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TangiWheel: 一个支持混合输入方式的桌面显示器的集合操作控件

TangiWheel: A Widget for Manipulating Collections on Tabletop Displays Supporting Hybrid Input Modality

  • 摘要: 本文提出了一个用于桌面显示器的集合操作控件,称之为“TangiWheel”。该实现允许灵活选择多点触摸或实体交互甚至混合方案,以便更好地适应用户选择和方便用户。我们将TangiWheel的不同方面和特点与其他现有集合操作控件作了比较。研究发现,TangiWheel是第一个支持混合输入方式的控件,在触摸和实体交互方式间具有高度相似性。为了更好地理解单个用户执行的复杂任务中的实体表面界面,我们进行了多项实验来评估每种输入方案中所使用的技术(例如,涉及典型主从探索模式)。结果显示,尽管需要处理更多数量的交互,但在要求大量采集和基本操作任务(如建立位置和方向)情形中,实体方式要明显优于多点触摸方式。然而,当用户必须执行多个探索和选择操作,并且这些操作不涉及前述的基本操作任务时,例如集合被固定在界面布局中时,在动作所需要的时间和次数上,触摸方式要显著优于实体方式。最后,当需要更具弹性的集合布局或更复杂的额外插入或移动操作时,混合和实体方式明显优于基于手指触摸的交互。

     

    Abstract: In this paper we present TangiWheel, a collection manipulation widget for tabletop displays. Our implementation is flexible, allowing either multi-touch or interaction, or even a hybrid scheme to better suit user choice and convenience. Different TangiWheel aspects and features are compared with other existing widgets for collection manipulation. The study reveals that TangiWheel is the first proposal to support a hybrid input modality with large resemblance levels between touch and tangible interaction styles. Several experiments were conducted to evaluate the techniques used in each input scheme for a better understanding of tangible surface interfaces in complex tasks performed by a single user (e.g., involving a typical master-slave exploration pattern). The results show that tangibles perform significantly better than fingers, despite dealing with a greater number of interactions, in situations that require a large number of acquisitions and basic manipulation tasks such as establishing location and orientation. However, when users have to perform multiple exploration and selection operations that do not require previous basic manipulation tasks, for instance when collections are fixed in the interface layout, touch input is significantly better in terms of required time and number of actions. Finally, when a more elastic collection layout or more complex additional insertion or displacement operations are needed, the hybrid and tangible approaches clearly outperform finger-based interactions.

     

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