人机交互中的概率控制Probabilistic Control in Human Computer Interaction |
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课程网址: | http://videolectures.net/nipsworkshops09_murray_smith_pchci/ |
主讲教师: | Roderick Murray-Smith |
开课单位: | 格拉斯哥大学 |
开课时间: | 2010-01-19 |
课程语种: | 英语 |
中文简介: | 与计算机的持续交互可以被视为受各种不确定性来源的控制问题。我们提出了基于多个噪声传感器(电容传感,位置和轴承传感和EEG)的交互实例,这些传感器依赖于对用户意图的推断,以及使用粒子滤波器可以提高性能的领域。我们使用“H隐喻”来自动,灵活地移动控制中的自治水平,作为用户控制动作的确定性的函数,以类似的方式在骑马时“松开缰绳”。推理机制与概率反馈设计的集成可以对行为产生显着影响,并且呈现了一些示例。 (与John Williamson,Simon Rogers和Steven Strachan共同合作)。 |
课程简介: | Continuous interaction with computers can be treated as a control problem subject to various sources of uncertainty. We present examples of interaction based on multiple noisy sensors (capacitive sensing, location- and bearing sensing and EEG), in domains which rely on inference about user intention, and where the use of particle filters can improve performance. We use the "H-metaphor" for automated, flexibly handover of level of autonomy in control, as a function of the certainty of control actions from the user, in an analogous fashion to 'loosening the reins' when horse-riding. Integration of the inference mechanisms with probabilistic feedback designs can have a significant effect on behaviour, and some examples are presented. (Joint work with John Williamson, Simon Rogers and Steven Strachan). |
关 键 词: | 传感器; 函数; 推理机制 |
课程来源: | 视频讲座网 |
最后编审: | 2019-09-07:lxf |
阅读次数: | 58 |