A method and system for cultivating user operation habits based on vehicle terminal tasks
By collecting and analyzing user behavior data in real time through in-vehicle terminals, and setting up task and reward mechanisms, the problem of low efficiency in cultivating user operating habits has been solved, bad habits have been corrected and the usage rate of functions has been improved, thus enhancing driving safety.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHONGQING CHANGAN TECH CO LTD
- Filing Date
- 2023-04-25
- Publication Date
- 2026-06-09
AI Technical Summary
Existing technologies are inefficient at cultivating user operating habits and lack incentive mechanisms, making it difficult to correct bad driving habits and resulting in low utilization of vehicle functions.
By collecting user behavior data in real time through in-vehicle terminals and combining it with user information and vehicle parameter analysis, targeted tasks and rewards are set up. The task reward mechanism is used to cultivate users' operating habits, including correcting bad habits and cultivating new ones.
It effectively corrects bad driving habits, increases users' usage rate of car assistance functions, and improves driving safety.
Smart Images

Figure CN116409329B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of intelligent vehicles and driver assistance technology, and more specifically, to a method and system for cultivating user operating habits based on in-vehicle terminal tasks. Background Technology
[0002] With the rapid development of the intelligent vehicle industry, intelligent vehicles now have a wide range of functions, including entertainment, navigation, intelligent Q&A, and driver assistance. Some of these functions are not frequently used or are new, and because users are unfamiliar with or unaware of them, they are used very infrequently, which reduces the convenience of using the car.
[0003] In addition, some users have long-term bad driving habits that may lead to safety hazards, such as sudden braking, speeding, not wearing seat belts, not engaging the handbrake when starting the car, turning the steering wheel to its limit, and not matching the speed of traffic flow. If users do not pay attention to operating procedures, accidents may occur, and even personal injury and property damage may occur. Therefore, it is necessary to design a method to cultivate users' driving habits.
[0004] Existing technology discloses a method and system for real-time feedback of driving habits based on an in-vehicle terminal, and an in-vehicle terminal. The method includes the following steps: acquiring vehicle driving information; evaluating the driving information based on a preset algorithm to obtain driving habit evaluation information; and sending the evaluation information. Although the existing method can improve driving safety by statistically analyzing the user's driving data and providing real-time feedback on the user's driving habits, it lacks an incentive mechanism and does not address how to improve the user's driving habits through intensive training or cultivate the user's use of infrequently used in-vehicle assistance functions. As a result, the efficiency and effectiveness of cultivating user operating habits are low. Summary of the Invention
[0005] To overcome the shortcomings of low efficiency and poor effectiveness in cultivating user operating habits in the prior art, this invention provides a method and system for cultivating user operating habits based on in-vehicle terminal tasks. By cultivating user operating habits through a task reward mechanism, it can not only correct bad operating habits and enable car owners to maintain good driving habits, but also improve the overall utilization rate of car functions, thereby effectively improving the safety of user driving.
[0006] To solve the above-mentioned technical problems, the technical solution of the present invention is as follows:
[0007] A method for cultivating user operating habits based on in-vehicle terminal tasks, used to correct users' bad driving habits or cultivate new operating habits, includes the following steps:
[0008] S1: The vehicle-mounted terminal collects user behavior data in real time;
[0009] S2: Analyze user behavior data by combining user information and vehicle parameters to obtain analysis results;
[0010] S3: Based on the analysis results, set targeted tasks and rewards, and display the set tasks and rewards using the vehicle terminal;
[0011] S4: Based on the task displayed on the vehicle terminal, determine whether the user has completed the task. If the user has completed the task, the user will receive the corresponding reward to cultivate operating habits; otherwise, proceed to step S3 to reset the task and reward.
[0012] S5: Repeat steps S1 to S4. When the user completes all tasks, they receive all rewards, thus completing the cultivation of the user's operating habits.
[0013] Preferably, the user's behavior data in step S1 specifically refers to the user's operation data on the vehicle inside the vehicle, including driving habits and the use of vehicle assistance functions during the driving process.
[0014] Preferably, in step S2, the user's behavioral data is analyzed in conjunction with user information and vehicle parameters to obtain analysis results. The specific method is as follows:
[0015] The user information includes the user's gender, age, occupation, and family status, while the vehicle parameters include the vehicle's GPS data, speed, acceleration, vehicle model, and age.
[0016] By combining user information, vehicle parameters, and user behavior data, user profiles are created, analyzed, and identified to obtain analysis results.
[0017] The analysis results include users' poor driving habits and infrequently used vehicle assistance functions.
[0018] Preferably, the specific method for setting targeted tasks and rewards based on the analysis results in step S3 is as follows:
[0019] Based on the analysis results, tasks and rewards were set for users' bad driving habits and in-vehicle assistance functions that were used less frequently.
[0020] When setting tasks and rewards for users' bad driving habits, the severity of the bad driving habits is obtained, and tasks with different levels of importance and difficulty are set according to the severity of different bad driving habits. Different amounts of rewards are set according to the importance and difficulty of the tasks.
[0021] When setting tasks and rewards for in-vehicle assistance functions that are used less frequently, the less frequently the in-vehicle assistance function is used, the higher the importance and difficulty of the tasks should be, and the more rewards should be set accordingly.
[0022] Preferably, in step S3, the specific method for displaying the set tasks and rewards using the vehicle terminal includes: directly displaying the set tasks and rewards using the vehicle terminal, and embedding the set tasks and rewards into the game on the vehicle terminal, with the tasks and the game being associated through cross-process communication.
[0023] Preferably, the cross-process communication includes HTTP protocol and Bundle data transfer.
[0024] Preferably, the specific method for resetting the task and reward in step S4 is to reduce the difficulty of the task and the number of rewards, or to maintain the difficulty level of the task and the number of rewards, while providing more task guidance.
[0025] Preferably, in step S5, all rewards include rewards corresponding to each task and additional rewards obtained by completing multiple tasks.
[0026] The present invention also provides a user operation habit cultivation system based on vehicle terminal tasks, which applies the above-mentioned user operation habit cultivation method based on vehicle terminal tasks, including a vehicle terminal, a behavior data analysis module, a task management module and a reward distribution module connected in sequence;
[0027] The vehicle-mounted terminal is also connected to the task management module and the reward distribution module, respectively.
[0028] The vehicle-mounted terminal is used to collect user behavior data in real time and display tasks and rewards;
[0029] The behavior data analysis module is used to analyze user behavior data by combining user information and vehicle parameters, and obtain analysis results;
[0030] The task management module is used to set targeted tasks and rewards based on the analysis results, and to display them using the vehicle terminal;
[0031] The reward distribution module is used to distribute rewards after the user completes the corresponding task and then send the feedback to the vehicle terminal for display.
[0032] Preferably, the system further includes a communication module for enabling communication between the vehicle-mounted terminal and the smart mobile device.
[0033] Compared with the prior art, the beneficial effects of the technical solution of the present invention are:
[0034] This invention provides a method and system for cultivating user operating habits based on in-vehicle terminal tasks, used to correct users' bad driving habits or cultivate new operating habits. The method includes: real-time collection of user behavior data by the in-vehicle terminal; analysis of the user behavior data in combination with user information and vehicle parameters to obtain analysis results; setting targeted tasks and rewards based on the analysis results, and displaying the set tasks and rewards using the in-vehicle terminal; determining whether the user has completed the tasks based on the tasks displayed on the in-vehicle terminal, and if the user has completed the tasks, obtaining the corresponding rewards to cultivate operating habits; otherwise, resetting the tasks and rewards; repeating the above steps until the user completes all tasks and obtains all rewards, thus completing the cultivation of user operating habits.
[0035] This invention cultivates users' operating habits through a task reward mechanism, which can not only correct bad operating habits and enable car owners to maintain good driving habits, but also improve the overall utilization rate of car assistance functions, thereby effectively improving the safety of users' driving. Attached Figure Description
[0036] Figure 1 The flowchart of a user operation habit cultivation method based on vehicle terminal tasks provided in Example 1 is shown.
[0037] Figure 2 This is a structural diagram of a user operation habit cultivation system based on vehicle terminal tasks provided in Example 3.
[0038] Figure 3 This is a flowchart of the vehicle terminal workflow provided in Example 3.
[0039] Figure 4 The flowchart shows the workflow of the behavioral data analysis module provided in Example 3.
[0040] Figure 5 The flowchart is for the task management module provided in Example 3.
[0041] Figure 6 This is a flowchart of the reward distribution module provided in Example 3.
[0042] Figure 7 This is a flowchart of a user operation habit cultivation system based on vehicle terminal tasks provided in Example 3. Detailed Implementation
[0043] The embodiments of the present invention will be described below with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for illustrating the present invention and not for limiting the scope of protection of the present invention.
[0044] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. Therefore, the drawings only show the components related to the present invention and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.
[0045] like Figure 1 As shown, this embodiment provides a method for cultivating user operating habits based on in-vehicle terminal tasks, used to correct users' bad driving habits or cultivate new operating habits, including the following steps:
[0046] S1: The vehicle-mounted terminal collects user behavior data in real time;
[0047] S2: Analyze user behavior data by combining user information and vehicle parameters to obtain analysis results;
[0048] S3: Based on the analysis results, set targeted tasks and rewards, and display the set tasks and rewards using the vehicle terminal;
[0049] S4: Based on the task displayed on the vehicle terminal, determine whether the user has completed the task. If the user has completed the task, the user will receive the corresponding reward to cultivate operating habits; otherwise, proceed to step S3 to reset the task and reward.
[0050] S5: Repeat steps S1 to S4. When the user completes all tasks, they receive all rewards, thus completing the cultivation of the user's operating habits.
[0051] In the specific implementation process, the vehicle terminal collects user behavior data in real time; then, it analyzes the user behavior data in combination with user information and vehicle parameters to obtain analysis results; based on the analysis results, it sets targeted tasks and rewards, and displays the set tasks and rewards using the vehicle terminal;
[0052] Based on the task displayed on the vehicle terminal, it is determined whether the user has completed the task. If the user completes the task, the user receives the corresponding reward, thus cultivating operating habits; otherwise, the task and reward are reset.
[0053] Repeat the above steps until the user completes all tasks and receives all rewards, thus cultivating the user's operating habits.
[0054] This method cultivates users' operating habits through a task reward mechanism, which can not only correct bad operating habits and enable car owners to maintain good driving habits, but also improve the overall utilization rate of car assistance functions, thereby effectively improving the safety of users' driving.
[0055] In another embodiment, a method for cultivating user operating habits based on in-vehicle terminal tasks is provided to correct users' bad driving habits or cultivate new operating habits, including the following steps:
[0056] S1: The vehicle-mounted terminal collects user behavior data in real time;
[0057] S2: Analyze user behavior data by combining user information and vehicle parameters to obtain analysis results;
[0058] S3: Based on the analysis results, set targeted tasks and rewards, and display the set tasks and rewards using the vehicle terminal;
[0059] S4: Based on the task displayed on the vehicle terminal, determine whether the user has completed the task. If the user has completed the task, the user will receive the corresponding reward to cultivate operating habits; otherwise, proceed to step S3 to reset the task and reward.
[0060] S5: Repeat steps S1 to S4. When the user completes all tasks, obtain all rewards and complete the cultivation of the user's operating habits.
[0061] The user behavior data in step S1 specifically refers to the user's operation data on the vehicle inside the vehicle, including driving habits and the use of vehicle assistance functions during the driving process.
[0062] In step S2, the user's behavioral data is analyzed by combining user information and vehicle parameters to obtain analysis results. The specific method is as follows:
[0063] The user information includes the user's gender, age, occupation, and family status, while the vehicle parameters include the vehicle's GPS data, speed, acceleration, vehicle model, and age.
[0064] By combining user information, vehicle parameters, and user behavior data, user profiles are created, analyzed, and identified to obtain analysis results.
[0065] The analysis results include users' poor driving habits and infrequently used vehicle assistance functions;
[0066] The specific method for setting targeted tasks and rewards based on the analysis results in step S3 is as follows:
[0067] Based on the analysis results, tasks and rewards were set for users' bad driving habits and in-vehicle assistance functions that were used less frequently.
[0068] When setting tasks and rewards for users' bad driving habits, the severity of the bad driving habits is obtained, and tasks with different levels of importance and difficulty are set according to the severity of different bad driving habits. Different amounts of rewards are set according to the importance and difficulty of the tasks.
[0069] When setting tasks and rewards for in-vehicle assistance functions that are used less frequently, the less frequently the in-vehicle assistance function is used, the higher the importance and difficulty of the tasks should be, and the more rewards should be set accordingly.
[0070] In step S3, the specific methods for displaying the set tasks and rewards using the vehicle terminal include: directly displaying the set tasks and rewards using the vehicle terminal, and embedding the set tasks and rewards into the game on the vehicle terminal, with the tasks and the game being associated through cross-process communication;
[0071] The cross-process communication includes HTTP protocol and Bundle data transfer;
[0072] The specific method for resetting tasks and rewards in step S4 is to reduce the difficulty of tasks and the number of rewards, or to maintain the difficulty level of tasks and the number of rewards, while providing more task guidance.
[0073] In step S5, all rewards include rewards corresponding to each task and additional rewards obtained by completing multiple tasks.
[0074] In the specific implementation process, the vehicle terminal collects user behavior data in real time, specifically the user's operation data of the vehicle inside the vehicle, including driving habits and the use of vehicle assistance functions during the driving process;
[0075] Then, user behavior data is analyzed by combining user information and vehicle parameters to obtain analysis results. The specific method is as follows:
[0076] The user information includes the user's gender, age, occupation, and family status, while the vehicle parameters include the vehicle's GPS data, speed, acceleration, vehicle model, and age.
[0077] By combining user information, vehicle parameters, and user behavior data, user profiles are created, analyzed, and identified to obtain analysis results.
[0078] A user portrait refers to the vehicle terminal's collection of information such as the user's behavior habits and user information, like the owner's driving habits - sudden braking, frequent use of cruise control, not using the turn signal when turning, age, gender, etc., for behavior analysis and mining. From this, information about the user's characteristics and behaviors is obtained, and a user portrait is generated;
[0079] The analysis results include the user's bad driving habits during the driving process and the vehicle-mounted device auxiliary functions with less usage frequency;
[0080] The specific analysis process is to set corresponding formula algorithms according to different behavior data: For example, the algorithm judgment logic for sudden braking is to calculate the vehicle's acceleration A, "A = V1 (initial vehicle speed)^2 / (2S) (S is the braking distance)". When the obtained A value is within the range of 5 - 7m / s 2 then it is determined as sudden braking; the logical judgment formula for speeding is "B (percentage of speeding) = V3 (actual speed) - V4 (maximum speed specified for the road) / V5 (maximum speed specified for the road)". When B ≤ 0, it is judged as not speeding; when 0 < B ≤ 10%, it is determined as mild speeding; when 10% < B ≤ 20%, it is determined as moderate speeding; when B > 20%, it is determined as severe speeding;
[0081] By analyzing information such as the vehicle's GPS data, vehicle speed, and acceleration, the user's driving behavior is analyzed, such as determining whether the user has good driving habits and whether there are bad behaviors such as speeding and sudden braking; at the same time, by analyzing the usage of vehicle-mounted device auxiliary functions, indicators such as the usage frequency and usage duration of various vehicle-mounted device functions by the user are analyzed, and then functions that the user is not familiar with or does not often use are identified; in addition, by analyzing information such as the user's driving route, vehicle model, and vehicle age, some characteristics of the user, such as the user's occupation and family status, are comprehensively identified, and then more personalized task recommendations are provided for the user;
[0082] After that, targeted tasks and rewards are set according to the analysis results, and the set tasks and rewards are displayed using the vehicle terminal. Specifically:
[0083] According to the analysis results, tasks and rewards are respectively set for the user's bad driving habits during the driving process and the vehicle-mounted device auxiliary functions with less usage frequency to help the user improve bad habits or master more auxiliary functions;
[0084] When setting tasks and rewards for the user's bad driving habits during the driving process, obtain the severity of the bad driving habits, set tasks with different importance and difficulty levels according to the severity of different bad driving habits, and set different numbers of rewards according to the importance and difficulty levels of the tasks. For example, the task of using automatic start-stop and the task of safe driving habits have different importance levels and different numbers of rewards;
[0085] When setting tasks and rewards for in-vehicle assistance functions that are used less frequently, the less frequently the in-vehicle assistance function is used, the higher the importance and difficulty of the tasks should be, and the more rewards should be set accordingly.
[0086] There are two ways to display tasks and rewards: one is to directly display the pre-set tasks and rewards using the in-vehicle terminal, and the other is to embed the pre-set tasks and rewards into the game on the in-vehicle terminal to attract users to actively complete tasks and cultivate habits.
[0087] Tasks and games are linked through cross-process communication, which includes HTTP protocol and Bundle data transfer;
[0088] Based on the task displayed on the vehicle terminal, it is determined whether the user has completed the task. If the user completes the task, the user receives the corresponding reward, thus cultivating operating habits; otherwise, the task and reward are reset.
[0089] For example, to address the common issue of drivers not disengaging the electronic parking brake after turning off the engine, a corresponding task is generated to remind the user to disengage the electronic parking brake before turning off the engine. Based on task completion, the following strategies are used to automatically and intelligently design the next task: If the user has successfully completed the previous task, the next task is automatically designed based on the user's behavior data and previous task records; if the user has not completed the previous task, the task difficulty can be appropriately reduced or more detailed task guidance can be provided to help the user better understand the task objectives and operating procedures; if the user fails to complete the task multiple times consecutively, more detailed task guidance and feedback are provided to the user when the task is pushed through the in-vehicle terminal.
[0090] Repeat the above steps until the user completes all tasks and receives all rewards, thus cultivating the user's operating habits.
[0091] In this embodiment, all rewards include rewards corresponding to each task and additional rewards for completing multiple tasks. The types of rewards are set according to the user profile to meet the user's needs, which can increase user stickiness and marketing effectiveness. In addition, this method can also manually define some tasks and fixed rewards to customize certain marketing and promotional activities.
[0092] This method cultivates users' operating habits through a task reward mechanism, which can not only correct bad operating habits and enable car owners to maintain good driving habits, but also improve the overall utilization rate of car assistance functions, thereby effectively improving the safety of users' driving.
[0093] In another embodiment, such as Figure 2As shown, this embodiment also provides a user operation habit cultivation system based on vehicle terminal tasks, which applies the user operation habit cultivation method based on vehicle terminal tasks described in embodiment 1 or 2, including a vehicle terminal, a behavior data analysis module, a task management module and a reward distribution module connected in sequence;
[0094] The vehicle-mounted terminal is also connected to the task management module and the reward distribution module, respectively.
[0095] The vehicle-mounted terminal is used to collect user behavior data in real time and display tasks and rewards;
[0096] The behavior data analysis module is used to analyze user behavior data by combining user information and vehicle parameters, and obtain analysis results;
[0097] The task management module is used to set targeted tasks and rewards based on the analysis results, and to display them using the vehicle terminal;
[0098] The reward distribution module is used to distribute rewards after the user completes the corresponding task and send the feedback to the vehicle terminal for display.
[0099] The system also includes a communication module for enabling communication between the vehicle-mounted terminal and the smart mobile device.
[0100] In the specific implementation process, such as Figure 3 The diagram shows the workflow of the vehicle terminal. The vehicle terminal collects user behavior data in real time and sends it to the behavior data analysis module. After receiving the task and reward information, it displays it and guides the user to complete the task to cultivate operating habits. Then, it monitors the completion of the task in real time. After the user completes the task, it receives the reward issued by the reward distribution module and records the issued reward.
[0101] like Figure 4 The diagram shows the workflow of the behavior data analysis module. After receiving user behavior data, the module analyzes the data and sends the analysis results to the task management module. At the same time, the module receives and analyzes user behavior data corresponding to the task sent by the vehicle terminal and sends the task completion result to the task management module.
[0102] like Figure 5 The diagram shows the workflow of the task management module. After receiving the analysis results, the module sets the corresponding tasks and rewards and displays them through the vehicle terminal. After receiving the task completion results, the module determines whether the task is completed. When the user completes the task, the module sends a reward distribution instruction to the reward distribution module.
[0103] like Figure 6The diagram shows the workflow of the reward distribution module. After receiving the reward distribution instruction, the module distributes the corresponding reward and sends the feedback to the vehicle terminal for display. At the same time, it records the distributed rewards and sends an error message and records the failure to distribute the reward.
[0104] like Figure 7 As shown, the workflow of the user operation habit cultivation system based on vehicle terminal tasks is as follows:
[0105] First, the vehicle terminal collects user behavior data in real time and sends it to the behavior data analysis module;
[0106] The behavior data analysis module receives user behavior data, analyzes the user behavior data in combination with user information and vehicle parameters, obtains the analysis results, and sends them to the task management module.
[0107] After receiving the analysis results, the task management module sets targeted tasks and rewards based on the analysis results and sends them to the vehicle terminal for display.
[0108] After receiving the task information, the vehicle terminal monitors the status of the task in real time, collects the user behavior data corresponding to the task in real time, and sends it back to the behavior data analysis module.
[0109] After receiving the user behavior data corresponding to the task, the behavior data analysis module analyzes it again, obtains the task completion result, and sends it to the task management module.
[0110] After receiving the task completion result, the task management module will determine whether the user has completed the task. If the task is completed, the reward distribution instruction will be sent to the reward distribution module; if the task is not completed, the task difficulty will be reduced or more task guidance will be provided.
[0111] Upon receiving a reward distribution instruction, the reward distribution module distributes the corresponding reward and displays the result on the vehicle terminal. It also records the distributed rewards and sends an error message if the reward distribution fails.
[0112] Repeat the above steps to cultivate user operating habits;
[0113] The communication module enables communication between the vehicle terminal and smart mobile devices (such as smartphones and smartwatches), allowing users to check task and reward status at any time on their smart mobile devices.
[0114] The following two specific application examples illustrate the functionality of this system:
[0115] Example 1 shows the workflow for using this system to correct users' bad habit of not using turn signals when changing lanes:
[0116] 1) Vehicle terminal records and feeds back behavioral data: Based on the vehicle data, it was found that the driver did not detect the use of the turn signal when changing lanes. The vehicle terminal uploaded this behavioral data to the behavioral data analysis module.
[0117] 2) Behavioral data analysis module receives behavioral data: It receives user behavior data transmitted from the vehicle terminal;
[0118] 3) Behavioral data analysis module analyzes behavioral data: It analyzes behavioral data to find that the user has a bad habit of changing lanes without signaling, and transmits the analysis results to the task management module;
[0119] 4) Task Management Module: Create a new task instruction: Design an operation task that requires 50 lane change signal activations based on users' poor operating habits;
[0120] 5) Task management module issues operation tasks: The customized operation tasks are issued to the vehicle terminal of the specified user;
[0121] 6) Vehicle terminal receives tasks and provides feedback: The user receives a task to change lanes and signal 50 times, and performs the operation as required; the vehicle terminal automatically records the behavioral data of lane changing and signaling and uploads it to the behavior analysis system;
[0122] 7) Task management module confirms task completion: When a user performs 50 lane change signal operations, the task management module will send the result to the reward distribution module;
[0123] 8) Reward Distribution Module Receives Feedback Information: Receives task completion status feedback instructions transmitted from the task management module;
[0124] 9) Reward Distribution Module: Distribute a 50 RMB online store coupon to a designated user;
[0125] 10) Users receive rewards on the in-vehicle terminal: Users receive a 50 yuan coupon, which can be used in the online store;
[0126] Example 2 illustrates the workflow for using this system to cultivate users' habit of using cruise control at high speeds:
[0127] 1) Vehicle terminal records and feeds back behavioral data: Based on the vehicle data, it was found that the driver drove at a speed of 120 km / h for a long time without using the cruise control function. The vehicle terminal uploaded this behavioral data to the behavioral data analysis module.
[0128] 2) Behavioral data analysis module receives behavioral data: It receives user behavior data transmitted from the vehicle terminal;
[0129] 3) Behavioral data analysis module analyzes behavioral data: It analyzes behavioral data to determine that the user has not used the cruise control function and transmits the analysis results to the task management module;
[0130] 4) Task Management Module: Create a new task instruction: Based on the user's situation, design the function of cruise control to be used 10 times on the highway and generate the corresponding operation manual.
[0131] 5) Task management module issues operation tasks: The customized operation tasks are issued to the vehicle terminal of the specified user;
[0132] 6) Vehicle terminal receives tasks and provides feedback: The user receives an operation task to use the cruise control function 10 times on the highway and browses the operation manual. Then, the user performs the operation as required while driving on the highway. The vehicle terminal automatically records the driving speed, driving time, and number of cruise control usage behaviors and uploads them to the behavior analysis system.
[0133] 7) Task management module confirms task completion: When the user drives at high speed for a long time and uses the cruise control function, the task management module determines that the user has performed the task. After the task is performed 10 times, the result is sent to the reward distribution module.
[0134] 8) Reward Distribution Module Receives Feedback Information: Receives task completion status feedback instructions transmitted from the task management module;
[0135] 9) Reward Distribution Module: Distribute a 50 RMB online store coupon to a designated user;
[0136] 10) Users receive rewards on the in-vehicle terminal: Users receive a 50 yuan coupon, which can be used in the online store;
[0137] This system cultivates users' operating habits through a task reward mechanism. It can not only correct bad operating habits and help car owners maintain good driving habits, but also improve the overall utilization rate of car assistance functions, thereby effectively improving the safety of users' driving.
[0138] The same or similar labels correspond to the same or similar parts;
[0139] The terms used to describe positional relationships in the accompanying drawings are for illustrative purposes only and should not be construed as limiting this patent.
[0140] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the implementation of the present invention. Those skilled in the art can make other variations or modifications based on the above description. It is neither necessary nor possible to exhaustively describe all embodiments here. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the claims of the present invention.
Claims
1. A method for cultivating user operating habits based on in-vehicle terminal tasks, used to correct users' bad driving habits or cultivate new operating habits, characterized in that... Includes the following steps: S1: The vehicle-mounted terminal collects user behavior data in real time; S2: Analyze user behavior data by combining user information and vehicle parameters to obtain analysis results; S3: Based on the analysis results, set targeted tasks and rewards, and display the set tasks and rewards using the vehicle terminal; S4: Based on the task displayed on the vehicle terminal, determine whether the user has completed the task. If the user has completed the task, the user will receive the corresponding reward to cultivate operating habits; otherwise, proceed to step S3 to reset the task and reward. S5: Repeat steps S1 to S4. When the user completes all tasks, obtain all rewards and complete the cultivation of the user's operating habits. The specific method for setting targeted tasks and rewards based on the analysis results in step S3 is as follows: Based on the analysis results, tasks and rewards were set for users' bad driving habits and in-vehicle assistance functions that were used less frequently. When setting tasks and rewards for users' bad driving habits, the severity of the bad driving habits is obtained, and tasks with different levels of importance and difficulty are set according to the severity of different bad driving habits. Different amounts of rewards are set according to the importance and difficulty of the tasks. When setting tasks and rewards for in-vehicle assistance functions that are used less frequently, the less frequently the in-vehicle assistance function is used, the higher the importance and difficulty of the tasks should be, and the more rewards should be set accordingly.
2. The method for cultivating user operating habits based on vehicle terminal tasks according to claim 1, characterized in that, The user behavior data in step S1 specifically refers to the user's operation data on the vehicle inside the vehicle, including driving habits and the use of vehicle assistance functions during the driving process.
3. The method for cultivating user driving habits based on vehicle terminal tasks according to claim 2, characterized in that, In step S2, the user's behavioral data is analyzed by combining user information and vehicle parameters to obtain analysis results. The specific method is as follows: The user information includes the user's gender, age, occupation, and family status, while the vehicle parameters include the vehicle's GPS data, speed, acceleration, vehicle model, and age. By combining user information, vehicle parameters, and user behavior data, user profiles are created, analyzed, and identified to obtain analysis results. The analysis results include users' poor driving habits and infrequently used vehicle assistance functions.
4. The method for cultivating user driving habits based on in-vehicle terminal tasks according to claim 3, characterized in that, In step S3, the specific methods for displaying the set tasks and rewards using the vehicle terminal include: directly displaying the set tasks and rewards using the vehicle terminal, and embedding the set tasks and rewards into the game on the vehicle terminal, with the tasks and the game being associated through cross-process communication.
5. The method for cultivating user driving habits based on in-vehicle terminal tasks according to claim 4, characterized in that, The cross-process communication includes the HTTP protocol and Bundle data transfer.
6. The method for cultivating user driving habits based on in-vehicle terminal tasks according to claim 5, characterized in that, The specific method for resetting tasks and rewards in step S4 is to reduce the difficulty of tasks and the number of rewards, or to maintain the difficulty level of tasks and the number of rewards, while providing more task guidance.
7. The method for cultivating user driving habits based on in-vehicle terminal tasks according to claim 6, characterized in that, In step S5, all rewards include rewards corresponding to each task and additional rewards obtained by completing multiple tasks.
8. A user operation habit cultivation system based on vehicle terminal tasks, employing the user operation habit cultivation method based on vehicle terminal tasks as described in any one of claims 1 to 7, characterized in that, This includes an in-vehicle terminal, a behavior data analysis module, a task management module, and a reward distribution module, which are connected in sequence. The vehicle-mounted terminal is also connected to the task management module and the reward distribution module, respectively. The vehicle-mounted terminal is used to collect user behavior data in real time and display tasks and rewards; The behavior data analysis module is used to analyze user behavior data by combining user information and vehicle parameters, and obtain analysis results; The task management module is used to set targeted tasks and rewards based on the analysis results, and to display them using the vehicle terminal; The reward distribution module is used to distribute rewards after the user completes the corresponding task and then send the feedback to the vehicle terminal for display.
9. A user driving habit cultivation system based on vehicle terminal tasks according to claim 8, characterized in that, The system also includes a communication module for enabling communication between the vehicle-mounted terminal and the smart mobile device.