Eye Movements During Reading Can Predict Deep Comprehension

EasyChair Preprint 3838

Abstract

It is known that eye movements during reading reflect various reading processes as well as reader skill and attentiveness, but there is little work relating eye movements to reading comprehension outcomes. This work represents a novel step by showing that deep comprehension assessed by open-ended self-explanations during reading (r=0.39, p<0.001) can be predicted from eye movements in a person-independent manner. Our results have implications for theories of reading and for the design of real-time interventions.

Keyphrases: comprehension, eye movement, gaze tracking, machine learning, reading, reading comprehension, self-explanation

@booklet{EasyChair:3838,
  author    = {Rosy Southwell and Caitlin Mills and Sidney D'Mello},
  title     = {Eye Movements During Reading Can Predict Deep Comprehension},
  howpublished = {EasyChair Preprint 3838},
  year      = {EasyChair, 2020}}