System and method that facilitates computer desktop use via scaling of displayed objects with shifts to the periphery
    15.
    发明授权
    System and method that facilitates computer desktop use via scaling of displayed objects with shifts to the periphery 有权
    系统和方法,通过缩放显示的对象,转移到周边,便于计算机桌面使用

    公开(公告)号:US07536650B1

    公开(公告)日:2009-05-19

    申请号:US10851459

    申请日:2004-05-21

    IPC分类号: G06F3/048

    CPC分类号: G06F3/0481 G06F2203/04806

    摘要: The present invention relates to a system that facilitates multi-tasking in a computing environment. A focus area component defines a focus area within a display space—the focus area occupying a subset area of the display space area. A scaling component scales display objects as a function of proximity to the focus area, and a behavior modification component modifies respective behavior of the display objects as a function their location of the display space. Thus, and more particularly the subject invention provides for interaction technique(s) and user interface(s) in connection with managing display objects on a display surface. One aspect of the invention defines a central focus area where the display objects are displayed and behave as usual, and a periphery outside the focus area where the display objects are reduced in size based on their location, getting smaller as they near an edge of the display surface so that many more objects can remain visible. In addition or alternatively, the objects can fade as they move toward an edge, fading increasing as a function of distance from the focus area and/or use of the object and/or priority of the object. Objects in the periphery can also be modified to have different interaction behavior (e.g., lower refresh rate, fading, reconfigured to display sub-objects based on relevance and/or visibility, static, etc.) as they may be too small for standard rendering. The methods can provide a flexible, scalable surface when coupled with automated policies for moving objects into the periphery, in response to the introduction of new objects or the resizing of pre-existing objects by a user or autonomous process.

    摘要翻译: 本发明涉及一种便于在计算环境中进行多任务处理的系统。 聚焦区域组件定义显示空间区域内的聚焦区域 - 聚焦区域占据显示空间区域的子区域。 缩放组件将显示对象缩放为与焦点区域的接近度的函数,并且行为修改组件根据显示对象的位置来修改显示对象的相应行为。 因此,更具体地,本发明提供了与在显示表面上管理显示对象有关的交互技术和用户界面。 本发明的一个方面定义了中心聚焦区域,其中显示对象被显示和照常行为,以及基于它们的位置使显示对象尺寸减小的聚焦区域外的外围,随着它们靠近边缘的边缘而变小 显示表面,使得更多的对象可以保持可见。 另外或替代地,当物体朝着边缘移动时,物体可以衰减,随着距离焦点区域的距离和/或物体的使用和/或物体的优先级的函数的衰减而增加。 外围的对象也可以修改为具有不同的交互行为(例如,较低的刷新率,衰落,基于相关性和/或可见性,静态等重新配置以显示子对象),因为它们可能对于标准渲染而言太小 。 当与用户或自主过程引入新对象或调整预先存在的对象的响应相结合时,可以提供灵活的,可扩展的表面,用于将对象移动到外围的自动化策略。

    Precomputation of context-sensitive policies for automated inquiry and action under uncertainty
    17.
    发明授权
    Precomputation of context-sensitive policies for automated inquiry and action under uncertainty 有权
    对不确定性进行自动查询和行动的情境敏感政策的预先计算

    公开(公告)号:US07428521B2

    公开(公告)日:2008-09-23

    申请号:US11172016

    申请日:2005-06-29

    IPC分类号: G06F9/44 G06N7/02 G06N7/06

    CPC分类号: G06N7/005 G06F8/35 G06F8/36

    摘要: Learning, inference, and decision making with probabilistic user models, including considerations of preferences about outcomes under uncertainty, may be infeasible on portable devices. The subject invention provides systems and methods for pre-computing and storing policies based on offline preference assessment, learning, and reasoning about ideal actions and interactions, given a consideration of uncertainties, preferences, and/or future states of the world. Actions include ideal real-time inquiries about a state, using pre-computed value-of-information analyses. In one specific example, such pre-computation can be applied to automatically generate and distribute call-handling policies for cell phones. The methods can employ learning of Bayesian network user models for predicting whether users will attend meetings on their calendar and the cost of being interrupted by incoming calls should a meeting be attended.

    摘要翻译: 使用概率用户模型进行学习,推理和决策,包括对不确定性下的结果的偏好的考虑,在便携式设备上可能是不可行的。 本发明提供了在考虑到世界的不确定性,偏好和/或未来状态的情况下,基于离线偏好评估,学习和关于理想动作和交互的推理来预先计算和存储策略的系统和方法。 行动包括使用预先计算的信息价值分析的理想实时查询状态。 在一个具体示例中,可以应用这种预计算来自动生成和分发用于蜂窝电话的呼叫处理策略。 这些方法可以利用贝叶斯网络用户模型的学习来预测用户是否参加会议,以及如果出席会议,将会有来电打扰的成本。

    Traffic forecasting employing modeling and analysis of probabilistic interdependencies and contextual data
    18.
    发明授权
    Traffic forecasting employing modeling and analysis of probabilistic interdependencies and contextual data 有权
    流量预测采用建模和分析概率相互依赖关系和语境数据

    公开(公告)号:US07698055B2

    公开(公告)日:2010-04-13

    申请号:US11171791

    申请日:2005-06-30

    IPC分类号: G06G7/76

    CPC分类号: G08G1/0104

    摘要: Systems and methods are described for constructing predictive models, based on statistical machine learning, that can make forecasts about traffic flows and congestions, based on an abstraction of a traffic system into a set of random variables, including variables that represent the amount of time until there will be congestion at key troublespots and the time until congestions will resolve. Observational data includes traffic flows and dynamics, and other contextual data such as the time of day and day of week, holidays, school status, the timing and nature of major gatherings such as sporting events, weather reports, traffic incident reports, and construction and closure reports. The forecasting methods are used in alerting, the display graphical information about predictions about congestion on desktop on mobile devices, and in offline and real-time automated route recommendations and planning.

    摘要翻译: 描述了基于统计机器学习构建预测模型的系统和方法,其基于将交通系统抽象成一组随机变量,其中包括代表时间量的变量,直到 关键问题将会堵塞,直到拥堵才能解决。 观测数据包括交通流量和动态,以及诸如体育赛事,天气报告,交通事故报告和建筑等主要聚会的时间和性质等其他情景数据,如时间和星期几,假期,学校状况,以及 关闭报告。 预测方法用于警报,显示关于移动设备上台式机拥塞预测的图形信息,以及离线和实时自动路由建议和规划中的预测方法。

    Precomputation of context-sensitive policies for automated inquiry and action under uncertainty
    19.
    发明授权
    Precomputation of context-sensitive policies for automated inquiry and action under uncertainty 有权
    对不确定性进行自动查询和行动的情境敏感政策的预先计算

    公开(公告)号:US07613670B2

    公开(公告)日:2009-11-03

    申请号:US11969053

    申请日:2008-01-03

    IPC分类号: G06F17/00 G06N5/02

    CPC分类号: G06N7/005 G06F8/35 G06F8/36

    摘要: Learning, inference, and decision making with probabilistic user models, including considerations of preferences about outcomes under uncertainty, may be infeasible on portable devices. The subject invention provides systems and methods for pre-computing and storing policies based on offline preference assessment, learning, and reasoning about ideal actions and interactions, given a consideration of uncertainties, preferences, and/or future states of the world. Actions include ideal real-time inquiries about a state, using pre-computed value-of-information analyses. In one specific example, such pre-computation can be applied to automatically generate and distribute call-handling policies for cell phones. The methods can employ learning of Bayesian network user models for predicting whether users will attend meetings on their calendar and the cost of being interrupted by incoming calls should a meeting be attended.

    摘要翻译: 使用概率用户模型进行学习,推理和决策,包括对不确定性下的结果的偏好的考虑,在便携式设备上可能是不可行的。 本发明提供了在考虑到世界的不确定性,偏好和/或未来状态的情况下,基于离线偏好评估,学习和关于理想动作和交互的推理来预先计算和存储策略的系统和方法。 行动包括使用预先计算的信息价值分析的理想实时查询状态。 在一个具体示例中,可以应用这种预计算来自动生成和分发用于蜂窝电话的呼叫处理策略。 这些方法可以利用贝叶斯网络用户模型的学习来预测用户是否参加会议,以及如果出席会议,将会有来电打扰的成本。

    Methods for automated and semiautomated composition of visual sequences, flows, and flyovers based on content and context
    20.
    发明授权
    Methods for automated and semiautomated composition of visual sequences, flows, and flyovers based on content and context 有权
    基于内容和上下文的自动和半自动组合视觉序列,流程和天桥的方法

    公开(公告)号:US07610560B2

    公开(公告)日:2009-10-27

    申请号:US11171065

    申请日:2005-06-30

    IPC分类号: G06F3/048 G01C21/00

    摘要: A system with the ability to dynamically compose a sequence of visual views or flows allowing a single object or region, or multiple objects or regions, to be viewed from different perspectives and visual distances is described. The sequence of views can provide smooth flyovers over positions and details on objects that are deemed to be of interest, with changes in zoom level and/or velocity that are functions of the estimated complexity and/or unfamiliarity with features of the object. In an example, a flyover displaying different views on a map of a city arterial system on a small-screened mobile device is composed based on current traffic conditions, swooping up and down with parabolic trajectories, based on distances being traversed, and pausing at times over key traffic jams and other findings of interest based on the estimated visual complexity and predicted atypicality of situations.

    摘要翻译: 描述了能够动态地构成允许从不同视角和视觉距离观看单个对象或区域或多个对象或区域的视觉视图或流程序列的能力的系统。 视图序列可以在被认为是感兴趣的对象上的位置和细节上提供平滑的天桥,变化水平和/或速度是估计复杂度的函数和/或不熟悉对象的特征的功能。 在一个示例中,在小屏幕移动设备上在城市动脉系统的地图上显示不同视图的天桥基于当前的交通状况,基于穿过的距离上升和下降而抛弃轨迹,并且有时暂停 根据估计的视觉复杂性和预测的情况的非典型性,关键的交通堵塞和其他感兴趣的发现。