Management system for improving behavioral habits
By matching behavioral habits with triggering conditions and solutions in the database, and providing behavioral pattern feedback, the system addresses the systemic management deficiencies of habit management devices in existing technologies, and achieves systematic improvement of behavioral habits and performance analysis.
Patent Information
- Application Number
- CN202080102461.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Priority Date
- 2020-06-26
- Filing Date
- 2020-09-24
- Publication Date
- 2025-11-11
- Estimated Expiration
- 2040-09-24
AI Technical Summary
Existing habit management devices cannot systematically manage individual inputs and search inconveniences, leading to a decrease in usage frequency. Furthermore, they lack analysis of the current status and results, making it impossible to verify the steps taken to reach the goal and how they were performed.
By matching behavioral habits with triggering conditions and solutions, storing them in a database, and providing behavioral pattern feedback, including the fulfillment rate of behavioral pattern information, the system supports the sharing and analysis of behavioral pattern information on the user interface.
It enables systematic management of behavioral habits, provides performance analysis of behavioral pattern information, helps users check their current status in real time and increase usage frequency, and enhances motivation for behavioral improvement.
Smart Images

Figure CN115867984B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to a management system for improving behavioral habits. Background Technology
[0002] Recently, with the development of communication networks and user devices, user devices (smartphones, wearable devices, etc.) are widely used in fields such as sports, learning, and therapy to manage habits.
[0003] For example, when habit management devices are used to treat chronic diseases, the types of erroneous lifestyle habits of patients with chronic diseases are defined and used in the form of a checklist for chronic disease treatment.
[0004] Furthermore, when the habit management device is used for schedule and goal management, users can easily input and store their schedules through their user devices and check them at any time.
[0005] However, existing habit management devices manage tasks, schedules, and goals separately for each project. Therefore, they lack systematic management, and the inconvenience of individual input and searching leads to decreased usage frequency, resulting in a potential abandonment of management. Furthermore, existing habit management devices simply input and store schedules and goals without providing analysis results based on the current progress and outcomes. Consequently, there is a lack of information on how to verify which step of the current goal has been reached and how to proceed.
[0006] In this regard, Korean Patent Publication No. 10-2015-0010255 (Invention title: Diagnostic device and diagnostic management device using habits and diagnostic method using the same) discloses a method for collecting user behavior, analyzing the collected behavior, and diagnosing diseases based on the generated habits. Summary of the Invention
[0007] Technical issues
[0008] To address the aforementioned problems, the behavioral habit improvement management system of this invention stores in a database the triggers that continuously lead to erroneous behavioral habits and the solutions that can replace the triggers to suppress the erroneous behavioral habits, matching each behavioral habit. Furthermore, based on the database, it proposes numerous triggers and multiple solutions for the behavioral habits that users need to improve, and provides behavioral pattern feedback by displaying the user's selected behavioral pattern information (behavioral habits, triggers, and solutions) on a single screen, as well as the fulfillment rate of the behavioral pattern information over time.
[0009] However, the technical problem to be solved by the present invention is not limited to the above-mentioned technical problem, and other technical problems may also exist.
[0010] Technical solution
[0011] As a technical solution to solve the above-mentioned technical problems, an embodiment of the present invention provides a management server for improving behavioral habits, comprising: a communication module; a memory for storing a behavioral habit improvement service provider program; and a processor for executing the program. The processor provides a user interface to a user terminal based on the execution of the program, which inputs behavioral pattern information including behavioral habits, triggering conditions, and solutions, as well as time information of fulfilling the behavioral pattern information. It matches the behavioral pattern information, time information, and user identification information input from the user terminal and stores them in a database. It generates behavioral pattern feedback that displays behavioral habits, triggering conditions, and solutions on a single screen and provides behavioral pattern feedback through the user interface.
[0012] The processor receives performance status information of behavioral pattern information from the user terminal at preset intervals, and provides the performance rate of behavioral pattern information based on performance status information in visual images through the user interface.
[0013] Behavioral habits are a collective term for categories of incorrect behavioral habits that need to be improved, including insufficient sleep, eating problems, drinking problems, smoking problems, bad relationships, and lack of concentration.
[0014] The behavioral pattern information consists of multiple triggering conditions that induce at least one behavioral habit in a category, and multiple solutions that inhibit the behavioral habit in lieu of at least one triggering condition, arranged in a hierarchical structure and stored in the database.
[0015] When a login request for behavior pattern information is received from a user terminal, the processor provides a user interface, which includes: a first function, inputting at least one behavior habit in a category; a second function, inputting at least one triggering condition that triggers the behavior habit; a third function, inputting at least one solution to suppress the behavior habit in place of the triggering condition; and a fourth function, inputting time information including the time of fulfilling the behavior pattern information, the start date, and the report date.
[0016] The processor will match users with at least one consistent behavioral pattern information, including behavioral habits, triggering conditions, and solutions, into a group.
[0017] An embodiment of the present invention provides a method for improving behavioral habits, comprising: step (a) providing a user terminal with a user interface for inputting behavioral pattern information including behavioral habits, triggering conditions and solutions, and time information for performing behavioral pattern information; step (b) matching the behavioral pattern information, time information and user identification information input from the user terminal and storing them in a database; and step (c) generating behavioral pattern feedback that displays behavioral habits, triggering conditions and solutions on a single screen, and providing behavioral pattern feedback through the user interface.
[0018] The present invention further includes the following steps: receiving performance status information of behavior pattern information from a user terminal at a preset period; and providing the performance rate of behavior pattern information based on performance status information in visual images through a user interface.
[0019] Behavioral habits are a collective term for categories of incorrect behavioral habits that need to be improved, including insufficient sleep, eating problems, drinking problems, smoking problems, bad relationships, and lack of concentration.
[0020] The behavioral pattern information consists of multiple triggering conditions that induce at least one behavioral habit in a category, and multiple solutions that inhibit the behavioral habit in lieu of at least one triggering condition, arranged in a hierarchical structure and stored in the database.
[0021] In step (a) above, when a login request for behavior pattern information is received from a user terminal, a user interface is provided, the user interface including: a first function, inputting at least one behavior habit in a category; a second function, inputting at least one triggering condition that triggers the behavior habit; a third function, inputting at least one solution to suppress the behavior habit in place of the triggering condition; and a fourth function, inputting time information including the time of fulfilling the behavior pattern information, the start date, and the report date.
[0022] The effects of the invention
[0023] This invention addresses the problems of the prior art by matching and storing behavioral pattern information, including user behavior habits, triggering conditions, and solutions, in a database, enabling users to share triggering conditions and solutions for the same behavioral habits.
[0024] Meanwhile, in this invention, the user receives information on whether the behavior pattern information has been fulfilled within a set time period, and the fulfillment rate of the behavior pattern information based on the fulfillment information is provided as a visual image. This allows for real-time inspection of the current status of the behavior pattern information and provides analysis results on whether the behavior pattern information has been fulfilled. Attached Figure Description
[0025] Figure 1 This is a structural diagram of a management system for improving behavioral habits according to an embodiment of the present invention.
[0026] Figure 2 This is an example of a user interface provided when logging in with behavioral pattern information according to an embodiment of the present invention.
[0027] Figure 3 This is an example of a user interface provided when logging in with behavioral pattern information according to an embodiment of the present invention.
[0028] Figure 4 This is an example of a user interface provided when logging in with behavioral pattern information according to an embodiment of the present invention.
[0029] Figure 5 This is an example of a user interface that displays behavioral patterns, triggering conditions, and solutions for an embodiment of the present invention on a single screen.
[0030] Figure 6 This invention provides an example of a user interface that provides feedback on multiple behavioral patterns and user behavioral pattern information over time, according to an embodiment of the present invention.
[0031] Figure 7 An example of a user interface that provides a user's performance rate based on a visual image, representing a user's behavior pattern information, such as whether or not the user has performed their obligations.
[0032] Figure 8 This is an example of a user interface that provides a list of groups to a user after matching at least one consistent user in the behavioral pattern information of an embodiment of the present invention into a group.
[0033] Figure 9 This is a flowchart illustrating a management method for improving behavioral habits according to an embodiment of the present invention. Detailed Implementation
[0034] Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, so that those skilled in the art can easily implement the present invention. However, the present invention can be embodied in many different forms and is not limited to the embodiments described herein. Moreover, in the drawings, parts unrelated to the description have been omitted for the purpose of clearly illustrating the present invention, and similar reference numerals are used for similar parts throughout the specification.
[0035] Throughout this specification, when a part is "connected" to other parts, this includes both "direct connection" and "indirect connection" with other devices in between. Furthermore, when a part "includes" other structural elements, unless otherwise stated, it means that other structural elements may be included, not excluded.
[0036] In this specification, "unit" refers to a unit implemented in hardware or software, or a unit implemented using both methods. A unit may be implemented using two or more hardware components, or two units may be implemented using one hardware component. On the other hand, "unit" is not limited to software or hardware; a "unit" can be configured in addressable storage media or to reproduce one or more processors. Therefore, as an example, a "unit" includes structural elements such as software structural elements, object-oriented software structural elements, class structural elements, and task structural elements, as well as processors, functions, attributes, programs, subroutines, segments of program code, drivers, firmware, microcode, circuits, data, databases, data structures, tables, arrays, and variables. The functionality provided within structural elements and "units" can be combined or separated into additional structural elements and "units" using fewer structural elements and "units." Furthermore, structural elements and "units" can also reproduce one or more CPUs within a device.
[0037] A network is a connection structure that allows various nodes, such as terminals and servers, to exchange information. This includes Local Area Networks (LANs), Wide Area Networks (WANs), the World Wide Web (WWW), wired and wireless data communication networks, telephone networks, and wired and wireless television communication networks. Examples of wireless data communication networks include 3G, 4G, 5G, the 3rd Generation Partnership Project (3GPP), Long Term Evolution (LTE), World Interoperability for Microwave Access (WIMAX), Wi-Fi, Bluetooth, infrared communication, ultrasonic communication, Visible Light Communication (VLC), and LiFi, but are not limited to these.
[0038] The term "terminal" as used in this specification can be a computer or portable terminal capable of accessing a management server for improving behavioral habits via a network. For example, computers may include laptops, desktop computers, or light computers equipped with a web browser. Portable terminals, as wireless communication devices ensuring portability and mobility, can include all types of handheld wireless communication devices such as various smartphones and tablets.
[0039] Figure 1This is a structural diagram of a management system for improving behavioral habits according to an embodiment of the present invention.
[0040] Reference Figure 1 The management system for improving behavioral habits of the present invention includes a user terminal 10, a management server for improving behavioral habits 20, and a database 30.
[0041] The management server 20 for improving behavioral habits works in conjunction with behavioral habit improvement service providers that are driven on multiple user terminals 10 to handle tasks for behavioral habit improvement services.
[0042] Example: User terminal 10 may include a communication module, a memory and a processor, and the communication module of each terminal may communicate with server 20 according to the control of the processor.
[0043] like Figure 1 As shown, the management server 20 includes a communication module 210, a memory 220, a processor 230, and a database 30.
[0044] The communication module 210 processes data communication with multiple user terminals 10. The communication module 210 provides the necessary communication interface in the form of data packets for signals sent and received to and from the user terminals 10 in conjunction with a communication network. The communication module 210 can be a device comprising the hardware and software required to send and receive signals such as control signals or data signals via wired or wireless connections with other network devices.
[0045] The memory 220 stores a behavior habit improvement service provider that provides behavior habit improvement services for user terminal 10. The behavior habit improvement service provider stored in the memory can be driven by the processor 230.
[0046] Furthermore, the memory 220 performs the function of temporarily or permanently storing the processed data. The memory 220 may include volatile storage media or non-volatile storage media, but the scope of the invention is not limited thereto.
[0047] The memory 220 can store additional programs such as the operating system for processing and controlling the processor 230, and can also perform the function of temporarily storing data for input or output.
[0048] The memory 220 may include at least one type of storage medium selected from flash memory, hard disk, multimedia card micro, card-type memory (e.g., SD or XD memory), random access memory, and read-only memory. Furthermore, the user terminal 10 may also operate a web storage system that performs the storage functions of the memory 220 over the Internet.
[0049] The processor 230 executes the program stored in the memory 220, performing various tasks of the behavior habit improvement service provider corresponding to the processor processing of the multiple user terminals 10 described below.
[0050] The processor 230 executes the behavior improvement service provider program stored in the memory 220 and controls the overall operation for providing behavior improvement services.
[0051] Therefore, the processor 230 may include at least one processing unit (CPU, microprocessor, DSP, etc.), random access memory (RAM), read-only memory (ROM), etc., and reads programs stored in memory 220 through RAM and executes them through at least one processing unit. Furthermore, according to the embodiment, the term "processor" may be interpreted as having the same meaning as terms such as "controller," "processing unit," or "control section."
[0052] The following are brief steps of providing a behavior habit improvement service through a behavior habit improvement service provider program according to an embodiment of the present invention.
[0053] Next, the processor 230 provides the user terminal 10 with a user interface that inputs behavioral pattern information including behavioral habits, triggering conditions and solutions, and time information of the behavioral pattern information. It matches the behavioral pattern information, time information and user identification information input from the user terminal 10 and stores them in the database 30. It generates behavioral pattern feedback that displays behavioral habits, triggering conditions and solutions on one screen and provides behavioral pattern feedback through the user interface.
[0054] Furthermore, the processor 230 can receive performance status information of the behavior pattern information from the user terminal 10 at preset intervals, and provide the performance rate of the behavior pattern information based on the performance status information in visual images through the user interface.
[0055] Therefore, numerous triggering conditions and multiple solutions are proposed for behavioral habits that need improvement, allowing users to share the triggering conditions and solutions for the same behavioral habits. Simultaneously, it provides behavioral pattern feedback by displaying user-selected behavioral pattern information (behavioral habits, triggering conditions, and solutions) on a single screen, as well as the fulfillment rate of behavioral pattern information over time.
[0056] Database 30 stores data accumulated by programs that execute services related to the provision of behavioral habit improvement services. For example, database 340 may store multiple behavioral habits, multiple triggering conditions that induce at least one behavioral habit, and multiple solutions to suppress behavioral habits instead of triggering conditions.
[0057] For example, behavioral habits, as a general category of undesirable behavioral habits that need improvement, can include sleep deprivation, dietary problems, alcohol consumption issues, smoking problems, poor relationships, and lack of concentration. As an example, a trigger condition, which is the cause of sleep deprivation (behavioral habit), could include triggers such as "using my phone before bed." In this case, a solution that replaces the trigger condition ("using my phone before bed") to suppress sleep deprivation (behavioral habit) could include solutions such as "putting my phone in another room." Furthermore, the trigger condition ("using my phone before bed") is not necessarily matched with a single behavioral habit (sleep deprivation), but can also be matched with other behavioral habits (such as lack of concentration).
[0058] Subsequently, regarding the method for providing behavior improvement services executed in processor 230, the following... Figures 2 to 7 To provide a more detailed explanation.
[0059] Figure 2 This is an example of a user interface provided when logging in with behavioral pattern information according to an embodiment of the present invention.
[0060] Figure 3 This is an example of a user interface provided when logging in with behavioral pattern information according to an embodiment of the present invention.
[0061] Reference Figure 2 When a login request based on behavior pattern information is received from user terminal 10, processor 230 can provide user interface 110.
[0062] Illustratively, refer to Figure 2 Part (a) of the user interface 110 for logging in behavior pattern information includes a first function 101 for inputting at least one behavior habit in the category.
[0063] As an example, such as Figure 2As shown in section (a), the user can select one of the multiple categories of behavioral habits stored in the database 30 through the first function 101 of the user interface 110.
[0064] As another example, such as Figure 3 As shown, users can directly input behavioral habits that are not stored in the database 30 through the first function 101 of the user interface 110.
[0065] Among them, behavioral habits, as a general term for categories of incorrect behavioral habits that need to be improved, may include insufficient sleep, eating habits, drinking, smoking, bad relationships, and lack of concentration, but are not limited to these.
[0066] Furthermore, the behavioral pattern information can be constructed in a hierarchical structure and stored in the database 30 by multiple triggering conditions that trigger at least one behavioral habit in the category and multiple solutions that suppress the behavioral habit instead of at least one triggering condition.
[0067] For example, in the case of sleep deprivation, it can be matched with a first trigger condition such as "using the phone before going to bed", and multiple solutions can be matched with the first trigger condition and a first solution such as "putting the phone in another room" and a second solution such as "locking the phone settings at night".
[0068] Illustratively, refer to Figure 2 In part (b), the user interface 110 may include a second function 102 that triggers at least one condition for input to elicit a behavioral habit. As another example, such as Figure 3 As shown, users can directly output trigger conditions that are not stored in the database 30 through the second function 102 of the user interface 110.
[0069] Furthermore, referring to Figure 2 In part (c), the user interface 110 may include a third function 103 that provides at least one solution to suppress behavioral habits in lieu of triggering conditions. As another example, such as Figure 3 As shown, users can directly input solutions that are not stored in the database 30 through the third function 103 of the user interface 110.
[0070] Reference Figure 3 The user interface 110 may include a fourth function 104 for inputting time information including the time of performance behavior pattern information, start date, and report date.
[0071] Figure 4 This is an example of a user interface provided when logging in with behavioral pattern information according to an embodiment of the present invention.
[0072] Reference Figure 4When receiving behavior pattern information and time information from user terminal 10, processor 230 can provide a summary page of behavior pattern information through user interface 110.
[0073] For example, the summary page can display identification information that visually distinguishes behavioral habits (W), triggering conditions (T), and solutions (S), with each piece of identification information displayed in text and color. It can also display the time, date, and report submission date information containing the behavioral pattern information. Through this summary page, users can easily identify the behavioral habits they need to improve. Furthermore, these summary pages are generated according to the behavioral habits that need improvement, with multiple summary pages displayed adjacent to each other, allowing users to easily identify the goals for improvement.
[0074] That is, the processor 230 can match the behavioral pattern information, time information and user identification information input from the user terminal 10 and store them in the database 30.
[0075] Figure 5 This is an example of a user interface that displays behavioral patterns, triggering conditions, and solutions for an embodiment of the present invention on a single screen.
[0076] Figure 6 This invention provides an example of a user interface that provides feedback on multiple behavioral patterns and user behavioral pattern information over time, according to an embodiment of the present invention.
[0077] Reference Figure 6 The processor 230 can generate behavior pattern feedback 106 that displays behavioral habits, triggering conditions and solutions based on user identification information stored on a screen, and the behavior pattern feedback 106 can be provided through the user interface 110.
[0078] For example, such as Figure 5 As shown in part (a), the user interface 110 provides a function 105 that can invite a friend, such as nearby friends, to the behavior pattern feedback 106 containing the user's behavior pattern information and time information.
[0079] Illustratively, as Figure 5 As shown in part (b), the behavior pattern feedback 106 of the improved behavior management system of the present invention can provide a detailed viewing function that displays detailed information on the user's behavior patterns and time information.
[0080] Illustratively, as Figure 6 As shown, the user interface 110 can provide feedback 106 on the behavior patterns of other users in the form of a cover. In this case, the cover must include trigger conditions and solutions distinguished by identification information.
[0081] User interface 110 provides a cheering function 107, through which users can provide feedback 106 on the behavior patterns of other users displayed in cover form to support their login. Furthermore, as... Figure 5 As shown in section (a), support messages can be logged in via the comments function provided in the overall viewing screen of behavior mode feedback 106.
[0082] As an example, when a user logs in with a behavioral habit such as "insufficient sleep," the processor 230 can provide feedback 106 on the behavioral patterns of other users corresponding to "insufficient sleep." As another example, when a user logs in with two behavioral habits such as "insufficient sleep" and "eating habit problems," the processor 230 can provide feedback 106 on the behavioral patterns of other users corresponding to either "insufficient sleep" or "eating habit problems."
[0083] Therefore, a sense of homogeneity and consensus can be formed through feedback 106 of the behavioral patterns of other users who have the same input behavioral habits, and the motivation to improve behavioral habits can be maintained by displaying support or sending support messages to the behavioral pattern feedback 106.
[0084] Furthermore, referring to Figure 6 The user interface 110 can provide a bar function 108 that displays the elapsed rate of time based on user-defined time information. This allows users to improve their understanding of the actual time they are targeting in order to improve their behavioral habits.
[0085] Figure 7 An example of a user interface that provides a user's performance rate based on a visual image, representing a user's behavior pattern information, such as whether or not the user has performed their obligations.
[0086] Reference Figure 7 The processor 230 can provide performance information of receiving behavioral pattern information from the user terminal 10 at preset intervals, and a compensation function 109 that displays the performance rate of the behavioral pattern information based on the performance information in a visual image through the user interface 110.
[0087] For example, user terminal 10 can input information on whether or not behavioral pattern information is fulfilled for notifications sent via push notifications through user interface 110. As an example, if a user logs in and sets behavioral pattern information for sleep deprivation (Can't Sleep) behavior, such as "using the phone before going to sleep" as a first trigger condition and "putting the phone in another room" as a first solution, the user can periodically (e.g., daily) record whether the first solution is fulfilled.
[0088] Furthermore, the processor 230 can provide a performance rate compensation function 109 that displays performance rate compensation information based on performance status information received from the user terminal 10 in visual image form via the user interface 110.
[0089] Illustratively, as Figure 7 As shown, the compensation function 109 can display the degree of neural activity corresponding to the performance rate using image visualization. For example, when a user fully performs the behavioral pattern information within a set time period (e.g., 3 weeks), a completed neural image and compensation score can be provided. Conversely, when a user does not fully perform the behavioral pattern information within a set time period, an incomplete neural image and a score corresponding to the performance rate can be provided.
[0090] For example, if the first user inputs failure information for the first solution (e.g., fulfillment rate less than 50%), the processor 230 can provide a new second solution. For instance, the processor 230 could instead propose an nth solution that succeeds among multiple users (matching users) who log in under the same triggering conditions as the first user (e.g., fulfillment rate greater than 50%). Furthermore, if, among the matched users, a new nth solution is successfully established after failing for the same first solution, the corresponding nth solution can be recommended to the first user.
[0091] As an additional embodiment, if the triggering condition or solution matching the user's first behavioral habit includes other behavioral habits besides the user's first behavioral habit, the processor 230 may generate a behavioral pattern information package with two or more behavioral habits to provide.
[0092] For example, in cases where the first trigger is "eating before bed" and the first solution is "drinking a cup of tea instead of food before bed", in addition to the first behavioral habit such as "eating habits", there can also be triggers and solutions that match the second behavioral habit such as "insufficient sleep".
[0093] In this case, fulfilling the user's first chosen solution (drinking a cup of tea before bed) can improve the user's first behavioral habit (eating habits) and also improve the behavioral pattern of the second behavioral habit (insufficient sleep).
[0094] That is, in this invention, the user fulfills a solution (i.e., behavioral pattern information), thereby visually providing information not only on the user's erroneous behavioral habits that need to be improved, but also on other erroneous behavioral habits that can be improved, thereby maintaining the motivation to improve behavioral habits.
[0095] Figure 8This is an example of a user interface that provides a list of groups to a user after matching at least one consistent user in the behavioral pattern information of an embodiment of the present invention into a group.
[0096] Reference Figure 8 The processor 230 can group multiple users who share at least one consistent behavioral pattern, including behavioral habits, triggering conditions, and solutions. That is, a user can receive a list of other users who share at least one behavioral pattern with them.
[0097] For example, processor 230 can match users with the same behavioral habits and triggering conditions into a first group, and users with the same time information within the first group into a second group (group 1-1). Processor 230 can match users with the same behavioral habits and solutions into a second group, and users with the same time information within the second group into a third group (group 2-1). Furthermore, if users do not correspond to users in the first, second, or third groups (groups 1-1, 2-1, and 2-1), users with the same behavioral habits can be matched into a third group, and users with the same time information within the third group can be matched into a fourth group (group 3-1). In this case, the time information refers to the date and time of the login behavior pattern information. As an example, the above-mentioned list of matched groups can be provided to free users of this system.
[0098] On the other hand, in the case of paid users of this system, for example, users who have achieved a fulfillment rate of 60% or 80% or more in the previous login behavior pattern in the third group, or users with a fulfillment rate of 80% or more and a failure rate of 40% or less, with the same time information, can be preferentially matched into the 3-n group and a group list can be provided.
[0099] For example, refer to Figure 8 In part (a), when a user is requested to match their behavior pattern after logging in, the processor 230 provides a group list display area 111, which displays behavior pattern information of other users, to each user within the user's group. The user can then perform a swipe touch within the group list display area 111 to confirm the behavior pattern information of other users within the matched group. After confirming the behavior pattern information of other users, as shown... Figure 8 As shown in part (b), they can be matched with each other through the support matching function 112.
[0100] For example, even without mutual permission between users within the matched group, the processor 230 can automatically establish a support relationship. In this case, the user-to-user privacy (DM, Direct Message) function can be activated, allowing users to send and receive progress reports. Furthermore, users can review behavioral pattern feedback from other matched users and use content functions to share additional behavioral habits, triggering conditions, and solutions. On the other hand, if 100% of the users' login behavioral patterns are mutually matched, double the compensatory neural network can be provided.
[0101] Therefore, strengthening cohesion among users can increase participation and motivation in implementing solutions to improve behavioral habits. Furthermore, this invention can be based on a social platform and can have a group therapeutic effect, as a form of cognitive behavioral therapy (CBT), through social interactions with other users.
[0102] The processor 230 can approve expert terminals (not shown) based on artificial intelligence to identify qualification images related to cognitive behavioral therapy (CBT) in advance. When an expert matching request is received from the user terminal 10, the approved expert terminal can be matched as an expert to guide the user's behavioral habit improvement.
[0103] Furthermore, when the user terminal 10's usage information is confirmed based on the guidance content provided by the expert terminal, the processor 230 can provide the expert terminal with compensation corresponding to the usage information in the guidance content.
[0104] As an additional embodiment, the processor 230, upon receiving an expert matching request from a user, can match users certified as experts on a one-to-one basis. Experts can log in by category through image verification requests for cognitive behavioral therapy licenses or level certificates. In the case of users certified by experts, only their own content is shared with the system. Subsequently, as other users utilize the expert's content, such as through content queries, corresponding compensation (points or currency, etc.) can be paid to the certified expert user.
[0105] Below, in Figures 1 to 8 In the structures shown, explanations are omitted when structures perform the same function.
[0106] Figure 9 This is a flowchart illustrating a management method for improving behavioral habits according to an embodiment of the present invention.
[0107] Reference Figure 9An embodiment of the present invention provides a method for improving behavioral habits, comprising: step S110, providing a user interface to a user terminal 10 for inputting behavioral pattern information including behavioral habits, triggering conditions and solutions, and time information for performing behavioral pattern information; step S120, matching the behavioral pattern information, time information and user identification information input from the user terminal 10 and storing them in a database 30; and step S130, generating behavioral pattern feedback that displays behavioral habits, triggering conditions and solutions on a single screen, and providing behavioral pattern feedback through the user interface.
[0108] Furthermore, the present invention also includes the following steps: receiving performance status information of behavior pattern information from user terminal 10 at preset intervals, and providing the performance rate of behavior pattern information based on performance status information in visual images through user interface.
[0109] In this context, behavioral habits refer to a collective category of incorrect behavioral habits that need improvement, including insufficient sleep, eating problems, drinking problems, smoking problems, bad relationships, and lack of concentration.
[0110] Furthermore, the behavioral pattern information is constructed in a hierarchical structure and stored in database 30, consisting of multiple triggering conditions that induce at least one behavioral habit in the category and multiple solutions that suppress the behavioral habit instead of at least one triggering condition.
[0111] In step S110, when a login request for behavior pattern information is received from user terminal 10, a user interface is provided. The user interface includes: a first function, inputting at least one behavior habit in the category; a second function, inputting at least one triggering condition that triggers the behavior habit; a third function, inputting at least one solution to suppress the behavior habit in place of the triggering condition; and a fourth function, inputting time information including the time of fulfilling the behavior pattern information, the start date, and the report date.
[0112] The method for providing behavioral habit improvement services according to an embodiment of the present invention described above can also be embodied in the form of a recording medium, which includes computer-executable instructions of a program module. A computer-readable medium can be any available medium accessible by a computer, including volatile and non-volatile media, and discrete and non-discrete media. Furthermore, a computer-readable medium can include computer storage media and communication media. Computer storage media include volatile and non-volatile media, discrete and non-discrete media, embodied by any method or technology for storing information, such as computer-readable instructions, data structures, program modules, or other data.
[0113] The methods and systems of the present invention have been described in connection with specific embodiments, and their structural elements or some or all of their operation can be embodied using a computer system with a common hardware architecture.
[0114] The above description of the present invention is for illustrative purposes only. Those skilled in the art can easily implement the present invention in other specific forms without changing the technical concept or essential features of the invention. Therefore, the embodiments described above are illustrative in all respects and are not intended to limit the present invention. For example, the various structural elements described in a single form can be implemented separately, and similarly, the structural elements described separately can be implemented in combination.
[0115] The scope of this invention is presented by the claims described below, rather than by the detailed description above. All modifications or variations derived from the meaning, scope, and equivalent concepts of the claims are within the scope of this invention.
Claims
1. A management server for improving behavioral habits, characterized in that, include: Communication module; Memory, used to store behavioral habit improvement service providers; and The processor is used to execute the above program. The processor provides the user terminal with a user interface that inputs behavioral pattern information, including behavioral habits, triggering conditions, and solutions, as well as time information for fulfilling the behavioral pattern information, based on the execution of the program. The behavioral pattern information, time information, and user identification information input from the aforementioned user terminal are matched and stored in the database. Generate behavioral pattern feedback that displays the aforementioned behavioral habits, triggering conditions, and solutions on a single screen, and provide this behavioral pattern feedback through the aforementioned user interface. Specifically, in response to receiving a group matching request from a user terminal, the processor matches users with one or more matching behavioral pattern information into a group. The processor sets other users in the group who have the same time information as the user input into a matching group, and provides a list of other users in the matching group to the user terminal.
2. The management server for improving behavioral habits according to claim 1, characterized in that, The processor receives information on whether the aforementioned behavior pattern information has been fulfilled from the user terminal at a preset period. The user interface described above provides the performance rate of the aforementioned behavioral pattern information based on the aforementioned performance or non-performance information through visual images.
3. The management server for improving behavioral habits according to claim 1, characterized in that, The above-mentioned behavioral habits are a collective category of incorrect behavioral habits that need to be improved, including insufficient sleep, eating habits, drinking, smoking, bad relationships, and lack of concentration.
4. The management server for improving behavioral habits according to claim 3, characterized in that, The aforementioned behavioral pattern information consists of multiple triggering conditions that cause at least one behavioral habit in the aforementioned categories, and multiple solutions that replace at least one triggering condition to inhibit the aforementioned behavioral habit, arranged in a hierarchical structure and stored in the aforementioned database.
5. The management server for improving behavioral habits according to claim 3, characterized in that, When the processor receives a login request based on the aforementioned behavior pattern information from the aforementioned user terminal, the aforementioned user interface provides the aforementioned user interface, which includes: The first function is to input at least one behavioral habit from the above categories; The second function is to input at least one triggering condition that leads to the aforementioned behavioral habits; The third function is to provide at least one solution to suppress the aforementioned behavioral habits by replacing the aforementioned triggering conditions; and The fourth function is to input the aforementioned time information, including the time of performance of the above-mentioned behavioral pattern, the start date, and the report date.
6. The management server for improving behavioral habits according to claim 1, characterized in that, The aforementioned processor uses artificial intelligence to identify images of pre-received cognitive behavioral therapy credentials to approve expert terminals. When an expert matching request is received from the aforementioned user terminal, the approved expert terminal will be used as an expert to guide the improvement of user behavior habits.
7. The management server for improving behavioral habits according to claim 6, characterized in that, When the user terminal's utilization information is determined based on the guidance provided by the expert terminal, the processor provides the expert terminal with compensation corresponding to the utilization information provided by the guidance.
8. A method for improving behavioral habits, characterized in that, include: Step (a) provides the user terminal with a user interface for inputting behavioral pattern information including behavioral habits, triggering conditions and solutions, and time information for performing the above behavioral pattern information; Step (b) involves matching the behavioral pattern information, time information, and user identification information input from the aforementioned user terminal and storing them in the database. as well as Step (c) generates behavioral pattern feedback that displays the above-mentioned behavioral habits, triggering conditions, and solutions on a single screen, and provides the behavioral pattern feedback through the user interface. Users with one or more matching behavioral pattern information are grouped together. The method also includes: Set other users in the group who have the same time information as the user input into a matching group, and provide the user terminal with a list of other users in the matching group.
9. The method for improving behavioral habits according to claim 8, characterized in that, It also includes the following steps: The user terminal receives information on whether or not the aforementioned behavioral pattern information has been fulfilled at a preset period; and The user interface described above provides the performance rate of the aforementioned behavioral pattern information based on the aforementioned performance or non-performance information through visual images.
10. The method for improving behavioral habits according to claim 8, characterized in that, The above-mentioned behavioral habits are a collective category of incorrect behavioral habits that need to be improved, including insufficient sleep, eating habits, drinking, smoking, bad relationships, and lack of concentration.
11. The method for improving behavioral habits according to claim 10, characterized in that, The aforementioned behavioral pattern information consists of multiple triggering conditions that cause at least one behavioral habit in the aforementioned categories, and multiple solutions that replace at least one triggering condition to inhibit the aforementioned behavioral habit, arranged in a hierarchical structure and stored in the aforementioned database.
12. The method for improving behavioral habits according to claim 10, characterized in that, In step (a) above, When a login request based on the aforementioned behavior pattern information is received from the aforementioned user terminal, the aforementioned user interface is provided, and the aforementioned user interface includes: The first function is to input at least one behavioral habit from the above categories; The second function is to input at least one triggering condition that leads to the aforementioned behavioral habits; The third function is to provide at least one solution to suppress the aforementioned behavioral habits by replacing the aforementioned triggering conditions; and The fourth function is to input the aforementioned time information, including the time of performance of the above-mentioned behavioral pattern, the start date, and the report date.
13. The method for improving behavioral habits according to claim 8, characterized in that, Expert terminals are approved based on artificial intelligence that identifies pre-received images of qualifications for cognitive behavioral therapy. When an expert matching request is received from the aforementioned user terminal, the approved expert terminal will be used as an expert to guide the improvement of user behavior habits.
14. The method for improving behavioral habits according to claim 13, characterized in that, When the user terminal’s utilization information is determined based on the guidance provided by the expert terminal, compensation corresponding to the utilization information in the guidance is provided to the expert terminal.
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