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Predicting a reader's rating of text quality is a challenging task thatinvolves estimating different subjective aspects of the text, like structure,clarity, etc. Such subjective aspects are better handled using cognitiveinformation. One such source of cognitive information is gaze behaviour. Inthis paper, we show that gaze behaviour does indeed help in effectivelypredicting the rating of text quality. To do this, we first model text qualityas a function of three properties - organization, coherence and cohesion. Then,we demonstrate how capturing gaze behaviour helps in predicting each of theseproperties, and hence the overall quality, by reporting improvements obtainedby adding gaze features to traditional textual features for score prediction.We also hypothesize that if a reader has fully understood the text, thecorresponding gaze behaviour would give a better indication of the assignedrating, as opposed to partial understanding. Our experiments validate thishypothesis by showing greater agreement between the given rating and thepredicted rating when the reader has a full understanding of the text.

Eyes are the Windows to the Soul: Predicting the Rating of Text Quality Using Gaze Behaviour