Designs and Algorithms to Map Eye Tracking Data with Dynamic Multielement Moving Objects
Joint Authors
McClung, Sarah N.
Kang, Ziho
Mandal, Saptarshi
Crutchfield, Jerry
Millan, Angel
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-20
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
Design concepts and algorithms were developed to address the eye tracking analysis issues that arise when (1) participants interrogate dynamic multielement objects that can overlap on the display and (2) visual angle error of the eye trackers is incapable of providing exact eye fixation coordinates.
These issues were addressed by (1) developing dynamic areas of interests (AOIs) in the form of either convex or rectangular shapes to represent the moving and shape-changing multielement objects, (2) introducing the concept of AOI gap tolerance (AGT) that controls the size of the AOIs to address the overlapping and visual angle error issues, and (3) finding a near optimal AGT value.
The approach was tested in the context of air traffic control (ATC) operations where air traffic controller specialists (ATCSs) interrogated multiple moving aircraft on a radar display to detect and control the aircraft for the purpose of maintaining safe and expeditious air transportation.
In addition, we show how eye tracking analysis results can differ based on how we define dynamic AOIs to determine eye fixations on moving objects.
The results serve as a framework to more accurately analyze eye tracking data and to better support the analysis of human performance.
American Psychological Association (APA)
Kang, Ziho& Mandal, Saptarshi& Crutchfield, Jerry& Millan, Angel& McClung, Sarah N.. 2016. Designs and Algorithms to Map Eye Tracking Data with Dynamic Multielement Moving Objects. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-18.
https://search.emarefa.net/detail/BIM-1099818
Modern Language Association (MLA)
Kang, Ziho…[et al.]. Designs and Algorithms to Map Eye Tracking Data with Dynamic Multielement Moving Objects. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-18.
https://search.emarefa.net/detail/BIM-1099818
American Medical Association (AMA)
Kang, Ziho& Mandal, Saptarshi& Crutchfield, Jerry& Millan, Angel& McClung, Sarah N.. Designs and Algorithms to Map Eye Tracking Data with Dynamic Multielement Moving Objects. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-18.
https://search.emarefa.net/detail/BIM-1099818
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099818