A system and method for creating an updatable output data structure by cross-processing parent user device data with child device usage records.
Patent Information
- Application Number
- TR202612080
- Authority / Receiving Office
- TR · TR
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2026-07-20
- Publication Date
- 2026-09-21
Smart Images
Figure 00000020_0000
Abstract
Description
1 TARIFF PARENTAL DEVICE DATA AND CHILD DEVICE USAGE UPDATABLE OUTPUT DATA STRUCTURE BY CROSS-PROCESSING RECORDS THE SYSTEM AND METHOD THAT CREATED IT TECHNICAL FIELD The invention involves collecting usage records from electronic devices. Cross-processing digital records from different data sources through the processor a data structure for processing and updating output data based on the processing result It relates to the technical field of data processing systems and methods for their creation. 10 STATE OF THE ART Parental control systems, as included in the known state of the art, allow children to... limiting the usage time of electronic devices used by, specific Blocking access to applications or content categories, location and internet 15 Monitoring usage records and alert data according to predefined rules. It is used for the purpose of creation. In the document with publication number EP 3018610 A1, an educational tool is presented to the user. Implementation of the electronic device access policy according to the outcome of the task. It is explained in the document that the user age and education criteria are 20. Tasks can be selected using this method, and the task completion status can be checked using device access. It can have an impact. However, the document states that from the parent user's device converting the received structured response records into numerical values and this the value is the same data processing as the actual usage records obtained from the child's device. The comparison in the cycle is not explained. 25 In document number WO 2013032929 A1, a password-protected administrator is described. An interactive electronic reader with an account created by the administrator User profiles are explained. The administrator will provide the user with an electronic publication. It can customize the content and reading features. However, the document contains different data. Cross-processing of records from various sources reveals the differences between those records. Calculating the numerical difference and threshold comparison of the calculated difference. Its use is not explained. 2 In the document with publication number WO 2014204920 A2, the mobile device during activation, the user is presented with a task and the task is completed. The issue of granting access to the device's contents is being discussed. EP 3093804 A1 publication. In document number [number], the value of the completed educational task is classified as non-educational. The available time for the content is being calculated. Task 5 is mentioned in the relevant documents. Link between completion status and device access or usage time. is being established; however, the child is being monitored using response logs from the parent user's device. a data processing chain in which usage records from the device are processed together It is not available. In the document with publication number WO 2012158987 A2, cellular communication, education, 10 with a child-focused system that combines entertainment, warning and monitoring features An interface is described that allows the parent to make remote adjustments. The document details device functions configured by the parent and child activity. While intended for monitoring, the response received from the parent user's device Converting the records into numerical values, usage data from the child's device 15 comparing records and different datasets into a common numerical output. It does not include the combined features of the components. In the document with publication number WO 2018017739 A1, a specified agreement Depending on the compatibility status, the information transmitted to the electronic device or the enhancement of the device's function or reduction is explained in document number WO 2014011702 A1. the agreement includes data on terms, event status, and device usage records. mining involves combining usage logs from multiple devices. The discussion focuses on introducing and generating recommendation data based on user behavior. However, the documents in question state that from the parent user's device The structured response records received are stored in memory as response scores. Converting it into a numerical value based on its matches, and associating it with that value. The actual usage reference value was created from the child device records. Calculating the numerical difference between use value and content categories. Processing of digital eligibility records along with category usage periods. It is not explained. 30 Document number GB 2518595 A discusses computer and internet usage. analyzing the activity, displaying the analysis results in the user interface, and 3 The application of feedback, rewards, or access restrictions is explained. While it is intended to analyze document usage records, parents Digital data from the user's device versus actual usage data from the child's device. Comparison of data and content category suitability of this comparison Features of processing records to create a common digital output. 5 It does not include. Documents with publication numbers WO 2023150575 A2 and WO 2025034943 A2 Remote health assessment and neurological self-assessment; WO 2019149331 A1 Document number: Physical movement tracking; WO 2023195919 A2 publication Document number [number] relates to the calculation of the risk of developing myopia. 10 These documents provide scores or report outputs from different input data. However, the response logs from the parent user's device are used to create the child's data. Usage records obtained from the device are cross-processed in the same data processing cycle. No system is being described. In the current systems, the declaration records obtained from the parent user's device are 15 actual usage records of the child on one or more electronic devices They are mostly processed independently of each other. Only screen time restriction, blocking of certain content, or adherence to predefined rules The alert is generated based on the numerical differences between records obtained from different data sources. It does not allow for the reproducible determination of the difference. 20 Also, the category of applications and / or content retrieved from the child's device. matching the records with previously stored digital compliance records, word The subject is the processing of compliance records along with category usage periods, obtained combining the obtained values with the numerical data received from the parent user's device. and an updatable output data structure based on the threshold comparison result 25 Its creation requires an integrated data processing cycle. THE TECHNICAL PROBLEM THAT IS INTENDED TO BE SOLVED The technical problem that the invention aims to solve is; from the parent user device With the structured response logs received, usage data from at least one child device shows 30 because the records are located in different data structures, those records the relationship between them in a numerical and repeatable form within the same data processing cycle It is impossible to determine. 4 Another technical problem is the app usage time obtained from the child's device. application and / or content category and daily usage pattern records in memory By processing the stored numerical parameters together, a common comparison value is obtained. It cannot be transformed. The invention also enables the processing of numerical values obtained from different data sources up to a threshold of 5. comparison with the value, output stored in memory according to the comparison result. selection of records and output data when new usage records are received. an integrated data processing system that enables automatic updating of its structure It solves the problem of creating the cycle. A BRIEF DESCRIPTION OF THE INVENTION The system described in the invention involves at least one parent user device and at least one child user device. the device, at least one communication interface that establishes data communication with the devices in question, process at least one memory location that stores numerical records with commands and those records It contains at least one processor in operation. 15 The processor processes the structured response logs received from the parent user's device. a numerical value based on answer-score pairings stored in memory converting; app usage time taken from the child's device, app and / or actual usage from daily usage pattern records by content category It constitutes the value. 20 Attitude-behavior mismatch is determined by comparing the obtained numerical values. The value is being calculated; content categories, numerical suitability stored in memory. A content suitability value is created by matching it with the records. The pedagogical compatibility score is calculated by processing the values together, and this score It is compared with the threshold value stored in memory. 25 Based on the threshold comparison result, output records stored in memory are selected. The output is combined into a data structure and transmitted to the parent user's device. The numerical values were revised upon receiving new usage records from the child's device. The calculations are being performed and the output data structure is being updated. DESCRIPTION OF THE FIGURES Figure 1 shows the child's structured response logs received from the parent user's device. Processing usage records obtained from the device, calculating numerical values, performing threshold comparisons and creating the output data structure. This is a flowchart showing the process flow for updating. 5 DETAILED DESCRIPTION OF THE INVENTION The data processing system covered by the invention; at least one parent user device, child at least one child's device used by the owner, communicating with those devices via data. at least one communication interface, at least one 10 that stores transaction instructions and numerical records. It includes memory and at least one processor that executes the processing instructions stored in memory. Parent user device and child device; phone, tablet computer, portable This can be in the form of a computer or desktop computer. Parent user a management system on the device that enables the retrieval of structured response logs. It has an interface. On a child's device, the application usage time is 15. and / or software that creates records of content category and daily usage patterns The component is being executed. Usage logs created on the child's device are associated with the child's profile. communication along with a device identifier and time data indicating the recording time. The information is transmitted to the processor via the interface. Thus, data from 20 different children's devices is received. The processor determines which child profile and which viewing period the recordings belong to. This can be determined by them. In memory; Relating structured response records to numerical response scores Answer-score matching, 25 Scoring parameters used in processing response scores, Class ranges for the Digital Parenting Coefficient, In generating actual usage values from children's device usage records Process parameters used, Expected usage reference values, 30 Used in calculating the Attitude-Behavior Incompatibility Score Comparison parameters, 6 Categories that associate content categories with numerical suitability values compliance records, Normalization methods used in calculating the Pedagogical Adjustment Score and weight parameters, at least one numerical threshold value and 5 Machine-readable output records associated with different data ranges It is hidden. Machine-readable output records; alternative activity records, content It includes change logs and digital family contract templates. The subject matter is output records, in the form of distinct sets of records in memory. stored and each record set contains at least one numerical data range or data class. They are related. OBTAINING RESPONSE LOGS FROM THE PARENTAL USER DEVICE Through the management interface on the parent user's device, previously 15 structured questions and answer options associated with those questions. The answer options selected by the parent are displayed. as a response record along with its identifier and response option identifier. is being created. The processor retrieves the response option identifier found in each response record, 20 the numerical answer corresponding to the answer-score matches stored in memory It matches the structured response records with the score. Thus, the structured response records are processed by the processor. a numerical set of response scores that can be used in arithmetic operations It is being transformed. The values in the sequence of answer scores are stored in memory as a scoring system. 25 Digital Parenting Coefficient, calculated by combining parameters. is calculated as the arithmetic mean of the answer scores in an application. is obtained. In another application, each question is associated with an identifier. A weighted average of the answer scores is calculated using weighting values. The calculated Digital Parenting Coefficient is 30, with class intervals stored in memory. They are compared. According to the comparison results, the Digital Parenting Coefficient is based on permission. 7 with one of the data classes called transmitter, constraint, or constructor They are related. These data classes are used for the purpose of creating psychological or medical diagnoses. Not used. Data classes; usage records obtained from the child's device. The expected usage reference value to be used in the numerical comparison is 5. and can be machine-processed to determine the output record set stored in memory. These are index records. OBTAINING CHILD DEVICE USAGE RECORDS The processor uses application 10 from the software component running on the child's device. duration, application and / or content category, and daily usage pattern records It receives it through the communication interface. Application usage time logging, daily or weekly monitoring as specified. This includes the total time an application remained active within that range. Application and / or content category registration, 15 received through the application or via the application which of the category identifiers stored in memory the content is associated with It shows. Daily usage pattern log; timestamps of usage events, time intervals between usage events, usage events throughout the day It may include the distribution and the number of repetitions within the specified monitoring interval. 20 If more than one child device is used, each child device, with a different device identifier associated with the same child profile in memory is being recorded. The processor receives data from devices associated with the same child profile, and Usage logs belonging to the same monitoring interval are linked to device identifiers and time. It determines this based on its data. 25 The defined usage records are converted into a single digital footprint data by the processor. They are combined within a set. Thus, their use across different children's devices is ensured. omissions or duplicates that may occur due to the separate evaluation of records Data processing is being reduced. Category identifiers stored in memory can be updated. A new 30 When a record is created for an application or content type, that record falls under the relevant category. 8 is associated with its identifier and the data structure of existing usage records. It is included in the data processing cycle without being modified. CREATING REAL USE VALUE Processor, app usage time from child's device, app 5 and / or content category and daily usage pattern records stored in memory It processes data numerically according to the processing parameters. In an application, application usage times are monitored within the defined monitoring interval. It is proportional to the total duration. Content category records are stored in memory under the relevant category. It is matched with numerical category values associated with its identifier. 10 Daily usage pattern records include the number of usage events and their time distribution. and is converted into a numerical pattern value using the repetition interval. Application usage time, content category, and daily usage The numerical values belonging to the pattern are based on weight parameters stored in memory. By bringing them together, real use value is created. Real use value is 15 records of child device usage for a specific daily or weekly monitoring period as a machine-processable record representing a common numerical data space It is being written to memory. CALCULATION OF ATTITUDE-BEHAVIOR MISMATCH SCORE 20 In memory, the most associated with each of the Digital Parenting Coefficient classes A small expected usage reference value is stored. The processor calculates the Digital Determining the data class to which the Parenting Coefficient is associated and the data in question It retrieves the expected usage reference value corresponding to its class from memory. Expected usage reference value and 25 from child device usage records The actual use value generated is compared. These values are... The absolute difference or signed difference between them is expressed as the Attitude-Behavior Incompatibility Score. It is being calculated and written to memory. In an application, the Attitude-Behavior Mismatch Score is calculated using the following process: It is created with the logic: 30 Attitude-Behavior Mismatch Score = expected usage reference value the numerical difference between actual use value 9 The Attitude-Behavior Incongruity Score is the score for at least one incongruity stored in memory. It is compared with the limit. If this limit is exceeded, the processor... A risk indicator record is being created. The risk indicator record relates to the Pedagogical Adjustment Score. binary or multi-variable options that can be used in the calculation and selection of output records It is a multi-level numerical input record. 5 CALCULATION OF CONTENT SUITABILITY VALUE In memory, content category identifiers are stored in a predefined developmental stage. Category eligibility records are stored, associating them with development stage records. Stage recordings are categorized as: sensorimotor, preoperational, concrete operational, and abstract operational, totaling 10 stages. It can include the aforementioned data classes. Each category eligibility record must include at least one content category identifier, and at most... a brief developmental stage descriptor and the developmental stage in relation to the content category in question It includes the predetermined numerical compatibility value between them. The processor retrieves content category identifiers from child device usage logs. It matches each piece of content with category suitability records stored in memory. The numerical suitability value belonging to the category, with respect to that content category. It is processed along with its associated usage time. In an application, the numerical suitability value of each content category is the same. The usage time for each category is multiplied, and the resulting values represent the total usage of 20. It is proportional to the duration. Thus, content with different usage durations This prevents the categories from being evaluated with equal weight. The numerical result obtained represents the content suitability value for the relevant monitoring interval. It is written to memory as such. The content suitability value is the free or unrestricted value relating to the content. This is not a subjective opinion, but rather category suitability records stored in memory for child 25. The usage time records obtained from the device are arithmetically processed by the processor. It is a digital data record created by processing data. CALCULATION OF PEDAGOGICAL ADAPTATION SCORE The processor calculates the Digital Parenting Coefficient, Attitude-Behavior Mismatch 30. Its score, actual use value, content appropriateness value, and risk in an application. The signal record is processed within the same data processing cycle. These values are shared using lower and upper limits stored in memory. It is normalized to a numerical range. Each normalized value is stored in memory. It is multiplied by the weight parameter associated with the value in question. The effect of Attitude-Behavior Incompatibility Score on Pedagogical Adjustment Score the inverse effect of the common 5 of the normalized Attitude-Behavior Mismatch Score It can be represented by subtracting it from the upper limit of the numerical range. Pedagogical Conformity is determined by combining weighted numerical values. The score is calculated and stored in memory. The Pedagogical Adaptation Score is a pedagogical... or not a psychological diagnosis, but recordings and memory from different devices As a result of processing the stored numerical parameters within the same processing cycle, 10 It is a machine-readable comparison value that is generated. THRESHOLD COMPARISON At least one numerical value in memory to be compared with the Pedagogical Adjustment Score. The threshold value is stored. The processor displays the calculated Pedagogical Adaptation Score. The subject is compared with the threshold value. The Pedagogical Adjustment Score must be equal to or higher than the threshold value. If so, the Pedagogical Adaptation Score and comparison for the current monitoring period. The result is written to memory. If the Pedagogical Adaptation Score falls below the threshold value, the processor will activate 20 It creates a trigger record that initiates the process of selecting the output records. Trigger log; Pedagogical Adaptation Score, Digital Parenting Coefficient class, The Attitude-Behavior Mismatch Score range, content appropriateness value, and a The application includes a risk warning record. CREATING THE OUTPUT DATA STRUCTURE The processor, the Digital Parenting Coefficient class found in the trigger log, Attitude-Behavior Mismatch Score range, content suitability value and / or risk It uses the signal register to determine the corresponding output register set in memory. Output recording sets include 30 that are described as overprotective, irrelevant, or unbalanced. These index classes can be associated with psychological diagnoses. It does not express, it only describes the different output register sets stored in memory by the processor. 11 as machine-processable class identifiers that enable selection by It is used. The processor uses the child device from within the specified output recording set. at least one alternative activity record that matches the records, at least one content modification They register and select at least one digital family contract template. The selected records are output to a data structure with predefined fields. The output data structure is written as follows: child profile identifier, monitoring interval, Pedagogical Adaptation Score, comparison result, 10 selected alternative event registration, selected content modification record and It can include the selected digital family contract template. The generated output data structure is transmitted to the parent user via the communication interface. The information is transmitted to the device and displayed on the management interface. The processor performs this operation 15 during a free pedagogical evaluation or carried out in the human mind It does not perform a decision-making process. The processor processes the numerical data previously stored in memory. based on thresholds, data classes, matching records, and output record sets. select machine-readable records and organize the selected records into structured data. It unites them within its structure. 20 UPDATE CYCLE Upon completion of the daily and / or weekly monitoring interval, the child New usage records are being retrieved from the device. These new usage records are from the child profile. The identifier, device identifier, and tracking range data are associated and stored in memory. It is being written. The processor uses the new usage logs to determine the actual usage value, Attitude- Behavioral Mismatch Score, Content Appropriateness Value and Pedagogical Appropriateness It is recalculating the score. With the recalculated Pedagogical Adjustment Score threshold value, it is again 30. They are compared. The result of the comparison is the Attitude-Behavior Incompatibility Score. 12 If the range or output record set changes, the previous output data structure will be used. The relevant records are being replaced with the newly selected records. The updated output data structure is being sent to the parent user's device. Thus, the output data structure is a fixed data set based on the initial response records. not remaining; new usage records obtained from the child's device are processed within the same data processing 5 It is updated as a result of processing within the system. EXAMPLE APPLICATION In an application, through the management interface on the parent user's device Structured response records are collected. The response records are stored in memory in 10 Answers are converted into numerical answer scores through answer-score matching, and the answer The Digital Parenting Coefficient is calculated by taking the weighted average of the scores. is being calculated. The calculated Digital Parenting Coefficient is based on class ranges stored in memory. By comparing them, the corresponding data class is determined. 15 with the same child profile. Application usage time from one or more associated child devices, application and / or content category and daily usage pattern records Records are collected using device identifiers and time data. These records are combined, and actual use value is derived from them. The expected usage reference value associated with the specified data class is 20. Attitude-Behavioral Mismatch Score compared to actual use value is being calculated. Content categories are categorized using category suitability records stored in memory. are matched, and the numerical suitability value of each category corresponds to its relevant usage period. By processing them together, content suitability value is created. 25 Digital Parenting Coefficient, Attitude-Behavior Mismatch Score, real Use value and content appropriateness value are normalized to a common numerical range. Pedagogical Adaptation is determined by combining data based on weighting parameters. The score is being calculated. A Pedagogical Adjustment Score below the threshold value stored in memory is 30. A trigger record is created by the processor. In the trigger record... Alternative activity recording from memory using the found data class and numerical values, 13 Content modification log and family digital contract template are selected. The records are written to the relevant fields of the output data structure, and the resulting output data structure is created. It is transmitted to the parent user's device. New data from the child's device at the next daily and / or weekly monitoring interval Usage records are being collected. Actual usage value, Attitude-Behavior 5 The Incompatibility Score, Content Appropriateness Value, and Pedagogical Appropriateness Score have been revised. The calculation is being performed and the threshold comparison is being repeated. The new comparison... According to the result, the existing output data structure is preserved or different output records are created. It is updated by selecting the option. 15 25
Claims
14 REQUESTS 1. At least one child's response logs were obtained from a parent user's device. It is a data processing system that processes usage records obtained from the device, Feature; 5 - A management system that enables the retrieval of structured response logs. At least one parent user device containing the interface, - application usage time, application and / or content category, and log At least one child device that generates usage pattern records, - at least one device communicating with the parent user device and the child device (10) communication interface, - associating answer choice descriptors with numerical answer scores answer-score matching, grade ranges for answer scores, children Processing parameters for processing device usage records, expected usage reference values, content category identifiers 15 category eligibility records that are associated with numerical eligibility values, at least one numerical threshold value and associated with different data ranges at least one memory that stores machine-readable output records and - Response logs received from the parent user's device are called response scores. converting numerical response scores into matching scores, 20 - By processing the numerical response scores, it creates the first numerical value. - Application usage time obtained from the child's device, application and / or Processing content category and daily usage pattern records. by processing according to its parameters, it creates the second numerical value. - Expected usage reference value associated with the first numerical value: 25 calculates the numerical difference between the first and second numerical values. - Category identifiers for content retrieved from children's devices numerical suitability that matches with suitability records and is matched by processing their values with the usage periods belonging to the relevant content category the third numerical value, 30 - the first numerical value, the second numerical value, the numerical difference in question, and The third numerical value is determined according to the processing parameters stored in memory. by combining them to calculate the fourth numerical value, - comparing the fourth numerical value with the specified numerical threshold value, - if the fourth numerical value falls below the numerical threshold value, at least one output record associated with the calculated numerical values Selecting from memory, - Selected output record as output data with predefined fields 5 writing to its structure and – The generated output data structure is communicated to the parent via the communication interface. It is characterized by containing at least one processor that transmits data to the user device.
2. According to claim 1, it is a data processing system, characterized by having at least one processor that can respond. The answer option identifiers in the records are stored in memory as answer-score 10 matching the corresponding numerical answer scores in the pairings and words the subject is the arithmetic mean of the numerical answer scores or the question weighted average based on weight values associated with their identifiers It is characterized by forming the first numerical value by taking it.
3. A data processing system according to claim 1 or 2, characterized by the fact that the memory is separated from each other by 15 different child device identifiers with the same child profile identifier association and at least one processor with the same child profile identifier usage data from associated child devices, belonging to the same monitoring interval. by identifying records based on device identifiers and time data, creating a single system. It is characterized by its integration within the usage dataset. 20 4. It is a data processing system according to claim 1, and its characteristic is that at least one of its processors is a child processor. application usage times recorded from the device within the defined monitoring interval ratio to total time, content category records stored in memory matching with numerical category values and daily usage patterns The records show the number of usage events, time distribution, and repetition. 25 converting the second numerical value into a numerical pattern value according to its range. It is characterized by its formation.
5. According to claim 1, it is a data processing system, characterized by its first digital memory. at least one expected usage for each of the value-associated data classes It stores the reference value and at least one processor's selected expected usage is 30. The absolute difference or signed difference between the reference value and the second numerical value. It is characterized by its ability to calculate the difference. 16 6. Data processing system according to Claim 1, characterized by its suitability for each category. a content category identifier and a development stage identifier of the record and the numerical correspondence between the content category in question and its development stage. It must include the value and at least the numerical compatibility values of a processor. third digit 5 by weighting usage times for content categories It is characterized by its ability to create value.
7. It is a data processing system according to claim 1, and its characteristic is that at least one processor is the primary the numerical value, the second numerical value, the numerical difference in question, and the third A common numerical value is obtained by using lower and upper limits stored in memory for the numerical value. normalizes the values to the range and stores the normalized values in memory. by combining them according to weighting parameters, the fourth numerical value It is characterized by its calculation.
8. A data processing system according to claim 7, characterized by having at least one processor. The subject is the inverse effect of numerical difference on the fourth numerical value. by subtracting the normalized numerical difference from the upper limit of the common numerical range 15 It is characterized by its formation.
9. According to claim 1, it is a data processing system, and its characteristic is; output stored in memory. their records include at least one alternative activity record and at least one content modification record. and it must include at least one intra-family digital contract template and at least one processor. The output record set is associated with the calculated numerical values. 20 by selecting at least one of the relevant records, the output data structure is pre-programmed. It is characterized by writing in its defined areas.
10. It is a data processing system according to claim 1, and its characteristic is that the output data structure is a child data structure. profile identifier, monitoring interval data, fourth numeric value, threshold comparison result and at least one output record selected from memory 25 It is characterized by its inclusion.
11. A data processing system according to claim 1, characterized by having at least one child processor. upon receiving new daily and / or weekly usage records from the device the second numerical value, the numerical difference, the third numerical value, and the fourth numerical value recalculating the value, the recalculated fourth numerical value is 30 Comparison with the numerical threshold value and change in the comparison result. 17 in this case, at least one output record in the output data structure is combined with the newly selected output record. It is characterized by its ability to change.
12. In a computer system, the response received from a parent user's device. records and usage records from at least one child's device It is a data processing method for processing data, and its characteristic is; 5 - configured from a management interface on the parent user's device taking response records, - based on response-score matching stored in memory of response records converting numerical response scores, - Processing the numerical response scores to create the first numerical value, 10 - app usage time from at least one child device, app and / or Recording content category and daily usage patterns, - The aforementioned recordings obtained from the child's device are processed and stored in memory. The second numerical value is generated by processing according to its parameters. - Expected usage reference value associated with the first numerical value: 15 Calculating the numerical difference between the first and second numerical values. - Content category identifiers retrieved from the child's device are stored in memory. matching with stored category eligibility records and matched the use of numerical suitability values for relevant content categories by processing the durations and creating the third numerical value, 20 - the first numerical value, the second numerical value, the numerical difference in question and the third numerical value according to the processing parameters stored in memory. combining these elements to calculate the fourth numerical value, - the fourth numerical value with the numerical threshold value stored in memory comparison, 25 - if the fourth numerical value falls below the numerical threshold value at least one output record associated with the calculated numerical values Selection from memory - The selected output record is an output data with predefined fields. to be written into its structure and 30 - The parent communication interface of the generated output data structure including the steps involved in transmitting the process to the user device It is characteristic. 18 13. It is a data processing method according to claim 12, and its characteristic is; in the response records. The answer choice identifiers are stored in memory as answer scores. matching them with corresponding numerical answer scores in their pairings and the arithmetic mean of the numerical answer scores in question or the question Weighted 5 according to the weight values associated with their identifiers. the process of calculating the average to create the first numerical value It is characterized by including its stages.
14. Data processing method according to claim 12 or 13, characterized by: same child profile. Data from multiple child devices associated with the same identifier Device identifiers and time of usage logs belonging to the monitoring interval 10 determined according to the data and within a single usage dataset It is characterized by the fact that it involves several steps in the process of combining processes.
15. Data processing method according to claim 12, characterized by; data obtained from the child's device. application usage times are the total duration of the defined monitoring interval. The ratioing of content category records to numerical category 15 stored in memory. matching with values and using daily usage pattern records numerical data based on the number of events, time distribution, and recurrence interval. The process of creating the second numerical value by converting it to a pattern value. It is characterized by including its stages.
16. This is a data processing method according to claim 12, and its characteristic is; the first numerical value is 20. expected usage reference corresponding to the associated data class retrieving the value from memory and the expected usage reference in question. the absolute difference or signed difference between the first numerical value and the second numerical value Its calculation is characterized by involving several steps.
17. Data processing method according to claim 12, characterized by; each content category 25 a developmental stage descriptor and numerical fitness value of the descriptor matching with the category eligibility record and numerical eligibility their usage periods belonging to the relevant content categories The steps involved in weighting and generating the third numerical value. It is characterized by its inclusion. 30 19 18. This is a data processing method according to claim 12, and its characteristic is that the first numerical value, the second numerical value, the numerical difference in question, and the third numerical value A common numerical range is determined using the lower and upper limits stored in memory. normalization and the weights of the normalized values stored in memory combined according to its parameters, the fourth numerical value is 5 Its calculation is characterized by involving several steps.
19. Data processing method according to claim 12, characterized by; new data from the child's device. The second digital record is obtained upon receipt of daily and / or weekly usage logs. the value, the numerical difference, the third numerical value, and the fourth numerical value recalculation, the recalculated fourth numerical value is 10 Comparison with the numerical threshold value and change in the comparison result. in this case, at least one output record in the output data structure is replaced with the newly selected output record. The modification process is characterized by involving several steps. 20 30