The Molecular Control Toolkit: Controlling 3D molecular graphics via gesture and voice

Kenneth Sabir, C. Stolte, B. Tabor, S. O’Donoghue
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引用次数: 46

Abstract

Three-dimensional (3D) molecular graphic systems are widely used in the life sciences, both for research and communication. These systems need to enable a rich set of 3D operations, including three-axis rotation and translation, selection of parts of macromolecules, and the ability to redefine the center of rotation. As a result, graphical interfaces for these systems typically require users to learn complex keyboard and mouse combinations. This can be a significant barrier for new or occasional users, and even for experts, precise control of 3D molecular structures can be challenging. To help address these challenges, we developed the Molecular Control Toolkit to support multiple consumer gesture and voice recognition devices, and provide an API that allows adaption to multiple molecular graphics systems. The toolkit allows intuitive control, almost as if users are directly manipulating 3D objects in their hands. We applied the toolkit to the Kinect and Leap Motion devices, and to the Aquaria molecular graphics system. We did a pilot user study with 18 life scientists to test the resulting system in different scenarios. Overall, users gave quite favorable ratings to using the Kinect and Leap Motion gesture devices to control molecular graphics, even though these devices initially proved less efficient for common 3D control tasks, compared to the more familiar mouse/keyboard. To our knowledge, this is the first toolkit for macromolecular graphics that supports multiple devices with a set of controls sufficiently rich to be useful in the day-to-day work of a broad range of life scientists. The Molecular Control Toolkit and Aquaria can be accessed at http://aquaria.ws.
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分子控制工具包:通过手势和语音控制3D分子图形
三维(3D)分子图形系统广泛应用于生命科学的研究和交流。这些系统需要支持丰富的3D操作,包括三轴旋转和平移,大分子部分的选择,以及重新定义旋转中心的能力。因此,这些系统的图形界面通常要求用户学习复杂的键盘和鼠标组合。对于新手或偶尔使用的用户来说,这可能是一个重大障碍,甚至对于专家来说,精确控制3D分子结构可能具有挑战性。为了帮助解决这些挑战,我们开发了分子控制工具包来支持多种消费者手势和语音识别设备,并提供了一个允许适应多种分子图形系统的API。该工具包允许直观的控制,几乎就像用户直接操纵他们手中的3D对象一样。我们将工具包应用于Kinect和Leap Motion设备,以及Aquaria分子图形系统。我们和18位生命科学家一起做了一个试点用户研究,在不同的场景下测试这个系统。总体而言,用户对使用Kinect和Leap Motion手势设备控制分子图形的评价相当高,尽管这些设备在执行常见的3D控制任务时,与更熟悉的鼠标/键盘相比,效率较低。据我们所知,这是第一个支持多种设备的大分子图形工具包,具有一组足够丰富的控件,可用于广泛的生命科学家的日常工作。分子控制工具包和水族馆可以访问http://aquaria.ws。
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