The goal of eye movement measurement and analysis is to gain insight into the viewer's attentive behavior. As can be seen in Figure 8.5 at the end of Chapter 8, raw eye movement data, or perhaps data processed to a certain extent such as Gaze Intersection Point (GIP) data in virtual reality, may appear to be informative, however, without further analysis, raw data are for the most part meaningless. Although intuitively (and from the knowledge of the task), it is possible to guess where the subject happened to be paying attention in the environment (over the internal calibration points, as she or he was instructed), it is not possible to make any further quantitative inferences about the eye movement data without further analysis. A method is needed to identify fixations; those eye movements that best indicate the locations of the viewer's (overt) visual attention.
CITATION STYLE
Duchowski, A. (2007). Eye Movement Analysis. In Eye Tracking Methodology (pp. 137–153). Springer London. https://doi.org/10.1007/978-1-84628-609-4_12
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