following day corresponding to the nighttime zone described later, the user X sends the child via the input device 13 of the information input / output terminal 10. State information regarding the occurrence of night crying and time information regarding the time (starting time) when night crying occurred. When the child's night crying ends, the user X inputs state information regarding the end of night crying and time information regarding the end time. The childcare record information including the state information and time information is acquired by the processor 21 of the information providing server 20 as described above. In addition, when the time information regarding the time when the child's night crying and / or the end time is not input by the user X, the processor 11 of the information input / output terminal 10 relates to the occurrence of the child's night crying by the user X. The time information may be generated by detecting the time when the state information and / or the state information related to the completion is input. Based on the childcare record information acquired by the processor 21 of the information providing server 20 in this manner, the column C of the childcare record information 50 shown in FIG. 2 includes 1 from 08:00 on April 1 to 08:00 on April 2. The time information of four times of 20:15, 02:40, 04:20 and 05:45 is managed as the night crying occurrence time of the child raised by the user X in the day.
　図２に示す育児記録情報５０のＢ列に子供の睡眠状態が管理されている行のＣ列には、子供の睡眠状態の開始時刻、すなわち入眠時刻が管理されている。子供を養育するユーザＸは、その子供が入眠したことに気づいたとき、情報入出力端末１０の入力装置１３を介して、子供の睡眠状態が開始したことに関する状態情報と、その子供の入眠時刻に関する時刻情報を入力する。その状態情報と時刻情報とを含む育児記録情報は、上述したように情報提供サーバ２０のプロセッサ２１によって取得される。なお、ユーザＸによって子供の入眠時刻に関する時刻情報が入力されなかったときは、情報入出力端末１０のプロセッサ１１が、ユーザＸによって子供の睡眠状態が開始したことに関する状態情報が入力された時刻を検出することによって時刻情報を生成してもよい。こうして情報提供サーバ２０のプロセッサ２１によって取得された育児記録情報に基づき、図２に示す育児記録情報５０のＣ列には、４月１日０８：００から４月２日０８：００までの１日間における、ユーザＸが養育する子供の入眠時刻として、１０：２５，１４：５５，１８：０５，２０：３５，０２：５０及び０４：４０という６回の時刻情報が管理されている。これら６回の入眠時刻のうちのいずれかにおいて、ユーザＸの子供の睡眠状態が最も長く持続することとなるが、その入眠時刻を決定するには、その子供の覚醒時刻の情報が必要となる。 The child sleep state start time, that is, the sleep time is managed in the column C of the row in which the child sleep state is managed in the column B of the child-care record information 50 shown in FIG. When the user X who raises the child notices that the child has fallen asleep, the user's sleep state is displayed via the input device 13 of the information input / output terminal 10 and the child's sleep time. Enter time information about. The childcare record information including the status information and time information is acquired by the processor 21 of the information providing server 20 as described above. When the time information related to the child's sleep time is not input by the user X, the processor 11 of the information input / output terminal 10 sets the time when the state information regarding the start of the child's sleep state is input by the user X. Time information may be generated by detection. Based on the childcare record information acquired by the processor 21 of the information providing server 20 in this manner, the column C of the childcare record information 50 shown in FIG. 2 includes 1 from 08:00 on April 1 to 08:00 on April 2. Six times of time information of 10:25, 14:55, 18:05, 20:35, 02:50, and 04:40 are managed as the sleep time of the child raised by the user X in the day. In any one of these six sleep times, the sleep state of the user X's child lasts the longest, but in order to determine the sleep time, information on the child's awakening time is required. .
　図２に示す育児記録情報５０のＢ列に子供の睡眠状態が管理されている行のＤ列には、子供の睡眠状態からの覚醒時刻が管理されている。子供を養育するユーザＸは、睡眠状態にあったその子供が覚醒したことに気づいたとき、情報入出力端末１０の入力装置１３を介して、子供の睡眠状態が終了したことに関する状態情報と、その睡眠状態の終了時刻、すなわちその子供の覚醒時刻に関する時刻情報を入力する。その状態情報と時刻情報とを含む育児記録情報は、上述したように情報提供サーバ２０のプロセッサ２１によって取得される。なお、ユーザＸによって子供の覚醒時刻に関する時刻情報が入力されなかったときは、情報入出力端末１０のプロセッサ１１が、ユーザＸによって子供の睡眠状態が終了したことに関する状態情報が入力された時刻を検出することによって時刻情報を生成してもよい。こうして情報提供サーバ２０のプロセッサ２１によって取得された育児記録情報に基づき、図２に示す育児記録情報５０のＤ列には、４月１日０８：００から４月２日０８：００までの１日間における、ユーザＸが養育する子供の覚醒時刻として、１１：４５，１６：１０，２０：１５，０２：４０，０４：２０及び０５：４５という６回の時刻情報が管理されている。これら６回の覚醒時刻の情報と上述した６回の入眠時刻の情報とに基づき、４月１日０８：００から４月２日０８：００までの１日間において最も長く持続したその子供の睡眠状態の発生時刻（開始時刻）は、２０：３５であると決定することができる。 In the D column of the row in which the sleep state of the child is managed in the B column of the childcare record information 50 shown in FIG. 2, the awakening time from the sleep state of the child is managed. When the user X who raises the child notices that the child who was in the sleep state has awakened, via the input device 13 of the information input / output terminal 10, state information relating to the end of the sleep state of the child, Time information related to the end time of the sleep state, that is, the awakening time of the child is input. The childcare record information including the status information and time information is acquired by the processor 21 of the information providing server 20 as described above. When time information related to the child's awakening time is not input by the user X, the processor 11 of the information input / output terminal 10 sets the time when the state information regarding the end of the child's sleep state is input by the user X. Time information may be generated by detection. Based on the child care record information acquired by the processor 21 of the information providing server 20 in this manner, the column D of the child care record information 50 shown in FIG. 2 includes 1 from 08:00 on April 1 to 08:00 on April 2. Six times of time information of 11:45, 16:10, 20:15, 02:40, 04:20, and 05:45 are managed as the awakening time of the child raised by the user X in the day. Based on the information of these six awakening times and the information of the six sleep times described above, the child's sleep lasting the longest in one day from April 1st 08:00 to April 2nd 08:00 The state occurrence time (start time) can be determined to be 20:35.
　図２に示す育児記録情報５０のＢ列に子供への授乳状態が管理されている行のＣ列には、授乳時刻（授乳の開始時刻）が管理され、同一行のＤ列には、授乳の終了時刻が管理されている。子供を養育するユーザＸは、その子供への授乳が発生したとき、情報入出力端末１０の入力装置１３を介して、子供への授乳が発生したことに関する状態情報と、授乳が発生した時刻、すなわち授乳時刻に関する時刻情報を入力する。ユーザＸは、その子供への授乳が終了したとき、授乳が終了したことに関する状態情報と、その終了時刻に関する時刻情報を入力する。それらの状態情報と時刻情報とを含む育児記録情報は、上述したように情報提供サーバ２０のプロセッサ２１によって取得される。なお、ユーザＸによって子供への授乳が発生した時刻及び／又は終了した時刻に関する時刻情報が入力されなかったときは、情報入出力端末１０のプロセッサ１１が、ユーザＸによって子供への授乳が発生したことに関する状態情報及び／又は終了したことに関する状態情報が入力された時刻を検出することによって時刻情報を生成してもよい。こうして情報提供サーバ２０のプロセッサ２１によって取得された育児記録情報に基づき、図２に示す育児記録情報５０のＣ列には、４月１日０８：００から４月２日０８：００までの１日間における、ユーザＸが養育する子供への授乳時刻として、０８：０５，０９：２０，１４：３０，１６：１５，１８：００，０２：４５及び０７：５５という７回の時刻情報が管理されている。 In column B of the row in which child feeding status is managed in column B of child care record information 50 shown in FIG. 2, the feeding time (feeding start time) is managed, and in column D of the same row, breast feeding is performed. The end time of is managed. The user X who raises a child, when breast feeding to the child occurs, via the input device 13 of the information input / output terminal 10, status information regarding the occurrence of breast feeding to the child, the time when breast feeding occurred, That is, time information related to breast feeding time is input. The user X inputs status information regarding the end of breastfeeding and time information regarding the end time when breastfeeding to the child is terminated. The childcare record information including the state information and time information is acquired by the processor 21 of the information providing server 20 as described above. In addition, when the time information regarding the time when the baby feeding to the child occurred by the user X and / or the time when the child breast feeding is not input, the processor 11 of the information input / output terminal 10 causes the baby feeding to the child by the user X. The time information may be generated by detecting the time when the state information related to the situation and / or the status information related to the completion is input. Based on the childcare record information acquired by the processor 21 of the information providing server 20 in this manner, the column C of the childcare record information 50 shown in FIG. 2 includes 1 from 08:00 on April 1 to 08:00 on April 2. Seven times of time information such as 08:05, 09:20, 14:30, 16:15, 18:00, 02:45, and 07:55 are managed as feeding times for the child raised by the user X during the day. Has been.
　図３は、所定の生後期間内における子供の夜泣きの発生確率を例示する図である。図３（ａ）は、ユーザＸが養育する子供が生後８週を経過した時点において、生後５週から８週までの合計２８日間のうち、その子供の夜泣きが、いずれの時間において発生したかをカウントした結果等を例示している。図３（ｂ）において、折れ線グラフ６１は、生後２週から４週までの子供を養育する複数のユーザの育児記録情報に基づく比較用情報であり、１日のうちの夜間帯に該当する１８：００から翌日の０８：００までの時間帯での時刻経過につれて、子供の夜泣きの発生確率の平均値がどのように変化するかを例示している。同様に、折れ線グラフ６２，６３，６４，６５及び６６は、それぞれ、生後５週から８週までの子供、生後９週から１２週までの子供、生後１３週から１６週までの子供、生後１７週から２０週までの子供及び生後２１週から２４週までの子供の夜泣きの発生確率の平均値の時刻経過に応じた変化を例示している。なお、１８：００から翌日の０８：００までの時間帯が夜間帯に該当するとは限らず、他の時間帯が夜間帯に該当してもよい。 FIG. 3 is a diagram illustrating the occurrence probability of a child's night crying within a predetermined postnatal period. FIG. 3 (a) shows at which time the child nurtured by the user X occurred at night when the child cryed out of the total of 28 days from 5 weeks to 8 weeks after the birth. The results of counting are shown as an example. In FIG.3 (b), the line graph 61 is the information for comparison based on the childcare record information of the some user who raises the child from the 2nd week to the 4th week after birth, and corresponds to the night zone of one day. It illustrates how the average value of the occurrence probability of a child's night cry changes with the passage of time in the time zone from 0:00 to 08:00 on the next day. Similarly, line graphs 62, 63, 64, 65 and 66 respectively show children from 5 to 8 weeks of age, children from 9 to 12 weeks of age, children from 13 to 16 weeks of age, and children of 17 years of age. The change according to the time passage of the average value of the occurrence probability of the night crying of the child from the week to the 20th week and the child from the 21st week to the 24th week is illustrated. Note that the time zone from 18:00 to 08:00 the next day does not necessarily correspond to the night zone, and other time zones may correspond to the night zone.
　図３（ａ）によると、１８：００から２０：００までの２時間に夜泣きが発生した日数、すなわち夜泣きの発生日数が、２８日間のうちの１２日であるため、１８：００から２０：００までの時間におけるその子供の夜泣きの発生確率は（１２／２８）×１００≒４３％と算出される。記憶装置２４に既に書き込まれている複数のユーザの育児記録情報のうち、生後５週から８週までの子供を養育する複数のユーザの育児記録情報に基づいて算出される、１８：００から２０：００までの２時間における子供の夜泣きの発生確率の平均値が４３％であったとする（図３（ｂ）の折れ線グラフ６２参照）。その場合、この２時間におけるユーザＸの子供の夜泣きの発生確率とその平均値との差が、その平均値と比較してほぼゼロとなるため、「（±０％）」と付加的に記載されている。 According to FIG. 3A, since the number of days in which night crying occurred in 2 hours from 18:00 to 20:00, that is, the number of days in which night crying occurred was 12 out of 28 days, 18:00 to 20: The probability of the child crying at night until 00 is calculated as (12/28) × 100≈43%. Calculated based on the child-care record information of a plurality of users who raise children from 5 to 8 weeks of age among the child-care record information of a plurality of users already written in the storage device 24, from 18:00 to 20 It is assumed that the average value of the occurrence probability of a child's night crying in 2 hours until 0:00 is 43% (see the line graph 62 in FIG. 3B). In that case, since the difference between the probability of night crying of the user X's child in the two hours and the average value thereof is almost zero compared to the average value, “(± 0%)” is additionally described. Has been.
　図３（ａ）によると、２０：００から２２：００までの２時間における夜泣きの発生日数が２８日間のうちの１４日であるため、その２時間におけるその子供の夜泣きの発生確率は（１４／２８）×１００＝５０％と算出される。記憶装置２４に既に書き込まれている生後５週から８週までの子供を養育する複数のユーザの育児記録情報に基づいて算出される、２０：００から２２：００までの２時間における子供の夜泣きの発生確率の平均値が４７％であったとする（図３（ｂ）の折れ線グラフ６２参照）。その場合、この２時間におけるユーザＸの子供の夜泣きの発生確率とその平均値との差３％が、その平均値と比較して、（３／４７）×１００＝６％多いため、「（↑６％）」と付加的に記載されている。 According to FIG. 3A, since the occurrence days of night crying in 2 hours from 20:00 to 22:00 are 14 out of 28 days, the probability of occurrence of night crying of the child in the 2 hours is (14 / 28) × 100 = 50%. Child's night crying in 2 hours from 20:00 to 22:00 calculated based on the childcare record information of a plurality of users who raise children from 5 to 8 weeks of age already written in the storage device 24 It is assumed that the average value of the occurrence probability is 47% (see the line graph 62 in FIG. 3B). In that case, since the difference 3% between the occurrence probability of the night crying of the user X of the user X in the two hours and the average value thereof is (3/47) × 100 = 6% more than the average value, “( ↑ 6%) ”.
　図３（ａ）によると、２２：００から２４：００までの２時間における夜泣きの発生日数が２８日間のうちの１２日であるため、その２時間におけるその子供の夜泣きの発生確率は（１２／２８）×１００≒４３％と算出される。記憶装置２４に既に書き込まれている生後５週から８週までの子供を養育する複数のユーザの育児記録情報に基づいて算出される、２２：００から２４：００までの２時間における子供の夜泣きの発生確率の平均値が３８％であったとする（図３（ｂ）の折れ線グラフ６２参照）。その場合、この２時間におけるユーザＸの子供の夜泣きの発生確率とその平均値との差５％が、その平均値と比較して、（５／３８）×１００＝１３％高いため、「（↑１３％）」と付加的に記載されている。 According to FIG. 3A, since the occurrence days of night crying in 2 hours from 22:00 to 24:00 are 12 out of 28 days, the probability of occurrence of night crying of the child in the 2 hours is (12 / 28) × 100≈43%. Child's crying at night for 2 hours from 22:00 to 24:00 calculated based on childcare record information of a plurality of users who raise children from 5 to 8 weeks of age already written in the storage device 24 Assume that the average value of the occurrence probability is 38% (see the line graph 62 in FIG. 3B). In that case, since the difference 5% between the occurrence probability of the night cry of the child of the user X in the two hours and the average value thereof is (5/38) × 100 = 13% higher than the average value, “( ↑ 13%) ”.
　同様にして、図３（ａ）は、００：００から０２：００までの２時間における夜泣きの発生日数が１０日、その２時間におけるその子供の夜泣きの発生確率が３６％、その２時間における生後５週から８週までの子供の夜泣きの発生確率の平均値が３０％であることを示している（図３（ｂ）の折れ線グラフ６２参照）。また、その２時間におけるユーザＸの子供の夜泣きの発生確率とその平均値との差６％は、その平均値と比較して２０％高い。 Similarly, FIG. 3A shows that the number of night crying occurrences in 2 hours from 00:00 to 02:00 is 10 days, the child's night crying occurrence probability in 2 hours is 36%, and in that 2 hours It shows that the average value of the probability of night crying for children from 5 to 8 weeks of age is 30% (see the line graph 62 in FIG. 3B). In addition, the difference between the average value and the probability of night crying of the user X of the user X in the two hours is 6% higher than the average value.
　図３（ａ）は、０２：００から０４：００までの２時間における夜泣きの発生日数が１１日、その２時間におけるその子供の夜泣きの発生確率が３９％、その２時間における生後５週から８週までの子供の夜泣きの発生確率の平均値が３２％であることを示している（図３（ｂ）の折れ線グラフ６２参照）。また、その２時間におけるユーザＸの子供の夜泣きの発生確率とその平均値との差７％は、その平均値と比較して２２％高い。 FIG. 3 (a) shows that the number of days of night crying during the 2 hours from 02:00 to 04:00 is 11 days, the probability of the night crying of the child during the 2 hours is 39%, from the 5th week after the birth of the 2 hours It shows that the average value of the probability of night crying for children up to 8 weeks is 32% (see the line graph 62 in FIG. 3B). Further, the difference between the average value of the occurrence probability of the night cry of the child of the user X in the two hours and 7% is 22% higher than the average value.
　図３（ａ）は、０４：００から０６：００までの２時間における夜泣きの発生日数が１２日、その２時間におけるその子供の夜泣きの発生確率が４３％、その２時間における生後５週から８週までの子供の夜泣きの発生確率の平均値が３５％であることを示している（図３（ｂ）の折れ線グラフ６２参照）。また、その２時間におけるユーザＸの子供の夜泣きの発生確率とその平均値との差８％は、その平均値と比較して２３％高い。 FIG. 3 (a) shows that the number of days of night crying during the 2 hours from 04:00 to 06:00 is 12 days, the probability of the child crying during the 2 hours is 43%, and from the 5th week after the birth for 2 hours. It shows that the average value of the probability of night crying for children up to 8 weeks is 35% (see the line graph 62 in FIG. 3B). Further, the difference between the average value and the probability of the night crying of the user X of the user X during the two hours is 8% higher than the average value.
　図３（ａ）は、０６：００から０８：００までの２時間における夜泣きの発生日数が１３日、その２時間におけるその子供の夜泣きの発生確率が４６％、その２時間における生後５週から８週までの子供の夜泣きの発生確率の平均値が３７％であることを示している（図３（ｂ）の折れ線グラフ６２参照）。また、その２時間におけるユーザＸの子供の夜泣きの発生確率とその平均値との差９％は、その平均値と比較して２４％高い。特に、００：００から０８：００までの時間において、生後８週を経過したユーザＸの子供の夜泣きの発生確率は、生後５週から８週までの子供の夜泣きの発生確率の平均値よりも２０％以上高い値で推移していることが分かる。生後５週から８週までの合計２８日の期間内におけるユーザＸの子供の夜泣きの発生確率に関する履歴情報と、生後５週から８週までの他ユーザの子供の夜泣きの発生確率に関する履歴情報に基づく比較用情報との比較に基づいて検出される育児負担についての説明、及びその検出された育児負担とに応じて生成されるユーザＸへの案内情報についての説明は、後述する。 FIG. 3 (a) shows that the number of days of night crying during 2 hours from 06:00 to 08:00 is 13 days, the probability of occurrence of night crying of the child at 2 hours is 46%, and from the 5th week of birth at that 2 hours It shows that the average value of the probability of night crying of children up to 8 weeks is 37% (see the line graph 62 in FIG. 3B). Also, the 9% difference between the probability of night crying of the user X's child during the two hours and the average value thereof is 24% higher than the average value. In particular, in the time from 00:00 to 08:00, the probability of night crying of the child of the user X who has passed 8 weeks is more than the average value of the probability of night crying of the child from 5 weeks to 8 weeks after birth. It can be seen that the value is higher by 20% or more. History information regarding the occurrence probability of night crying of the child of the user X within the total period of 28 days from the fifth week to the eighth week, and historical information regarding the occurrence probability of the child crying of another user from the fifth week to the eighth week after the birth The explanation of the childcare burden detected based on the comparison with the comparison information based on the information and the guidance information to the user X generated according to the detected childcare burden will be described later.
　図４は、所定の生後期間内において最も長く持続した子供の睡眠状態の発生時刻の頻度分布を例示する図である。図４（ａ）は、ユーザＸが養育する子供が生後１６週を経過した時点において、生後１３週から１６週までの合計２８日間のうち、その子供の最も長く持続した睡眠状態が、１日間のうちのいずれの時間において発生したかをカウントした結果等を例示している。図４（ｂ）において、折れ線グラフ７１は、生後２週から４週までの子供を養育する複数のユーザの育児記録情報に基づく比較用情報であり、１日間のうちで、最も長く持続した子供の睡眠状態が発生した時刻の発生頻度の平均値がどのように分布するかを例示している。同様に、折れ線グラフ７２，７３，７４，７５及び７６は、それぞれ、生後５週から８週までの子供、生後９週から１２週までの子供、生後１３週から１６週までの子供、生後１７週から２０週までの子供及び生後２１週から２４週までの子供の、最も長く持続した睡眠状態が発生した時刻の発生頻度の平均値の分布を例示している。 FIG. 4 is a diagram illustrating the frequency distribution of the occurrence time of the sleep state of the child lasting the longest in a predetermined postnatal period. FIG. 4 (a) shows that when a child raised by user X has passed 16 weeks of age, the longest lasting sleep state of the child from the 13th to 16th week of birth is 1 day. The result etc. which counted what time it generate | occur | produced among these are illustrated. In FIG.4 (b), the line graph 71 is the information for comparison based on the childcare record information of the some user who raises the child from the 2nd week to the 4th week, and the child lasted the longest in one day It exemplifies how the average value of the occurrence frequency at the time when the sleep state occurs is distributed. Similarly, line graphs 72, 73, 74, 75 and 76 are respectively shown for children 5 to 8 weeks old, children 9 to 12 weeks old, children 13 to 16 weeks old and 17 children 17 years old. The distribution of the average value of the occurrence frequency of the time when the longest lasting sleep state occurred for the child from the week to the 20th week and the child from the 21st week to the 24th week is illustrated.
　図４（ａ）によると、１日間のうちで、最も長く持続した子供の睡眠状態、すなわちユーザＸの子供の最長睡眠が０８：００から１０：００までの２時間に発生した日数は、２８日間のうちの０日である。したがって、この２時間におけるその子供の最長睡眠の発生頻度は（０／２８）×１００＝０％と算出される。記憶装置２４に既に書き込まれている複数のユーザの育児記録情報のうち、生後１３週から１６週までの子供を養育する複数のユーザの育児記録情報に基づいて算出される、０８：００から１０：００までの２時間における子供の最長睡眠の発生頻度の平均値は、０．１％である（図４（ｂ）の折れ線グラフ７４参照）。０８：００から１０：００までの２時間における、生後１６週を経過したユーザＸの子供の最長睡眠の発生頻度０％と、生後１３週から１６週までの子供の最長睡眠の発生頻度の平均値０．１％との偏差Ｄ４ａは、｜０－０．１｜＝０．１である。 According to FIG. 4A, the longest lasting sleep state of the child in one day, that is, the number of days in which the longest sleep of the user X's child occurred in 2 hours from 08:00 to 10:00 is 28 Day 0 of the day. Therefore, the occurrence frequency of the longest sleep of the child in the two hours is calculated as (0/28) × 100 = 0%. From 08:00 to 10 calculated based on the child-care record information of a plurality of users who raise a child from the 13th to the 16th week of the child among the child-care record information of a plurality of users already written in the storage device 24 The average value of the occurrence frequency of the longest sleep of the child in 2 hours up to 0:00 is 0.1% (see the line graph 74 in FIG. 4B). Occurrence frequency 0% of the longest sleep of the child of the user X who passed 16 weeks of age in 2 hours from 08:00 to 10:00, and the average occurrence frequency of the longest sleep of the child from 13 weeks to 16 weeks of age The deviation D4a from the value 0.1% is | 0−0.1 | = 0.1.
　図４（ａ）によると、１日間のうちで、ユーザＸの子供の最長睡眠が１０：００から１２：００までの２時間に発生した日数は、２８日間のうちの１日である。したがって、この２時間におけるその子供の最長睡眠の発生頻度は（１／２８）×１００≒３．６％と算出される。記憶装置２４に既に書き込まれている生後１３週から１６週までの子供を養育する複数のユーザの育児記録情報に基づいて算出される、１０：００から１２：００までの２時間における子供の最長睡眠の発生頻度の平均値は、１．９％である（図４（ｂ）の折れ線グラフ７４参照）。１０：００から１２：００までの２時間における、生後１６週を経過したユーザＸの子供の最長睡眠の発生頻度３．６％と、生後１３週から１６週までの子供の最長睡眠の発生頻度の平均値１．９％との偏差Ｄ４ｂは、｜３．６－１．９｜＝１．７である。 According to FIG. 4A, the number of days in which the longest sleep of the child of the user X occurred in 2 hours from 10:00 to 12:00 in one day is one day in 28 days. Therefore, the occurrence frequency of the longest sleep of the child in the two hours is calculated as (1/28) × 100≈3.6%. The longest of the children in 2 hours from 10:00 to 12:00 calculated based on the child-care record information of a plurality of users who are raising children from the 13th to 16th weeks of age already written in the storage device 24 The average value of the occurrence frequency of sleep is 1.9% (see the line graph 74 in FIG. 4B). Frequency of occurrence of the longest sleep of the child of the user X who passed 16 weeks of age in 2 hours from 10:00 to 12:00 and the frequency of occurrence of the longest sleep of the child from 13 weeks to 16 weeks of age Deviation D4b from the average value of 1.9% is | 3.6-1.9 | = 1.7.
　同様にして、図４（ａ）は、１２：００から１４：００までの２時間における子供の最長睡眠の発生日数が２日、その２時間におけるその子供の最長睡眠の発生頻度が７．１％、その２時間における生後１３週から１６週までの子供の最長睡眠の発生頻度の平均値が１．８％であることを示している（図４（ｂ）の折れ線グラフ７４参照）。１２：００から１４：００までの２時間における、生後１６週を経過したユーザＸの子供の最長睡眠の発生頻度７．１％と、生後１３週から１６週までの子供の最長睡眠の発生頻度の平均値１．８％との偏差Ｄ４ｃは、｜７．１－１．８｜＝５．３である。 Similarly, FIG. 4 (a) shows that the occurrence of the longest sleep of the child in 2 hours from 12:00 to 14:00 is 2 days, and the occurrence frequency of the longest sleep of the child in 2 hours is 7.1. It shows that the average value of the frequency of the longest sleep of the child from the 13th to 16th week after birth in 2 hours is 1.8% (see the line graph 74 in FIG. 4B). The occurrence frequency of the longest sleep of the child of the user X who passed 16 weeks after birth for 2 hours from 12:00 to 14:00 7.1%, and the occurrence frequency of the longest sleep of the child from 13 weeks to 16 weeks after birth The deviation D4c from the average value of 1.8% is | 7.1-1.8 | = 5.3.
　図４（ａ）は、１４：００から１６：００までの２時間における子供の最長睡眠の発生日数が２日、その２時間におけるその子供の最長睡眠の発生頻度が７．１％、その２時間における生後１３週から１６週までの子供の最長睡眠の発生頻度の平均値が３．０％であることを示している（図４（ｂ）の折れ線グラフ７４参照）。１４：００から１６：００までの２時間における、生後１６週を経過したユーザＸの子供の最長睡眠の発生頻度７．１％と、生後１３週から１６週までの子供の最長睡眠の発生頻度の平均値３．０％との偏差Ｄ４ｄは、｜７．１－３．０｜＝４．１である。 FIG. 4 (a) shows that the number of occurrences of the longest sleep of the child in 2 hours from 14:00 to 16:00 is 2 days, the frequency of occurrence of the longest sleep of the child in 2 hours is 7.1%, 2 It shows that the average value of the occurrence frequency of the longest sleep of the child from the 13th to 16th week in the time is 3.0% (see the line graph 74 in FIG. 4B). Occurrence frequency of the longest sleep of the child of the user X who passed 16 weeks after birth for 2 hours from 14:00 to 16:00 7.1%, and the occurrence frequency of the longest sleep of the child from 13 weeks to 16 weeks after birth The deviation D4d from the average value of 3.0% is | 7.1-3.0 | = 4.1.
　図４（ａ）は、１６：００から１８：００までの２時間における子供の最長睡眠の発生日数が２日、その２時間におけるその子供の最長睡眠の発生頻度が７．１％、その２時間における生後１３週から１６週までの子供の最長睡眠の発生頻度の平均値が３．１％であることを示している（図４（ｂ）の折れ線グラフ７４参照）。１６：００から１８：００までの２時間における、生後１６週を経過したユーザＸの子供の最長睡眠の発生頻度７．１％と、生後１３週から１６週までの子供の最長睡眠の発生頻度の平均値３．１％との偏差Ｄ４ｅは、｜７．１－３．１｜＝４．０である。 FIG. 4 (a) shows that the number of occurrences of the longest sleep of the child in 2 hours from 16:00 to 18:00 is 2 days, the frequency of occurrence of the longest sleep of the child in the 2 hours is 7.1%, 2 It shows that the average value of the occurrence frequency of the longest sleep of the child from the 13th week to the 16th week in the time is 3.1% (see the line graph 74 in FIG. 4B). The occurrence frequency of the longest sleep of the child of the user X who passed 16 weeks after birth for 2 hours from 16:00 to 18:00 7.1%, and the occurrence frequency of the longest sleep of the child from 13 weeks to 16 weeks after birth The deviation D4e from the average value of 3.1% is | 7.1-3.1 | = 4.0.
　図４（ａ）は、１８：００から２０：００までの２時間における子供の最長睡眠の発生日数が４日、その２時間におけるその子供の最長睡眠の発生頻度が１４．３％、その２時間における生後１３週から１６週までの子供の最長睡眠の発生頻度の平均値が７．６％であることを示している（図４（ｂ）の折れ線グラフ７４参照）。１８：００から２０：００までの２時間における、生後１６週を経過したユーザＸの子供の最長睡眠の発生頻度１４．３％と、生後１３週から１６週までの子供の最長睡眠の発生頻度の平均値７．６％との偏差Ｄ４ｆは、｜１４．３－７．６｜＝６．７である。 FIG. 4 (a) shows that the number of days of occurrence of the longest sleep of the child in 2 hours from 18:00 to 20:00 is 4 days, the frequency of occurrence of the longest sleep of the child in the 2 hours is 14.3%, 2 It shows that the average value of the occurrence frequency of the longest sleep of the child from the 13th to 16th week in the time is 7.6% (see the line graph 74 in FIG. 4B). Occurrence frequency 14.3% of the longest sleep of the child of the user X who passed 16 weeks after birth in 2 hours from 18:00 to 20:00, and the occurrence frequency of the longest sleep of the child from 13 weeks to 16 weeks after birth. The deviation D4f from the average value of 7.6% is | 14.3-7.6 | = 6.7.
　図４（ａ）は、２０：００から２２：００までの２時間における子供の最長睡眠の発生日数が８日、その２時間におけるその子供の最長睡眠の発生頻度が２８．６％、その２時間における生後１３週から１６週までの子供の最長睡眠の発生頻度の平均値が５０．２％であることを示している（図４（ｂ）の折れ線グラフ７４参照）。２０：００から２２：００までの２時間における、生後１６週を経過したユーザＸの子供の最長睡眠の発生頻度２８．６％と、生後１３週から１６週までの子供の最長睡眠の発生頻度の平均値５０．２％との偏差Ｄ４ｇは、｜２８．６－５０．２｜＝２１．６である。 FIG. 4 (a) shows that the number of occurrences of the longest sleep of the child in 2 hours from 20:00 to 22:00 is 8 days, the occurrence frequency of the longest sleep of the child in 2 hours is 28.6%, 2 It shows that the average value of the occurrence frequency of the longest sleep of the child from the 13th to the 16th week after birth is 50.2% (see the line graph 74 in FIG. 4B). The frequency of occurrence of the longest sleep of the child of the user X who has passed 16 weeks of birth in 2 hours from 20:00 to 22:00 and the frequency of occurrence of the longest sleep of the child from 13 weeks to 16 weeks of age The deviation D4g from the average value of 50.2% is | 28.6-50.2 | = 21.6.
　図４（ａ）は、２２：００から２４：００までの２時間における子供の最長睡眠の発生日数が５日、その２時間におけるその子供の最長睡眠の発生頻度が１７．９％、その２時間における生後１３週から１６週までの子供の最長睡眠の発生頻度の平均値が１９．５％であることを示している（図４（ｂ）の折れ線グラフ７４参照）。２２：００から２４：００までの２時間における、生後１６週を経過したユーザＸの子供の最長睡眠の発生頻度１７．９％と、生後１３週から１６週までの子供の最長睡眠の発生頻度の平均値１９．５％との偏差Ｄ４ｈは、｜１７．９－１９．５｜＝１．６である。 FIG. 4 (a) shows that the number of occurrences of the longest sleep of the child in 2 hours from 22:00 to 24:00 is 5 days, the occurrence frequency of the longest sleep of the child in 2 hours is 17.9%, 2 It shows that the average value of the occurrence frequency of the longest sleep of the child from the 13th to 16th week after birth in the time is 19.5% (see the line graph 74 in FIG. 4B). The frequency of occurrence of the longest sleep of the child of the user X who passed 16 weeks after birth for 2 hours from 22:00 to 24:00, and the frequency of occurrence of the longest sleep of the child from 13 weeks to 16 weeks of age The deviation D4h from the average value of 19.5% is | 17.9−19.5 | = 1.6.
　図４（ａ）は、００：００から０２：００までの２時間における子供の最長睡眠の発生日数が３日、その２時間におけるその子供の最長睡眠の発生頻度が１０．７％、その２時間における生後１３週から１６週までの子供の最長睡眠の発生頻度の平均値が１０．２％であることを示している（図４（ｂ）の折れ線グラフ７４参照）。００：００から０２：００までの２時間における、生後１６週を経過したユーザＸの子供の最長睡眠の発生頻度１０．７％と、生後１３週から１６週までの子供の最長睡眠の発生頻度の平均値１０．２％との偏差Ｄ４ｉは、｜１０．７－１０．２｜＝０．５である。 FIG. 4 (a) shows that the generation period of the longest sleep of the child in 2 hours from 00:00 to 02:00 is 3 days, the occurrence frequency of the longest sleep of the child in the 2 hours is 10.7%, 2 It shows that the average value of the occurrence frequency of the longest sleep of the child from the 13th to 16th week in the time is 10.2% (see the line graph 74 in FIG. 4B). Occurrence frequency of the longest sleep of the child of the user X who passed 16 weeks after birth from 00:00 to 02:00 10.7% and the occurrence frequency of the longest sleep of the child from 13 weeks to 16 weeks after birth The deviation D4i from the average value of 10.2% is | 10.7-10.2 | = 0.5.
　図４（ａ）は、０２：００から０４：００までの２時間における子供の最長睡眠の発生日数が１日、その２時間におけるその子供の最長睡眠の発生頻度が３．６％、その２時間における生後１３週から１６週までの子供の最長睡眠の発生頻度の平均値が２．１％であることを示している（図４（ｂ）の折れ線グラフ７４参照）。０２：００から０４：００までの２時間における、生後１６週を経過したユーザＸの子供の最長睡眠の発生頻度３．６％と、生後１３週から１６週までの子供の最長睡眠の発生頻度の平均値２．１％との偏差Ｄ４ｊは、｜３．６－２．１｜＝１．５である。 FIG. 4 (a) shows that the occurrence of the longest sleep of the child in 2 hours from 02:00 to 04:00 is 1 day, the occurrence frequency of the longest sleep of the child in 2 hours is 3.6%, 2 It shows that the average value of the occurrence frequency of the longest sleep of the child from the 13th to 16th week in the time is 2.1% (see the line graph 74 in FIG. 4B). Occurrence frequency of the longest sleep of the child of the user X who passed 16 weeks after birth for 2 hours from 02:00 to 04:00 3.6%, and the occurrence frequency of the longest sleep of the child from 13 weeks to 16 weeks after birth The deviation D4j from the average value of 2.1% is | 3.6−2.1 | = 1.5.
　図４（ａ）は、０４：００から０６：００までの２時間における子供の最長睡眠の発生日数が０日、その２時間におけるその子供の最長睡眠の発生頻度が０％、その２時間における生後１３週から１６週までの子供の最長睡眠の発生頻度の平均値が０．４％であることを示している（図４（ｂ）の折れ線グラフ７４参照）。０４：００から０６：００までの２時間における、生後１６週を経過したユーザＸの子供の最長睡眠の発生頻度０％と、生後１３週から１６週までの子供の最長睡眠の発生頻度の平均値０．４％との偏差Ｄ４ｋは、｜０－０．４｜＝０．４である。 FIG. 4 (a) shows that the number of days of occurrence of the longest sleep of the child in 2 hours from 04:00 to 06:00 is 0 days, the frequency of occurrence of the longest sleep of the child in the 2 hours is 0%, It shows that the average value of the occurrence frequency of the longest sleep of children from the 13th to the 16th week of birth is 0.4% (see the line graph 74 in FIG. 4B). Occurrence frequency 0% of the longest sleep of the child of the user X who passed 16 weeks of age in 2 hours from 04:00 to 06:00, and the average occurrence frequency of the longest sleep of the child from 13 weeks to 16 weeks of age The deviation D4k from the value 0.4% is | 0−0.4 | = 0.4.
　図４（ａ）は、０６：００から０８：００までの２時間における子供の最長睡眠の発生日数が０日、その２時間におけるその子供の最長睡眠の発生頻度が０％、その２時間における生後１３週から１６週までの子供の最長睡眠の発生頻度の平均値が０．１％であることを示している（図４（ｂ）の折れ線グラフ７４参照）。０６：００から０８：００までの２時間における、生後１６週を経過したユーザＸの子供の最長睡眠の発生頻度０％と、生後１３週から１６週までの子供の最長睡眠の発生頻度の平均値０．１％との偏差Ｄ４ｌは、｜０－０．１｜＝０．１である。 FIG. 4 (a) shows that the occurrence of the longest sleep of the child in 2 hours from 06:00 to 08:00 is 0 days, the occurrence frequency of the longest sleep of the child in 2 hours is 0%, and in that 2 hours It shows that the average value of the occurrence frequency of the longest sleep of children from the 13th to the 16th week of birth is 0.1% (see the line graph 74 in FIG. 4B). Occurrence frequency 0% of the longest sleep of the child of user X who passed 16 weeks of age and average frequency of occurrence of the longest sleep of the child from 13 weeks to 16 weeks after birth for 2 hours from 06:00 to 08:00 The deviation D4l from the value 0.1% is | 0−0.1 | = 0.1.
　生後１６週を経過したユーザＸの子供の最長睡眠発生時刻の頻度分布は、生後１３週から１６週までの子供の最長睡眠発生時刻の発生頻度の平均値分布に対し、以下の式（１）で算出される分散Ｖ４４を有している。式（１）によれば、分散Ｖ４４の値は、５８０．４８である。
Ｖ４４＝Ｄ４ａ２＋Ｄ４ｂ２＋Ｄ４ｃ２＋Ｄ４ｄ２＋Ｄ４ｅ２＋Ｄ４ｆ２＋Ｄ４ｇ２＋Ｄ４ｈ２＋Ｄ４ｉ２＋Ｄ４ｊ２＋Ｄ４ｋ２　・・・　（１） The frequency distribution of the longest sleep occurrence time of the child of the user X who has passed 16 weeks of birth is expressed by the following formula (1) with respect to the average value distribution of the occurrence frequency of the longest sleep occurrence time of the child from 13 weeks to 16 weeks of age: The variance V44 calculated by According to equation (1), the value of the variance V44 is 580.48.
V44 = D4a 2 + D4b 2 + D4c 2 + D4d 2 + D4e 2 + D4f 2 + D4g 2 + D4h 2 + D4i 2 + D4j 2 + D4k 2 ··· (1)
　上述したように、式（１）によって算出されるのは、図４（ｂ）の折れ線グラフ７４に対する、生後１６週を経過したユーザＸの子供の最長睡眠発生時刻の頻度分布の分散Ｖ４４である。同様にして、図４（ｂ）の折れ線グラフ７１，７２，７３，７５及び７６のそれぞれに対する、生後１６週を経過したユーザＸの子供の最長睡眠発生時刻の頻度分布の分散Ｖ４１，Ｖ４２，Ｖ４３，Ｖ４５及びＶ４６をそれぞれ算出することができる。こうして算出された分散Ｖ４１，Ｖ４２，Ｖ４３，Ｖ４４，Ｖ４５及びＶ４６のうちの最小値を示す分散を決定すると、ユーザＸの子供の最長睡眠発生時刻の頻度分布が、他の子供たちの最長睡眠発生時刻の頻度分布と比較して進んでいるのか、遅れているのかが分かる。 As described above, the distribution V44 of the frequency distribution of the longest sleep occurrence time of the child of the user X who has passed 16 weeks of age with respect to the line graph 74 of FIG. 4B is calculated by the equation (1). . Similarly, the variance V41, V42, V43 of the frequency distribution of the longest sleep occurrence time of the child of the user X who has passed 16 weeks of age for each of the line graphs 71, 72, 73, 75 and 76 in FIG. 4B. , V45 and V46 can be calculated respectively. When the variance indicating the minimum value among the variances V41, V42, V43, V44, V45 and V46 calculated in this way is determined, the frequency distribution of the longest sleep occurrence time of the child of the user X is the longest sleep occurrence of the other children. You can see whether it is moving forward or behind compared to the time frequency distribution.
　例えば、０８：００から１０：００まで、１０：００から１２：００まで、１２：００から１４：００まで、及び１４：００から１６：００までの２時間ずつにおける、上述した生後１６週を経過したユーザＸの子供の最長睡眠の発生頻度０％，３．６％，７．１％，及び７．１％と、図４（ｂ）の折れ線グラフ７２で示される生後５週から８週までの子供の最長睡眠の発生頻度の平均値０．１％，４．１％，７．４％，及び７．２％との偏差Ｄ２ａ，Ｄ２ｂ，Ｄ２ｃ，及びＤ２ｄは、それぞれ０．１，０．５，０．３，及び０．１である。 For example, the above-mentioned 16 weeks after birth in 2 hours from 08:00 to 10:00, from 10:00 to 12:00, from 12:00 to 14:00, and from 14:00 to 16:00 Occurrence frequency of the longest sleep of the child of the user X who has passed 0%, 3.6%, 7.1%, and 7.1%, and 5 to 8 weeks after birth shown by the line graph 72 in FIG. 4B Deviations D2a, D2b, D2c, and D2d from the average values of the occurrence frequency of longest sleep of children up to 0.1%, 4.1%, 7.4%, and 7.2% are 0.1, 0.5, 0.3, and 0.1.
　例えば、１６：００から１８：００まで、１８：００から２０：００まで、２０：００から２２：００まで、及び２２：００から２４：００までの２時間ずつにおける、上述した生後１６週を経過したユーザＸの子供の最長睡眠の発生頻度７．１％，１４．３％，２８．６％，及び１７．９％と、図４（ｂ）の折れ線グラフ７２で示される生後５週から８週までの子供の最長睡眠の発生頻度の平均値７．６％，１３．４％，２９．８％，及び１７．４％との偏差Ｄ２ｅ，Ｄ２ｆ，Ｄ２ｇ，及びＤ２ｈは、それぞれ０．５，０．９，１．２，及び０．５である。 For example, the above 16 weeks after birth in 2 hours from 16:00 to 18:00, from 18:00 to 20:00, from 20:00 to 22:00, and from 22:00 to 24:00 The occurrence frequency of the longest sleep of the child of the user X who has passed is 7.1%, 14.3%, 28.6%, and 17.9%, and from the fifth week after birth shown by the line graph 72 in FIG. Deviations D2e, D2f, D2g, and D2h from the mean 7.6%, 13.4%, 29.8%, and 17.4% of the frequency of occurrence of the longest sleep up to 8 weeks are 0. 5, 0.9, 1.2, and 0.5.
　例えば、００：００から０２：００まで、０２：００から０４：００まで、０４：００から０６：００まで、及び０６：００から０８：００までの２時間ずつにおける、上述した生後１６週を経過したユーザＸの子供の最長睡眠の発生頻度１０．７％，３．６％，０％，及び０％と、図４（ｂ）の折れ線グラフ７２で示される生後５週から８週までの子供の最長睡眠の発生頻度の平均値１０．１％，２．６％，０．２％，及び０．１％との偏差Ｄ２ｉ，Ｄ２ｊ，Ｄ２ｋ，及びＤ２ｌは、それぞれ０．６，１．０，０．２，及び０．１である。 For example, the above-mentioned 16 weeks after birth in 2 hours from 00:00 to 02:00, from 02:00 to 04:00, from 04:00 to 06:00, and from 06:00 to 08:00 The frequency of occurrence of the longest sleep of the child of user X who has passed is 10.7%, 3.6%, 0%, and 0%, and from the 5th to 8th week of birth shown by the line graph 72 in FIG. Deviations D2i, D2j, D2k, and D2l from the mean 10.1%, 2.6%, 0.2%, and 0.1% of the occurrence frequency of the longest sleep in the children are 0.6, 1. 0, 0.2, and 0.1.
　生後１６週を経過したユーザＸの子供の最長睡眠発生時刻の頻度分布は、生後５週から８週までの子供の最長睡眠発生時刻の発生頻度の平均値分布に対し、以下の式（２）で算出される分散Ｖ４２を有している。式（２）によれば、分散Ｖ４２の値は、４．５２である。
Ｖ４２＝Ｄ２ａ２＋Ｄ２ｂ２＋Ｄ２ｃ２＋Ｄ２ｄ２＋Ｄ２ｅ２＋Ｄ２ｆ２＋Ｄ２ｇ２＋Ｄ２ｈ２＋Ｄ２ｉ２＋Ｄ２ｊ２＋Ｄ２ｋ２　・・・　（２） The frequency distribution of the longest sleep occurrence time of the child of the user X who has passed 16 weeks of birth is expressed by the following formula (2) with respect to the average value distribution of the occurrence frequency of the longest sleep occurrence time of the child from 5 weeks to 8 weeks after birth: The variance V42 calculated by According to equation (2), the value of variance V42 is 4.52.
V42 = D2a 2 + D2b 2 + D2c 2 + D2d 2 + D2e 2 + D2f 2 + D2g 2 + D2h 2 + D2i 2 + D2j 2 + D2k 2 (2)
　同様にして、分散Ｖ４１，Ｖ４２，Ｖ４３，Ｖ４４，Ｖ４５及びＶ４６のすべての値が算出され、これら６つの分散値の中の最小値を示す分散が、分散Ｖ４２であると決定されたとする。この場合、生後１６週を経過したユーザＸの子供の最長睡眠発生時刻の頻度分布は、生後５週から８週までの子供の最長睡眠発生時刻の発生頻度の平均値分布に最も類似することとなるから、８週程度遅れていると判定することができる。生後１３週から１６週までの合計２８日の期間内におけるユーザＸの子供の最長睡眠発生時刻の頻度分布に関する履歴情報と、生後１３週から１６週までの他ユーザの子供の最長睡眠発生時刻の頻度分布に関する履歴情報に基づく比較用情報との比較に基づいて検出される育児負担についての説明、及びその検出された育児負担とに応じて生成されるユーザＸへの案内情報についての説明は、後述する。 Similarly, all the values of the variances V41, V42, V43, V44, V45, and V46 are calculated, and it is assumed that the variance indicating the minimum value among these six variance values is determined to be the variance V42. In this case, the frequency distribution of the longest sleep occurrence time of the child of the user X who has passed 16 weeks of age is most similar to the average value distribution of the occurrence frequency of the longest sleep occurrence time of the child from 5 weeks to 8 weeks of age. Therefore, it can be determined that the delay is about eight weeks. History information on the frequency distribution of the longest sleep occurrence time of the child of the user X in the total period of 28 days from the 13th week to the 16th week, and the longest sleep occurrence time of the child of the other user from the 13th week to the 16th week after the birth The explanation about the childcare burden detected based on the comparison with the comparison information based on the history information about the frequency distribution, and the explanation about the guidance information to the user X generated according to the detected childcare burden, It will be described later.
　図５は、所定の生後期間内における子供への授乳間隔を例示する図である。図５（ａ）は、４月１日０８：００から２０：００までの時間帯、及び４月２日０８：００から２０：００までの時間帯における、ユーザＸが養育する生後１２週経過後の子供への授乳間隔を例示している。４月１日０８：００から２０：００までの時間帯における授乳間隔は、図２に示す育児記録情報５０のＣ列に管理されている７回の授乳時刻のうちの上述した時間帯における５回の授乳時刻に基づいて算出され、こうして算出された１．３時間、５．２時間、１．８時間及び１．８時間といった４回分の授乳間隔の値が、図５（ａ）に示されている。４月２日０８：００から２０：００までの時間帯における授乳間隔も同様に算出され、３．３時間、６．０時間及び１．９時間といった３回分の授乳間隔の値が、図５（ａ）に示されている。 FIG. 5 is a diagram illustrating a breast feeding interval to a child within a predetermined postnatal period. FIG. 5 (a) shows that 12 weeks have passed since user X was trained in the time zone from 08:00 to 20:00 on April 1 and in the time zone from 08:00 to 20:00 on April 2. Illustrates breastfeeding intervals for later children. The breast feeding interval in the time zone from 08:00 to 20:00 on April 1 is 5 in the above-mentioned time zone among the seven feeding times managed in the column C of the child care record information 50 shown in FIG. FIG. 5 (a) shows the values of four feeding intervals such as 1.3 hours, 5.2 hours, 1.8 hours, and 1.8 hours calculated based on the time of feeding. Has been. The breast feeding intervals in the time period from 08:00 to 20:00 on April 2 were calculated in the same manner, and the values of the breast feeding intervals for three times such as 3.3 hours, 6.0 hours, and 1.9 hours are shown in FIG. It is shown in (a).
　上述したように、情報提供サーバ２０の記憶装置２４には、ユーザＸ以外の複数のユーザの子供への授乳時刻を含む育児記録情報が書き込まれているので、図５（ｂ）に示すように、生後期間毎に子供への授乳間隔の平均、１０パーセントタイル、及び９０パーセンタイルといった統計値を比較用情報として算出することができる。それらの統計値と、ユーザＸの子供への授乳間隔とを比較することによって、ユーザＸの子供への授乳間隔のバラつきの程度を評価することができる。 As described above, since the child care record information including the breast feeding times to the children of a plurality of users other than the user X is written in the storage device 24 of the information providing server 20, as shown in FIG. Statistical values such as the average of breastfeeding intervals for children for each postnatal period, 10 percent tile, and 90 percentile can be calculated as comparison information. By comparing these statistical values with the breast feeding interval of the user X to the child, the degree of variation in the breast feeding interval of the user X to the child can be evaluated.
　図５（ｂ）によると、１日間のうちの０８：００から２０：００までの時間帯において、生後２週から４週までの子供への授乳間隔の平均、１０パーセントタイル、及び９０パーセンタイルの値は、それぞれ２．１時間、１．７時間、及び２．５時間である。生後５週から８週までの子供への授乳間隔の平均、１０パーセントタイル、及び９０パーセンタイルの値は、それぞれ２．６時間、２．０時間、及び３．２時間である。生後９週から１２週までの子供への授乳間隔の平均、１０パーセントタイル、及び９０パーセンタイルの値は、それぞれ３．２時間、２．３時間、及び４．１時間である。生後１３週から１６週までの子供への授乳間隔の平均、１０パーセントタイル、及び９０パーセンタイルの値は、それぞれ３．９時間、２．６時間、及び５．２時間である。生後１７週から２０週までの子供への授乳間隔の平均、１０パーセントタイル、及び９０パーセンタイルの値は、それぞれ４．７時間、３．０時間、及び６．４時間である。生後２１週から２４週までの子供への授乳間隔の平均、１０パーセントタイル、及び９０パーセンタイルの値は、それぞれ５．３時間、３．５時間、及び７．１時間である。 According to FIG. 5 (b), in the time period from 08:00 to 20:00 of the day, the average breastfeeding interval for children from 2 weeks to 4 weeks of age, 10 percent tile, and 90 percentile The values are 2.1 hours, 1.7 hours, and 2.5 hours, respectively. The average breastfeeding interval for children between 5 and 8 weeks of age is 10 percent tile and 90 percentile values of 2.6 hours, 2.0 hours, and 3.2 hours, respectively. The average breastfeeding interval for children from 9 to 12 weeks of age, the values for the 10 percent tile and 90 percentile are 3.2 hours, 2.3 hours, and 4.1 hours, respectively. The average breastfeeding interval for children from 13 to 16 weeks of age is 3.9 hours, 2.6 hours, and 5.2 hours, respectively. The average breastfeeding interval for children from 17 to 20 weeks of age is 4.7, 3.0, and 6.4 hours, respectively. The average breastfeeding interval for children from 21 to 24 weeks of age is 5.3, 3.5, and 7.1 hours for the 10 percent tile and 90 percentile values, respectively.
　図５（ａ）によると、４月１日０８：００から２０：００までの時間帯において、生後１２週を経過したユーザＸの子供への授乳間隔の値は４回分取得されている。これら４回分取得された授乳間隔の値はいずれも、図５（ｂ）に示される生後９週から１２週までの子供への授乳間隔の１０パーセントタイルの値を下回るか、又は９０パーセンタイルの値を上回る。１０パーセントタイルの値を下回る範囲、及び９０パーセンタイルの値を上回る範囲を、特定範囲と呼ぶこととする。例えば、取得された授乳間隔の値が、連続２回特定範囲に含まれたとき、或いは０８：００から２４時間の間に、連続／非連続を問わず３回特定範囲に含まれたとき、授乳間隔にバラつきがあると判定される。したがって、４月１日０８：００から２０：００までの時間帯においては、生後１２週を経過したユーザＸの子供への授乳間隔の値が、連続２回特定範囲に含まれ、かつ０８：００から２４時間の間に、連続／非連続を問わず３回特定範囲に含まれるため、授乳間隔にバラつきがあると判定される。 According to FIG. 5 (a), in the time period from 08:00 to 20:00 on April 1, the value of the breast feeding interval to the child of the user X who has passed 12 weeks of age is acquired four times. Any of these four breastfeeding interval values is less than the 10 percent tile value of the breastfeeding interval for children from 9 to 12 weeks of age shown in FIG. 5 (b), or the 90th percentile value. It exceeds. The range below the 10 percent tile value and the range above the 90th percentile value will be referred to as a specific range. For example, when the value of the acquired breastfeeding interval is included in the specific range twice consecutively, or when it is included in the specific range three times regardless of continuous / discontinuous between 08:00 and 24 hours, It is determined that there is a variation in the feeding interval. Therefore, in the time period from 08:00 to 20:00 on April 1, the value of the feeding interval to the child of the user X who has passed 12 weeks of age is included in the specific range twice consecutively, and 08: Since it is included in the specific range three times regardless of continuous / non-continuous from 00 to 24 hours, it is determined that there is a variation in the feeding interval.
　図５（ａ）によると、４月２日０８：００から２０：００までの時間帯において、生後１２週を経過したユーザＸの子供への授乳間隔の値は３回分取得されている。これら３回分取得された授乳間隔の値のうち、２回目に取得された６．０時間という値、及び次の３回目に取得された１．９時間という値は、図５（ｂ）に示される生後９週から１２週までの子供への授乳間隔の１０パーセントタイルの値を下回るか、又は９０パーセンタイルの値を上回る。したがって、４月２日０８：００から２０：００までの時間帯においては、生後１２週を経過したユーザＸの子供への授乳間隔の値が、連続２回特定範囲に含まれるため、授乳間隔にバラつきがあると判定される。 According to FIG. 5 (a), during the time period from 08:00 to 20:00 on April 2, the value of the breast feeding interval for the child of user X who has passed 12 weeks of age is acquired three times. Among the values of the breastfeeding intervals acquired for these three times, the value of 6.0 hours acquired for the second time and the value of 1.9 hours acquired for the third time are shown in FIG. Less than the 10 percent tile value of the breastfeeding interval for children from 9 to 12 weeks of age or greater than the 90 percentile value. Therefore, in the time period from 08:00 to 20:00 on April 2, the value of the feeding interval to the child of the user X who has passed 12 weeks of age is included in the specific range twice consecutively. It is determined that there is variation.
　生後９週から１２週までの合計２８日の期間内におけるユーザＸの子供への授乳の発生間隔に関する履歴情報と、生後９週から１２週までの他ユーザの子供への授乳の発生間隔に関する履歴情報に基づく比較用情報との比較に基づいて検出される育児負担についての説明、及びその検出された育児負担とに応じて生成されるユーザＸへの案内情報についての説明は、後述する。なお、１日間のうちの０８：００から２０：００までの時間帯における授乳間隔の値に限らず、他の時間帯における授乳間隔の値が用いられてもよい。 History information regarding the occurrence interval of breastfeeding to the child of the user X within the total period of 28 days from the 9th week to the 12th week, and history relating to the occurrence interval of the breastfeeding to the child of the other user from the 9th week to the 12th week after the birth The explanation about the childcare burden detected based on the comparison with the information for comparison based on the information and the guidance information to the user X generated according to the detected childcare burden will be described later. In addition, the value of the breast feeding interval in another time slot | zone may be used not only in the value of the breast feeding interval in the time slot | zone from 08:00 to 20:00 in one day.
　図６は、ユーザに生じる育児負担の検出結果に応じて行われる案内情報出力処理を例示する図である。上述したように、情報提供サーバ２０のプロセッサ２１は、情報入出力端末１０から取得した特定のユーザの育児記録情報と、情報提供サーバ２０の記憶装置２４から読み出した一部又はすべてのユーザの育児記録情報に基づく比較用情報とを比較することによって、その特定のユーザに生じる育児負担を検出する。 FIG. 6 is a diagram exemplifying guidance information output processing performed in accordance with the detection result of the childcare burden caused to the user. As described above, the processor 21 of the information providing server 20 provides childcare record information of a specific user acquired from the information input / output terminal 10 and childcare of some or all users read from the storage device 24 of the information providing server 20. By comparing the information for comparison based on the recorded information, the childcare burden caused to the specific user is detected.
　例えば、情報提供サーバ２０のプロセッサ２１は、図３に示されるように、００：００から０８：００までの時間において、生後８週を経過したユーザＸの子供の夜泣きの発生確率が、生後５週から８週までの子供の夜泣きの発生確率の平均値よりも２０％以上高い値で推移していることを検出した場合、ユーザに生じる育児負担をレベル３と判定する。情報提供サーバ２０のプロセッサ２１は、生後８週を経過したユーザＸの子供の夜泣きの発生確率が、生後５週から８週までの子供の夜泣きの発生確率の平均値よりも１０％以上高く、かつ２０％未満の値で推移していることを検出した場合、ユーザに生じる育児負担をレベル２と判定する。情報提供サーバ２０のプロセッサ２１は、生後８週を経過したユーザＸの子供の夜泣きの発生確率が、生後５週から８週までの子供の夜泣きの発生確率の平均値よりも５％以上高く、かつ１０％未満の値で推移していることを検出した場合、ユーザに生じる育児負担をレベル１と判定する。 For example, as shown in FIG. 3, the processor 21 of the information providing server 20 has a probability of night crying of a child of a user X who has passed 8 weeks of birth at a time from 00:00 to 08:00, When it is detected that the transition from the average value of the probability of night crying of the child from week 8 to week 8 is 20% or more, it is determined that the childcare burden caused to the user is level 3. The processor 21 of the information providing server 20 has a probability of night crying of the child of the user X who has passed 8 weeks of age 10% or more higher than the average value of the probability of night crying of the child from the 5th to 8th week of birth, And when it detects that it is changing with the value of less than 20%, it determines with the childcare burden which arises in a user being Level 2. The processor 21 of the information providing server 20 has a probability that the night cry of the child of the user X who has passed 8 weeks of age is 5% or more higher than the average probability of the night cry of the child from the 5th week to the 8th week, In addition, when it is detected that the transition is less than 10%, the childcare burden generated on the user is determined as level 1.
　例えば、情報提供サーバ２０のプロセッサ２１は、生後１６週を経過したユーザＸの子供の最長睡眠発生時刻の頻度分布が１２週程度遅れていることを検出した場合、ユーザに生じる育児負担をレベル３と判定する。情報提供サーバ２０のプロセッサ２１は、生後１６週を経過したユーザＸの子供の最長睡眠発生時刻の頻度分布が８週程度遅れていることを検出した場合、ユーザに生じる育児負担をレベル２と判定する。情報提供サーバ２０のプロセッサ２１は、生後１６週を経過したユーザＸの子供の最長睡眠発生時刻の頻度分布が４週程度遅れていることを検出した場合、ユーザに生じる育児負担をレベル１と判定する。 For example, when the processor 21 of the information providing server 20 detects that the frequency distribution of the longest sleep occurrence time of the child of the user X who has passed 16 weeks has been delayed by about 12 weeks, the childcare burden caused to the user is set to level 3. Is determined. When the processor 21 of the information providing server 20 detects that the frequency distribution of the longest sleep generation time of the child of the user X who has passed 16 weeks of age is delayed by about 8 weeks, the childcare burden that occurs to the user is determined to be level 2 To do. When the processor 21 of the information providing server 20 detects that the frequency distribution of the longest sleep generation time of the child of the user X who has passed 16 weeks of age is delayed by about 4 weeks, the childcare burden that occurs to the user is determined as level 1 To do.
　例えば、情報提供サーバ２０のプロセッサ２１は、生後１２週を経過したユーザＸの子供への授乳の発生間隔の値が、１０パーセントタイルの値を下回る範囲、及び９０パーセンタイルの値を上回る範囲である特定範囲に、連続４回含まれたとき、或いは０８：００から２４時間の間に、連続／非連続を問わず５回含まれたとき、ユーザに生じる育児負担をレベル３と判定する。情報提供サーバ２０のプロセッサ２１は、生後１２週を経過したユーザＸの子供への授乳の発生間隔の値が、上述した特定範囲に、連続３回含まれたとき、或いは０８：００から２４時間の間に、連続／非連続を問わず４回含まれたとき、ユーザに生じる育児負担をレベル２と判定する。情報提供サーバ２０のプロセッサ２１は、生後１２週を経過したユーザＸの子供への授乳の発生間隔の値が、上述した特定範囲に、連続２回含まれたとき、或いは０８：００から２４時間の間に、連続／非連続を問わず３回含まれたとき、ユーザに生じる育児負担をレベル１と判定する。 For example, the processor 21 of the information providing server 20 is in a range in which the value of the occurrence interval of breast feeding to the child of the user X who has passed 12 weeks of age is less than the value of the 10 percent tile and the value of the 90th percentile. When it is included in the specific range four times continuously, or when it is included five times regardless of continuous / non-continuous from 08:00 to 24 hours, the childcare burden caused to the user is determined as level 3. The processor 21 of the information providing server 20 determines that the value of the breast feeding interval for the child of the user X who has passed 12 weeks of age is included in the above-mentioned specific range three times continuously, or from 08:00 to 24 hours If the child is included four times regardless of whether it is continuous or non-continuous, the childcare burden caused to the user is determined as level 2. The processor 21 of the information providing server 20 determines that the value of the breast feeding interval for the child of the user X who has passed 12 weeks of age is included in the above-mentioned specific range twice, or from 08:00 to 24 hours. If the child is included three times regardless of whether it is continuous or discontinuous, the childcare burden caused to the user is determined as level 1.
　図６に示すように、情報提供サーバ２０のプロセッサ２１がユーザに生じる育児負担を検出した結果、育児負担レベルが最も高いレベル３であると判定した場合は、ユーザに大きな育児負担が生じている可能性があるため、医療機関等の連絡先の画面表示を行うことができるように案内情報を作成するとともに、ユーザの健康状態の判定を目的としたユーザアンケートへの回答を誘導する案内情報を作成する。情報入出力端末１０の出力装置１４において、作成されたそれらの案内情報に基づく画面表示及び／又は音声案内が行われる。 As shown in FIG. 6, when the processor 21 of the information providing server 20 detects the childcare burden caused to the user, if it is determined that the childcare burden level is the highest level 3, the user has a large childcare burden. Because there is a possibility, guide information is created so that a contact screen of a medical institution or the like can be displayed, and guidance information that guides an answer to a user questionnaire for the purpose of determining the user's health status create. The output device 14 of the information input / output terminal 10 performs screen display and / or voice guidance based on the created guidance information.
　図６に示すように、情報提供サーバ２０のプロセッサ２１がユーザに生じる育児負担を検出した結果、育児負担レベルがレベル３に次ぐレベル２であると判定した場合は、ユーザに育児負担が生じている可能性があるため、育児負担の自己診断に役立つウェブサイトやアプリケーションツールを紹介する案内情報を作成するとともに、医療機関等の連絡先の画面表示を行うことができるように案内情報を作成する。情報入出力端末１０の出力装置１４において、作成されたそれらの案内情報に基づく画面表示及び／又は音声案内が行われる。 As shown in FIG. 6, when the processor 21 of the information providing server 20 detects the childcare burden caused to the user, if it is determined that the childcare burden level is level 2 after level 3, the childcare burden is generated on the user. As well as creating guidance information that introduces websites and application tools that are useful for self-diagnosis of childcare burden, create guidance information so that you can display the contact information of medical institutions, etc. . The output device 14 of the information input / output terminal 10 performs screen display and / or voice guidance based on the created guidance information.
　図６に示すように、情報提供サーバ２０のプロセッサ２１がユーザに生じる育児負担を検出した結果、育児負担レベルがレベル２よりも低いレベル１以下であると判定した場合は、育児負担の抑止／軽減や自己診断に役立つウェブサイトやアプリケーションツールを紹介する案内情報を作成する。情報入出力端末１０の出力装置１４において、作成されたその案内情報に基づく画面表示及び／又は音声案内が行われる。 As shown in FIG. 6, when the processor 21 of the information providing server 20 detects the childcare burden caused to the user, if it is determined that the childcare burden level is equal to or lower than level 1, which is lower than level 2, Create guidance information that introduces websites and application tools that can help with mitigation and self-diagnosis. The output device 14 of the information input / output terminal 10 performs screen display and / or voice guidance based on the created guidance information.
　図７は、画面表示による案内情報出力を例示する図である。情報提供サーバ２０のプロセッサ２１は、図３に例示する００：００から０８：００までの時間において、生後８週を経過したユーザＸの子供の夜泣きの発生確率が、比較用情報である生後５週から８週までの子供の夜泣きの発生確率の平均値よりも２０％以上高い値で推移していることを検出し、ユーザＸに生じる育児負担をレベル３と判定する。その場合に情報提供サーバ２０のプロセッサ２１が作成する案内情報の一部であるメッセージ１４１及び１４２が、例えば情報入出力端末１０の出力装置１４の画面１４０に表示されている例を、図７（ａ）は示している。図７（ａ）において、メッセージ１４１には、「００：００－０８：００の時間において、夜泣き発生確率が生後5-8週の平均よりも２０％以上高くなっています。あなたに大きな育児負担が生じている可能性があります。」と記載され、レベル３の育児負担検出に対応した記載となっている。メッセージ１４２には、「次へ」と記載されている。 FIG. 7 is a diagram illustrating guidance information output by screen display. The processor 21 of the information providing server 20 determines that the occurrence probability of the night cry of the child of the user X who has passed 8 weeks of age in the time from 00:00 to 08:00 illustrated in FIG. It is detected that the child's night cry from the week 8 to the week 8 is moving at a value that is 20% or more higher than the average value of the probability of night crying, and the childcare burden caused to the user X is determined as level 3. In this case, for example, messages 141 and 142 which are part of the guide information created by the processor 21 of the information providing server 20 are displayed on the screen 140 of the output device 14 of the information input / output terminal 10 as shown in FIG. a) shows. In Fig. 7 (a), the message 141 indicates that the probability of night crying is 20% or more higher than the average of 5-8 weeks after birth at the time of 00: 00-08: 00. Is described as “This may have occurred.”, Which corresponds to level 3 childcare burden detection. The message 142 describes “Next”.
　図７（ａ）において、ユーザＸが情報入出力端末１０の出力装置１４の画面１４０に表示されているメッセージ１４２に触れると、図７（ｂ）に示す画面１４０に表示内容が切り替わる。図７（ｂ）は、情報提供サーバ２０のプロセッサ２１が作成する案内情報の一部であるメッセージ１４３、１４４及び１４５が、情報入出力端末１０の出力装置１４の画面１４０に表示されている例を示している。上述したように、ユーザＸに生じる育児負担は情報提供サーバ２０のプロセッサ２１によってレベル３と判定されているため、図６に示す育児負担レベル３に対応した処理内容が実行されている。メッセージ１４３には、「夜泣き発生確率が高い事実を配偶者や家族に伝え、協力を求めましょう。また、健康状態アンケートに回答することをお薦めします。」と記載され、メッセージ１４４には、「アンケートに回答する」と記載されている。メッセージ１４３及び１４４は、いずれもユーザＸの健康状態の判定を目的としたユーザアンケートへの回答を誘導する表示となっている。ユーザＸが画面１４０に表示されている「医療機関等連絡先」と記載されたメッセージ１４５に触れると、具体的な医療機関等連絡先が表示される。 7A, when the user X touches the message 142 displayed on the screen 140 of the output device 14 of the information input / output terminal 10, the display content is switched to the screen 140 shown in FIG. 7B. FIG. 7B shows an example in which messages 143, 144, and 145 that are part of the guidance information created by the processor 21 of the information providing server 20 are displayed on the screen 140 of the output device 14 of the information input / output terminal 10. Is shown. As described above, since the childcare burden caused to the user X is determined to be level 3 by the processor 21 of the information providing server 20, the processing content corresponding to the childcare burden level 3 shown in FIG. 6 is executed. The message 143 says, “Let us tell your spouse and family about the fact that there is a high probability of crying at night and ask for help. We also recommend that you answer the health questionnaire.” “Respond to questionnaire” is stated. The messages 143 and 144 are both displayed to guide the answer to the user questionnaire for the purpose of determining the health state of the user X. When the user X touches the message 145 described as “contact information such as medical institution” displayed on the screen 140, a specific contact information such as medical institution is displayed.
　図８は、画面表示による案内情報出力を例示する図である。情報提供サーバ２０のプロセッサ２１は、図４に例示する０８：００から翌日の０８：００までの２４時間において、生後１６週を経過したユーザＸの子供の最長睡眠発生時刻の頻度分布が８週程度遅れていることを、比較用情報に基づいて検出し、ユーザＸに生じる育児負担をレベル２と判定する。その場合に情報提供サーバ２０のプロセッサ２１が作成する案内情報の一部であるメッセージ１４１及び１４２が、例えば情報入出力端末１０の出力装置１４の画面１４０に表示されている例を、図８（ａ）は示している。図８（ａ）において、メッセージ１４１には、「最長睡眠時間発生時刻の頻度分布が8週程度の遅れを示しています。あなたに育児負担が生じている可能性があります。」と記載され、レベル２の育児負担検出に対応した記載となっている。メッセージ１４２には、「次へ」と記載されている。 FIG. 8 is a diagram illustrating guidance information output by screen display. The processor 21 of the information providing server 20 shows that the frequency distribution of the longest sleep occurrence time of the child of the user X who has passed 16 weeks of age is 8 weeks in 24 hours from 08:00 to 08:00 the next day illustrated in FIG. It is detected that it is delayed to some extent based on the comparison information, and the childcare burden caused to the user X is determined as level 2. In this case, for example, messages 141 and 142 which are part of the guide information created by the processor 21 of the information providing server 20 are displayed on the screen 140 of the output device 14 of the information input / output terminal 10 as shown in FIG. a) shows. In FIG. 8 (a), the message 141 states, “The frequency distribution of the longest sleep time occurrence time shows a delay of about 8 weeks. There may be a childcare burden on you.” The description corresponds to level 2 childcare burden detection. The message 142 describes “Next”.
　図８（ａ）において、ユーザＸが情報入出力端末１０の出力装置１４の画面１４０に表示されているメッセージ１４２に触れると、図８（ｂ）に示す画面１４０に表示内容が切り替わる。図８（ｂ）は、情報提供サーバ２０のプロセッサ２１が作成する案内情報の一部であるメッセージ１４３、１４５及び１４６が、情報入出力端末１０の出力装置１４の画面１４０に表示されている例を示している。上述したように、ユーザＸに生じる育児負担は情報提供サーバ２０のプロセッサ２１によってレベル２と判定されているため、図６に示す育児負担レベル２に対応した処理内容が実行されている。メッセージ１４３には、「最長睡眠時間発生時刻の頻度分布は遅れているだけで、着実に安定に向かっています。赤ちゃんの体内時計は順調に育っていますから、焦らないでだいじょうぶです。」と記載され、ユーザＸに生じる育児負担を和らげるねらいがある。ユーザＸが画面１４０に表示されている「医療機関等連絡先」と記載されたメッセージ１４５に触れると、具体的な医療機関等連絡先が表示される。ユーザＸが画面１４０に表示されている「育児負担チェックサイト/ツール紹介」と記載されたメッセージ１４６に触れると、育児負担の自己診断に役立つ具体的なウェブサイトやアプリケーションツールを紹介する画面が表示される。 8A, when the user X touches the message 142 displayed on the screen 140 of the output device 14 of the information input / output terminal 10, the display content is switched to the screen 140 shown in FIG. 8B. FIG. 8B shows an example in which messages 143, 145, and 146, which are part of guidance information created by the processor 21 of the information providing server 20, are displayed on the screen 140 of the output device 14 of the information input / output terminal 10. Is shown. As described above, since the childcare burden caused to the user X is determined to be level 2 by the processor 21 of the information providing server 20, the processing content corresponding to the childcare burden level 2 shown in FIG. 6 is executed. The message 143 states, “The frequency distribution of the longest sleep time is only lagging and it is steadily stabilizing. The baby's biological clock is growing smoothly, so don't rush.” The purpose of this is to relieve the burden of childcare on the user X. When the user X touches the message 145 described as “contact information such as medical institution” displayed on the screen 140, a specific contact information such as medical institution is displayed. When the user X touches the message 146 that is displayed on the screen 140 with “Introduction of childcare burden check site / tool”, a screen that introduces specific websites and application tools useful for self-diagnosis of the childcare burden is displayed. Is done.
　図９は、画面表示による案内情報出力を例示する図である。情報提供サーバ２０のプロセッサ２１は、図５に例示する４月２日０８：００から４月３日０８：００までの２４時間において、生後１２週を経過したユーザＸの子供への授乳の発生間隔の値が、１０パーセントタイルの値を下回る範囲、及び９０パーセンタイルの値を上回る範囲である特定範囲に、連続２回含まれたことを、比較用情報に基づいて検出し、ユーザに生じる育児負担をレベル１と判定する。その場合に情報提供サーバ２０のプロセッサ２１が作成する案内情報の一部であるメッセージ１４１及び１４２が、例えば情報入出力端末１０の出力装置１４の画面１４０に表示されている例を、図９（ａ）は示している。図９（ａ）において、メッセージ１４１には、「授乳間隔に関しては、生後9-12週における平均3.2時間と比べて、バラつきが見られます。」と記載され、レベル１に生じる育児負担検出に対応した記載となっている。メッセージ１４２には、「次へ」と記載されている。 FIG. 9 is a diagram illustrating guidance information output by screen display. The processor 21 of the information providing server 20 generates a breastfeeding to the child of the user X who has passed 12 weeks of age in the 24 hours from 08:00 on April 2 to 08:00 on April 3 illustrated in FIG. Based on the information for comparison, it is detected that the interval value was included twice in a specific range that is lower than the value of the 10 percent tile and higher than the value of the 90th percentile. The burden is determined as level 1. In this case, for example, messages 141 and 142 that are part of the guide information created by the processor 21 of the information providing server 20 are displayed on the screen 140 of the output device 14 of the information input / output terminal 10 as shown in FIG. a) shows. In FIG. 9 (a), the message 141 states that “the breastfeeding interval is different from the average of 3.2 hours in 9-12 weeks after birth.” Corresponding description. The message 142 describes “Next”.
　図９（ａ）において、ユーザＸが情報入出力端末１０の出力装置１４の画面１４０に表示されているメッセージ１４２に触れると、図９（ｂ）に示す画面１４０に表示内容が切り替わる。図９（ｂ）は、情報提供サーバ２０のプロセッサ２１が作成する案内情報の一部であるメッセージ１４３、１４６及び１４７が、情報入出力端末１０の出力装置１４の画面１４０に表示されている例を示している。上述したように、ユーザＸに生じる育児負担は情報提供サーバ２０のプロセッサ２１によってレベル１と判定されているため、図６に示す育児負担レベル１に対応した処理内容が実行されている。メッセージ１４３には、「授乳間隔を一定にすると赤ちゃんの生活リズムが安定しやすくなり、あなたの育児負担軽減又は抑止にも効果的です。授乳タイマーを利用しますか？」という育児負担軽減／抑止を促す記載がされ、「はい」「いいえ」の選択ボタンも表示されている。ユーザＸが画面１４０に表示されている「育児負担チェックサイト/ツール紹介」と記載されたメッセージ１４６に触れると、育児負担の自己診断に役立つ具体的なウェブサイトやアプリケーションツールを紹介する画面が表示される。ユーザＸが画面１４０に表示されている「育児負担軽減／抑止サイト/ツール紹介」と記載されたメッセージ１４７に触れると、育児負担の軽減／抑止に役立つ具体的なウェブサイトやアプリケーションツールを紹介する画面が表示される。 9A, when the user X touches the message 142 displayed on the screen 140 of the output device 14 of the information input / output terminal 10, the display content is switched to the screen 140 shown in FIG. 9B. FIG. 9B shows an example in which messages 143, 146, and 147 that are part of the guide information created by the processor 21 of the information providing server 20 are displayed on the screen 140 of the output device 14 of the information input / output terminal 10. Is shown. As described above, since the childcare burden caused to the user X is determined to be level 1 by the processor 21 of the information providing server 20, the processing content corresponding to the childcare burden level 1 shown in FIG. 6 is executed. The message 143 says, “If you keep the feeding interval constant, the baby's life rhythm will be more stable and it will be effective in reducing or suppressing your childcare burden. Would you like to use a nursing timer?” And “Yes” and “No” selection buttons are also displayed. When the user X touches the message 146 that is displayed on the screen 140 with “Introduction of childcare burden check site / tool”, a screen that introduces specific websites and application tools useful for self-diagnosis of the childcare burden is displayed. Is done. When the user X touches the message 147 that is displayed on the screen 140 and described as “introduction of childcare burden / deterrence site / tool”, a specific website or application tool useful for reducing / deterring the childcare burden is introduced. A screen is displayed.
　図７（ｂ）に示す情報入出力端末１０の出力装置１４の画面１４０に表示されているメッセージ１４４にユーザＸが触れると、ユーザＸの健康状態に関する質問の情報を含んだ案内情報が、情報提供サーバ２０のプロセッサ２１によって作成され、画面１４０に表示される。ユーザＸが画面１４０に触れることによって、或いは出力装置１４のマイクロホンに向かって発声することによって、画面に表示された質問に対して回答すると、その回答の情報が、情報提供サーバ２０のプロセッサ２１によって取得される。情報提供サーバ２０のプロセッサ２１は、その回答を分析した結果に基づき、ユーザＸの健康状態を詳細に検出し、その検出結果に応じて、ユーザＸの健康状態に関する通知情報を生成する。 When the user X touches the message 144 displayed on the screen 140 of the output device 14 of the information input / output terminal 10 shown in FIG. 7B, the guidance information including information on the question about the health state of the user X is displayed as information. It is created by the processor 21 of the providing server 20 and displayed on the screen 140. When the user X answers the question displayed on the screen by touching the screen 140 or speaking to the microphone of the output device 14, the information of the answer is sent by the processor 21 of the information providing server 20. To be acquired. The processor 21 of the information providing server 20 detects the health state of the user X in detail based on the result of analyzing the answer, and generates notification information regarding the health state of the user X according to the detection result.
　図１０は、画面表示による特定のユーザＸの健康状態に関する質問の案内情報と、その質問に対する回答に基づく特定のユーザＸ向けの健康状態に関する通知情報出力を例示する図である。情報提供サーバ２０のプロセッサ２１が作成する案内情報及び通知情報の一部であるメッセージ１４５、１４８，１４９及び１５０が、例えば情報入出力端末１０の出力装置１４の画面１４０に表示されている例を、図１０は示している。図１０（ａ）において、画面１４０に表示されている「アンケート」というメッセージの下に表示されるメッセージ１５０には、ユーザＸの健康状態に関する質問の例として、「質問１：笑うことができたし、物事のおもしろい面もわかった」という記載と、この質問に対する回答の選択肢の例として「０．いつもと同様にできた」「１．あまりできなかった」「２．明らかにできなかった」「３．全くできなかった」という選択ボタンとが含まれている。ユーザＸが１つの選択ボタンに触れると、その選択ボタンに対応する選択肢の回答が、この質問１に対する回答として、情報提供サーバ２０のプロセッサ２１によって取得される。 FIG. 10 is a diagram exemplifying guidance information on a question regarding the health condition of a specific user X displayed on a screen and notification information output regarding a health condition for the specific user X based on an answer to the question. An example in which messages 145, 148, 149, and 150, which are part of the guidance information and notification information created by the processor 21 of the information providing server 20, are displayed on the screen 140 of the output device 14 of the information input / output terminal 10, for example. FIG. 10 shows this. In FIG. 10A, the message 150 displayed under the message “Questionnaire” displayed on the screen 140 is “Question 1: I was able to laugh as an example of a question regarding the health condition of the user X”. "I also found the interesting aspects of things" and examples of answer options for this question were "0. I was able to do it as usual", "1. I couldn't do it much", "2. A selection button “3. Not at all” is included. When the user X touches one selection button, an answer of an option corresponding to the selection button is acquired by the processor 21 of the information providing server 20 as an answer to the question 1.
　図１０（ｂ）において、メッセージ１４８には、「あなたの育児負担はかなり大きいようです。産後うつ病罹患の疑いがある場合は、早期に医療機関に相談して頂くことをおすすめしています。」と記載されている。ユーザＸが画面１４０に表示されている「医療機関等連絡先」と記載されたメッセージ１４５に触れると、具体的な医療機関等連絡先が表示される。メッセージ１４５及び１４８は、いずれもユーザＸに対して医師が介入する機会を生じさせ得る表示となっている。ユーザＸが画面１４０に表示されている「アンケート回答分析結果詳細」と記載されたメッセージ１４９に触れると、アンケート回答分析結果の詳細が表示される。 In FIG. 10 (b), the message 148 says, “Your childcare burden seems to be considerable. If you suspect that you have postpartum depression, we recommend that you consult a medical institution at an early stage. Is described. When the user X touches the message 145 described as “contact information such as medical institution” displayed on the screen 140, a specific contact information such as medical institution is displayed. The messages 145 and 148 are both displays that may give the user X an opportunity to intervene. When the user X touches the message 149 described as “details of questionnaire response analysis result” displayed on the screen 140, the details of the questionnaire response analysis result are displayed.
　図１１は、情報提供サーバ２０で走行するコンピュータプログラムにより実行される処理内容を例示する図である。情報提供サーバ２０のプロセッサ２１は、メモリ２２に格納されているコンピュータプログラムを起動し、図１１に示す処理内容を実行することによって、情報取得処理部２１１、検出処理部２１２及び情報生成処理部２１３として機能する。 FIG. 11 is a diagram illustrating processing contents executed by a computer program running on the information providing server 20. The processor 21 of the information providing server 20 activates a computer program stored in the memory 22 and executes the processing content shown in FIG. 11, thereby obtaining an information acquisition processing unit 211, a detection processing unit 212, and an information generation processing unit 213. Function as.
　ステップＳ１１１０において、情報取得処理部２１１は、通信モジュール２３を介し、情報入出力端末１０からユーザの育児記録情報を取得する。育児記録情報には、時刻に関する時刻情報と、その時刻におけるそのユーザの子供が何らかの状態にあることに関する状態情報とが含まれる。その状態とは、例えば夜泣きをしている状態、睡眠している状態、及び／又は授乳がされている状態である。ステップＳ１１２０において、情報取得処理部２１１は、取得した育児記録情報を記憶装置２４に書き込んで保存する。 In step S1110, the information acquisition processing unit 211 acquires the child-care record information of the user from the information input / output terminal 10 via the communication module 23. The child-care record information includes time information regarding the time and state information regarding that the user's child at that time is in some state. The state is, for example, a state of crying at night, a state of sleeping, and / or a state of breast feeding. In step S1120, the information acquisition processing unit 211 writes and stores the acquired child-care record information in the storage device 24.
　ステップＳ１１３０において、プロセッサ２１は、所定期間、例えば０８：００から翌日０８：００までの２４時間が経過したか否かを判定する。否定判定の場合、図１１に示す処理は終了する。肯定判定の場合、ステップＳ１１４０において、検出処理部２１２は、情報入出力端末１０から取得されたユーザの育児記録情報に基づき、そのユーザの子供の夜泣きの発生確率、その子供の最長睡眠発生時刻の頻度分布、及び／又はその子供への授乳間隔等に関する、過去２４時間分の履歴情報を記憶装置２４から読み出して取得する。このとき、検出処理部２１２は、ある特定のユーザの履歴情報とともに、他のユーザの履歴情報も比較用情報として取得し、それらの履歴情報を比較する。 In step S1130, the processor 21 determines whether or not a predetermined period, for example, 24 hours from 08:00 to 08:00 on the next day has elapsed. In the case of negative determination, the process shown in FIG. 11 ends. In the case of an affirmative determination, in step S1140, the detection processing unit 212 determines the occurrence probability of the child's night cry, the child's longest sleep occurrence time, based on the user's childcare record information acquired from the information input / output terminal 10. The history information for the past 24 hours related to the frequency distribution and / or the breast feeding interval to the child is read from the storage device 24 and acquired. At this time, the detection processing unit 212 acquires the history information of other users as comparison information together with the history information of a specific user, and compares the history information.
　ステップＳ１１５０において、検出処理部２１２は、特定のユーザの履歴情報と他のユーザの履歴情報に基づく比較用情報とを比較することによって、特定のユーザに生じる育児負担を検出する。ステップＳ１１６０において、情報生成処理部２１３は、検出処理部２１２により比較された履歴情報（比較用情報）と検出された特定のユーザに生じる育児負担とに応じて、その特定のユーザへ提供する案内情報を生成する。情報生成処理部２１３によって生成された案内情報は、情報入出力端末１０の出力装置１４を通じてその特定のユーザに伝達される。 In step S1150, the detection processing unit 212 detects the childcare burden caused to the specific user by comparing the specific user's history information with the comparison information based on the other user's history information. In step S <b> 1160, the information generation processing unit 213 provides guidance to the specific user according to the history information (comparison information) compared by the detection processing unit 212 and the detected childcare burden caused by the specific user. Generate information. The guidance information generated by the information generation processing unit 213 is transmitted to the specific user through the output device 14 of the information input / output terminal 10.
　案内情報を知ったユーザが、自分自身の健康状態に関するアンケートに回答する意思表示をすると、ステップＳ１１７０における「健康状態に関するアンケートを実施？」という条件判定は、プロセッサ２１によって肯定され、そのユーザの健康状態に関する質問の情報を含む案内情報が情報生成処理部２１３によって生成され、情報入出力端末１０の出力装置１４を通じてその特定のユーザに伝達される。そのユーザがその質問に回答すると、その回答の情報を情報取得処理部２１１が取得する。案内情報を知ったユーザが、自分自身の健康状態に関するアンケートに回答する意思表示をしないと、ステップＳ１１７０における「健康状態に関するアンケートを実施？」という条件判定は、プロセッサ２１によって否定され、図１１に示す処理は終了する。 When the user who knows the guidance information makes an intention to answer the questionnaire regarding his / her own health condition, the condition determination “Is the questionnaire regarding the health condition?” In step S1170 is affirmed by the processor 21, and the user's health Guidance information including information on the question about the state is generated by the information generation processing unit 213 and transmitted to the specific user through the output device 14 of the information input / output terminal 10. When the user answers the question, the information acquisition processing unit 211 acquires information on the answer. If the user who knows the guidance information does not indicate his / her intention to answer the questionnaire regarding his / her own health condition, the processor 21 rejects the condition determination of “Implement a questionnaire regarding the health condition?” In step S1170. The process shown ends.
　ステップＳ１１８０において、検出処理部２１２は、情報取得処理部２１１によって取得された回答に基づき、その特定のユーザの健康状態をさらに検出し、その検出結果に応じて、その特定のユーザの健康状態に関する通知情報を、情報生成処理部２１３が生成すると、図１１に示す処理は終了する。 In step S1180, the detection processing unit 212 further detects the health state of the specific user based on the answer acquired by the information acquisition processing unit 211, and relates to the health state of the specific user according to the detection result. When the information generation processing unit 213 generates the notification information, the process illustrated in FIG. 11 ends.
　なお、上述した情報入出力端末１０及び／又は情報提供サーバ２０で走行するコンピュータプログラムは、ＣＤ－ＲＯＭやＵＳＢメモリ等の記録媒体４５や、インターネット等の通信ネットワーク３０を流れるデータ信号を通じて情報入出力端末１０及び／又は情報提供サーバ２０へ提供することができる。図１２は、その様子を示す図であり、すなわち情報入出力端末１０及び／又は情報提供サーバ２０で走行するコンピュータプログラムの製品供給態様を例示する図である。 The computer program running on the information input / output terminal 10 and / or the information providing server 20 described above is used for information input / output through a recording medium 45 such as a CD-ROM or a USB memory, or a data signal flowing through a communication network 30 such as the Internet. It can be provided to the terminal 10 and / or the information providing server 20. FIG. 12 is a diagram showing this state, that is, a diagram illustrating a product supply mode of a computer program running on the information input / output terminal 10 and / or the information providing server 20.
　上述したように、情報入出力端末１０は、例えば、パーソナルコンピュータ１０ａ、携帯電話機やタブレットコンピュータ等の携帯端末１０ｂ、及び／又はスマートスピーカ１０ｃである。情報入出力端末１０及び／又は情報提供サーバ２０は、記録媒体４５を介してコンピュータプログラムの提供を受ける。また、情報入出力端末１０及び情報提供サーバ２０は通信モジュール１５及び２３をそれぞれ介して通信ネットワーク３０との接続機能を有する。コンピュータプログラム提供サーバ４０は、上記コンピュータプログラムを提供するサーバコンピュータであり、ハードディスク等の記録媒体４１０にプログラムを格納する。通信ネットワーク３０は、インターネット、無線ＬＡＮ、電話網、或いは専用線等である。コンピュータプログラム提供サーバ４０は記録媒体４１０を使用してプログラムを読み出し、通信ネットワーク３０を介してコンピュータプログラムを情報入出力端末１０及び／又は情報提供サーバ２０に送信する。すなわち、コンピュータプログラムをデータ信号として搬送波に載せ、通信ネットワーク３０を介して送信する。このように、コンピュータプログラムは、記録媒体やデータ信号（搬送波）などの種々の形態のコンピュータ読み込み可能なコンピュータプログラム製品として供給できる。 As described above, the information input / output terminal 10 is, for example, a personal computer 10a, a mobile terminal 10b such as a mobile phone or a tablet computer, and / or a smart speaker 10c. The information input / output terminal 10 and / or the information providing server 20 is provided with a computer program via the recording medium 45. Further, the information input / output terminal 10 and the information providing server 20 have a connection function with the communication network 30 via the communication modules 15 and 23, respectively. The computer program providing server 40 is a server computer that provides the computer program, and stores the program in a recording medium 410 such as a hard disk. The communication network 30 is the Internet, a wireless LAN, a telephone network, a dedicated line, or the like. The computer program providing server 40 reads the program using the recording medium 410 and transmits the computer program to the information input / output terminal 10 and / or the information providing server 20 via the communication network 30. That is, the computer program is loaded on a carrier wave as a data signal and transmitted via the communication network 30. As described above, the computer program can be supplied as a computer readable computer program product in various forms such as a recording medium and a data signal (carrier wave).
　本実施の形態における情報提供サーバ２０と情報入出力端末１０とを含む情報提供システム１によれば、以下の作用効果が得られる。 According to the information providing system 1 including the information providing server 20 and the information input / output terminal 10 in the present embodiment, the following operational effects can be obtained.
　情報提供サーバ２０は、特定のユーザＸを含む複数のユーザがそれぞれ子供を養育する際の育児記録を示す情報を含む育児記録情報５０を取得する情報取得処理部２１１と、特定のユーザＸの育児記録情報５０と、複数のユーザのうちの少なくとも一部のユーザの育児記録情報に基づく比較用情報（子供の夜泣きの発生確率の平均値、子供の最長睡眠発生時刻の平均頻度分布、又は子供への授乳間隔の統計値）とを比較することによって、特定のユーザＸに生じる育児負担を検出する検出処理部２１２と、特定のユーザＸの育児記録情報５０及び育児負担に応じて、特定のユーザＸへ提供する案内情報を生成する情報生成処理部２１３とを有する。したがって、特定のユーザＸが育児負担の程度を自覚できるとともに、育児負担の程度が大きいときは、産後うつ病罹患を疑うことができるという効果が得られる。 The information providing server 20 includes an information acquisition processing unit 211 that acquires childcare record information 50 including information indicating childcare records when a plurality of users including the specific user X raise a child, and childcare of the specific user X Information for comparison based on record information 50 and childcare record information of at least some of a plurality of users (average value of occurrence probability of child's night cry, average frequency distribution of child's longest sleep occurrence time, or to child) And the detection processing unit 212 for detecting the childcare burden caused by the specific user X, and the specific user X according to the childcare record information 50 and the childcare burden of the specific user X. And an information generation processing unit 213 that generates guide information to be provided to X. Therefore, it is possible to obtain an effect that the specific user X can be aware of the degree of childcare burden and can suspect postpartum depression when the childcare burden is large.
　次のような変形も本発明の範囲内であり、変形例の一つ、もしくは複数を上述の実施形態と組み合わせることも可能である。 The following modifications are also within the scope of the present invention, and one or a plurality of modifications can be combined with the above-described embodiment.
（変形例１）
　上述の実施形態において、情報入出力端末１０は、例えば、パーソナルコンピュータ１０ａ、携帯電話機やタブレットコンピュータ等の携帯端末１０ｂ、及び／又はスマートスピーカ１０ｃであり、入力装置１３及び出力装置１４を一体的に内蔵する。しかし、情報入出力端末１０において、入力装置１３と出力装置１４とが、それぞれ通信機能を有し、それぞれ物理的に独立した装置として設けられてもよい。入力装置１３は、例えば、カメラ、体温計及び／又はその他の生体センサであり、収集した画像、温度情報及び／又はその他の生体情報に基づく上述の育児記録情報が、通信ネットワーク３０を介して情報提供サーバ２０のプロセッサ２１によって取得されることとしてもよい。出力装置１４は、例えば、携帯端末及び／又はスマートスピーカであり、通信ネットワーク３０を介して情報提供サーバ２０から取得された上述の案内情報を、画面又は音声により出力する。この場合、ユーザにとっては、入力装置１３を介して育児記録情報を入力する手間を軽減できるという効果が得られる。なお、上述した生体情報は、心拍、体温、呼吸、血中酸素濃度、発汗、体動、寝相等に関する情報である。 (Modification 1)
In the above-described embodiment, the information input / output terminal 10 is, for example, a personal computer 10a, a mobile terminal 10b such as a mobile phone or a tablet computer, and / or a smart speaker 10c, and the input device 13 and the output device 14 are integrated. Built in. However, in the information input / output terminal 10, the input device 13 and the output device 14 may each be provided as a device that has a communication function and is physically independent of each other. The input device 13 is, for example, a camera, a thermometer, and / or other biological sensors, and the above-described childcare record information based on the collected images, temperature information, and / or other biological information is provided via the communication network 30. It may be acquired by the processor 21 of the server 20. The output device 14 is, for example, a mobile terminal and / or a smart speaker, and outputs the above-described guidance information acquired from the information providing server 20 via the communication network 30 with a screen or sound. In this case, it is possible for the user to reduce the trouble of inputting the child-care record information via the input device 13. The biological information described above is information relating to heartbeat, body temperature, respiration, blood oxygen concentration, sweating, body movement, sleep phase, and the like.
（変形例２）
　上述の実施形態において、情報提供サーバ２０のプロセッサ２１によって、情報入出力端末１０から取得される育児記録情報５０は、図２に例示されるように、子供が夜泣きをしている状態を表す状態情報と、その夜泣きが発生した時刻に関する時刻情報とを含む。しかし、これらの情報は必ずしも育児記録情報に含まれなくてもよい。育児記録情報が、子供の睡眠状態が開始されたことに関する状態情報と、その子供の入眠時刻に関する時刻情報と、子供の睡眠状態が終了したことに関する状態情報と、その子供の覚醒時刻に関する時刻情報とを含むならば、例えば、夜間帯において覚醒時刻から次の入眠時刻までの間は夜泣きが発生しているとみなし、その覚醒時刻を夜泣きの発生時刻として扱うこととしてもよい。 (Modification 2)
In the above-described embodiment, the child-care record information 50 acquired from the information input / output terminal 10 by the processor 21 of the information providing server 20 is a state representing a state where the child is crying at night as illustrated in FIG. Information and time information regarding the time when the night crying occurred. However, such information does not necessarily have to be included in the childcare record information. Childcare record information includes state information regarding the start of a child's sleep state, time information regarding the child's sleep time, state information regarding the end of the child's sleep state, and time information regarding the child's awakening time For example, it may be considered that night crying occurs from the awakening time to the next sleep time in the night zone, and the awakening time may be treated as the night crying occurrence time.
　育児記録情報が、子供への授乳が発生したことに関する状態情報と、その授乳が発生した授乳時刻に関する時刻情報とを含むならば、例えば、夜間帯において子供への授乳が発生したときは夜泣きが発生しているとみなし、その授乳時刻を夜泣きの発生時刻として扱うこととしてもよい。育児記録情報が、子供の排泄に関する排泄情報と、その排泄が発生した時刻又は子供のおむつを取り換えた時刻に関する時刻情報とを含むならば、例えば、夜間帯において子供の排泄が発生したときは夜泣きが発生しているとみなし、その排泄が発生した時刻又は子供のおむつを取り換えた時刻を夜泣きの発生時刻として扱うこととしてもよい。このようにすることによって、ユーザにとっては、入力装置１３を介して育児記録情報を入力する手間を軽減できるという効果が得られる。 If the childcare record information includes status information about the occurrence of breastfeeding to the child and time information about the breastfeeding time at which the breastfeeding occurred, for example, when a child breastfeeds during the night, It is also possible to treat the feeding time as the occurrence time of night crying, assuming that it has occurred. If the childcare record information includes excretion information related to the excretion of the child and time information related to the time when the excretion occurred or the time when the child's diaper was changed, for example, when the excretion of the child occurs during the night, It is also possible to treat the time when the excretion occurs or the time when the child's diaper is changed as the time when the night crying occurs. By doing in this way, the effect that the effort which inputs child care record information via the input device 13 can be reduced can be acquired for a user.
（変形例３）
　上述した図７の説明において、具体的な医療機関等連絡先は、図７（ｂ）に例示される情報入出力端末１０の出力装置１４の画面１４０に表示されている「医療機関等連絡先」と記載されたメッセージ１４５に触れると表示される。しかし、ユーザＸに生じる育児負担が大きいときは、医療機関の早期介入が好ましい可能性も考えられる。そのため、図７（ａ）又は図７（ｂ）に例示される画面１４０に、具体的な医療機関等連絡先が表示されることとしてもよい。或いは図７に例示されるような案内情報出力のタイミングを待たずに、プッシュ通知によって、画面１４０に具体的な医療機関等連絡先が表示されることとしてもよい。その他、具体的な医療機関等からのメッセージ通知、メール送信、電話連絡等がされることとしてもよい。 (Modification 3)
In the description of FIG. 7 described above, the specific medical institution contact information is “medical institution contact information” displayed on the screen 140 of the output device 14 of the information input / output terminal 10 illustrated in FIG. It is displayed when a message 145 with “ However, when the burden of childcare on the user X is large, there is a possibility that early intervention by a medical institution is preferable. Therefore, a specific contact information such as a medical institution may be displayed on the screen 140 illustrated in FIG. 7A or 7B. Alternatively, a specific contact information such as a medical institution may be displayed on the screen 140 by push notification without waiting for the output timing of the guidance information as illustrated in FIG. In addition, message notification from a specific medical institution, e-mail transmission, telephone contact, and the like may be performed.
（変形例４）
　上述した図１１の説明において、ステップＳ１１１０及びＳ１１２０に例示される育児記録情報の収集処理と、ステップＳ１１４０及びＳ１１５０に例示される育児負担の分析処理と、ステップＳ１１６０に例示される案内情報の生成処理と、ステップＳ１１８０に例示される通知情報の生成処理とは、同期処理にて実行される。しかし、これらの処理が非同期処理にて実行されることとしてもよい。例えば、収集処理が常時走行する一方、その収集処理負荷が低下する深夜等の時間帯に限って分析処理が走行し、日中等の時間帯にユーザが育児記録情報を入力する間に限って案内情報及び／又は通知情報の生成処理が走行することとしてもよい。このようにすることで、例えば育児記録情報の欠損値が遅れて入力された場合であっても、分析処理が走行する前までにその入力が間に合うことで、その分析処理の精度が向上するという効果が得られる。なお、情報入出力端末１０の出力装置１４における案内情報及び／又は通知情報の出力は、図７、図８及び図９に例示される態様に限られない。 (Modification 4)
In the description of FIG. 11 described above, childcare record information collection processing exemplified in steps S1110 and S1120, childcare burden analysis processing exemplified in steps S1140 and S1150, and guidance information generation processing exemplified in step S1160. And the notification information generation processing exemplified in step S1180 is executed in the synchronization processing. However, these processes may be executed in an asynchronous process. For example, while the collection process is always running, the analysis process is run only during a time zone such as midnight when the collection processing load is reduced, and guidance is provided only while the user inputs childcare record information during the daytime etc. The generation process of information and / or notification information may be run. By doing so, for example, even if a missing value of childcare record information is input with a delay, the input can be made in time before the analysis process travels, thereby improving the accuracy of the analysis process. An effect is obtained. Note that the output of the guidance information and / or notification information in the output device 14 of the information input / output terminal 10 is not limited to the mode illustrated in FIGS. 7, 8, and 9.
（変形例５）
　上述の実施形態及び変形例の情報提供システム１において、情報提供サーバ２０は、特定のユーザＸ及び他のユーザの育児記録情報をそれぞれ取得及び保存するともに、それぞれの育児記録情報に基づく過去２４時間分の履歴情報を互いに比較するために読み出す。しかし、情報提供システム１の構成要素として、情報提供サーバ２０とは別に情報処理サーバ２５を設けてもよい。特定のユーザＸの育児記録情報を取得及び保存する処理と、その育児記録情報に基づく過去２４時間分の履歴情報を読み出して比較用情報を生成する処理とを、情報提供サーバ２０ではなく情報処理サーバ２５が行う。情報提供サーバ２０は、特定のユーザＸの育児記録情報を取得及び保存する処理と、その育児記録情報に基づく過去２４時間分の履歴情報を読み出す処理とを行う。情報提供サーバ２０は、その特定のユーザＸの履歴情報と、情報処理サーバ２５によって生成された比較用情報とを比較して、その特定のユーザＸに生じる育児負担を検出する。 (Modification 5)
In the information providing system 1 of the above-described embodiment and the modified example, the information providing server 20 acquires and stores the child-care record information of the specific user X and other users, and the past 24 hours based on the child-care record information. The minute history information is read out for comparison with each other. However, an information processing server 25 may be provided separately from the information providing server 20 as a component of the information providing system 1. The process of acquiring and storing the childcare record information of the specific user X and the process of reading out the history information for the past 24 hours based on the childcare record information and generating the comparison information are not information processing server 20 but information processing. Performed by the server 25. The information providing server 20 performs a process of acquiring and storing childcare record information of a specific user X and a process of reading history information for the past 24 hours based on the childcare record information. The information providing server 20 compares the history information of the specific user X with the comparison information generated by the information processing server 25, and detects the childcare burden caused to the specific user X.
　図１３は、変形例５における情報提供システム１を示す図である。図１３（ａ）において、情報提供システム１は、情報提供サーバ２０と情報処理サーバ２５と情報入出力端末１０ａ及び１０ｂとを含み、情報提供サーバ２０と情報処理サーバ２５と情報入出力端末１０ａ及び１０ｂとが通信ネットワーク３０を介して互いに接続されている。図１３（ａ）に示す情報提供サーバ２０の構成は図１（ｃ）と同じ構成でよいが、情報提供サーバ２０の情報取得処理部２１１、検出処理部２１２及び情報生成処理部２１３の機能の一部が行われない点で相違する。すなわち、複数のユーザの育児記録情報を情報入出力端末１０ａ及び１０ｂから取得及び保存する処理と、その育児記録情報に基づく過去２４時間分の履歴情報を読み出して比較用情報を生成する処理とが、情報提供サーバ２０ではなく情報処理サーバ２５で行われる。 FIG. 13 is a diagram showing the information providing system 1 in the fifth modification. 13A, the information providing system 1 includes an information providing server 20, an information processing server 25, and information input / output terminals 10a and 10b. The information providing server 20, the information processing server 25, the information input / output terminal 10a, and 10b are connected to each other via a communication network 30. The configuration of the information providing server 20 illustrated in FIG. 13A may be the same as that illustrated in FIG. 1C, but the functions of the information acquisition processing unit 211, the detection processing unit 212, and the information generation processing unit 213 of the information providing server 20 are illustrated. The difference is that some are not done. That is, a process of acquiring and storing childcare record information of a plurality of users from the information input / output terminals 10a and 10b, and a process of reading out history information for the past 24 hours based on the childcare record information and generating comparison information. This is performed by the information processing server 25 instead of the information providing server 20.
　図１３（ｂ）に示すように、情報処理サーバ２５は、プロセッサ２６、メモリ２７、通信モジュール２８及び記憶装置２９を有する。プロセッサ２６が、メモリ２７に格納されているコンピュータプログラムを起動することによって、通信モジュール２８の動作、記憶装置２９への情報の書き込み、及び記憶装置２９からの情報の読み出しを制御するとともに、情報取得処理部２６１、検出処理部２６２及び情報生成処理部２６３として機能する。通信モジュール２８は、情報処理サーバ２５と、情報入出力端末１０ａ及び１０ｂならびに情報提供サーバ２０とがそれぞれ通信ネットワーク３０を介して互いに接続されるための、無線通信機能又は有線通信機能を有する。プロセッサ２６の情報取得処理部２６１は、複数のユーザの育児記録情報を、通信モジュール２８を介して情報入出力端末１０ａ及び１０ｂから取得し、記憶装置２９に書き込む。プロセッサ２６の検出処理部２６２は、情報取得処理部２６１によって書き込まれた複数のユーザの育児記録情報からなる過去２４時間分の履歴情報を記憶装置２９から読み出す。プロセッサ２６の情報生成処理部２６３は、検出処理部２６２によって読み出された履歴情報に基づいて比較用情報を生成し、自律的に、又は情報提供サーバ２０からの配信要求に対する応答として、その比較用情報を、通信モジュール２８を介して情報提供サーバ２０へ配信する。 As shown in FIG. 13B, the information processing server 25 includes a processor 26, a memory 27, a communication module 28, and a storage device 29. The processor 26 activates the computer program stored in the memory 27 to control the operation of the communication module 28, the writing of information to the storage device 29, and the reading of information from the storage device 29, and the acquisition of information. It functions as a processing unit 261, a detection processing unit 262, and an information generation processing unit 263. The communication module 28 has a wireless communication function or a wired communication function for connecting the information processing server 25, the information input / output terminals 10a and 10b, and the information providing server 20 to each other via the communication network 30. The information acquisition processing unit 261 of the processor 26 acquires child care record information of a plurality of users from the information input / output terminals 10 a and 10 b via the communication module 28 and writes them in the storage device 29. The detection processing unit 262 of the processor 26 reads history information for the past 24 hours, which is composed of the child-care record information of a plurality of users written by the information acquisition processing unit 261, from the storage device 29. The information generation processing unit 263 of the processor 26 generates comparison information based on the history information read by the detection processing unit 262, and compares the information autonomously or as a response to the distribution request from the information providing server 20. The business information is distributed to the information providing server 20 via the communication module 28.
　情報提供サーバ２０は、自ら取得した特定のユーザＸの履歴情報と、情報処理サーバ２５から配信された比較用情報とを比較して、その特定のユーザＸに生じる育児負担を検出し、その育児負担と比較用情報とに応じて、その特定のユーザＸへ提供する案内情報を生成する。生成されたその案内情報は、特定のユーザＸの情報入出力端末１０ａ若しくは１０ｂ、又は通信ネットワーク３０を介して情報提供サーバ２０と接続される不図示の情報入出力端末の出力装置１４を通じてその特定のユーザＸに伝達される。情報提供システム１の構成要素として、情報提供サーバ２０とは別に情報処理サーバ２５を設けられるため、情報提供サーバ２０のオペレーションを行う事業者Ａと、情報処理サーバ２５のオペレーションを行う事業者Ｂとが、同一事業者であってもよいし、相異なる事業者であっても良い。 The information providing server 20 compares the history information of the specific user X acquired by itself with the comparison information distributed from the information processing server 25, detects the childcare burden caused by the specific user X, and the childcare In accordance with the burden and the information for comparison, guidance information to be provided to the specific user X is generated. The generated guidance information is specified through the information input / output terminal 10a or 10b of the specific user X or the output device 14 of the information input / output terminal (not shown) connected to the information providing server 20 via the communication network 30. To user X. Since the information processing server 25 is provided separately from the information providing server 20 as a component of the information providing system 1, the operator A that operates the information providing server 20, and the operator B that operates the information processing server 25 However, they may be the same company or different companies.
　本発明の特徴的な機能を損なわない限り、本発明は、上述した実施の形態および変形例における構成に何ら限定されない。 Unless the characteristic functions of the present invention are impaired, the present invention is not limited to the configurations in the above-described embodiments and modifications.
１　情報提供システム、１０　情報入出力端末、１１　プロセッサ、１２　メモリ、１３　入力装置、１４　出力装置、１５　通信モジュール、２０　情報提供サーバ、２１　プロセッサ、２２　メモリ、２３　通信モジュール、２４　記憶装置、２５　情報処理サーバ、２６　プロセッサ、２７　メモリ、２８　通信モジュール、２９　記憶装置、３０　通信ネットワーク、４０　コンピュータプログラム提供サーバ、４５　記録媒体、５０　育児記録情報、６１，６２，６３，６４，６５，６６　折れ線グラフ、７１，７２，７３，７４，７５，７６　折れ線グラフ、１４０　画面、１４１，１４２，１４３，１４４，１４５，１４６，１４７，１４８，１４９，１５０　メッセージ、２１１　情報取得処理部、２１２　検出処理部、２１３　情報生成処理部、２６１　情報取得処理部、２６２　検出処理部、２６３　情報生成処理部、４１０　記録媒体
 
  DESCRIPTION OF SYMBOLS 1 Information provision system, 10 Information input / output terminal, 11 Processor, 12 Memory, 13 Input device, 14 Output device, 15 Communication module, 20 Information provision server, 21 Processor, 22 Memory, 23 Communication module, 24 Storage device, 25 Information Processing server, 26 processor, 27 memory, 28 communication module, 29 storage device, 30 communication network, 40 computer program providing server, 45 recording medium, 50 childcare record information, 61, 62, 63, 64, 65, 66 line graph, 71, 72, 73, 74, 75, 76 Line graph, 140 screens, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150 messages, 211 information acquisition processing unit, 212 detection processing unit, 213 Information generation processing unit, 261 information acquisition Management unit, 262 detection processing section, 263 information generation processing unit, 410 recording medium

Claims (14)

  1. 　複数のユーザがそれぞれ子供を養育する際の育児記録を示す情報を含む育児記録情報のうち、少なくとも、特定のユーザの前記育児記録情報を取得する情報取得処理部と、
    　前記特定のユーザの前記育児記録情報と、前記複数のユーザのうちの少なくとも一部のユーザの前記育児記録情報に基づく比較用情報とを比較することによって、前記特定のユーザに生じる育児負担を検出する検出処理部と、
    　前記特定のユーザの前記育児記録情報及び前記育児負担に応じて、前記特定のユーザへ提供する案内情報を生成する情報生成処理部とを備える、
    　情報提供装置。     Among childcare record information including information indicating childcare records when a plurality of users raise their children, at least an information acquisition processing unit that acquires the childcare record information of a specific user;
    The childcare burden caused to the specific user is detected by comparing the childcare record information of the specific user with comparison information based on the childcare record information of at least some of the plurality of users. A detection processing unit to
    An information generation processing unit that generates guidance information to be provided to the specific user according to the childcare record information and the childcare burden of the specific user;
    Information providing device.
  2. 　請求項１に記載の情報提供装置において、
    　前記育児記録情報は、前記子供の状態に関する状態情報と、前記状態の発生時刻に関する時刻情報とを含み、
    　前記検出処理部は、前記特定のユーザの前記状態情報及び前記時刻情報と、前記少なくとも一部のユーザの前記状態情報及び前記時刻情報に基づく前記比較用情報とを比較することによって、前記育児負担を検出する、
    　情報提供装置。     The information providing apparatus according to claim 1,
    The child-care record information includes state information relating to the child state, and time information relating to the occurrence time of the state,
    The detection processing unit compares the status information and the time information of the specific user with the comparison information based on the status information and the time information of the at least some users, thereby providing the childcare burden. Detect
    Information providing device.
  3. 　請求項２に記載の情報提供装置において、
    　前記検出処理部は、前記特定のユーザの前記状態情報及び前記時刻情報と、前記少なくとも一部のユーザの前記状態情報及び前記時刻情報に基づく前記比較用情報との比較として、
    　　前記状態情報及び前記時刻情報に基づき、前記状態の発生確率、前記状態の発生頻度分布及び前記状態の発生間隔のうちの少なくとも一種類の履歴情報を取得し、
    　　前記特定のユーザに対応する前記少なくとも一種類の履歴情報と、前記少なくとも一部のユーザに対応する前記少なくとも一種類の履歴情報である前記比較用情報とを比較する、
    　情報提供装置。     The information providing apparatus according to claim 2,
    The detection processing unit is configured to compare the state information and time information of the specific user with the comparison information based on the state information and time information of the at least some users.
    Based on the state information and the time information, obtain at least one type of history information among the occurrence probability of the state, the occurrence frequency distribution of the state, and the occurrence interval of the state,
    Comparing the at least one type of history information corresponding to the specific user with the comparison information which is the at least one type of history information corresponding to the at least some users;
    Information providing device.
  4. 　請求項３に記載の情報提供装置において、
    　前記状態の前記発生確率は、所定期間内における前記子供の夜泣きの発生確率であって、
    　前記状態の前記発生頻度分布は、所定期間内において最も長く持続した前記子供の睡眠状態の発生時刻の頻度分布であって、
    　前記状態の前記発生間隔は、所定期間内における前記子供の授乳間隔である、
    　情報提供装置。     In the information provision apparatus of Claim 3,
    The occurrence probability of the state is an occurrence probability of the child's night crying within a predetermined period,
    The occurrence frequency distribution of the state is a frequency distribution of the occurrence time of the sleep state of the child lasting the longest in a predetermined period,
    The occurrence interval of the state is a feeding interval of the child within a predetermined period.
    Information providing device.
  5. 　請求項３又は請求項４に記載の情報提供装置において、
    　前記情報生成処理部は、前記特定のユーザの前記育児記録情報及び前記育児負担と、前記発生確率、前記発生頻度分布及び前記発生間隔の各々とに応じて、前記案内情報を生成する、
    　情報提供装置。     In the information provision apparatus of Claim 3 or Claim 4,
    The information generation processing unit generates the guidance information according to the childcare record information and the childcare burden of the specific user, and the occurrence probability, the occurrence frequency distribution, and the occurrence interval,
    Information providing device.
  6. 　請求項１から請求項５までのいずれか一項に記載の情報提供装置において、
    　前記案内情報は、前記特定のユーザの健康状態に関する質問の情報を含み、
    　前記情報取得処理部は、前記特定のユーザの前記質問に対する回答の情報をさらに取得し、
    　前記検出処理部は、前記回答に基づき前記健康状態をさらに検出し、
    　前記情報生成処理部は、前記検出処理部による前記健康状態の検出結果に応じて、前記特定のユーザ向けの前記健康状態に関する通知情報をさらに生成する、
    　情報提供装置。     In the information provision apparatus as described in any one of Claim 1- Claim 5,
    The guidance information includes information on questions regarding the health status of the specific user,
    The information acquisition processing unit further acquires information on an answer to the question of the specific user,
    The detection processing unit further detects the health condition based on the answer,
    The information generation processing unit further generates notification information related to the health condition for the specific user according to the detection result of the health condition by the detection processing unit.
    Information providing device.
  7. 　請求項１から請求項６までのいずれか一項に記載の情報提供装置と、
    　前記特定のユーザの前記育児記録情報が画面入力情報、音声入力情報、画像、温度情報及び生体情報のうちの少なくとも一つの情報として入力される入力装置と、
    　前記特定のユーザに対して前記案内情報を画面又は音声により出力する出力装置とを備える、
    　情報提供システム。     The information providing device according to any one of claims 1 to 6,
    An input device in which the child-care record information of the specific user is input as at least one of screen input information, voice input information, an image, temperature information, and biological information;
    An output device that outputs the guidance information by screen or voice to the specific user;
    Information provision system.
  8. 　請求項７に記載の情報提供システムにおいて、
    　前記複数のユーザの前記育児記録情報を取得し、前記少なくとも一部のユーザの前記育児記録情報に基づく前記比較用情報を生成する情報処理装置をさらに備える、
    　情報提供システム。     In the information provision system of Claim 7,
    An information processing device for acquiring the childcare record information of the plurality of users and generating the comparison information based on the childcare record information of the at least some users;
    Information provision system.
  9. 　複数のユーザがそれぞれ子供を養育する際の育児記録を示す情報を含む育児記録情報のうち、少なくとも、特定のユーザの前記育児記録情報を取得する情報取得処理機能と、
    　前記特定のユーザの前記育児記録情報と、前記複数のユーザのうちの少なくとも一部のユーザの前記育児記録情報に基づく比較用情報とを比較することによって、前記特定のユーザに生じる育児負担を検出する検出処理機能と、
    　前記特定のユーザの前記育児記録情報及び前記育児負担に応じて、前記特定のユーザへ提供する案内情報を生成する情報生成処理機能とを、
    　コンピュータに実現させるためのコンピュータプログラム。     Among childcare record information including information indicating childcare records when a plurality of users raise their children, at least an information acquisition processing function for acquiring the childcare record information of a specific user;
    The childcare burden caused to the specific user is detected by comparing the childcare record information of the specific user with comparison information based on the childcare record information of at least some of the plurality of users. Detection processing function to
    An information generation processing function for generating guidance information to be provided to the specific user according to the childcare record information and the childcare burden of the specific user,
    A computer program for realizing on a computer.
  10. 　請求項９に記載のコンピュータプログラムにおいて、
    　前記育児記録情報は、前記子供の状態に関する状態情報と、前記状態の発生時刻に関する時刻情報とを含み、
    　前記検出処理機能は、前記特定のユーザの前記状態情報及び前記時刻情報と、前記少なくとも一部のユーザの前記状態情報及び前記時刻情報に基づく前記比較用情報とを比較することによって、前記育児負担を検出することを含む、
    　コンピュータプログラム。     The computer program according to claim 9,
    The child-care record information includes state information relating to the child state, and time information relating to the occurrence time of the state,
    The detection processing function compares the status information and the time information of the specific user with the comparison information based on the status information and the time information of the at least some users, so that the childcare burden is increased. Including detecting,
    Computer program.
  11. 　請求項１０に記載のコンピュータプログラムにおいて、
    　前記検出処理機能は、前記特定のユーザの前記状態情報及び前記時刻情報と、前記少なくとも一部のユーザの前記状態情報及び前記時刻情報に基づく前記比較用情報との比較として、
    　　前記状態情報及び前記時刻情報に基づき、前記状態の発生確率、発生頻度分布及び発生間隔のうちの少なくとも一種類の履歴情報を取得することと、
    　　前記特定のユーザに対応する前記少なくとも一種類の履歴情報と、前記少なくとも一部のユーザに対応する前記少なくとも一種類の履歴情報である前記比較用情報とを比較することとを含む、
    　コンピュータプログラム。     The computer program according to claim 10.
    The detection processing function is a comparison between the state information and the time information of the specific user and the comparison information based on the state information and the time information of the at least some users.
    Acquiring at least one type of history information among the occurrence probability, occurrence frequency distribution, and occurrence interval of the state based on the state information and the time information;
    Comparing the at least one type of history information corresponding to the specific user with the comparison information which is the at least one type of history information corresponding to the at least some users.
    Computer program.
  12. 　請求項１１に記載のコンピュータプログラムにおいて、
    　前記状態の前記発生確率は、所定期間内における前記子供の夜泣きの発生確率であって、
    　前記状態の前記発生頻度分布は、所定期間内における前記子供の最長の睡眠時間の開始時刻の頻度分布であって、
    　前記状態の前記発生間隔は、所定期間内における前記子供の授乳間隔である、
    　コンピュータプログラム。     The computer program according to claim 11,
    The occurrence probability of the state is an occurrence probability of the child's night crying within a predetermined period,
    The occurrence frequency distribution of the state is a frequency distribution of the start time of the longest sleep time of the child within a predetermined period,
    The occurrence interval of the state is a feeding interval of the child within a predetermined period.
    Computer program.
  13. 　請求項１１又は請求項１２に記載のコンピュータプログラムにおいて、
    　前記情報生成処理機能は、前記特定のユーザの前記育児記録情報及び前記育児負担と、前記発生確率、前記発生頻度分布及び前記発生間隔の各々とに応じて、前記案内情報を生成することを含む、
    　コンピュータプログラム。     The computer program according to claim 11 or 12,
    The information generation processing function includes generating the guidance information according to the childcare record information and the childcare burden of the specific user, and the occurrence probability, the occurrence frequency distribution, and the occurrence interval. ,
    Computer program.
  14. 　請求項９から請求項１３までのいずれか一項に記載のコンピュータプログラムにおいて、
    　前記案内情報は、前記特定のユーザの健康状態に関する質問の情報を含み、
    　前記情報取得処理機能は、前記特定のユーザの前記質問に対する回答の情報をさらに取得することを含み、
    　前記検出処理機能は、前記回答に基づき前記健康状態をさらに検出することを含み、
    　前記情報生成処理機能は、前記検出処理機能による前記健康状態の検出結果に応じて、前記特定のユーザ向けの前記健康状態に関する通知情報をさらに生成することを含む、
    　コンピュータプログラム。
          The computer program according to any one of claims 9 to 13,
    The guidance information includes information on questions regarding the health status of the specific user,
    The information acquisition processing function further includes acquiring information of an answer to the question of the specific user,
    The detection processing function includes further detecting the health condition based on the answer,
    The information generation processing function includes further generating notification information about the health condition for the specific user according to a detection result of the health condition by the detection processing function.
    Computer program.
PCT/JP2018/021878 2018-06-07 2018-06-07 Information providing device, information providing system, and computer program WO2019234883A1 (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6937063B1 (en) * 2020-09-02 2021-09-22 株式会社ファーストアセント Infant wake-up support system
JP6988034B1 (en) * 2021-04-13 2022-01-05 国立大学法人東海国立大学機構 Pregnant woman depressive symptom estimation system and estimation method, estimation model generator
WO2023032205A1 (en) * 2021-09-06 2023-03-09 日本電信電話株式会社 Data processing device, method, and program
WO2024009477A1 (en) * 2022-07-07 2024-01-11 日本電信電話株式会社 Survey explanation generation device, survey explanation generation method, and program

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008108175A (en) * 2006-10-27 2008-05-08 Sharp Corp Information management system, information management server, terminal device, information management program, and storage medium
JP2018061769A (en) * 2016-10-14 2018-04-19 大日本印刷株式会社 Information processing device, information processing system and program

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008108175A (en) * 2006-10-27 2008-05-08 Sharp Corp Information management system, information management server, terminal device, information management program, and storage medium
JP2018061769A (en) * 2016-10-14 2018-04-19 大日本印刷株式会社 Information processing device, information processing system and program

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
KANAZAWA , RINA: "A Study of a Baby's Life-log for a baby Care support", IEICE TECHNICAL REPORT, vol. 112, no. 302, 12 November 2002 (2002-11-12), pages 29 - 33, XP055661665 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6937063B1 (en) * 2020-09-02 2021-09-22 株式会社ファーストアセント Infant wake-up support system
WO2022049683A1 (en) * 2020-09-02 2022-03-10 株式会社ファーストアセント Infant wake-up assistance system
JP6988034B1 (en) * 2021-04-13 2022-01-05 国立大学法人東海国立大学機構 Pregnant woman depressive symptom estimation system and estimation method, estimation model generator
WO2022219702A1 (en) * 2021-04-13 2022-10-20 国立大学法人東海国立大学機構 Maternal depression symptom estimation system, estimation method, and estimation model generation device
WO2023032205A1 (en) * 2021-09-06 2023-03-09 日本電信電話株式会社 Data processing device, method, and program
WO2024009477A1 (en) * 2022-07-07 2024-01-11 日本電信電話株式会社 Survey explanation generation device, survey explanation generation method, and program

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