Abstract
Most research on eye movements in reading is based on the implicit assumption that every saccade lands on an intended target word. The validity of this assumption requires that oculomotor errors are small compared to the spatial extension of words. During reading, oculomotor errors not only produce considerable variance of within word landing positions, but can even lead to mislocated fixations, that is fixations on unintended words. Recently, a new quantitative approach for the estimation of the proportion of mislocated fixations from experimental data is proposed. This chapter presents an advanced algorithm that iteratively decomposes observed landing position distributions into mislocated and well-located contributions. The algorithm is checked with numerical simulations of the SWIFT model. The chapter also outlines the link between mislocated fixations and the Inverted-Optimal Viewing Position (IOVP) effect.
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