Recurrence quantification analysis of group eye tracking data

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2018

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Tajaddini, Mani

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Eye movements can provide insight into the cognitive processes behind them. To study group cognition through investigating eye movements, we have developed a software tool (GETapp) to collect eye movement data from groups of participants performing a task on a set of computers in the scope of the Group Eye Tracking (GET) paradigm. Like many real-world systems, the data from group eye tracking experiments are non-linear. We have developed a software tool, a package for the R programming language, called the generalRQA package for analyzing these non-linear data. The methods used in this package are based on recurrences of time-series and implement a part of the theory of Recurrence Quantification Analysis (RQA). In this thesis we describe both the software tools and apply them to propose measures that differentiate between different group formation patterns in a group eye tracking search task.

Subject Keywords

Eye tracking., Cognitive neuroscience., Recurrent sequences (Mathematics).

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http://etd.lib.metu.edu.tr/upload/12622679/index.pdf
https://hdl.handle.net/11511/27507

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Graduate School of Informatics, Thesis

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Citation Formats

M. Tajaddini, “Recurrence quantification analysis of group eye tracking data,” M.S. - Master of Science, Middle East Technical University, 2018.