Reading Your Mind Through Your Eyes: Using Eye Scan Patterns and Machine Learning to Predict Number Choice

dc.contributorSheth, Bhavin R.
dc.contributor.authorJohn, Sharon G.
dc.date.accessioned2019-01-03T17:49:38Z
dc.date.available2019-01-03T17:49:38Z
dc.date.issued2018-10-18
dc.description.abstractEye tracking technology measures eye movements in real time. Studies have shown that eye movement patterns can express spatial cognitive thoughts, confirming the existence of the eye-cognition link. The purpose of this experiment is to determine a correlation between spatial cognition and number processing. If a correlation exists, features suggesting this correlation will be identified to predict a subject’s response using machine learning. Fifty subjects were asked to look at a screen and respond to the following auditory prompt: “Think of a number x/y/z and say it out loud”. These intervals were named Number Line, Pre-prompt, Mid-prompt, and Post-prompt. A predicted model was created by training a Random Forest (RF) Algorithm. Results indicate a strong correlation between saccade vector and participants’ response, suggesting subjects made saccades toward the direction of response in mind. A strong correlation was also identified between Fixation X and participants’ response as these fixations were made in relative locations of the given numbers on a number line. Test accuracy of 90.5% for Trial 1 was obtained with 50 trees. All ten trials resulted in a mean accuracy of 89%. Our future plans involve determining the existence of a vertical component of spatial cognition.
dc.description.departmentHonors College
dc.description.departmentElectrical and Computer Engineering, Department of
dc.identifier.urihttp://hdl.handle.net/10657/3887
dc.language.isoen_US
dc.rightsThe author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.titleReading Your Mind Through Your Eyes: Using Eye Scan Patterns and Machine Learning to Predict Number Choice
dc.typePoster

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
John_Sharon_2018URD.pdf
Size:
503.3 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.76 KB
Format:
Plain Text
Description: