NOISE-SENSITIVE ALERT PRESENTATION
    11.
    发明申请
    NOISE-SENSITIVE ALERT PRESENTATION 有权
    噪音敏感提示

    公开(公告)号:US20150332564A1

    公开(公告)日:2015-11-19

    申请号:US14281437

    申请日:2014-05-19

    IPC分类号: G08B6/00 G08B3/10

    摘要: Many devices are configured to present alerts notifying a user of device events, but the user may not notice the alert due to a noisy environment. A user may mitigate missed alerts by increasing the alert volume or choosing a vibration mode, but such techniques depend upon the knowledge, attention, and memory of the user to adjust the device before the alert. Instead, a device may compare the noise level of the environment with a noise level threshold. If the noise level is below the threshold, the device presents the alert; but if the noise level is above the threshold, the device defers the presentation of the alert until the noise level diminishes below the threshold, and then presents the alert. The device may also send an automated response to the message, notifying a sender that the user may return the message upon leaving the noisy environment.

    摘要翻译: 许多设备被配置为呈现通知用户设备事件的警报,但是由于噪声环境,用户可能不会注意到警报。 用户可以通过增加警报音量或选择振动模式来减轻错过的警报,但是这种技术取决于用户在警报之前调整设备的知识,注意力和存储。 相反,设备可以将环境的噪声电平与噪声电平阈值进行比较。 如果噪声水平低于阈值,则设备会显示警报; 但是如果噪声水平高于阈值,则设备会延迟警报的显示,直到噪声水平降低到阈值以下,然后呈现警报。 设备还可以向消息发送自动响应,通知发送者用户在离开噪声环境时可以返回消息。

    EFFICIENCY AND ACCURACY OF GEO-FENCING BASED ON USER HISTORY
    12.
    发明申请
    EFFICIENCY AND ACCURACY OF GEO-FENCING BASED ON USER HISTORY 审中-公开
    基于用户历史的地理环境的效率和准确性

    公开(公告)号:US20130031047A1

    公开(公告)日:2013-01-31

    申请号:US13192461

    申请日:2011-07-28

    IPC分类号: G06F17/30

    摘要: Architecture that identifies and learns repeated user behavior (habits) related to routes of travel and points of interest. Once learned, the habits of an individual can be used to make an algorithm more efficient, and hence, the user experience of an application more effective and enjoyable. The capability to more accurately infer user behavior based on user history can be employed to operate (e.g., power down or place in components standby to conserve power) user device resources in a more efficient manner. It can be identified that a user has deviated from a routine route that has associated points of interest to a new route that has associated new points of interest. Once identified, the original set of points of interest for the routine route is then updated with new points of interest. The identification of fixed routes can be determined dynamically as well as deviation from a fixed route.

    摘要翻译: 识别和学习与旅行路线和兴趣点相关的重复用户行为(习惯)的体系结构。 一旦了解,个人的习惯可以用来使算法更有效率,因此,应用程序的用户体验更有效和愉快。 可以采用基于用户历史来更准确地推断用户行为的能力,以更有效的方式操作(例如,将组件中的电源掉电或放置在组件待机以节省功率)用户设备资源。 可以确定用户已经将具有相关兴趣点的例行路线偏离到具有相关联的新兴趣点的新路线。 一旦确定,然后用新的兴趣点更新常规路线的原始感兴趣点。 可以动态确定固定路由的识别以及与固定路由的偏差。