Interactive Reading Assistant
    1.
    发明申请

    公开(公告)号:US20200312183A1

    公开(公告)日:2020-10-01

    申请号:US16798820

    申请日:2020-02-24

    Applicant: Apple Inc.

    Abstract: A method includes displaying a first set of text content characterized by a first difficulty level. The method includes obtaining speech data associated with the first set of text content. The method includes determining linguistic feature(s) within the speech data. The method includes in response to completion of the speech data, determining a reading proficiency value associated with the first set of text content and based on the linguistic feature(s). The method includes in accordance with determining the reading proficiency value satisfies change criteria, changing a difficulty level for a second set of text content. After changing the difficulty level, the second set of text content corresponds to a second difficulty level different from the first difficulty level. The method includes in accordance with determining the reading proficiency value does not satisfy the change criteria, maintaining the second set of text content at the first difficulty level.

    Interactive reading assistant
    5.
    发明授权

    公开(公告)号:US11373544B2

    公开(公告)日:2022-06-28

    申请号:US16798820

    申请日:2020-02-24

    Applicant: Apple Inc.

    Abstract: A method includes displaying a first set of text content characterized by a first difficulty level. The method includes obtaining speech data associated with the first set of text content. The method includes determining linguistic feature(s) within the speech data. The method includes in response to completion of the speech data, determining a reading proficiency value associated with the first set of text content and based on the linguistic feature(s). The method includes in accordance with determining the reading proficiency value satisfies change criteria, changing a difficulty level for a second set of text content. After changing the difficulty level, the second set of text content corresponds to a second difficulty level different from the first difficulty level. The method includes in accordance with determining the reading proficiency value does not satisfy the change criteria, maintaining the second set of text content at the first difficulty level.

    Interactive Reading Assistant
    7.
    发明申请

    公开(公告)号:US20220277662A1

    公开(公告)日:2022-09-01

    申请号:US17750923

    申请日:2022-05-23

    Applicant: Apple Inc.

    Abstract: A method includes, while displaying a first set of text content via a display device, determining an engagement value that characterizes a level of user engagement with respect to the first set of text content. The method includes, in accordance with a determination that the engagement value satisfies a threshold, replacing the first set of text content with a second set of text content via the display device. The first set of text content is different from the second set of text content. The method includes in accordance with a determination that the engagement value does not satisfy the threshold, maintaining display of the first set of text content via the display device.

    Generating Responses to User Interaction Data based on User Interaction-Styles

    公开(公告)号:US20200311347A1

    公开(公告)日:2020-10-01

    申请号:US16798858

    申请日:2020-02-24

    Applicant: Apple Inc.

    Abstract: A method includes obtaining user input interaction data. The user input interaction data includes one or more user interaction input values respectively obtained from the corresponding one or more input devices. The user input interaction data includes a word combination. The method includes generating a user interaction-style indicator value corresponding to the word combination in the user input interaction data. The user interaction-style indicator value is a function of the word combination and a portion of the one or more user interaction input values. The method includes determining, using a semantic text analyzer, a semantic assessment of the word combination in the user input interaction data based on the user interaction-style indicator value and a natural language assessment of the word combination. The method includes generating a response to the user input interaction data according to the user interaction-style indicator value and the semantic assessment of the word combination.

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