Quality Checking Eye Movement Data for the Covert Detection of Mindless Reading

Abstract

While reading and/or doing repetitive tasks attention tends to shift from task-related to task- unrelated thoughts, we call this mind wandering. Past research has shown that mind wandering is anti-correlated with comprehension. We have created an experiment that requires a participant to read a passage while an eye tracker traces their eye movements. We will use the tracked eye movements to calculate a correlation between features of eye movements and comprehension accuracy. To ensure high quality data, we will quality check the data collected, by organizing and plotting it, to conclude if the data merits inclusion in the final analysis.

Primary Faculty Mentor Name

David Jangraw

Graduate Student Mentors

Haorui Sun, George Spearing

Student Collaborators

Blythe Hattenbatch

Status

Undergraduate

Student College

College of Engineering and Mathematical Sciences

Program/Major

Biomedical Engineering

Primary Research Category

Engineering & Physical Sciences

Secondary Research Category

Social Sciences

Tertiary Research Category

Health Sciences

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Quality Checking Eye Movement Data for the Covert Detection of Mindless Reading

While reading and/or doing repetitive tasks attention tends to shift from task-related to task- unrelated thoughts, we call this mind wandering. Past research has shown that mind wandering is anti-correlated with comprehension. We have created an experiment that requires a participant to read a passage while an eye tracker traces their eye movements. We will use the tracked eye movements to calculate a correlation between features of eye movements and comprehension accuracy. To ensure high quality data, we will quality check the data collected, by organizing and plotting it, to conclude if the data merits inclusion in the final analysis.