The Role of Direct Manipulation of Visualizations in the Development and Use of Multi-level Knowledge Models
The Role of Direct Manipulation of Visualizations in the Development and Use of Multi-level Knowledge Models
复制标题
可视化直接操作在多级知识模型的开发和使用中的作用
DOI：
10.1109/iv.2013.95
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Yuzuru Tanaka
中科院分区：
文献类型：
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作者：
Randy Goebel;Wei Shi;Yuzuru Tanaka
触敏显示屏的普及创造了新一代的人机交互风格，这些风格非常自然和常见，即使是最年轻的用户现在也会将普通的静态媒体（例如光鲜的杂志）视为损坏的iPad。期望能够在屏幕上捏、抓、扭和操纵图像的用户数量正在迅速增长;他们重新激发了开发、评估和提供新的直接操纵系统的兴趣。我们的前提是，人们可以利用新技术开发新的剧目的直接操纵，但越来越大的压力，提供语义耦合的直接操纵方法与计算信息模型的实验。我们开发这个前提，注意到直接操作界面的演变中的亮点，并建议他们的选择和部署可以定制为可视化实验，以调试和扩展更复杂的计算模型的信息系统和流程。这些系统和过程包括自然系统的系统和过程，例如系统生物学中出现的系统和过程（例如，对蛋白质结构的多层次建模），但也适用于“非自然”系统，例如在万维网（WWW）等人工系统中识别中心和权威。我们的前提的直接后果表明，直接操作工具的设计应该继续与语义的建模系统铭记，使每个用户的操作提供了一个新的视角的概念“数据挖掘”的大型数据集。这将允许用户不仅暴露隐含的关系，而且通过直接操作逐步将联合收割机解释性和探索性调查结合起来，以调整和改进从底层数据中出现的计算知识模型。
The proliferation of touch sensitive display screens has created a new generation of human-computer interaction styles which are so natural and common that even the youngest of users now perceive ordinary static media like a glossy magazine as a broken iPad. The volume of users who expect to be able to pinch, grab, twist and manipulate images on screen is rapidly growing; they drive a renewed interest in developing, assessing, and delivering new direct manipulation systems. Our premise is that one can exploit new technologies to develop new repertoires of direct manipulation, but with increasing pressure to provide semantically-coupled direct manipulation methods to experiment with computational information models. We develop this premise by noting highlights in the evolution of direct manipulation interfaces, and suggest that their selection and deployment can be tailored as visual experiments to debug and extend more complex computational models of information systems and processes. These systems and processes include those of natural systems such as arise in systems biology (e.g., modelling multiple levels of protein structure), but also in "unnatural" systems such as in the identification of hubs and authorities in artificial systems like the World Wide Web (WWW). The immediate consequence of our premise suggests that the design of direct manipulation tools should proceed with the semantics of the modelled systems in mind, so that each users' manipulations provide a new perspective on the concept of "data mining" of large data sets. This will allow users to not just expose implicit relationships, but to incrementally combine explanatory and exploratory investigation by direct manipulation, to adjust and improve the computational knowledge models that emerge from the underlying data.