DocumentCode
643906
Title
The Molecular Control Toolkit: Controlling 3D molecular graphics via gesture and voice
Author
Sabir, Kenneth ; Stolte, Christian ; Tabor, Bruce ; O´Donoghue, Sean I.
Author_Institution
Garvan Inst. of Med. Res., Australia
fYear
2013
fDate
13-14 Oct. 2013
Firstpage
49
Lastpage
56
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.
Keywords
application program interfaces; gesture recognition; human computer interaction; natural sciences computing; solid modelling; speech recognition; 3D molecular graphics; 3D objects manipulation; API; Aquaria molecular graphics system; Kinect; Leap Motion devices; intuitive control; life sciences; molecular control toolkit; multiple consumer gesture recognition devices; three-dimensional molecular graphic systems; voice recognition devices; Australia; Connectors; Graphics; Keyboards; Mice; Monitoring; Three-dimensional displays;
fLanguage
English
Publisher
ieee
Conference_Titel
Biological Data Visualization (BioVis), 2013 IEEE Symposium on
Conference_Location
Atlanta, GA
Type
conf
DOI
10.1109/BioVis.2013.6664346
Filename
6664346
Link To Document