Analyzing graphical user interfaces to facilitate automatic interaction

    公开(公告)号:US11775254B2

    公开(公告)日:2023-10-03

    申请号:US17251468

    申请日:2020-01-31

    Applicant: Google LLC

    CPC classification number: G06F3/167 G06T7/70 G06V20/00 G10L15/26 G06T2200/24

    Abstract: Implementations are described herein for analyzing existing graphical user interfaces (“GUIs”) to facilitate automatic interaction with those GUIs, e.g., by automated assistants or via other user interfaces, with minimal effort from the hosts of those GUIs. For example, in various implementations, a user intent to interact with a particular GUI may be determined based at least in part on a free-form natural language input. Based on the user intent, a target visual cue to be located in the GUI may be identified, and object recognition processing may be performed on a screenshot of the GUI to determine a location of a detected instance of the target visual cue in the screenshot. Based on the location of the detected instance of the target visual cue, an interactive element of the GUI may be identified and automatically populate with data determined from the user intent.

    ANALYZING GRAPHICAL USER INTERFACES TO FACILITATE AUTOMATIC INTERACTION

    公开(公告)号:US20250060934A1

    公开(公告)日:2025-02-20

    申请号:US18934902

    申请日:2024-11-01

    Applicant: GOOGLE LLC

    Abstract: Implementations are described herein for analyzing existing graphical user interfaces (“GUIs”) to facilitate automatic interaction with those GUIs, e.g., by automated assistants or via other user interfaces, with minimal effort from the hosts of those GUIs. For example, in various implementations, a user intent to interact with a particular GUI may be determined based at least in part on a free-form natural language input. Based on the user intent, a target visual cue to be located in the GUI may be identified, and object recognition processing may be performed on a screenshot of the GUI to determine a location of a detected instance of the target visual cue in the screenshot. Based on the location of the detected instance of the target visual cue, an interactive element of the GUI may be identified and automatically populate with data determined from the user intent.

    Analyzing graphical user interfaces to facilitate automatic interaction

    公开(公告)号:US12147732B2

    公开(公告)日:2024-11-19

    申请号:US18234760

    申请日:2023-08-16

    Applicant: GOOGLE LLC

    Abstract: Implementations are described herein for analyzing existing graphical user interfaces (“GUIs”) to facilitate automatic interaction with those GUIs, e.g., by automated assistants or via other user interfaces, with minimal effort from the hosts of those GUIs. For example, in various implementations, a user intent to interact with a particular GUI may be determined based at least in part on a free-form natural language input. Based on the user intent, a target visual cue to be located in the GUI may be identified, and object recognition processing may be performed on a screenshot of the GUI to determine a location of a detected instance of the target visual cue in the screenshot. Based on the location of the detected instance of the target visual cue, an interactive element of the GUI may be identified and automatically populate with data determined from the user intent.

    ANALYZING GRAPHICAL USER INTERFACES TO FACILITATE AUTOMATIC INTERACTION

    公开(公告)号:US20230393810A1

    公开(公告)日:2023-12-07

    申请号:US18234760

    申请日:2023-08-16

    Applicant: GOOGLE LLC

    CPC classification number: G06F3/167 G06T7/70 G06V20/00 G10L15/26 G06T2200/24

    Abstract: Implementations are described herein for analyzing existing graphical user interfaces (“GUIs”) to facilitate automatic interaction with those GUIs, e.g., by automated assistants or via other user interfaces, with minimal effort from the hosts of those GUIs. For example, in various implementations, a user intent to interact with a particular GUI may be determined based at least in part on a free-form natural language input. Based on the user intent, a target visual cue to be located in the GUI may be identified, and object recognition processing may be performed on a screenshot of the GUI to determine a location of a detected instance of the target visual cue in the screenshot. Based on the location of the detected instance of the target visual cue, an interactive element of the GUI may be identified and automatically populate with data determined from the user intent.

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