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An Investigation of Adaptive Pen Pressure Discretization Method Based on Personal Pen Pressure Use Profile

机译:基于个人笔压使用曲线的自适应笔压离散化方法研究

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Continuous pen pressure can be used to operate multi-state widgets such as menus in pen based user interfaces. The number of levels into which the pen pressure space is divided determines the number of states in the multi-state widgets. To increase the optimal number of divisions of the pen pressure space and achieve greater pen pressure usability, we propose a new discretization method which divides the pen pressure space according to a personal pen pressure use profile. We present here four variations of the method: discretization according to personal/aggregation pen pressure use profile with/without visual feedback of uniform level widths and the traditional even discretization method. Two experiments were conducted respectively to investigate pen pressure use profile and to comparatively evaluate the performance of these methods. Results indicate that the subjects performed fastest and with the fewest errors when the pen pressure space was divided according to personal profile with visual feedback of uniform level widths (PU) and performed worst when the pen pressure space was divided evenly. With PU method, the optimal number of divisions of the pen pressure space was 8. Visual feedback of uniform level widths enhanced performance of uneven discretization. The findings of this study have implications for human-oriented pen pressure use in pen pressure based user interface designs.
机译:连续的笔压力可用于操作多状态窗口小部件,例如基于笔的用户界面中的菜单。笔压力空间被划分为的级别数确定了多状态小部件中的状态数。为了增加笔压力空间的最佳划分数量并实现更大的笔压力可用性,我们提出了一种新的离散化方法,该方法可以根据个人笔压力使用情况来划分笔压力空间。在这里,我们介绍该方法的四个变体:根据个人/聚集笔压力使用情况的离散化,具有/不具有统一电平宽度的视觉反馈,以及传统的均匀离散化方法。分别进行了两个实验,以研究笔压使用情况并比较评估这些方法的性能。结果表明,当根据个人简介划分笔压空间并具有均匀水平宽度(PU)的视觉反馈时,受试者表现最快,错误最少,而当笔压空间均匀划分时,表现最差。使用PU方法,笔压力空间的最佳分割数为8。均匀水准宽度的视觉反馈增强了不均匀离散的性能。这项研究的发现对基于笔压的用户界面设计中以人为本的笔压的使用具有影响。

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