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Empirical Heatmap Decomposition: A Fresh Look on Gaze Behavior

Authors:
Saad Mohammed Hasan Al-Baddai
Karema Al-Subari
Elmar Lang
Barbara Ströhl
Bernd Ludwig

Keywords: Empirical Mode Decomposition; Eye tracking; Gaze Behavior; Sifting process

Abstract:
The motivation for analyzing a person’s gaze be- havior stems from the eye-mind-hypothesis that correlates the observation of content by viewing it with its cognitive comprehension. A standard approach to quantitative analysis of gaze behavior is to analyze so called heatmaps generated by an eye tracker. This technical process is subject to noise. In order to compensate it, state-of-the-art eye tracking software smooths raw data using linear filters. In this paper, we present an alternative method based on interpolation. We provide empirical data that our method reproduces the actual gaze behavior more precisely. Furthermore, we introduce Empirical Heatmap Decomposition (EHD) to cluster eye movements into classes of similar frequency and amplitude. For evaluation, we present an analysis of gaze data that illustrates how EHD can uncover details in the observed gaze behavior that state-of-the-art heatmaps do not visualize.

Pages: 25 to 31

Copyright: Copyright (c) IARIA, 2019

Publication date: February 24, 2019

Published in: conference

ISSN: 2308-4138

ISBN: 978-1-61208-686-6

Location: Athens, Greece

Dates: from February 24, 2019 to February 28, 2019