Application Gateway for Providing Different User Interfaces for Limited Distraction and Non-Limited Distraction Contexts
    12.
    发明申请
    Application Gateway for Providing Different User Interfaces for Limited Distraction and Non-Limited Distraction Contexts 审中-公开
    用于提供不同用户界面的应用网关,用于有限的分心和非限制的分心背景

    公开(公告)号:US20130275899A1

    公开(公告)日:2013-10-17

    申请号:US13913428

    申请日:2013-06-08

    Applicant: Apple Inc.

    Abstract: An electronic device receives a first input that corresponds to a request to open a respective application, and in response to receiving the first input, in accordance with a determination that the device is being operated in a limited-distraction context, provides a limited-distraction user interface that includes providing for display fewer selectable user interface objects than are displayed in a non-limited user interface for the respective application, and in accordance with a determination that the device is not being operated in a limited-distraction context, provides a non-limited user interface for the respective application.

    Abstract translation: 电子设备接收对应于打开相应应用的请求的第一输入,并且响应于接收到第一输入,根据在有限分散的上下文中操作该设备的确定,提供有限的分心 用户界面,其包括提供显示比在相应应用的非限制用户界面中显示更少的可选用户界面对象,并且根据确定该设备未在有限分散的上下文中操作, 用于各个应用程序的无限用户界面。

    ADJUSTING ALARMS BASED ON SLEEP ONSET LATENCY

    公开(公告)号:US20210345948A1

    公开(公告)日:2021-11-11

    申请号:US17382547

    申请日:2021-07-22

    Applicant: Apple Inc.

    Abstract: In some implementations, a mobile device can adjust an alarm siting based of the sleep onset latency duration detected for a user of the mobile device. For example, sleep onset latency can be the amount of time it takes for the user to fall asleep after the user attempts to go to sleep (e.g., goes to bed). The mobile device can determine when the user intends or attempts to go to sleep based on detected sleep ritual activities. Sleep ritual activities can include those activities user performs in preparation for sleep. The mobile device can determine when the user is asleep based on detected sleep signals (e.g., biometric data, sounds, etc.). In some implementations, the mobile device can determine recurring patterns of long or short sleep onset latency and present suggestions that might help the user sleep better or feel more rested.

    Performing actions associated with task items that represent tasks to perform

    公开(公告)号:US11120372B2

    公开(公告)日:2021-09-14

    申请号:US16895944

    申请日:2020-06-08

    Applicant: Apple Inc.

    Abstract: Techniques for processing task items are provided. A task item is electronic data that represents a task to be performed, whether manually or automatically. A task item includes one or more details about its corresponding task, such as a description of the task and a location of the task. Specifically, techniques for generating task items, organizing task items, triggering notifications of task items, and consuming task items are described. In one approach, a task item is generated based on input from a user and context of the input. In another approach, different attributes of task items are used to organize the task items intelligently into multiple lists. In another approach, one or more criteria, such as location, are used to determine when to notify a user of a task. In another approach, actions other than generating notifications are enabled or automatically performed, actions such as emailing, calling, texting, and searching.

    ADJUSTING ALARMS BASED ON SLEEP ONSET LATENCY

    公开(公告)号:US20200345298A1

    公开(公告)日:2020-11-05

    申请号:US16934983

    申请日:2020-07-21

    Applicant: Apple Inc.

    Abstract: In some implementations, a mobile device can adjust an alarm setting based on the sleep onset latency duration detected for a user of the mobile device. For example, sleep onset latency can be the amount of time it takes for the user to fall asleep after the user attempts to go to sleep (e.g., goes to bed). The mobile device can determine when the user intends or attempts to go to sleep based on detected sleep ritual activities. Sleep ritual activities can include those activities a user performs in preparation for sleep. The mobile device can determine when the user is asleep based on detected sleep signals (e.g., biometric data, sounds, etc.). In some implementations, the mobile device can determine recurring patterns of long or short sleep onset latency and present suggestions that might help the user sleep better or feel more rested.

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