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Eyetracking: A Novel Tool for Evaluating Learning

Brockman, Michael James
http://rave.ohiolink.edu/etdc/view?acc_num=osu1523987188501883

Abstract Details

2018, Master of Science, Ohio State University, Public Health.
There exists an immense need for objective cognitive performance evaluation methods. The current standard-of-care for diagnosing cognitive fluctuations involves evaluation tests, from simple psychological experiments to mini-mental state exams. Though these exams have the capability of tracking an individual’s cognitive performance at a given time with satisfactory performance, the accuracy of these tests can be hampered by confounds that mask true cognitive performance (Tombaugh & McIntyre 1992). For example, the results of a mini-mental state examination screening for Alzheimer’s disease linked dementia may vary based on the education level, cultural background, and/or the general wellness of the patient (Brucki & Nitrini, 2010). This experiment explores the possibility of leveraging both eyetracking technology and machine learning as a novel method for an objective cognitive performance evaluation. Forty-nine students were individually given a fifteen-question pre-test, presented with five lecture videos containing the pre-test answers while their eyes movements were tracked, and concluding with an identical fifteen-question post-test. After the analysis, we were able to predict if each student forgot, knew ahead of time, learned, or did not learn the answers to the post-test. This was accomplished by utilizing supervised support vector machine learning with cross-validation of each individual’s eye locations during the time the answer to the question was presented in the video.
Per Sederberg, Ph.D. (Advisor)
Courtney Hebert, M.D. (Advisor)
James Chen, M.D. (Committee Member)
Susan Olivo-Marston, Ph.D. (Committee Member)
59 p.
Bioinformatics; Public Health

Recommended Citations

Citations

  • Brockman, M. J. (2018). Eyetracking: A Novel Tool for Evaluating Learning [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1523987188501883

    APA Style (7th edition)

  • Brockman, Michael. Eyetracking: A Novel Tool for Evaluating Learning. 2018. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1523987188501883.

    MLA Style (8th edition)

  • Brockman, Michael. "Eyetracking: A Novel Tool for Evaluating Learning." Master's thesis, Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1523987188501883

    Chicago Manual of Style (17th edition)

osu1523987188501883
320
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This open access ETD is published by The Ohio State University and OhioLINK.