WO2023240490A1 - 一种调节屏幕亮度的方法、装置及存储介质 - Google Patents

一种调节屏幕亮度的方法、装置及存储介质 Download PDF

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Publication number
WO2023240490A1
WO2023240490A1 PCT/CN2022/098965 CN2022098965W WO2023240490A1 WO 2023240490 A1 WO2023240490 A1 WO 2023240490A1 CN 2022098965 W CN2022098965 W CN 2022098965W WO 2023240490 A1 WO2023240490 A1 WO 2023240490A1
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WIPO (PCT)
Prior art keywords
user
screen brightness
user portrait
brightness adjustment
portrait
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PCT/CN2022/098965
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English (en)
French (fr)
Inventor
李芝珩
邓嘉俊
Original Assignee
北京小米移动软件有限公司
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Application filed by 北京小米移动软件有限公司 filed Critical 北京小米移动软件有限公司
Priority to CN202280004627.7A priority Critical patent/CN117597935A/zh
Priority to PCT/CN2022/098965 priority patent/WO2023240490A1/zh
Publication of WO2023240490A1 publication Critical patent/WO2023240490A1/zh

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09GARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G5/00Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators
    • G09G5/10Intensity circuits
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47End-user applications
    • H04N21/485End-user interface for client configuration

Definitions

  • the present disclosure relates to the field of terminal technology, and in particular, to a method, device and storage medium for adjusting screen brightness.
  • the present disclosure provides a method, device and storage medium for adjusting screen brightness.
  • a method for adjusting screen brightness including:
  • determining the second user portrait that matches the first user portrait includes: determining the similarity between the first user portrait and each group of user portraits in multiple groups of user portraits, obtaining Multiple similarities; use the user portrait corresponding to the largest similarity among the multiple similarities as the second user portrait matched with the first user portrait.
  • the method before determining the similarity between the first user portrait and each group of user portraits in the plurality of user portraits, the method further includes: determining the current usage environment of the terminal; determining that the terminal is consistent with the current usage environment. Multiple sets of user portraits.
  • the method further includes: monitoring screen brightness adjustment parameters corresponding to screen brightness adjustments performed by the user on the terminal within a predetermined time period; and updating the first user portrait based on the screen brightness adjustment parameters. Screen brightness adjustment strategy.
  • obtaining the first user portrait includes: displaying prompt information, the prompt information including prompting the user to input a user portrait information item; collecting portrait information input based on the user portrait information item, Get the first user portrait.
  • the screen brightness adjustment policy includes a screen brightness curve corresponding to the application program.
  • a device for adjusting screen brightness including:
  • the acquisition unit is used to obtain the first user portrait; the processing unit is used to determine the second user portrait that matches the first user portrait, and obtain the screen brightness adjustment strategy used by the second user portrait; the adjustment unit is used to Based on the screen brightness adjustment strategy used by the second user portrait, a screen brightness adjustment strategy for the first user portrait is determined.
  • the processing unit determines a second user portrait that matches the first user portrait in the following manner: determines the similarity between the first user portrait and each group of user portraits in multiple groups of user portraits. degree to obtain multiple similarities; the user portrait corresponding to the largest similarity among the multiple similarities is used as the second user portrait matched with the first user portrait.
  • the processing unit is further configured to: before determining the similarity between the first user portrait and each group of user portraits in the plurality of groups of user portraits, determine the current usage environment of the terminal; Multiple sets of user portraits describing the current usage environment.
  • the determining unit is further configured to: monitor screen brightness adjustment parameters corresponding to screen brightness adjustments performed by the user on the terminal within a predetermined time period; and update the first user based on the screen brightness adjustment parameters. Screen brightness adjustment strategy for portraits.
  • the acquisition unit obtains the first user portrait in the following manner: displays prompt information, the prompt information includes an item for prompting the user to input the user portrait information; and collects the information input based on the user portrait information item. Portrait information to obtain the first user portrait.
  • the screen brightness adjustment policy includes a screen brightness curve corresponding to the application program.
  • a device for adjusting screen brightness including:
  • Memory used to store instructions executable by the processor
  • the processor is configured to: execute the method described in the first aspect or any implementation manner of the first aspect.
  • a computer-readable storage medium stores
  • Instructions when the instructions in the storage medium are executed by the processor of the terminal, enable the terminal to perform the method described in the first aspect or any implementation manner of the first aspect.
  • the technical solutions provided by embodiments of the present disclosure may include the following beneficial effects: obtaining a first user portrait, determining a second user portrait that matches the first user portrait, and obtaining a screen brightness adjustment strategy used by the second user portrait. Further, based on the screen brightness adjustment strategy used by the second user portrait, the screen brightness adjustment strategy of the first user portrait is determined. Based on this, even if there are insufficient screen brightness adjustment strategies for terminal reference in the initial stage, the terminal can automatically adjust the screen brightness based on the existing screen brightness adjustment strategies, and at the same time, improve the user experience.
  • FIG. 1 is a flowchart of a method of adjusting screen brightness according to an exemplary embodiment.
  • Figure 2a is a flow chart illustrating a method of collecting target user portraits according to an exemplary embodiment.
  • Figure 2b is a flow chart illustrating a method of collecting target user portraits according to an exemplary embodiment.
  • FIG. 3 is a flowchart of a method of adjusting screen brightness according to an exemplary embodiment.
  • Figure 4 shows a schematic diagram of a terminal automatically adjusting screen brightness.
  • FIG. 5 is a block diagram of a device for adjusting screen brightness according to an exemplary embodiment.
  • Figure 6 is a block diagram of a device for coil temperature control according to an exemplary embodiment.
  • the method for adjusting screen brightness provided by embodiments of the present disclosure can be applied to scenarios where a terminal automatically adjusts screen brightness.
  • the method for adjusting screen brightness provided by the embodiments of the present disclosure can be applied to devices with display functions such as mobile phones, tablet computers, and televisions.
  • the terminal automatically adjusts the screen brightness adjustment strategy based on the historical screen brightness data obtained after the user manually adjusts the screen brightness in the early stage.
  • the more intelligent method of adjusting screen brightness is to take into account external factors such as the current ambient light intensity and display scene, so as to adjust the screen brightness in multiple directions.
  • users themselves need to use a large amount of historical data of adjusted screen brightness as a reference basis to design a reasonable screen brightness adjustment strategy.
  • no historical screen brightness data is stored in the terminal as a reference. This will cause users to have a bad experience in the early stages of using the terminal.
  • the present disclosure provides a method for adjusting screen brightness, obtaining a first user portrait, determining a second user portrait that matches the first user portrait, and obtaining the screen brightness adjustment strategy used by the second user portrait. Further, based on the screen brightness adjustment strategy used by the second user portrait, the screen brightness adjustment strategy of the first user portrait is determined. Based on this, even when the initial screen brightness adjustment strategies for terminal reference are insufficient, the terminal can automatically adjust the screen brightness based on the existing screen brightness adjustment strategies, while improving the user experience.
  • the user portrait may be a tagged user model abstracted from at least one piece of tag information such as user attributes, user preferences, living habits, user behavior, occupation, etc.
  • the user who adjusts the terminal screen brightness may be called the first user, for example, a user using a new terminal.
  • the user who has performed screen brightness adjustment (has screen brightness adjustment configuration) is called a second user.
  • the user portrait of the first user who adjusts the terminal screen brightness is called a first user portrait
  • the user portrait of the second user who has a screen brightness adjustment configuration is called a second user portrait.
  • Figure 1 is a flow chart of a method of adjusting screen brightness according to an exemplary embodiment. As shown in Figure 1, the method of adjusting screen brightness is used in a terminal and includes the following steps.
  • step S11 the first user portrait is obtained.
  • the user portrait of the end user can be obtained when the user (ie, the first user) performs a screen brightness setting operation.
  • the first user portrait may be collected when the terminal receives user input for brightness adjustment for the first time (that is, the terminal is started for the first time to adjust the screen brightness); for another example, the first user portrait may be collected when the terminal's preset configuration switch is triggered.
  • the first user portrait is collected, and the preset configuration switch may be a configuration item switch (virtual switch and/or physical switch) preset on the terminal for enabling the function corresponding to the method for adjusting screen brightness of the present disclosure.
  • the user portrait of the end user can be obtained when the end user (ie, the first user) uses the terminal for the first time.
  • the first user portrait may be collected when the terminal is started for the first time in the factory configuration state (including the first start of the terminal and the first start after restoring factory settings).
  • the terminal is restored to factory settings, it can be adapted to understand the terminal user's first use of the terminal.
  • the first user portrait may be a user portrait of a user using the terminal, or may be a user portrait of a user registering for the terminal.
  • the user using this terminal and the registered user of this terminal are generally the same user.
  • the step of obtaining the first user portrait may include: displaying prompt information. Collect the portrait information input based on the user portrait information item to obtain the first user portrait.
  • the prompt information includes items for prompting the user to input user portrait information.
  • the prompt information at least includes the user's name, user's gender, user's age, user's region, and user's occupation. In the embodiment of the present disclosure, the prompt information is not specifically limited.
  • the prompt information is displayed.
  • the startup setting interface is displayed on the screen, and a prompt message that requires the user to collect a portrait is displayed.
  • terminal manufacturers can set the personal information included in user portraits by themselves.
  • user profiling involves the user's personal privacy
  • the terminal collects personal information it is necessary to provide detailed instructions to the user and protect the user's personal privacy. If the user refuses to provide personal information, it is necessary to explain to the user that the terminal cannot enable the function corresponding to the disclosed screen brightness adjustment method.
  • the user portrait information collected by terminal A includes: Name: Zhang San, Age: 34, Gender: Male, Occupation: Chef, Region: Beijing...
  • the user portrait collected by terminal B The information includes, name: Li Si, age: 23, gender: male, occupation: student, region: Beijing...
  • the user portrait information collected by terminal C includes, name: Wang Wu, age: 56, gender: Female, occupation: teacher, region: Beijing....
  • the user inputs portrait information to obtain the user portrait corresponding to the user using the terminal, for example, the first user portrait of the first user is obtained.
  • prompt information is displayed, portrait information input by the user based on user portrait information items is collected, and a target user portrait is obtained.
  • the terminal collects the user portrait of the user, which assists the subsequent terminal in automatically adjusting the screen brightness.
  • step S12 a second user portrait matching the first user portrait is determined, and the screen brightness adjustment strategy used by the second user portrait is obtained.
  • the screen brightness adjustment strategy includes a screen brightness adjustment curve.
  • the screen brightness adjustment curve is used to represent the screen brightness parameters corresponding to the brightness that needs to be adjusted.
  • the screen brightness adjustment curve also called the screen brightness curve, is a curve in which the screen brightness parameters change with the set independent variables.
  • the screen brightness adjustment policy may be stored in the server and the terminal in the form of data packets.
  • the data package of the screen brightness adjustment strategy may include: terminal application scenarios, user usage time, current environment brightness, user manual brightness adjustment and other factors that can affect the screen brightness adjustment strategy, and correspond to the screen brightness parameters determined by the above factors. relation. For example, from 11 o'clock to 12 o'clock at night, the user browses videos on the terminal. At this time, the screen brightness adjustment policy is set to 30%. From 11 o'clock to 12 o'clock during the day, users read novels on the terminal. At this time, the screen brightness adjustment policy is set to 80%.
  • step S13 the screen brightness adjustment strategy of the first user portrait is determined based on the screen brightness adjustment strategy used by the second user portrait.
  • a first user portrait is obtained, a second user portrait matching the first user portrait is determined, and a screen brightness adjustment strategy used by the second user portrait is obtained. Further, based on the screen brightness adjustment strategy used by the second user portrait, the screen brightness adjustment strategy of the first user portrait is determined.
  • existing screen brightness adjustment strategies can be adapted to terminal users. Even when the initial screen brightness adjustment strategies for terminal reference are insufficient, the terminal can adjust screen brightness based on the existing screen brightness strategies. Automatic adjustment can shorten the running-in period between the terminal and the user and improve the user experience.
  • Figure 2a is a flow chart of determining a second user portrait that matches a first user portrait according to an exemplary embodiment. As shown in Figure 2a, determining a second user portrait that matches a first user portrait includes the following: step.
  • step S22 the similarity between the first user portrait and each group of user portraits in the plurality of groups of user portraits is determined, and a plurality of similarities is obtained.
  • step S23 the user portrait corresponding to the maximum similarity among the plurality of similarities is used as the second user portrait matched with the first user portrait.
  • the similarity between the first user portrait of the first user and the user portrait of the old user is calculated.
  • the measurement methods for calculating the similarity between the first user portrait of the first user and the user portrait of the old user include: Euclidean distance, cosine similarity, Pilton correlation coefficient, etc.
  • the similarity measurement method is not specifically limited.
  • each tag of the user screen can be numbered according to a preset numbering rule, and then the user portrait can be stored in the form of a numbered vector.
  • the user portrait obtained by the terminal may include personal information in five aspects: name, age, gender, occupation, and region.
  • the name information can be numbered based on the surname.
  • the number for the surname Zhang can be 1, the number for the surname Li can be 2, and the rest of the surnames can be numbered by analogy; for another example, the number for the surname Smith can be 11, and the number for the surname Miller can be 11.
  • the number can be 12, the number for Johnson can be 13, and so on for the remaining surnames.
  • age information the number for 0-10 years old can be 1, the number for 11-20 years old can be 2, and so on for the rest of the age range.
  • the male number can be 1, the female number can be 2, and the third gender number can be 3.
  • the scientist number can be 1, the engineer number can be 2, and so on for the other occupation numbers.
  • the Beijing number can be 1, the Shanghai number can be 2, and so on for other regional numbers.
  • the terminal stores the collected user portrait in the form of a numbered vector.
  • the user portrait information items of the user portrait of user Zhang San are as follows: Name: Zhang San, Age: 34, Gender: Male, Occupation: Chef, Region: Beijing, then the user portrait can be stored as a numbered vector in the terminal as [1 ,4,1,5,1].
  • the user portrait information items of the user portrait of the first user Li Si are as follows, name: Li Si, age: 23, gender: male, occupation: student, region: Beijing, then the user portrait in the terminal can be stored as a numbered vector as [2 ,3,1,8,1].
  • the user portrait information items of the user portrait of the first user Wang Wu are as follows, name: Wang Wu, age: 56, gender: female, occupation: teacher, region: Beijing, then the user portrait in the terminal can be stored as a numbered vector as [3 ,4,2,3,1].
  • the cosine similarity method is used to perform similarity calculation.
  • the similarity formula Calculate the similarity between the first user's number vector and the second user's number vector. If the value of similarity is 1, it means that the portrait information of the first user completely matches the portrait information of the second user.
  • the terminal will store the screen brightness adjustment strategy of the second user and use the screen brightness adjustment strategy as the initial screen. Brightness adjustment strategy. If the value of similarity is -1, it means that the portrait information of the new user does not match the portrait information of the second user at all.
  • the terminal will re-match the portrait information of other second users in the server and select the one with the highest similarity.
  • the second user's screen brightness adjustment strategy is used as the terminal's initial screen brightness adjustment strategy.
  • the similarity between the first user portrait and each group of user portraits in multiple groups of user portraits is determined, and a plurality of similarities is obtained.
  • the user portrait corresponding to the greatest similarity among the plurality of similarities is used as the second user portrait matched with the first user portrait.
  • Figure 2b is a flowchart illustrating a method of determining a second user portrait that matches a first user portrait according to an exemplary embodiment. As shown in Figure 2b, it includes the following steps.
  • Figure 2b contains steps S21, S22 and S23. Among them, S22 and S23 are similar to the implementation of S22 and S23 in Figure 2a, so this disclosure will not further explain S22 and S23.
  • step S21 multiple groups of user portraits are determined.
  • the multiple sets of user portraits are multiple different user portraits that adjust screen brightness based on different screen adjustment strategies.
  • the step of determining multiple sets of user portraits includes: determining the current usage environment of the terminal; and determining multiple sets of user portraits that conform to the current usage environment.
  • the current usage environment of the terminal may include current location information, such as the region where the current location is located and/or the time zone of the current location, etc.; the current usage environment of the terminal may include weather conditions at the current location.
  • the region where the user uses the terminal is determined, such as Beijing, Shanghai, Guangzhou, etc.
  • the screen brightness adjustment strategy is determined according to the region to meet multiple sets of user portraits in the region where the current user is located.
  • the current usage environment can also be the weather.
  • the brightness of the terminal screen will be higher on a sunny day, and the brightness of the terminal screen will be lower on a cloudy day.
  • the screen brightness adjustment strategy of the current first user is determined by comparing user portrait similarities between different users. The basis is: if the user portrait similarity between different users is the greatest, it means that the usage behavior of the first user is closest to the usage behavior of the second user with a high degree of similarity.
  • the screen brightness adjustment strategy set by the second user can be As a screen brightness adjustment strategy for the first user's early reference, that is, the first user's brightness usage habits can refer to the brightness usage habits of similar user groups in the early stage. Based on this, the present disclosure provides a method for adjusting screen brightness, which can solve the problem of insufficient screen brightness adjustment strategies for users to refer to in the early stage of use, and can also shorten the time it takes to form the optimal automatic brightness curve, while improving user usage. Terminal experience.
  • Figure 3 is a flow chart of a method of adjusting screen brightness according to an exemplary embodiment. As shown in Figure 3, the method of adjusting screen brightness is used in a terminal and includes the following steps.
  • step S31 the screen brightness adjustment parameters corresponding to the screen brightness adjustment performed by the user on the terminal within a predetermined time period are monitored.
  • step S32 the screen brightness adjustment policy of the first user portrait is updated based on the screen brightness adjustment parameter.
  • the screen brightness adjustment strategy is adjusted based on the screen brightness adjusted by the user. For example, a matched screen brightness adjustment strategy already exists in the terminal. Based on the new user's personal usage habits and usage scenarios, the automatically imported screen brightness adjustment strategy is fine-tuned and optimized using traditional techniques. For example, automatic brightness adjustment is performed based on the ambient light brightness, the user's manual brightness adjustment, the application used and the time of use. If the user has manually adjusted automatic brightness multiple times at a specific time, specific ambient light level, and specific application, then the application's recommended automatic screen brightness adjustment policy will be adjusted close to that time and environment. The screen brightness adjustment strategy for light brightness will be adjusted to the average value of the screen brightness adjustment strategy after manual adjustment by the user.
  • user A has the habit of using short video applications in darkness every night. If the user thinks that the screen brightness is too low on the first and second days and increases the brightness, then on the third night and in darkness, user A When the user uses the short video application again in this environment, the screen brightness will become the average of the screen brightness adjustment strategies after the previous two manual adjustments by the user, thereby automatically increasing the screen brightness.
  • the screen brightness adjustment parameters performed by the user on the terminal within a predetermined time period are monitored, and based on the screen brightness adjustment parameters, the screen brightness adjustment strategy of the first user portrait is updated.
  • the initial screen brightness adjustment strategy can also be updated based on subsequent user adjustments to the screen brightness parameters, making the strategy more suitable for users.
  • Figure 4 shows a schematic diagram of a terminal automatically adjusting screen brightness.
  • a first user uses a terminal.
  • the first user runs the terminal for the first time, the first user is prompted to fill in personal portrait information. If the first user chooses to refuse to collect personal portrait information, the first user is prompted to manually adjust the screen brightness in the early stage. If the first user completes filling in the personal portrait information (first user portrait information), the terminal analyzes the first user portrait information and stores the obtained first user portrait information in the form of a numbered vector, for example, the first User portrait information may include but is not limited to name, gender, age, etc.
  • the terminal uses similarity measurement methods, such as Euclidean distance, cosine similarity, etc., to sequentially calculate the similarity between the first user's number vector and the second user's number vector that has been stored in the server, and selects the highest similarity.
  • the screen brightness adjustment strategies corresponding to the two users are used as the initial screen brightness adjustment strategies of the first user terminal and are imported into the terminal for use. According to the usage habits of the first user, the initial screen brightness adjustment strategy is optimized, thereby obtaining a screen brightness adjustment strategy suitable for the first user.
  • the terminal obtains the user portrait, matches the first user with the second user with the highest similarity, and sends the second user's screen brightness adjustment strategy to the first user's terminal to improve the first user's early use experience.
  • the screen brightness adjustment strategy sent to the first user terminal is relatively consistent with the first user's expectations, it only takes a small amount of time to fine-tune and optimize according to the first user's usage habits in the later stage to obtain a solution that meets the first user's needs.
  • the screen brightness adjustment strategy reduces time costs.
  • embodiments of the present disclosure also provide a device for adjusting screen brightness.
  • the device for adjusting screen brightness provided by embodiments of the present disclosure includes hardware structures and/or software modules corresponding to each function. Combined with the units and algorithm steps of each example disclosed in the embodiments of the present disclosure, the embodiments of the present disclosure can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is performed by hardware or computer software driving the hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered to go beyond the scope of the technical solutions of the embodiments of the present disclosure.
  • FIG. 5 is a block diagram of a device for adjusting screen brightness according to an exemplary embodiment.
  • the device 100 includes an acquisition unit 101 , a processing unit 102 and an adjustment unit 103 .
  • the acquisition unit 101 is used to obtain the first user portrait; the processing unit 102 is used to determine the second user portrait that matches the first user portrait, and obtain the screen brightness adjustment strategy used by the second user portrait; the adjustment unit 103 is used to Based on the screen brightness adjustment strategy used by the second user portrait, the screen brightness adjustment strategy of the first user portrait is determined.
  • the processing unit 102 determines the second user portrait that matches the first user portrait in the following manner: determines the similarity between the first user portrait and each group of user portraits in multiple groups of user portraits, and obtains multiple Similarity; use the user portrait corresponding to the greatest similarity among multiple similarities as the second user portrait that matches the first user portrait.
  • the processing unit 102 is further configured to: determine the current usage environment of the terminal before determining the similarity between the first user portrait and each group of user portraits in the plurality of groups of user portraits; determine a screen brightness adjustment strategy. Multiple sets of user portraits that fit the current usage environment.
  • the processing unit 102 is also used to: monitor the screen brightness adjustment parameters corresponding to the screen brightness adjustment performed by the user on the terminal within a predetermined time period; and update the screen brightness adjustment of the first user portrait based on the screen brightness adjustment parameters. Strategy.
  • the acquisition unit 101 obtains the first user portrait in the following manner: displays prompt information, which includes prompting the user to input the user portrait information item; collects the portrait information input based on the user portrait information item, and obtains the first user portrait. A user portrait.
  • the screen brightness adjustment policy includes a screen brightness curve corresponding to the application program.
  • Figure 6 is a block diagram of a device for coil temperature control according to an exemplary embodiment.
  • the device 200 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, or the like.
  • device 200 may include one or more of the following components: processing component 202, memory 204, power component 206, multimedia component 208, audio component 210, input/output (I/O) interface 212, sensor component 214, and Communication component 216.
  • Processing component 202 generally controls the overall operations of device 200, such as operations associated with display, phone calls, data communications, camera operations, and recording operations.
  • the processing component 202 may include one or more processors 220 to execute instructions to complete all or part of the steps of the above method.
  • processing component 202 may include one or more modules that facilitate interaction between processing component 202 and other components.
  • processing component 202 may include a multimedia module to facilitate interaction between multimedia component 208 and processing component 202.
  • Memory 204 is configured to store various types of data to support operations at device 200 . Examples of such data include instructions for any application or method operating on device 200, contact data, phonebook data, messages, pictures, videos, etc.
  • Memory 204 may be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EEPROM), Programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.
  • SRAM static random access memory
  • EEPROM electrically erasable programmable read-only memory
  • EEPROM erasable programmable read-only memory
  • EPROM Programmable read-only memory
  • PROM programmable read-only memory
  • ROM read-only memory
  • magnetic memory flash memory, magnetic or optical disk.
  • Power component 206 provides power to various components of device 200 .
  • Power components 206 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to device 200 .
  • Multimedia component 208 includes a screen that provides an output interface between the device 200 and the user.
  • the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user.
  • the touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide action.
  • multimedia component 208 includes a front-facing camera and/or a rear-facing camera.
  • the front camera and/or the rear camera may receive external multimedia data.
  • Each front-facing camera and rear-facing camera can be a fixed optical lens system or have a focal length and optical zoom capabilities.
  • Audio component 210 is configured to output and/or input audio signals.
  • audio component 210 includes a microphone (MIC) configured to receive external audio signals when device 200 is in operating modes, such as call mode, recording mode, and voice recognition mode. The received audio signals may be further stored in memory 204 or sent via communications component 216 .
  • audio component 210 also includes a speaker for outputting audio signals.
  • the I/O interface 212 provides an interface between the processing component 202 and a peripheral interface module, which may be a keyboard, a click wheel, a button, etc. These buttons may include, but are not limited to: Home button, Volume buttons, Start button, and Lock button.
  • Sensor component 214 includes one or more sensors for providing various aspects of status assessment for device 200 .
  • the sensor component 214 can detect the open/closed state of the device 200, the relative positioning of components, such as the display and keypad of the device 200, and the sensor component 214 can also detect a change in position of the device 200 or a component of the device 200. , the presence or absence of user contact with the device 200 , device 200 orientation or acceleration/deceleration and temperature changes of the device 200 .
  • Sensor assembly 214 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact.
  • Sensor assembly 214 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications.
  • the sensor component 214 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
  • Communication component 216 is configured to facilitate wired or wireless communication between apparatus 200 and other devices.
  • Device 200 may access a wireless network based on a communication standard, such as WiFi, 4G or 5G, or a combination thereof.
  • the communication component 216 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel.
  • the communications component 216 also includes a near field communications (NFC) module to facilitate short-range communications.
  • NFC near field communications
  • the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.
  • RFID radio frequency identification
  • IrDA infrared data association
  • UWB ultra-wideband
  • Bluetooth Bluetooth
  • apparatus 200 may be configured by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable Gate array (FPGA), controller, microcontroller, microprocessor or other electronic components are implemented for executing the above method.
  • ASICs application specific integrated circuits
  • DSPs digital signal processors
  • DSPDs digital signal processing devices
  • PLDs programmable logic devices
  • FPGA field programmable Gate array
  • controller microcontroller, microprocessor or other electronic components are implemented for executing the above method.
  • a non-transitory computer-readable storage medium including instructions such as a memory 204 including instructions, which can be executed by the processor 220 of the device 200 to complete the above method is also provided.
  • the non-transitory computer-readable storage medium may be ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.
  • first, second, etc. are used to describe various information, but such information should not be limited to these terms. These terms are only used to distinguish information of the same type from each other and do not imply a specific order or importance. In fact, expressions such as “first” and “second” can be used interchangeably.
  • first information may also be called second information, and similarly, the second information may also be called first information.
  • connection includes a direct connection without other components between the two, and also includes an indirect connection with other elements between the two.

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Abstract

本公开是关于一种调节屏幕亮度的方法、调节屏幕亮度的装置及存储介质。调节屏幕亮度的方法包括:获取第一用户画像;确定与所述第一用户画像匹配的第二用户画像,并获取所述第二用户画像使用的屏幕亮度调节策略;基于所述第二用户画像使用的屏幕亮度调节策略,确定所述第一用户画像的屏幕亮度调节策略。通过本公开,即使在初期可供终端参考的屏幕亮度调节策略不足的情况下时,终端也可以基于己有的屏幕亮度调节策略对屏幕亮度进行自动调节,同时,提升用户的体验感。

Description

一种调节屏幕亮度的方法、装置及存储介质 技术领域
本公开涉及终端技术领域,尤其涉及一种调节屏幕亮度的方法、装置及存储介质。
背景技术
随着移动设备和网络技术的发展,越来越多的用户习惯在手机,平板等移动设备上浏览视频。由于移动设备的便携性,用户使用移动设备的场景也不固定。用户在不同的场景使用移动设备,就需要随着场景不断的调解显示亮度来使用户获得最好的显示体验。
发明内容
为克服相关技术中存在的问题,本公开提供一种调节屏幕亮度的方法、装置及存储介质。
根据本公开实施例的第一方面,提供一种调节屏幕亮度的方法,包括:
获取第一用户画像;确定与所述第一用户画像匹配的第二用户画像,并获取所述第二用户画像使用的屏幕亮度调节策略;基于所述第二用户画像使用的屏幕亮度调节策略,确定所述第一用户画像的屏幕亮度调节策略。
一种实施方式中,所述确定与所述第一用户画像匹配的第二用户画像,包括:确定所述第一用户画像与多组用户画像中每一组用户画像之间的相似度,得到多个相似度;将所述多个相似度中最大相似度对应的用户画像,作为所述第一用户画像匹配的第二用户画像。
一种实施方式中,所述确定所述第一用户画像与多组用户画像中每一组用户画像之间的相似度之前,还包括:确定终端的当前使用环境;确定符合所述当前使用环境的多组用户画像。
一种实施方式中,所述方法还包括:监测用户在预定时间段内对终端所进行屏幕亮度调节所对应的屏幕亮度调节参数;基于所述屏幕亮度调节参数,更新所述第一用户画像的屏幕亮度调节策略。
一种实施方式中,所述获取第一用户画像,包括:显示提示信息,所述提示信息中包括用于提示用户输入用户画像信息项;采集基于所述用户画像信息项所输入的画像信息,得到第一用户画像。
一种实施方式中,所述屏幕亮度调节策略包括应用程序所对应的屏幕亮度曲线。
根据本公开实施例的第二方面,提供一种调节屏幕亮度的装置,包括:
获取单元,用于获取第一用户画像;处理单元,用于确定与所述第一用户画像匹配的第二用户画像,并获取所述第二用户画像使用的屏幕亮度调节策略;调节单元,用于基于所述第二用户画像使用的屏幕亮度调节策略,确定所述第一用户画像的屏幕亮度调节策略。
一种实施方式中,所述处理单元采用如下方式确定与所述第一用户画像匹配的第二用户画像:确定所述第一用户画像与多组用户画像中每一组用户画像之间的相似度,得到多个相似度;将所述多个相似度中最大相似度对应的用户画像,作为所述第一用户画像匹配的第二用户画像。
一种实施方式中,所述处理单元还用于:在确定所述第一用户画像与多组用户画像中每一组用户画像之间的相似度之前,确定终端的当前使用环境;确定符合所述当前使用环境的多组用户画像。
一种实施方式中,所述确定单元还用于:监测用户在预定时间段内对终端所进行屏幕亮度调节所对应的屏幕亮度调节参数;基于所述屏幕亮度调节参数,更新所述第一用户画像的屏幕亮度调节策略。
一种实施方式中,所述获取单元采用如下方式获取第一用户画像:显示提示信息,所述提示信息中包括用于提示用户输入用户画像信息项;采集基于所述用户画像信息项所输入的画像信息,得到第一用户画像。
一种实施方式中,所述屏幕亮度调节策略包括应用程序所对应的屏幕亮度曲线。
根据本公开实施例第三方面,提供一种调节屏幕亮度的装置,包括:
处理器;
用于存储处理器可执行指令的存储器;
其中,所述处理器被配置为:执行第一方面或者第一方面任意一种实施方式中所述的方法。
根据本公开实施例第四方面,提供一种计算机可读存储介质,所述存储介质中存储有
指令,当所述存储介质中的指令由终端的处理器执行时,使得终端能够执行第一方面或者第一方面任意一种实施方式中所述的方法。
本公开的实施例提供的技术方案可以包括以下有益效果:获取第一用户画像,确定与第一用户画像匹配的第二用户画像,并获取第二用户画像使用的屏幕亮度调节策略。进一步的,基于第二用户画像使用的屏幕亮度调节策略,确定第一用户画像的屏幕亮度调节策略。基于此,即使在初期可供终端参考的屏幕亮度调节策略不足的情况下时,终端也可以 基于已有的屏幕亮度调节策略对屏幕亮度进行自动调节,同时,提升用户的体验感。
应当理解的是,以上的一般描述和后文的细节描述仅是示例性和解释性的,并不能限制本公开。
附图说明
此处的附图被并入说明书中并构成本说明书的一部分,示出了符合本公开的实施例,并与说明书一起用于解释本公开的原理。
图1是根据一示例性实施例示出的一种调节屏幕亮度的方法的流程图。
图2a是根据一示例性实施例示出的一种采集目标用户画像的流程图。
图2b是根据一示例性实施例示出的一种采集目标用户画像的流程图。
图3是根据一示例性实施例示出的一种调节屏幕亮度的方法的流程图。
图4示出了一种终端自动调节屏幕亮度的示意图。
图5是根据一示例性实施例示出的一种调节屏幕亮度的装置框图。
图6是根据一示例性实施例示出的一种用于盘管温度控制的装置的框图。
具体实施方式
这里将详细地对示例性实施例进行说明,其示例表示在附图中。下面的描述涉及附图时,除非另有表示,不同附图中的相同数字表示相同或相似的要素。以下示例性实施例中所描述的实施方式并不代表与本公开相一致的所有实施方式。
在附图中,自始至终相同或类似的标号表示相同或类似的元件或具有相同或类似功能的元件。所描述的实施例是本公开一部分实施例,而不是全部的实施例。下面通过参考附图描述的实施例是示例性的,旨在用于解释本公开,而不能理解为对本公开的限制。基于本公开中的实施例,本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例,都属于本公开保护的范围。下面结合附图对本公开的实施例进行详细说明。
本公开实施例提供的调节屏幕亮度的方法,可以应用于终端自动调节屏幕亮度的场景。其中,本公开实施例提供的调节屏幕亮度的方法可以应用于手机、平板电脑、电视等具有显示功能的设备。
随着终端和网络技术的发展,越来越多的用户都有在终端上观看视频、打游戏以及阅读小说的习惯。由于终端的便携性,用户使用终端的场景也不固定。用户在不同的场景使用终端时,就需要随着场景亮度的不同,而不断的调解屏幕亮度来使得用户获得最好的显示体验。
相关技术中都是在用户前期手动调解屏幕亮度后得到的屏幕亮度历史数据的基础上,实现终端自动调整屏幕亮度调节策略。其中,较为智能的调节屏幕亮度的方法则是将当前的环境光强和显示场景等外界因素考虑进去,从而多方位的调节屏幕亮度。相关技术中需要用户自身使用调整后的屏幕亮度的大量历史数据作为参考依据,才能设计出合理的屏幕亮度调节策略。但是要获取大量的前期用户手动调整后的屏幕亮度历史数据需要花费大量的时间,导致形成屏幕亮度调节策略的时间严重滞后。而且用户在最初运行终端设备的时候,终端中没有存储任何屏幕亮度历史数据作为参考。这会导致用户在使用终端初期,产生不良的体验。
有鉴于此,本公开提供了一种调节屏幕亮度的方法,获取第一用户画像,确定与第一用户画像匹配的第二用户画像,并获取第二用户画像使用的屏幕亮度调节策略。进一步的,基于第二用户画像使用的屏幕亮度调节策略,确定第一用户画像的屏幕亮度调节策略。基于此,即使在初期可供终端参考的屏幕亮度调节策略不足的情况下时,终端也可以基于已有的屏幕亮度调节策略对屏幕亮度进行自动调节,同时,提升用户的体验感。
在下述公开实施例中,用户画像可以为包括用户属性、用户偏好、生活习惯、用户行为、职业等至少一项标签信息而抽象出来的标签化用户模型。
本公开一些可能的实施例中,可以将进行终端屏幕亮度调节的用户称为第一用户,例如,使用新终端的用户。将已进行过屏幕亮度调节(已有屏幕亮度调节配置)的用户称为第二用户。将进行终端屏幕亮度调节的第一用户的用户画像称为第一用户画像,将已有屏幕亮度调节配置的第二用户的用户画像称为第二用户画像。
图1是根据一示例性实施例示出的一种调节屏幕亮度的方法的流程图,如图1所示,调节屏幕亮度的方法用于终端中,包括以下步骤。
在步骤S11中,获取第一用户画像。
本公开一些可能的实施例中,可以在用户(即第一用户)进行屏幕亮度设置操作时,获取终端用户的用户画像(即第一用户画像)。比如,可以是在终端首次接收到进行亮度调节的用户输入(即终端被首次启动进行屏幕亮度调节)的情况下采集第一用户画像;又比如,可以是在终端预设配置开关被触发的情况下采集第一用户画像,该预设配置开关可以是终端上预先设置的用于启用本公开调节屏幕亮度方法对应功能的配置项开关(虚拟开关和/或物理开关)。在本公开一些可能的实施例中,可以在终端用户(即第一用户)首次使用本终端时,获取终端用户的用户画像(即第一用户画像)。比如,可以是在终端在出厂配置状态下首次启动(包括终端首次启动以及恢复出厂设置后的首次启动)的情况下采集第一用户画像。这里,在终端恢复出厂设置后可以适应理解终端用户首次使用本终端。
示例地,第一用户画像可以为本终端使用用户的用户画像,或者可以为本终端注册用户的用户画像。在通常场景下本终端使用用户和本终端注册用户一般为同一用户。
在本公开一些可能的实施例中,获取第一用户画像的步骤可以包括:显示提示信息。采集基于用户画像信息项所输入的画像信息,得到第一用户画像。其中,提示信息中包括用于提示用户输入用户画像信息项。
可以理解的是,提示信息至少包括用户姓名、用户性别、用户年龄、用户所在地区、用户职业,在本公开实施例中不对提示信息作具体限定。
在本公开一些可能的实施例中,在终端被首次启动进行屏幕亮度调节时,或者,终端在出厂配置状态下首次启动时,或者,终端预设配置开关被触发时,显示提示信息。示例地,在用户初次运行终端时,屏幕上显示开机设置界面,并显示需要用户进行画像采集的提示信息。其中,终端厂商可以自行设定用户画像包括的个人信息。在一些可能的实施例中,考虑到用户画像涉及到用户的个人隐私,在终端进行采集个人信息之前,需要向用户进行详细的说明,并保护用户的个人隐私。如果用户拒绝提供个人信息,则需要向用户说明终端无法开启本公开调节屏幕亮度方法对应功能。
在本公开实施例中,终端A采集到的用户画像信息包括,姓名:张三、年龄:34、性别:男、职业:厨师、地区:北京......终端B采集到的用户画像信息包括,姓名:李四、年龄:23、性别:男、职业:学生、地区:北京......终端C采集到的用户画像信息包括,姓名:王五、年龄:56、性别:女、职业:教师、地区:北京.....。本公开实施例通过用户输入画像信息的方式,得到对应使用终端的用户的用户画像,例如,获取第一用户的第一用户画像。
在本公开中,显示提示信息,采集用户基于用户画像信息项所输入的画像信息,得到目标用户画像。通过本公开,终端采集得到用户的用户画像,为后续终端自动调节屏幕亮度起到辅助作用。
在步骤S12中,确定与第一用户画像匹配的第二用户画像,并获取第二用户画像使用的屏幕亮度调节策略。
在本公开一些可能的实施例中,屏幕亮度调节策略包括屏幕亮度调节曲线。其中,屏幕亮度调节曲线用于表征需要调节的亮度对应的屏幕亮度参数。屏幕亮度调节曲线也称为屏幕亮度曲线,是一种屏幕亮度参数随设置的自变量变化的曲线。
在本公开实施例中,屏幕亮度调节策略可以以数据包的形式存储在服务器和终端中。屏幕亮度调节策略的数据包中可以包括:终端应用场景、用户使用时间、当前所处环境亮度、用户手动调节亮度等可以影响屏幕亮度调节策略的因素,与上述因素确定的屏幕亮度 参数之间对应关系。例如,夜间11点至12点,用户在终端上浏览视频,此时,屏幕亮度调节策略设定为30%。白天11点至12点,用户在终端上阅读小说,此时,屏幕亮度调节策略设定为80%。
在步骤S13中,基于第二用户画像使用的屏幕亮度调节策略,确定第一用户画像的屏幕亮度调节策略。
在本公开中,获取第一用户画像,确定与第一用户画像匹配的第二用户画像,并获取第二用户画像使用的屏幕亮度调节策略。进一步的,基于第二用户画像使用的屏幕亮度调节策略,确定第一用户画像的屏幕亮度调节策略。通过本公开,可以为终端用户适配已有的屏幕亮度调节策略,即使在初期可供终端参考的屏幕亮度调节策略不足的情况下时,终端也可以基于已有的屏幕亮度策略对屏幕亮度进行自动调节,能够缩短终端与用户之间的磨合期,提升用户的体验感。
在下述实施例公开中,将详细描述如何通过第一用户画像确定第二用户画像使用的屏幕亮度调节策略。
图2a是根据一示例性实施例示出的一种确定与第一用户画像匹配的第二用户画像的流程图,如图2a所示,确定与第一用户画像匹配的第二用户画像,包括以下步骤。
在步骤S22中,确定第一用户画像与多组用户画像中每一组用户画像之间的相似度,得到多个相似度。
在步骤S23中,将多个相似度中最大相似度对应的用户画像,作为第一用户画像匹配的第二用户画像。
在本公开实施例中,在获取到第一用户的第一用户画像之后,计算第一用户的第一用户画像与老用户的用户画像之间的相似度。其中,计算第一用户的第一用户画像与老用户的用户画像之间的相似度的度量方法包括:欧式距离,余弦相似度,皮尔顿相关系数等等。本公开实施例中,不对相似度度量方法进行具体限定。本公开一些可能的实施例中,为便于相似度运算,可以对用户画面的各个标签按照预设编号规则分别进行编号,然后通过编号向量的形式进行存储用户画像。
在本公开一些可能的实施例中,终端获取得到的用户画像可以包括姓名、年龄、性别、职业和地区五方面的个人信息。示例地,针对姓名信息,可以基于姓氏进行编号,如张姓编号可以为1,李姓编号可以为2,其余姓氏编号以此类推;又如,姓氏为Smith的编号可以为11,姓氏为Miller的编号可以为12,姓氏为Johnson的编号可以为13,其余姓氏编号以此类推。针对年龄信息,0-10岁编号可以为1,11-20岁编号可以为2,其余年龄范围以此类推。针对性别信息,男性的编号可以为1,女性的编号可以为2,第三性别的编号 可以为3。针对职业信息,科学家编号可以为1,工程师编号可以为2,其余职业编号以此类推。针对地区信息,北京编号可以为1,上海编号可以为2,其余地区编号以此类推。
在本公开实施例中,终端将采集得到的用户画像通过编号向量的形式进行存储。例如,用户张三的用户画像的用户画像信息项如下,姓名:张三、年龄:34、性别:男、职业:厨师、地区:北京,则在终端中用户画像可以以编号向量存储为[1,4,1,5,1]。第一用户李四的用户画像的用户画像信息项如下,姓名:李四、年龄:23、性别:男、职业:学生、地区:北京,则在终端中用户画像可以以编号向量存储为[2,3,1,8,1]。第一用户王五的用户画像的用户画像信息项如下,姓名:王五、年龄:56、性别:女、职业:教师、地区:北京,则在终端中用户画像可以以编号向量存储为[3,4,2,3,1]。
在本公开实施例中,基于终端获取得到的第一用户画像,以及服务器中已经存在的第二用户画像,采用余弦相似度方法,进行相似度计算。根据相似度(similarity)公式
Figure PCTCN2022098965-appb-000001
计算第一用户的编号向量与第二用户的编号向量之间的相似度。如果similarity的值为1,则说明第一用户的画像信息与第二用户的画像信息完全匹配,终端会将该第二用户的屏幕亮度调节策略进行存储,并使用该屏幕亮度调节策略作为初始屏幕亮度调节策略。如果similarity的值为-1,则说明新用户的画像信息与第二用户的画像信息完全不匹配,终端会和其他在服务器中的第二用户画像信息重新进行匹配,并选择相似度最高的第二用户的屏幕亮度调节策略作为该终端初始屏幕亮度调节策略。
可以理解的是,上述公开实施例中提及到的选择哪种相似度度量方法,用户画像包括哪些个人信息,每一项个人信息的编号如何设置,以及是否需要配置不同的权重,都是由终端厂商自行定义,本公开不做具体限定。
在本公开中,确定第一用户画像与多组用户画像中每一组用户画像之间的相似度,得到多个相似度。将多个相似度中最大相似度对应的用户画像,作为第一用户画像匹配的第二用户画像。通过本公开,在用户刚拿到一台新终端时,避免了长时间搜集用户在不同环境下使用终端时的屏幕亮度,减少了时间成本,同时为新用户前期提供了良好的使用体验。
图2b是根据一示例性实施例示出的一种确定与第一用户画像匹配的第二用户画像的流程图,如图2b所示,包括以下步骤。
图2b包含步骤S21、S22和S23。其中,S22和S23与图2a中S22和S23的实施方式类似,因此本公开不再对S22和S23做进一步解释。
在步骤S21中,确定多组用户画像。
其中,多组用户画像为基于不同屏幕调节策略进行屏幕亮度调节的多个不同用户画像。
在本公开中,确定多组用户画像的步骤包括:确定终端的当前使用环境;确定符合当前使用环境的多组用户画像。终端的当前使用环境可以包括当前位置信息,如当前位置所在地区和/或当前位置所在时区等;终端的当前使用环境可以包括当前位置的天气情况。
在本公开实施例中,例如,确定用户使用终端的所处地区,比如:北京、上海、广州等等,根据地区确定屏幕亮度调节策略符合当前用户所处地区的多组用户画像。其中,当前使用环境还可以是天气,例如,晴天的时候终端屏幕亮度就会比较高,阴天的时候终端屏幕亮度就会比较低。
在本公开中,通过对比不同用户之间的用户画像相似度,确定当前第一用户的屏幕亮度调节策略。其中的依据为:若不同用户之间的用户画像相似度最大,则说明第一用户的使用行为与相似度大的第二用户的使用行为最接近,可以将第二用户设置的屏幕亮度调节策略作为第一用户前期参考的屏幕亮度调节策略,即,第一用户的亮度使用习惯可以在前期先参考相似的用户群体的亮度使用习惯。基于此,本公开提供的一种调节屏幕亮度的方法,可以解决用户使用初期可供参考的屏幕亮度调节策略不足的问题,也能缩短形成最佳自动亮度曲线所花费的时间,同时提升用户使用终端时的体验感。
图3是根据一示例性实施例示出的一种调节屏幕亮度的方法的流程图,如图3所示,调节屏幕亮度的方法用于终端中,包括以下步骤。
在步骤S31中,监测用户在预定时间段内对终端所进行屏幕亮度调节所对应的屏幕亮度调节参数。
在步骤S32中,基于屏幕亮度调节参数,更新第一用户画像的屏幕亮度调节策略。
在本公开实施例中,在预定时间段内,基于用户调节后的屏幕亮度,调整屏幕亮度调节策略。例如,在终端中已经存在匹配后的屏幕亮度调节策略,基于新用户个人的使用习惯及使用场景,对自动导入的屏幕亮度调节策略,采用传统技术进行微调及优化。例如,结合环境光亮度,用户手调亮度,使用的应用程序和使用时间来进行自动亮度调节。如果用户在某个特定的时间,特定的环境光亮度和特定的应用程序上多次手动调整过自动亮度,那么这个应用程序的推荐自动屏幕亮度调节策略会做出调整,在接近这个时间和环境光亮度的屏幕亮度调节策略会调整为用户手动调节后屏幕亮度调节策略的平均值。例如,用户A有每天晚上在黑暗的情况下使用短视频应用程序的习惯,若第一天和第二天用户都认为屏幕亮度太低而调高了亮度,那么在第三天晚上且黑暗的环境下用户再使用短视频应用程序时,屏幕亮度将变为前两次用户手调后的屏幕亮度调节策略的平均值,实现自动提高屏幕亮度。
在本公开中,监测用户在预定时间段内对终端所进行的屏幕亮度调节参数,基于屏幕 亮度调节参数,更新第一用户画像的屏幕亮度调节策略。通过本公开,在终端已经存在一个初始屏幕亮度调节策略的情况下,还可以基于后期用户对屏幕亮度参数的调整,更新初始屏幕亮度调节策略,使该策略更加的适合用户使用。
图4示出了一种终端自动调节屏幕亮度的示意图。如图4所示,第一用户使用终端。在第一用户初次运行终端时,提示第一用户填写个人画像信息。若第一用户选择拒绝采集个人画像信息,则提示第一用户前期需要手动对屏幕亮度进行调节。若第一用户填写完成个人画像信息(第一用户画像信息),则终端对第一用户画像信息进行解析,并将获取得到的第一用户画像信息按编号向量的形式进行存储,例如,第一用户画像信息可以包括但不限于姓名、性别、年龄等。终端采用相似度度量方法,例如,欧式距离,余弦相似度等,依次计算第一用户的编号向量与服务器中已经存储的第二用户的编号向量之间的相似度,并选取相似度最高的第二用户对应的屏幕亮度调节策略作为第一用户终端的初始屏幕亮度调节策略,导入至终端中进行使用。根据第一用户的使用习惯,对初始屏幕亮度调节策略进行优化,从而得到适合第一用户个人的屏幕亮度调节策略。基于此,前期终端通过获取用户画像,为第一用户匹配相似度最高的第二用户,将第二用户的屏幕亮度调节策略发送至第一用户的终端中,提升第一用户在前期的使用体验。由于发送至第一用户终端的屏幕亮度调节策略与第一用户的预期较为贴合,所以后期只需花费少量的时间,根据第一用户的使用习惯进行微调优化,就可以得到符合第一用户需求的屏幕亮度调节策略,减少了时间成本。
基于相同的构思,本公开实施例还提供一种调节屏幕亮度的装置。
可以理解的是,本公开实施例提供的调节屏幕亮度的装置为了实现上述功能,其包含了执行各个功能相应的硬件结构和/或软件模块。结合本公开实施例中所公开的各示例的单元及算法步骤,本公开实施例能够以硬件或硬件和计算机软件的结合形式来实现。某个功能究竟以硬件还是计算机软件驱动硬件的方式来执行,取决于技术方案的特定应用和设计约束条件。本领域技术人员可以对每个特定的应用来使用不同的方法来实现所描述的功能,但是这种实现不应认为超出本公开实施例的技术方案的范围。
图5是根据一示例性实施例示出的一种调节屏幕亮度的装置框图。参照图5,该装置100包括获取单元101、处理单元102和调节单元103。
获取单元101,用于获取第一用户画像;处理单元102,用于确定与第一用户画像匹配的第二用户画像,并获取第二用户画像使用的屏幕亮度调节策略;调节单元103,用于基于第二用户画像使用的屏幕亮度调节策略,确定第一用户画像的屏幕亮度调节策略。
一种实施方式中,处理单元102采用如下方式确定与第一用户画像匹配的第二用户画 像:确定第一用户画像与多组用户画像中每一组用户画像之间的相似度,得到多个相似度;将多个相似度中最大相似度对应的用户画像,作为第一用户画像匹配的第二用户画像。
一种实施方式中,处理单元102还用于:确定所述第一用户画像与多组用户画像中每一组用户画像之间的相似度之前,确定终端的当前使用环境;确定屏幕亮度调节策略符合当前使用环境的多组用户画像。
一种实施方式中,处理单元102还应用于:监测用户在预定时间段内对终端所进行屏幕亮度调节所对应的屏幕亮度调节参数;基于屏幕亮度调节参数,更新第一用户画像的屏幕亮度调节策略。
一种实施方式中,获取单元101采用如下方式获取第一用户画像:显示提示信息,提示信息中包括用于提示用户输入用户画像信息项;采集基于用户画像信息项所输入的画像信息,得到第一用户画像。
一种实施方式中,屏幕亮度调节策略包括应用程序所对应的屏幕亮度曲线。
关于上述实施例中的装置,其中各个模块执行操作的具体方式已经在有关该方法的实施例中进行了详细描述,此处将不做详细阐述说明。
图6是根据一示例性实施例示出的一种用于盘管温度控制的装置的框图。例如,装置200可以是移动电话,计算机,数字广播终端,消息收发设备,游戏控制台,平板设备,医疗设备,健身设备,个人数字助理等。
参照图6,装置200可以包括以下一个或多个组件:处理组件202,存储器204,电力组件206,多媒体组件208,音频组件210,输入/输出(I/O)接口212,传感器组件214,以及通信组件216。
处理组件202通常控制装置200的整体操作,诸如与显示,电话呼叫,数据通信,相机操作和记录操作相关联的操作。处理组件202可以包括一个或多个处理器220来执行指令,以完成上述的方法的全部或部分步骤。此外,处理组件202可以包括一个或多个模块,便于处理组件202和其他组件之间的交互。例如,处理组件202可以包括多媒体模块,以方便多媒体组件208和处理组件202之间的交互。
存储器204被配置为存储各种类型的数据以支持在装置200的操作。这些数据的示例包括用于在装置200上操作的任何应用程序或方法的指令,联系人数据,电话簿数据,消息,图片,视频等。存储器204可以由任何类型的易失性或非易失性存储设备或者它们的组合实现,如静态随机存取存储器(SRAM),电可擦除可编程只读存储器(EEPROM),可擦除可编程只读存储器(EPROM),可编程只读存储器(PROM),只读存储器(ROM),磁存储器,快闪存储器,磁盘或光盘。
电力组件206为装置200的各种组件提供电力。电力组件206可以包括电源管理系统,一个或多个电源,及其他与为装置200生成、管理和分配电力相关联的组件。
多媒体组件208包括在所述装置200和用户之间的提供一个输出接口的屏幕。在一些实施例中,屏幕可以包括液晶显示器(LCD)和触摸面板(TP)。如果屏幕包括触摸面板,屏幕可以被实现为触摸屏,以接收来自用户的输入信号。触摸面板包括一个或多个触摸传感器以感测触摸、滑动和触摸面板上的手势。所述触摸传感器可以不仅感测触摸或滑动动作的边界,而且还检测与所述触摸或滑动操作相关的持续时间和压力。在一些实施例中,多媒体组件208包括一个前置摄像头和/或后置摄像头。当装置200处于操作模式,如拍摄模式或视频模式时,前置摄像头和/或后置摄像头可以接收外部的多媒体数据。每个前置摄像头和后置摄像头可以是一个固定的光学透镜系统或具有焦距和光学变焦能力。
音频组件210被配置为输出和/或输入音频信号。例如,音频组件210包括一个麦克风(MIC),当装置200处于操作模式,如呼叫模式、记录模式和语音识别模式时,麦克风被配置为接收外部音频信号。所接收的音频信号可以被进一步存储在存储器204或经由通信组件216发送。在一些实施例中,音频组件210还包括一个扬声器,用于输出音频信号。
I/O接口212为处理组件202和外围接口模块之间提供接口,上述外围接口模块可以是键盘,点击轮,按钮等。这些按钮可包括但不限于:主页按钮、音量按钮、启动按钮和锁定按钮。
传感器组件214包括一个或多个传感器,用于为装置200提供各个方面的状态评估。例如,传感器组件214可以检测到装置200的打开/关闭状态,组件的相对定位,例如所述组件为装置200的显示器和小键盘,传感器组件214还可以检测装置200或装置200一个组件的位置改变,用户与装置200接触的存在或不存在,装置200方位或加速/减速和装置200的温度变化。传感器组件214可以包括接近传感器,被配置用来在没有任何的物理接触时检测附近物体的存在。传感器组件214还可以包括光传感器,如CMOS或CCD图像传感器,用于在成像应用中使用。在一些实施例中,该传感器组件214还可以包括加速度传感器,陀螺仪传感器,磁传感器,压力传感器或温度传感器。
通信组件216被配置为便于装置200和其他设备之间有线或无线方式的通信。装置200可以接入基于通信标准的无线网络,如WiFi,4G或5G,或它们的组合。在一个示例性实施例中,通信组件216经由广播信道接收来自外部广播管理系统的广播信号或广播相关信息。在一个示例性实施例中,所述通信组件216还包括近场通信(NFC)模块,以促进短程通信。例如,在NFC模块可基于射频识别(RFID)技术,红外数据协会(IrDA)技术,超宽带(UWB)技术,蓝牙(BT)技术和其他技术来实现。
在示例性实施例中,装置200可以被一个或多个应用专用集成电路(ASIC)、数字信号处理器(DSP)、数字信号处理设备(DSPD)、可编程逻辑器件(PLD)、现场可编程门阵列(FPGA)、控制器、微控制器、微处理器或其他电子元件实现,用于执行上述方法。
在示例性实施例中,还提供了一种包括指令的非临时性计算机可读存储介质,例如包括指令的存储器204,上述指令可由装置200的处理器220执行以完成上述方法。例如,所述非临时性计算机可读存储介质可以是ROM、随机存取存储器(RAM)、CD-ROM、磁带、软盘和光数据存储设备等。
可以理解的是,本公开中“多个”是指两个或两个以上,其它量词与之类似。“和/或”,描述关联对象的关联关系,表示可以存在三种关系,例如,A和/或B,可以表示:单独存在A,同时存在A和B,单独存在B这三种情况。字符“/”一般表示前后关联对象是一种“或”的关系。单数形式的“一种”、“所述”和“该”也旨在包括多数形式,除非上下文清楚地表示其他含义。
进一步可以理解的是,术语“第一”、“第二”等用于描述各种信息,但这些信息不应限于这些术语。这些术语仅用来将同一类型的信息彼此区分开,并不表示特定的顺序或者重要程度。实际上,“第一”、“第二”等表述完全可以互换使用。例如,在不脱离本公开范围的情况下,第一信息也可以被称为第二信息,类似地,第二信息也可以被称为第一信息。
进一步可以理解的是,除非有特殊说明,“连接”包括两者之间不存在其他构件的直接连接,也包括两者之间存在其他元件的间接连接。
进一步可以理解的是,本公开实施例中尽管在附图中以特定的顺序描述操作,但是不应将其理解为要求按照所示的特定顺序或是串行顺序来执行这些操作,或是要求执行全部所示的操作以得到期望的结果。在特定环境中,多任务和并行处理可能是有利的。
本领域技术人员在考虑说明书及实践这里公开的发明后,将容易想到本公开的其它实施方案。本申请旨在涵盖本公开的任何变型、用途或者适应性变化,这些变型、用途或者适应性变化遵循本公开的一般性原理并包括本公开未公开的本技术领域中的公知常识或惯用技术手段。说明书和实施例仅被视为示例性的,本公开的真正范围和精神由下面的权利范围指出。
应当理解的是,本公开并不局限于上面已经描述并在附图中示出的精确结构,并且可以在不脱离其范围进行各种修改和改变。本公开的范围仅由所附的权利范围来限制。

Claims (14)

  1. 一种调节屏幕亮度的方法,其特征在于,包括:
    获取第一用户画像;
    确定与所述第一用户画像匹配的第二用户画像,并获取所述第二用户画像使用的屏幕亮度调节策略;
    基于所述第二用户画像使用的屏幕亮度调节策略,确定所述第一用户画像的屏幕亮度调节策略。
  2. 根据权利要求1所述的方法,其特征在于,所述确定与所述第一用户画像匹配的第二用户画像,包括:
    确定所述第一用户画像与多组用户画像中每一组用户画像之间的相似度,得到多个相似度;
    将所述多个相似度中最大相似度对应的用户画像,作为所述第一用户画像匹配的第二用户画像。
  3. 根据权利要求2所述的方法,其特征在于,所述确定所述第一用户画像与多组用户画像中每一组用户画像之间的相似度之前,还包括:
    确定终端的当前使用环境;
    确定符合所述当前使用环境的多组用户画像。
  4. 根据权利要求1所述的方法,其特征在于,所述方法还包括:
    监测用户在预定时间段内对终端所进行屏幕亮度调节所对应的屏幕亮度调节参数;
    基于所述屏幕亮度调节参数,更新所述第一用户画像的屏幕亮度调节策略。
  5. 根据权利要求1所述的方法,其特征在于,所述获取第一用户画像,包括:
    显示提示信息,所述提示信息中包括用于提示用户输入用户画像信息项;
    采集基于所述用户画像信息项所输入的画像信息,得到第一用户画像。
  6. 根据权利要求1所述的方法,其特征在于,所述屏幕亮度调节策略包括应用程序所对应的屏幕亮度曲线。
  7. 一种调节屏幕亮度的装置,其特征在于,包括:
    获取单元,用于获取第一用户画像;
    处理单元,用于确定与所述第一用户画像匹配的第二用户画像,并获取所述第二用户画像使用的屏幕亮度调节策略;
    调节单元,用于基于所述第二用户画像使用的屏幕亮度调节策略,确定所述第一用户 画像的屏幕亮度调节策略。
  8. 根据权利要求7所述的装置,其特征在于,所述处理单元采用如下方式确定与所述第一用户画像匹配的第二用户画像:
    确定所述第一用户画像与多组用户画像中每一组用户画像之间的相似度,得到多个相似度;
    将所述多个相似度中最大相似度对应的用户画像,作为所述第一用户画像匹配的第二用户画像。
  9. 根据权利要求8所述的装置,其特征在于,所述处理单元还用于:
    在确定所述第一用户画像与多组用户画像中每一组用户画像之间的相似度之前,
    确定终端的当前使用环境;
    确定符合所述当前使用环境的多组用户画像。
  10. 根据权利要求7所述的装置,其特征在于,所述确定单元还用于:
    监测用户在预定时间段内对终端所进行屏幕亮度调节所对应的屏幕亮度调节参数;
    基于所述屏幕亮度调节参数,更新所述第一用户画像的屏幕亮度调节策略。
  11. 根据权利要求7所述的装置,其特征在于,所述获取单元采用如下方式获取第一用户画像:
    显示提示信息,所述提示信息中包括用于提示用户输入用户画像信息项;
    采集基于所述用户画像信息项所输入的画像信息,得到第一用户画像。
  12. 根据权利要求7所述的装置,其特征在于,所述屏幕亮度调节策略包括应用程序所对应的屏幕亮度曲线。
  13. 一种调节屏幕亮度的装置,其特征在于,包括:
    处理器;
    用于存储处理器可执行指令的存储器;
    其中,所述处理器被配置为执行权利要求1至6中任意一项所述的方法。
  14. 一种存储介质,其特征在于,所述存储介质中存储有指令,当所述存储介质中的指令由处理器执行时,使得处理器能够执行权利要求1至6中任意一项所述的方法。
PCT/CN2022/098965 2022-06-15 2022-06-15 一种调节屏幕亮度的方法、装置及存储介质 WO2023240490A1 (zh)

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