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评估用于堆栈模式查看的交互技术。

Evaluating interaction techniques for stack mode viewing.

作者信息

Atkins M Stella, Fernquist Jennifer, Kirkpatrick Arthur E, Forster Bruce B

机构信息

School of Computing Science, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada.

出版信息

J Digit Imaging. 2009 Aug;22(4):369-82. doi: 10.1007/s10278-008-9140-1. Epub 2008 Jul 23.

Abstract

Three interaction techniques were evaluated for scrolling stack mode displays of volumetric data. Two used a scroll-wheel mouse: one used only the wheel, while another used a "click and drag" technique for fast scrolling, leaving the wheel for fine adjustments. The third technique used a Shuttle Xpress jog wheel. In a within-subjects design, nine radiologists searched stacked images for simulated hyper-intense regions on brain, knee, and thigh MR studies. Dependent measures were speed, accuracy, navigation path, and user preference. The radiologists considered the task realistic. They had high inter-subject variability in completion times, far larger than the differences between techniques. Most radiologists (eight out of nine) preferred familiar mouse-based techniques. Most participants scanned the data in two passes, first locating anomalies, then scanning for omissions. Participants spent a mean 10.4 s/trial exploring anomalies, with only mild variation between participants. Their rates of forward navigation searching for anomalies varied much more. Interaction technique significantly affected forward navigation rate (scroll wheel 5.4 slices/s, click and drag 9.4, and jog wheel 6.9). It is not clear what constrained the slowest navigators. The fastest navigator used a unique strategy of moving quickly just beyond an anomaly, then backing up. Eight naïve students performed a similar protocol. Their times and variability were similar to the radiologists, but more (three out of eight) students preferred the jog wheel. It may be worthwhile to introduce techniques such as the jog wheel to radiologists during training, and several techniques might be provided on workstations, allowing individuals to choose their preferred method.

摘要

对三种交互技术进行了评估,以用于体积数据的滚动堆栈模式显示。其中两种技术使用滚轮鼠标:一种仅使用滚轮,另一种使用“点击并拖动”技术进行快速滚动,而滚轮用于微调。第三种技术使用了Shuttle Xpress jog wheel。在一项被试内设计中,九名放射科医生在脑部、膝盖和大腿的磁共振成像研究的堆叠图像中搜索模拟的高强度区域。相关测量指标包括速度、准确性、导航路径和用户偏好。放射科医生认为该任务具有现实意义。他们在完成时间上存在较高的个体间差异,远大于不同技术之间的差异。大多数放射科医生(九人中的八人)更喜欢熟悉的基于鼠标的技术。大多数参与者分两遍扫描数据,首先定位异常,然后扫描遗漏情况。参与者平均每次试验花费10.4秒探索异常,参与者之间只有轻微差异。他们向前导航搜索异常的速度差异更大。交互技术显著影响向前导航速度(滚轮为每秒5.4层,点击并拖动为9.4层,jog wheel为6.9层)。尚不清楚是什么限制了速度最慢的导航者。最快的导航者采用了一种独特的策略,即快速移动到异常之外,然后后退。八名新手学生执行了类似的方案。他们的时间和变异性与放射科医生相似,但更多学生(八人中的三人)更喜欢jog wheel。在培训期间向放射科医生介绍诸如jog wheel之类的技术可能是值得的,并且可以在工作站上提供多种技术,让个人选择他们喜欢的方法。

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