Faculty of Computer Science, University of Magdeburg, Magdeburg, Germany.
Clinic of Neuroradiology, University Hospital Magdeburg, Magdeburg, Germany.
Int J Comput Assist Radiol Surg. 2017 Sep;12(9):1643-1653. doi: 10.1007/s11548-017-1523-7. Epub 2017 Jan 24.
Interaction with radiological image data and volume renderings within a sterile environment is a challenging task. Clinically established methods such as joystick control and task delegation can be time-consuming and error-prone and interrupt the workflow. New touchless input modalities may have the potential to overcome these limitations, but their value compared to established methods is unclear.
We present a comparative evaluation to analyze the value of two gesture input modalities (Myo Gesture Control Armband and Leap Motion Controller) versus two clinically established methods (task delegation and joystick control). A user study was conducted with ten experienced radiologists by simulating a diagnostic neuroradiological vascular treatment with two frequently used interaction tasks in an experimental operating room. The input modalities were assessed using task completion time, perceived task difficulty, and subjective workload.
Overall, the clinically established method of task delegation performed best under the study conditions. In general, gesture control failed to exceed the clinical input approach. However, the Myo Gesture Control Armband showed a potential for simple image selection task.
Novel input modalities have the potential to take over single tasks more efficiently than clinically established methods. The results of our user study show the relevance of task characteristics such as task complexity on performance with specific input modalities. Accordingly, future work should consider task characteristics to provide a useful gesture interface for a specific use case instead of an all-in-one solution.
在无菌环境中与放射影像学数据和容积渲染进行交互是一项具有挑战性的任务。临床中已确立的方法,如操纵杆控制和任务委托,既耗时又容易出错,并会中断工作流程。新的非接触式输入方式可能具有克服这些限制的潜力,但与已确立的方法相比,其价值尚不清楚。
我们进行了一项对比评估,分析了两种手势输入方式(Myo 手势控制臂带和 Leap Motion 控制器)与两种临床已确立的方法(任务委托和操纵杆控制)的价值。通过在实验手术室中模拟诊断神经放射血管治疗,我们对十名经验丰富的放射科医生进行了用户研究,使用两种常用的交互任务。使用任务完成时间、感知任务难度和主观工作量来评估输入方式。
总体而言,在研究条件下,临床上确立的任务委托方法表现最佳。一般来说,手势控制未能超过临床输入方法。然而,Myo 手势控制臂带在简单的图像选择任务中显示出了潜力。
新的输入方式有可能比临床确立的方法更有效地接管单个任务。我们的用户研究结果表明,特定输入方式的性能与任务特征(如任务复杂性)相关。因此,未来的工作应考虑任务特征,为特定用例提供有用的手势界面,而不是提供一刀切的解决方案。