Short video anti-addiction method and mobile terminal
By detecting and intervening in real time with user swiping actions, and using methods such as swipe replacement, increased resistance, and black-and-white display, the problem of limited intervention methods and poor user experience in short video applications has been solved. This has enabled real-time and personalized intervention for high-frequency swipes, thereby improving user acceptance.
Patent Information
- Application Number
- CN202511716246.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-21
- Publication Date
- 2026-02-10
AI Technical Summary
Existing anti-addiction solutions for short video apps are limited in their intervention methods, lack real-time updates, provide a poor user experience, and are prone to causing resentment.
By detecting the user's continuous swiping actions, intervention mechanisms are triggered in real time, including swiping action replacement, increased resistance, and black-and-white display of the interface. Combined with user-defined intensity and cloud data analysis optimization strategies, personalized intervention can be achieved.
It enables real-time interruption of high-frequency swiping behavior, improves user experience, reduces interference from forced screen locking and pop-ups, has high user acceptance, low cost, and is easy to promote.
Smart Images
Figure CN121501191A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of mobile terminal application control technology, specifically to a method for preventing addiction to short videos and a mobile terminal. Background Technology
[0002] With the development of mobile internet technology, short video applications have rapidly gained popularity due to their "fragmented content and instant feedback" characteristics. According to third-party statistics, in 2024, the number of short video users in my country reached 1.04 billion, with an average daily usage time exceeding 90 minutes and a usage rate as high as 93.8%. Short video platforms, through their "unlimited information flow" design, high-frequency visual stimulation, and dopamine reward mechanisms, create an addictive behavioral pattern of "swipe-gain pleasure-swipe again"—frequent swiping reduces the brain's sensitivity to dopamine, requiring users to swipe for longer periods and at higher frequencies to obtain the same level of pleasure, ultimately leading to uncontrolled usage time.
[0003] Existing solutions for short video addiction mainly suffer from the following drawbacks: (1) Limited intervention methods: relying mainly on passive measures such as "usage time reminders" and "forced screen lock", users can easily ignore the reminders or manually turn off the screen lock function, resulting in limited intervention effects; (2) Lack of real-time capability: Most solutions are based on “cumulative usage time” to trigger intervention, which cannot interrupt the core addictive behavior of “high-frequency swiping” in real time; (3) Poor user experience: Forced screen locking, pop-up blocking and other methods are likely to cause user resentment, leading users to actively disable the anti-addiction function.
[0004] Therefore, there is an urgent need for a short video anti-addiction solution that is "real-time, natural in intervention, and highly acceptable to users" to address the shortcomings of existing technologies. Summary of the Invention
[0005] The purpose of this invention is to provide a method and mobile terminal for preventing short video addiction, so as to solve the problems existing in the prior art mentioned in the background.
[0006] To achieve the above objectives, the present invention provides the following technical solution: A method for preventing short video addiction includes the following steps: S1: Detect the user's continuous swiping operation status in the short video application; S2: When the continuous sliding operation state is detected to meet the preset conditions, the anti-addiction intervention mechanism is triggered; S3: Implement at least one of the following intervention methods: (1) Randomly replace the user's swipe operation with a back operation; (2) Increase the resistance of the sliding operation and extend the sliding distance; (3) Switch the application interface to black and white display mode.
[0007] Preferably, the specific steps for detecting the continuous sliding operation state in step S1 are as follows: S11: Count the number of times a user swipes within a preset time window; S12: If the number of swipes exceeds a preset threshold, it is determined that the user is addicted to watching videos.
[0008] Preferably, the specific steps of intervention method (1) in S3 are as follows: When a user performs an up or down swipe gesture, the gesture is mapped to a return command with a preset probability. The return command is used to exit the current video playback interface or return to the parent interface of the short video application.
[0009] Preferably, the specific steps of the intervention method (2) in S3 include at least one of the following implementation methods: (2.1) Introduce virtual friction during the sliding process so that the sliding distance needs to be 1.5 to 3 times the original normal sliding distance to complete the video switching; (2.2) Add a delayed response time during the sliding process.
[0010] Preferably, the specific steps of intervention method (3) in S3 are as follows: The video screen and all interface elements within the application are converted to grayscale display the moment the user swipes to switch videos; the color display is automatically restored after the user stops swiping for more than a preset time or actively exits the short video application.
[0011] Preferably, it also includes an anti-addiction mode configuration step: users can manually turn the anti-addiction function on or off and set three levels of intervention intensity: mild, moderate and severe.
[0012] Preferably, the intervention intensity level setting includes a dynamic intervention intensity adjustment step: Based on the user's pre-set daily usage time limit, when the remaining usage time is less than 20%-10% of the total limit, the intervention intensity will be gradually increased, and a lightweight prompt message will be displayed in the corner of the interface during the intervention.
[0013] Preferably, it also includes a user behavior recording and analysis step: recording user intervention-related data and generating periodic usage reports, which are then encrypted and sent to the server to optimize personalized intervention strategies.
[0014] The present invention also provides a mobile terminal suitable for the above method, comprising: Detection unit: The detection unit is used to collect and analyze the user's continuous swiping operation data in the short video application in real time; Judgment unit: The judgment unit is electrically connected to the detection unit, and is used to receive the sliding operation data output by the detection unit, determine whether the user is in a state of video-watching addiction, and send a trigger signal to the intervention unit; Intervention unit: The intervention unit is electrically connected to the judgment unit and is used to perform intervention operations after receiving a trigger signal.
[0015] Preferably, the mobile terminal also includes: Configuration Unit: The configuration unit is integrated into the system settings module of the mobile terminal or the short video application, and receives user instructions on the anti-addiction function switch, intensity level and usage time limit, and synchronizes the parameters to the intervention unit; Recording unit and sending unit: The recording unit is used to store user intervention-related data, and the sending unit is electrically connected to the communication module to encrypt and send the report to the server and supports resuming interrupted transmission.
[0016] Compared with the prior art, the beneficial effects of the present invention are: 1. This invention performs real-time detection of the core addictive behavior of high-frequency swiping, rather than relying on cumulative time, which can break the addiction chain earlier. Moreover, by replacing gestures, increasing resistance, and displaying in black and white, it is integrated into the user's normal operation process without strong interference methods such as forced screen locking or pop-up obstruction, which makes it highly acceptable to users.
[0017] 2. This invention supports user-defined intervention intensity, combines cloud data analysis to push personalized strategies, adapts to the usage habits of different users, and can be implemented based on existing mobile terminal hardware without the need for additional hardware, making it low-cost and easy to promote. Attached Figure Description
[0018] Figure 1 This is a flowchart illustrating the method of the present invention.
[0019] Figure 2 This is a schematic diagram of the interface for gesture replacement intervention according to the present invention.
[0020] Figure 3 This is a schematic diagram showing the operation comparison of the enhanced sliding resistance of the present invention.
[0021] Figure 4 This is a comparative diagram showing the black-and-white effect of the application interface of this invention.
[0022] Figure 5 This is a schematic diagram of the functional units of the mobile terminal of the present invention. Detailed Implementation
[0023] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below in conjunction with specific embodiments.
[0024] Please see Figure 1-5 The present invention provides the following technical solutions: A method for preventing short video addiction includes the following steps: S1: Detect the user's continuous swiping operation status in the short video application; The specific steps for continuous sliding operation state detection are as follows: S11: Counts the number of times a user swipes within a preset time window. The preset time window can be set to 5-10 minutes, and can be set by the system default or by the user. S12: If the number of swipes exceeds a preset threshold, it is determined that the user is addicted to watching videos. The threshold can be set to 15-25 times per window, which can be adapted to different application scenarios.
[0025] S2: When the continuous sliding operation state is detected to meet the preset conditions, the anti-addiction intervention mechanism is triggered.
[0026] S3: Implement at least one of the following intervention methods: (1) Randomly replace the user's swipe operation with a back operation; the specific steps of intervention method (1) are as follows: When a user performs an up or down swipe gesture, the gesture is mapped to a return command with a preset probability (the probability can be set to 10%-30%, which is adjusted according to the level of intervention intensity). The return command is used to exit the current video playback interface or return to the parent interface of the short video application.
[0027] (2) Increase the resistance of the sliding operation and extend the sliding distance; the specific steps of intervention method (2) include at least one of the following implementation methods: (2.1) Introduce virtual friction during the sliding process so that the sliding distance needs to be 1.5 to 3 times the original normal sliding distance to complete the video switching; (2.2) Add a delayed response time during the sliding process. The delay time can be set to 0.3-1 seconds and adjusted according to the level of intervention intensity.
[0028] (3) Switch the application interface to black and white display mode; the specific steps of intervention method (3) are as follows: The video screen and all interface elements (such as buttons, text, and progress bars) are converted to grayscale display the moment the user swipes to switch videos; the color display is automatically restored after the user stops swiping for more than a preset time (such as 3 seconds) or actively exits the short video application.
[0029] The method also includes an anti-addiction mode configuration step: users can manually enable or disable the anti-addiction function and set three intervention intensity levels: mild, moderate, and severe; the intervention intensity level setting includes a dynamic intervention intensity adjustment step: Based on the user's pre-set daily usage time limit, when the remaining usage time is less than 20%-10% of the total limit, the intervention intensity will be gradually increased, and a lightweight prompt message will be displayed in the corner of the interface during the intervention.
[0030] The method also includes user behavior recording and analysis steps: recording user intervention-related data and generating periodic usage reports, which are then encrypted and sent to the server to optimize personalized intervention strategies.
[0031] The present invention also provides a mobile terminal suitable for the above method, comprising: Detection Unit: The detection unit is used to collect and analyze the user's continuous swiping operation data (including swiping direction, swiping speed, and swiping interval) in the short video application in real time; the detection unit is specifically used to: count the number of times the user swipes within a preset time window based on the touch screen sensor of the mobile terminal; if the number of swipes exceeds a preset threshold, an addiction state judgment signal is generated and sent to the judgment unit to trigger the judgment unit to execute the judgment logic.
[0032] Judgment Unit: The judgment unit is electrically connected to the detection unit and is used to receive the sliding operation data output by the detection unit. When the data meets the preset conditions (such as sliding more than 15 times within 5 minutes), it determines that the user is in a state of video-watching addiction and sends a trigger signal to the intervention unit. Intervention Unit: The intervention unit is electrically connected to the judgment unit and is used to perform intervention operations after receiving a trigger signal. The intervention unit includes the following sub-modules: Gesture Replacement Module: used to parse the coordinates of the user's swipe up or swipe down gestures, map the gesture command to a return command according to a preset probability, and send it to the application's interaction logic layer; Resistance Enhancement Module: interacts with the touch screen driver to introduce virtual friction by adjusting touch response parameters or sending a delayed response command to the application; Interface Processing Module: interacts with the mobile terminal's display driver to trigger a grayscale rendering command when switching videos by swiping, converting the RGB color space to grayscale space; The intervention unit is also used to: read the user's usage time limit from the configuration unit, calculate the remaining time ratio based on the current usage time to adjust the intervention intensity, and call the display module to display prompt information during intervention.
[0033] Configuration Unit: The configuration unit is integrated into the system settings module of the mobile terminal or the short video application, and receives user instructions on the anti-addiction function switch, intensity level and usage time limit, and synchronizes the parameters to the intervention unit; Recording unit and sending unit: The recording unit is used to store user intervention-related data, and the sending unit is electrically connected to the communication module to encrypt and send the report to the server and supports resuming interrupted transmission.
[0034] Example 1 Mild intervention scenarios: User A is an office worker who uses short video apps during their daily commute. They set the app to "mild intervention" mode, limiting their daily usage time to 1 hour. Detection: Between 8:00 and 8:05 AM (5-minute window), User A swiped a short video 16 times (exceeding the threshold of 15 times), which was determined to be an addictive state; Intervention: Trigger mild intervention - replace gesture with a 10% probability (1 out of 16 swipes is replaced by a back operation), increase swipe resistance to 1.5 times, and trigger a black and white display for 30% of swipe operations; Dynamic adjustment: When user A's daily usage time reaches 48 minutes (with 12 minutes remaining, i.e., 20% of the total limit), the intervention intensity will automatically increase to moderate. Records and Reports: Generates a simplified usage report for the day, highlighting high-frequency usage periods.
[0035] Example 2 Severe intervention scenarios: User B is a student who has a habit of watching videos at night. The settings are "severe intervention" with a "daily usage time limit of 45 minutes". Detection: Between 22:00 and 22:05, User B swiped short videos 22 times (exceeding the threshold of 18 times), which was determined to be an addictive state; Intervention: Trigger severe intervention - 30% probability of gesture replacement, sliding resistance increased to 3 times, response delay of 1 second, all sliding operations trigger black and white display; A message will appear in the corner of the screen: "36 minutes have been used, 9 minutes remain" for 5 seconds. Cloud optimization: Based on user B's habits, the server will prioritize increasing the intervention weight for "black and white display".
[0036] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.
Claims
1. A method for preventing addiction to short videos, characterized in that, Includes the following steps: S1: Detect the user's continuous swiping operation status in the short video application; S2: When the continuous sliding operation state is detected to meet the preset conditions, the anti-addiction intervention mechanism is triggered; S3: Implement at least one of the following intervention methods: (1) Randomly replace the user's swipe operation with a back operation; (2) Increase the resistance of the sliding operation and extend the sliding distance; (3) Switch the application interface to black and white display mode.
2. The method for preventing short video addiction according to claim 1, characterized in that, In step S1, the specific steps for detecting the continuous sliding operation state are as follows: S11: Count the number of times a user swipes within a preset time window; S12: If the number of swipes exceeds a preset threshold, it is determined that the user is addicted to watching videos.
3. The method for preventing short video addiction according to claim 1, characterized in that, The specific steps of intervention method (1) in S3 are as follows: When a user performs an up or down swipe gesture, the gesture is mapped to a return command with a preset probability. The return command is used to exit the current video playback interface or return to the parent interface of the short video application.
4. The method for preventing short video addiction according to claim 1, characterized in that, The specific steps of intervention method (2) in S3 include at least one of the following implementation methods: (2.1) Introduce virtual friction during the sliding process so that the sliding distance needs to be 1.5 to 3 times the original normal sliding distance to complete the video switching; (2.2) Add a delayed response time during the sliding process.
5. The method for preventing short video addiction according to claim 1, characterized in that: The specific steps of intervention method (3) in S3 are as follows: The video screen and all interface elements within the application are converted to grayscale display the moment the user swipes to switch videos; the color display is automatically restored after the user stops swiping for more than a preset time or actively exits the short video application.
6. The method for preventing short video addiction according to claim 1, characterized in that, It also includes steps for configuring the anti-addiction mode: users can manually turn the anti-addiction function on or off and set three levels of intervention intensity: mild, moderate, and severe.
7. A method for preventing short video addiction according to claim 6, characterized in that, The intervention intensity level setting includes a dynamic intervention intensity adjustment step: Based on the user's pre-set daily usage time limit, when the remaining usage time is less than 20%-10% of the total limit, the intervention intensity will be gradually increased, and a lightweight prompt message will be displayed in the corner of the interface during the intervention.
8. A method for preventing short video addiction according to claim 1, characterized in that, It also includes user behavior recording and analysis steps: recording user intervention-related data and generating periodic usage reports, which are then encrypted and sent to the server to optimize personalized intervention strategies.
9. A mobile terminal suitable for the method described in any one of claims 1-8, characterized in that, include: Detection unit: The detection unit is used to collect and analyze the user's continuous swiping operation data in the short video application in real time; Judgment unit: The judgment unit is electrically connected to the detection unit, and is used to receive the sliding operation data output by the detection unit, determine whether the user is in a state of video-watching addiction, and send a trigger signal to the intervention unit; Intervention unit: The intervention unit is electrically connected to the judgment unit and is used to perform intervention operations after receiving a trigger signal.
10. A mobile terminal according to claim 9, characterized in that, Also includes: Configuration Unit: The configuration unit is integrated into the system settings module of the mobile terminal or the short video application, and receives user instructions on the anti-addiction function switch, intensity level and usage time limit, and synchronizes the parameters to the intervention unit; Recording unit and sending unit: The recording unit is used to store user intervention-related data, and the sending unit is electrically connected to the communication module to encrypt and send the report to the server and supports resuming interrupted transmission.