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Multiple studies have suggested the use of eye movement based measures as a tool to objectively monitor cognitive state and performance (e.g. de Rivecourt, Kuperus, Post, & Mulder, 2008; Stern, Boyer, Schroeder, Touchstone, & Stoliarov, 1994, 1996) due to the obvious and tight connection between eye movements and cognition as well as the predominantly visual nature of the tasks. For example, dwell time has been used as a global measure to assess workload or vigilance by evaluating points of interest and distribution of visual attention (Ahlstrom & Friedman-Berg, 2005; Alfredson, Nählinder, & Castor, 2003; Lavine, Sibert, Gokturk, & Dickens, 2002; Marshall, 2007; Stern et al., 1994, 1996). Furthermore, results from psychological research indicate that information from oculomotor parameters, i.e. fixations and saccades, can be used to assess cognitive performance (de Rivecourt et al., 2008) and fixations provide information about cognitive demands in reading (Rayner, 1998, 2009), process modelling (Pinggera et al., 2013), and visual search (Liversedge & Findlay, 2000). They are also sensitive to task specific involvement of memory (Geyer, von Mühlenen, & Müller, 2007) and may be used as indicators of hazard perception (Underwood, Chapman, Brocklehurst, Underwood, & Crundall, 2003; Velichkovsky, Rothert, Miniotas, & Dornhöfer, 2003). Saccades provide information about central activation and fatigue (Galley, 1989; Schleicher, Galley, Briest, & Galley, 2008) as well as shifting of the focus of attention (Chapman & Underwood, 1998; Underwood et al., 2003). Furthermore, gazing patterns are related to personality (e.g. Nitzschner, Nagler, Rauthmann, Steger, & Furtner, 2015; Rauthmann, Seubert, Sachse, & Furtner, 2012).