We used six classical Arabic poems from [75] as experimental texts. These texts had varying readability levels based on the epoca Per which they were written. Because Arabic has evolved and changed over the centuries, the two used categories of texts differed Sopra terms of their structure and word complexity.
There is still a gap Per determining how using eye movement patronato could benefit Arabic readability prediction, which requires further study. Thus, we will limit our scope to investigating the potential integration of Arabic readability assessment and gaze data. Consequently, we target the following research questions:
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Our results do have some limitations, such as the insufficiency of patronato and the number of features used and the ML models used not being state-of-the-art. No generalization could be obtained about this relationship and its strength.
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In common with other reaction time tests, eye-tracking employs two empirical theories during subjects’ gaze data acquisition [39]. First, the time duration of gaze fixation represents the cerebral effort necessary for processing; that is, prolonged or more frequent fixations imply a higher degree of cognitive focus and vice versa.
This section discusses the results of using eye-tracking measures to predict readability at the word and text levels.
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We designed the actual experiment using SR Experiment Builder software. The used textual contents shown on the screen have the following independent variables: black color on a white background and a font size of 14 points. To make reading the poems easier, we aligned the texts to incontro the common poem format Con Arabic. Because doing this was impossible when entering text, we entered the text as images instead of text when designing the experiment. The text was clear with a large font and enough spacing to be readable from the computer screen.