Davies Alan, Harper Simon, Vigo Markel, Jay Caroline
University of Manchester, UK.
J Eye Mov Res. 2018 Feb 24;10(5). doi: 10.16910/jemr.10.5.11.
In this paper, we explore how a number of novel methods for visualizing and analyzing differences in eye-tracking data, including scanpath length, Levenshtein distance, and visual transition frequency, can help to elucidate the methods clinicians use for interpreting 12-lead electrocardiograms (ECGs). Visualizing the differences between multiple participants' scanpaths simultaneously allowed us to answer questions including: do clinicians fixate randomly on the ECG, or do they apply a systematic approach?; is there a relationship between interpretation accuracy and visual behavior? Results indicate that practitioners have very different visual search strategies. Clinicians who incorrectly interpret the image have greater scanpath variability than those who correctly interpret it, indicating that differences between practitioners in terms of accuracy are reflected in different eye-movement behaviors. The variation across practitioners is likely to be the result of differential training, clinical role and expertise.
在本文中，我们探讨了一些用于可视化和分析眼动追踪数据差异的新颖方法，包括扫视路径长度、莱文斯坦距离和视觉转换频率，这些方法如何有助于阐明临床医生解读12导联心电图（ECG）所使用的方法。同时可视化多个参与者扫视路径之间的差异，使我们能够回答一些问题，包括：临床医生是随机注视心电图，还是采用系统的方法？解读准确性与视觉行为之间是否存在关系？结果表明，从业者有非常不同的视觉搜索策略。错误解读图像的临床医生比正确解读图像的临床医生具有更大的扫视路径变异性，这表明从业者在准确性方面的差异反映在不同的眼动行为中。从业者之间的差异可能是由于不同的培训、临床角色和专业知识导致的。
