Samsung electronics co., ltd. (20240094871). SPLIT SCREEN APPLICATION MATCHING METHOD OF TERMINAL, APPARATUS, ELECTRONIC DEVICE AND STORAGE MEDIUM simplified abstract

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SPLIT SCREEN APPLICATION MATCHING METHOD OF TERMINAL, APPARATUS, ELECTRONIC DEVICE AND STORAGE MEDIUM

Organization Name

samsung electronics co., ltd.

Inventor(s)

Yiwen Yang of Guangzhou (CN)

SPLIT SCREEN APPLICATION MATCHING METHOD OF TERMINAL, APPARATUS, ELECTRONIC DEVICE AND STORAGE MEDIUM - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240094871 titled 'SPLIT SCREEN APPLICATION MATCHING METHOD OF TERMINAL, APPARATUS, ELECTRONIC DEVICE AND STORAGE MEDIUM

Simplified Explanation

The patent application describes a method for a split-screen application matching system, which involves acquiring feature information related to a first application, determining a list of candidate applications using an artificial intelligence model, and displaying the first application alongside the candidate application list on a split-screen interface.

  • Acquiring feature information associated with a first application:
 - This step involves gathering data about the features and characteristics of the first application that will be displayed on the split-screen interface.
  • Determining a candidate application list using an artificial intelligence model:
 - The system uses an artificial intelligence model, which includes a feature extraction model and a deep learning model, to analyze the feature information and generate a list of potential second applications to display alongside the first application.
  • Displaying the first application in a first split-screen area and the candidate application list in a second split-screen area:
 - The final step involves presenting the first application in one section of the split-screen interface, while showing the list of candidate applications in another section, allowing users to easily switch between different applications.

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      1. Potential Applications of this Technology

This technology could be applied in multi-tasking scenarios where users need to access multiple applications simultaneously on a single screen.

      1. Problems Solved by this Technology

This technology solves the issue of efficiently managing and switching between multiple applications on a split-screen interface, enhancing user productivity and convenience.

      1. Benefits of this Technology

The benefits of this technology include improved multitasking capabilities, streamlined user experience, and increased efficiency in accessing and utilizing multiple applications.

      1. Potential Commercial Applications of this Technology

Potential commercial applications of this technology include mobile devices, tablets, computers, and other electronic devices that support split-screen functionality, catering to users who require multitasking capabilities.

      1. Possible Prior Art

One possible prior art could be the split-screen feature available on some mobile devices and computers, which allow users to view and interact with multiple applications simultaneously on a single screen.

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        1. Unanswered Questions
      1. How does the artificial intelligence model determine the candidate application list?

The exact process and criteria used by the artificial intelligence model to select and generate the list of candidate applications are not specified in the abstract. Further details on the algorithm and decision-making process would provide more insight into the system's functionality.

      1. What types of features are considered in the feature extraction model?

The abstract mentions that the artificial intelligence model includes a feature extraction model, but it does not specify the specific features that are extracted and analyzed. Understanding the types of features considered in this model would shed light on the factors influencing the selection of candidate applications.


Original Abstract Submitted

a split screen application matching method, including acquiring feature information associated with a first application, based on receiving a split screen instruction; determining a candidate application list using an artificial intelligence model based on the feature information, wherein the artificial intelligence model comprises a feature extraction model and a deep learning model, and the candidate application list comprises at least one candidate second application; and displaying the first application in a first split screen area of the terminal, and displaying the candidate application list in a second split screen area of the terminal.

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