A heuristic-based approach for systematic error correction of gaze data for reading
A heuristic-based approach for systematic error correction of gaze data for reading
复制标题
一种基于启发式的阅读注视数据系统误差校正方法
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
P. Bhattacharyya
中科院分区：
文献类型：
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作者：
Abhijit Mishra;M. Carl;P. Bhattacharyya
在眼动跟踪研究中，用户的预期注视位置与眼睛采样器捕获的位置之间的时间恒定偏差被称为系统误差。系统误差是经常发生的，并且给数据增加了很多噪音。手动纠正这种差异也需要花费大量时间和精力。在本文中，我们提出并验证了一种基于几何的技术，以减少这种错误与凝视固定转移到他们的真实位置。这种技术专门适用于阅读任务，其中视觉对象（字符）以顺序的方式放置在网格上，这是心理语言学研究中经常出现的情况。
In eye-tracking research, temporally constant deviations between users’ intended gaze location and location captured by eye-samplers are referred to as systematic error. Systematic errors are frequent and add a lot of noise to the data. It also takes a lot of time and effort to manually correct such disparities. In this paper, we propose and validate a heuristic-based technique to reduce such errors associated with gaze fixations by shifting them to their true locations. This technique is exclusively applicable for reading tasks where the visual objects (characters) are placed on a grid in a sequential manner; which is often the case in psycholinguistic studies.