Application program running monitoring method and device based on artificial intelligence

Abstract

The invention provides an application program operation monitoring method and device based on artificial intelligence. According to the method and the device, after it is monitored that a user executes picture full-screen viewing Activity in a first application program; If the user does not realize full-screen exit of the picture after executing the full-screen exit operation of the picture, automatically destroying the full-screen viewing Activity of the picture to realize full-screen picture exit, thereby avoiding poor operation experience brought to the user by a series of operations such as manually closing an application program and the like by the user. Besides, whether the patch cannot quit the full screen of the picture or not is recognized by automatically detecting and updating the patch, then the problem that the full screen of the picture cannot quit is solved by selecting a system patch or the method provided by the invention, and the high stability of the patch of the system and the flexibility of the method provided by the invention are both considered. Finally, unnecessary full-screen picture viewing operation executed by the user is reduced or avoided through selection of the prompt information by the user, so that inconvenience brought to the user due to abnormal exit of the application program is reduced.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence and mobile terminal application program management, and in particular to an artificial intelligence-based application program running monitoring method and device. Background technique [0002] Android is a free and open source operating system based on the Linux kernel (without GNU components). It is mainly used in mobile devices, such as smartphones and tablets, and is led and developed by Google and the Open Handset Alliance. The Android operating system was originally developed by Andy Rubin and mainly supports mobile phones. Due to the open source feature of the Android system, it is favored by domestic mobile phone manufacturers, and they have adopted the Android system to build their own software ecology. [0003] At the beginning of 2019, the P30 series mobile phones produced by a large domestic mobile phone manufacturer were highly sought after by consumers due...

AI Technical Summary

Problems solved by technology

However, some mobile phone users have found that the optimized operating system of this series of mobile phones still has defects in human-machine interface interaction during use. After clicking to open the big picture (that is, to view the picture in full screen), it is impossible to exit the full screen interface of the picture through various gesture commands provided by the manufacturer to exit the full screen view of the picture. Only by force quitting (closing) the foreground application APP; Return your phone to normal use

As a result, the user needs to close the APP, reopen the APP, retrieve the browsing history, or reopen the browsing interface to return to the browsing state before viewing the picture in full screen, thus causing a problem of poor user experience.

[0004] In the first half of 2019, the methods given by manufacturers to allow users to change the sliding gesture operation to exit the full screen of the picture, upgrade the APP, and upgrade the system patch have not fundamentally solved the above problems. After 2020, although the above-mentioned various APPs and manufacturers The system patches have been upgraded many times, and the problem still exists in some users' mobile phones and some APPs to varying degrees; obviously, the above solutions given by the manufacturers still have not fundamentally solved the above problems

At present, there is still no effective solution to the above problems

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