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Reading online can be difficult due to the distractions of digital environments. In this paper we present a user study in which participants' eye gaze was recorded as they read text in a visually distracting environment. We explore two distraction mitigation signals using real-time eye gaze data to investigate whether the effects help reduce distraction rate as well as aid recovery from distractions...
The pioneering findings of Yarbus have been replicated in recent times to decipher specific tasks from eye gaze. In this study, we focused on analyzing factors that affect task decoding using Hidden Markov Models in an experiment with different pictures and tasks. Three pictures were chosen along with four questions each for the subjects to perform several visual and cognitive tasks. Areas of interest...
The task of predicting reader state from readers' eye gaze is not trivial. Whilst eye movements have long been shown to reflect the reading process, the task of predicting quantified measures of reading comprehension has been attempted with unsatisfactory results. We conducted an experiment to collect eye gaze data from participants as they read texts with differing degrees of difficulty. Participants...
We investigate eye movement measures and methods for predicting reading comprehension. This builds on previous work on factors affecting reading comprehension, namely perceived familiarity with the text content. We further investigate answer-seeking behavior and present a method for measuring and comparing this behavior. The number of fixations, number of regressions, and total fixation time are an...
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