Abstract
This work presents a study of an extensive set of 101 categories of eye movement features from three types of eye movement events: fixations, saccades, and post-saccadic oscillations. We present a unified framework of methods for the extraction of features that describe the temporal, positional and dynamic characteristics of eye movements. We perform statistical analysis of feature values by employing eye movement data from a normative population of 298 subjects, recorded during a text reading task. We present overall measures for the central tendency and variability of feature values, and we quantify the test-retest reliability of features using either the Intraclass Correlation Coefficient (for normally distributed and normalized features) or Kendall’s coefficient of concordance (for non-normally distributed features). Finally, for the case of normally distributed and normalized features we additionally perform factor analysis and provide interpretations of the resulting factors. The presented methods and analysis can provide a valuable tool for researchers in various fields that explore eye movements, such as in behavioral studies, attention and cognition research, medical research, biometric recognition, and humancomputer interaction.
Highlights
The extraction of eye movement features for modeling the structure and functionality of the oculomotor system is a vital task in many fields of research
The assessment of reliability is important because it can serve two purposes: a) it reveals the stability of measurements taken on different occasions, and b) it can be used as a proxy of the relative variability of feature values between subjects and sessions, indicating the relative discriminatory power of each feature
I., Friedman, L., & Komogortsev, O. (2018) Study of an Extensive Set of Eye Movement Features: Extraction Methods and Statistical Analysis In Table 5, we show the values for the post-saccadic oscillation features
Summary
The extraction of eye movement features for modeling the structure and functionality of the oculomotor system is a vital task in many fields of research. Human eye movements can serve as an investigation tool in cognitive and behavioral studies, given their inherent connection to the guiding mechanisms of visual attention. The connections of eye movements and the performed cognitive task was systematically investigated in (Yarbus, 1967). The advances in eye-tracking technology, allowed for the adoption of eye movement analysis in studies of History: Received July 07, 2017; Published March 20, 2018 Citation: Rigas, I., Friedman, L. Study of an Extensive Set of Eye Movement Features: Extraction Methods and Statistical Analysis.
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