Diagnosis of spatial thinking using eye tracking and pupilometry

B. Fehringer
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Abstract

The aim of the intended dissertation study is to show the diagnostic potential of eye tracking for a spatial thinking test. To this end, a structural overview of different analyzing techniques for eye tracking data will be provided using several measures. For a new developed test for the spatial cognitive ability visualization, the results of the analyzed eye tracking data will be linked to reaction time, accuracy and associated cognitive processes. It is intended to explore which information can be obtained by pupilometry and the systematic combination of the dimensions of eye movement data (location and time). As indicators for cognitive processes and cognitive workload, the resulting gaze patterns and the computed Index of Cognitive Activity, ICA [Marshall 2002] will be connected to the participant's performance in a test of the spatial ability factor visualization. The results will contribute to the question what eye behavioral measures are able to predict participants' abilities and provide insights into associated cognitive processes.
用眼动追踪和瞳孔测量诊断空间思维
本论文研究的目的是展示眼动追踪在空间思维测试中的诊断潜力。为此,将使用几种方法对眼动追踪数据的不同分析技术进行结构概述。对于一项新开发的空间认知能力可视化测试,分析眼动追踪数据的结果将与反应时间、准确性和相关的认知过程联系起来。目的是探索瞳孔测量和眼动数据维度(位置和时间)的系统结合可以获得哪些信息。作为认知过程和认知工作量的指标,由此产生的注视模式和计算的认知活动指数(ICA) [Marshall 2002]将与参与者在空间能力因素可视化测试中的表现联系起来。这些结果将有助于解决这样一个问题,即眼睛行为测量能够预测参与者的能力,并为相关的认知过程提供见解。
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