Evaluating the human ongoing visual search performance by eye tracking application and sequencing tests

Authors:
Giacomo Veneri;Elena Pretegiani;Francesca Rosini;Pamela Federighi;Antonio Federico;Alessandra Rufa
Affiliations:
Eye tracking & Vision Applications Lab, University of Siena, Italy and Department of Neurological Neurosurgical and Behavioral Science, University of Siena, Italy and Etruria Innovazione, Italy;Department of Neurological Neurosurgical and Behavioral Science, University of Siena, Italy;Department of Neurological Neurosurgical and Behavioral Science, University of Siena, Italy;Eye tracking & Vision Applications Lab, University of Siena, Italy and Department of Neurological Neurosurgical and Behavioral Science, University of Siena, Italy;Department of Neurological Neurosurgical and Behavioral Science, University of Siena, Italy;Eye tracking & Vision Applications Lab, University of Siena, Italy and Department of Neurological Neurosurgical and Behavioral Science, University of Siena, Italy
Venue:
Computer Methods and Programs in Biomedicine
Year:
2012

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Abstract

Abstract: 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.