On the Structure of Measurement Noise in Eye-Tracking
Author(s) -
Charles A. Coey,
Sebastian Wallot,
Michael J. Richardson,
Guy Van Orden
Publication year - 2012
Publication title -
journal of eye movement research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.25
H-Index - 20
ISSN - 1995-8692
DOI - 10.16910/jemr.5.4.5
Subject(s) - spurious relationship , fractal , multifractal system , eye movement , eye tracking , artificial intelligence , contrast (vision) , human eye , variation (astronomy) , uncorrelated , computer science , computer vision , noise (video) , pattern recognition (psychology) , mathematics , statistics , physics , machine learning , image (mathematics) , mathematical analysis , astrophysics
Past research has discovered fractal structure in eye movement variability and interpreted this result as having theoretical ramifications. No research has, however, investigated how properties of the eye-tracking instrument might affect the structure of measurement variability. The current experiment employed fractal and multifractal methods to investigate whether an eye-tracker produced intrinsic random variation and how features of the data recording procedure affected the structure measurement variability. The results of this experiment revealed that the structure of variation from a fake eye was indeed random and uncorrelated in contrast to the fractal structure from a fixated, real human eye. Moreover, the results demonstrated that data-averaging generally changes the structure of variation, introducing spurious structure into eye movement variability.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom