Eye Tracking & Vision Applications Lab, Department of Neurological Neurosurgical and Behavioral Science, University of Siena, Viale Bracci 2, Siena, Italy.
Comput Methods Programs Biomed. 2012 Sep;107(3):468-77. doi: 10.1016/j.cmpb.2011.02.006. Epub 2011 Mar 31.
Human visual search is an everyday activity that enables humans to explore the real world. Given the visual input, during a visual search, it is necessary to select some aspects of input to shift the gaze to next target. The aim of the study is to develop a mathematical method able to evaluate the visual selection process during the execution of a high cognitively demanding task such as the trial making test part B (TMT). The TMT is a neuro-psychological instrument where numbers and letters should be connected to each other in numeric and alphabetic order. We adapted the TMT to an eye-tracking version, and we used a vector model, the "eight pointed star" (8PS), to discover how selection (fixations) guides next exploration (saccades) and how human top-down factors interact with bottom-up saliency. The results reported a trend to move away from the last fixations correlated to the number of distracters and the execution performance.
人类视觉搜索是一种日常活动，使人类能够探索真实世界。在视觉搜索中，给定视觉输入，有必要选择输入的某些方面来将注视转移到下一个目标。本研究的目的是开发一种数学方法，能够评估在执行高认知要求任务（如试验制造测试部分 B（TMT））期间的视觉选择过程。TMT 是一种神经心理学工具，其中数字和字母应该按数字和字母顺序相互连接。我们将 TMT 改编为眼动追踪版本，并使用向量模型“八叉星”（8PS）来发现选择（注视）如何引导下一次探索（扫视），以及人类自上而下的因素如何与自下而上的显着性相互作用。结果报告了一种趋势，即远离与分心数量和执行性能相关的最后注视。
