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    • 71. 发明授权
    • System and method for autocompletion and alignment of user gestures
    • 自动完成和用户手势对齐的系统和方法
    • US09182233B2
    • 2015-11-10
    • US13474127
    • 2012-05-17
    • Fuliang WengZhongnan Shen
    • Fuliang WengZhongnan Shen
    • G01C21/00G01C21/36G06F3/042G06F3/0488
    • G01C21/005G01C21/3664G06F3/0425G06F3/04883
    • In accordance with one embodiment, a navigation system includes a display device configured to detect user gestures, a data storage device including program instructions stored therein, a map stored within the data storage device, and a controller operatively coupled to the data storage device and the display device and configured to execute the program instructions to receive first user gesture data associated with a first portion of a first user gesture from the display device, generate a first predicted user gesture data based upon the stored map and the first user gesture data, and control the display device to render the first predicted user gesture data as the user is continuing the first user gesture.
    • 根据一个实施例,导航系统包括被配置为检测用户手势的显示设备,包括存储在其中的程序指令的数据存储设备,存储在数据存储设备内的地图,以及可操作地耦合到数据存储设备和 显示装置,并被配置为执行程序指令以从显示装置接收与第一用户手势的第一部分相关联的第一用户手势数据,基于存储的地图和第一用户手势数据生成第一预测用户手势数据,以及 控制显示设备以在用户继续第一用户手势时呈现第一预测用户手势数据。
    • 75. 发明授权
    • System and method for automated testing of complicated dialog systems
    • 复杂对话系统的自动化测试系统和方法
    • US08296144B2
    • 2012-10-23
    • US12133123
    • 2008-06-04
    • Fuliang WengHua Ai
    • Fuliang WengHua Ai
    • G10L11/00
    • G10L15/01G06Q10/103
    • Embodiments of an automated dialog system testing method and component are described. This automated testing method and system supplements real human-based testing with simulated user input and incorporates a set of evaluation measures that focus on three basic aspects of task-oriented dialog systems, namely, understanding ability, efficiency, and the appropriateness of system actions. These measures are first applied on a corpus generated between a dialog system and a group of human users to demonstrate the validity of these measures with the human users' satisfaction levels. Results generally show that these measures are significantly correlated with these satisfaction levels. A regression model is then built to predict the user satisfaction scores using these evaluation measures. The regression model is applied on a simulated dialog corpus trained from the above real user corpus, and show that the user satisfaction score estimated from the simulated dialogs do not significantly differ from the real users' satisfaction scores. These evaluation measures can then be used to assess the system performance based on the estimated user satisfaction.
    • 描述了自动对话系统测试方法和组件的实施例。 这种自动测试方法和系统通过模拟用户输入来补充真正的基于人力的测试,并结合了一套重点放在面向任务的对话系统的三个基本方面的评估措施,即理解能力,效率和系统操作的适用性。 这些措施首先应用于对话系统和一组人类用户之间产生的语料库,以显示这些措施与人类用户满意度的有效性。 结果一般表明,这些措施与这些满意度水平显着相关。 然后建立回归模型,以使用这些评估措施来预测用户满意度评分。 回归模型应用于从上述真实用户语料库训练的模拟对话语料库,并显示从模拟对话框估计的用户满意度评分与实际用户满意度得分无显着差异。 这些评估措施可以用于根据估计的用户满意度来评估系统性能。