Automatic user interface data generation

    公开(公告)号:US11379189B1

    公开(公告)日:2022-07-05

    申请号:US17354439

    申请日:2021-06-22

    Abstract: Techniques are disclosed relating to automatically synthesizing user interface (UI) component instances. In disclosed techniques a computer system receives a set of existing UI elements and a set of design rules for the set of existing elements, where design rules in the set of design rules indicate one or more allowed states for respective UI elements in the set of existing UI elements. The one or more allowed states may correspond to one or more visual characteristics. Using the set of existing UI elements, the computer system may then automatically generate a plurality of UI component instances based on the set of design rules, where a respective UI component instance includes a first UI element in a first allowed state. The computer system may then train, using the plurality of UI component instances, a machine learning model operable to automatically generate UI designs.

    Automatic user interface architecture

    公开(公告)号:US11210111B2

    公开(公告)日:2021-12-28

    申请号:US16176933

    申请日:2018-10-31

    Abstract: Techniques are disclosed relating to automatically generating user interfaces. In some embodiments, input data to be displayed is grouped into components (e.g., based on depth within hierarchical code, coordinates in a display space, etc.). These components may be based on template information that defines a set of known component types. In some embodiments, the system formats the selected components according to display parameters and causes display of a user interface that displays the components based on the formatting. In various embodiments, the disclosed techniques may allow automatic creation of effective user interfaces without information specifying layout and formatting for input data. This may provide flexible, quality interfaces without requiring design or coding expertise. Further, disclosed techniques may allow the automatic interface generator to generate interfaces similar to other existing interfaces.

    Automatic user interface data generation

    公开(公告)号:US11074044B1

    公开(公告)日:2021-07-27

    申请号:US17147053

    申请日:2021-01-12

    Abstract: Techniques are disclosed relating to automatically synthesizing user interface (UI) component instances. In disclosed techniques a computer system receives a set of existing UI elements and a set of design rules for the set of existing elements, where design rules in the set of design rules indicate one or more allowed states for respective UI elements in the set of existing UI elements. The one or more allowed states may correspond to one or more visual characteristics. Using the set of existing UI elements, the computer system may then automatically generate a plurality of UI component instances based on the set of design rules, where a respective UI component instance includes a first UI element in a first allowed state. The computer system may then train, using the plurality of UI component instances, a machine learning model operable to automatically generate UI designs.

    Correlating user interface design types to user groups

    公开(公告)号:US10896049B2

    公开(公告)日:2021-01-19

    申请号:US16393017

    申请日:2019-04-24

    Abstract: Techniques are disclosed relating to providing customized user interfaces to different groups of users. A computing system may determine a plurality of different design types for a user interface and cause display of user interfaces that exhibit the different design types to different users. Based on user interactions with the user interfaces, the system may generate one or more metrics. The system may and may determine attribute values for attributes of users who interact with the user interface. The system may perform one or more correlation procedures to correlate the attribute values with one or more of the metrics. In disclosed embodiments, the computing system generates groups of users based on the correlation. The computing system may assign at least one of the design types to at least one of the groups of users based on the correlation.

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