Human behavior can be analyzed using Eye tracker. Thus, it is used for revealing the cognitive processes for object identification. Cognitive process is the mental ability for identification of what our eyes see. Vision with 20/20 sometimes may not reveal the purpose. In this study, ambiguous images are taken to observe the cognitive process in participants. During the perception of an object, a participant uses goal-directed search for identifying various objects. Dense gaze coordinates provide the region of interests and are considered as the target regions for object identification in ambiguous images. These data are used to develop cognitive models for identification of ambiguous images. Features such as, eye fixation, pupil diameter, fixation durations, moments of inertia, and polar moments are used for developing the cognitive model. Three different feature selection methods along with six different classifiers are used for the task of classification. The selection of a subset of features using hypothesis testing performed well, compared to principal component analysis based dimensionality reduction method. This study could be used in detecting whether a participants is lying or not while perceiving an ambiguous image.

中文翻译：

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一种使用眼动仪开发用于模糊图像识别的认知模型的新技术

可以使用眼动仪分析人类行为。因此，它用于揭示对象识别的认知过程。认知过程是识别我们的眼睛所见的心理能力。20/20 的愿景有时可能无法揭示目的。在这项研究中，拍摄模糊图像来观察参与者的认知过程。在感知对象期间，参与者使用目标导向搜索来识别各种对象。密集注视坐标提供感兴趣的区域，并被视为模糊图像中对象识别的目标区域。这些数据用于开发识别模糊图像的认知模型。诸如眼睛注视、瞳孔直径、注视持续时间、惯性矩和极矩等特征用于开发认知模型。三种不同的特征选择方法以及六种不同的分类器用于分类任务。与基于主成分分析的降维方法相比，使用假设检验选择特征子集表现良好。这项研究可用于检测参与者在感知模糊图像时是否在说谎。