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Is apparent fixational drift in eye-tracking data due to filters or eyeball rotation?
Eye trackers are sometimes used to study the miniature eye movements such as drift that occur while observers fixate a static location on a screen. Specifically, analysis of such eye-tracking data can be performed by examining the temporal spectrum composition of the recorded gaze position signal, a...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7880979/ https://www.ncbi.nlm.nih.gov/pubmed/32705655 http://dx.doi.org/10.3758/s13428-020-01414-3 |
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author | Niehorster, Diederick C. Zemblys, Raimondas Holmqvist, Kenneth |
author_facet | Niehorster, Diederick C. Zemblys, Raimondas Holmqvist, Kenneth |
author_sort | Niehorster, Diederick C. |
collection | PubMed |
description | Eye trackers are sometimes used to study the miniature eye movements such as drift that occur while observers fixate a static location on a screen. Specifically, analysis of such eye-tracking data can be performed by examining the temporal spectrum composition of the recorded gaze position signal, allowing to assess its color. However, not only rotations of the eyeball but also filters in the eye tracker may affect the signal’s spectral color. Here, we therefore ask whether colored, as opposed to white, signal dynamics in eye-tracking recordings reflect fixational eye movements, or whether they are instead largely due to filters. We recorded gaze position data with five eye trackers from four pairs of human eyes performing fixation sequences, and also from artificial eyes. We examined the spectral color of the gaze position signals produced by the eye trackers, both with their filters switched on, and for unfiltered data. We found that while filtered data recorded from both human and artificial eyes were colored for all eye trackers, for most eye trackers the signal was white when examining both unfiltered human and unfiltered artificial eye data. These results suggest that color in the eye-movement recordings was due to filters for all eye trackers except the most precise eye tracker where it may partly reflect fixational eye movements. As such, researchers studying fixational eye movements should be careful to examine the properties of the filters in their eye tracker to ensure they are studying eyeball rotation and not filter properties. |
format | Online Article Text |
id | pubmed-7880979 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-78809792021-02-18 Is apparent fixational drift in eye-tracking data due to filters or eyeball rotation? Niehorster, Diederick C. Zemblys, Raimondas Holmqvist, Kenneth Behav Res Methods Article Eye trackers are sometimes used to study the miniature eye movements such as drift that occur while observers fixate a static location on a screen. Specifically, analysis of such eye-tracking data can be performed by examining the temporal spectrum composition of the recorded gaze position signal, allowing to assess its color. However, not only rotations of the eyeball but also filters in the eye tracker may affect the signal’s spectral color. Here, we therefore ask whether colored, as opposed to white, signal dynamics in eye-tracking recordings reflect fixational eye movements, or whether they are instead largely due to filters. We recorded gaze position data with five eye trackers from four pairs of human eyes performing fixation sequences, and also from artificial eyes. We examined the spectral color of the gaze position signals produced by the eye trackers, both with their filters switched on, and for unfiltered data. We found that while filtered data recorded from both human and artificial eyes were colored for all eye trackers, for most eye trackers the signal was white when examining both unfiltered human and unfiltered artificial eye data. These results suggest that color in the eye-movement recordings was due to filters for all eye trackers except the most precise eye tracker where it may partly reflect fixational eye movements. As such, researchers studying fixational eye movements should be careful to examine the properties of the filters in their eye tracker to ensure they are studying eyeball rotation and not filter properties. Springer US 2020-07-23 2021 /pmc/articles/PMC7880979/ /pubmed/32705655 http://dx.doi.org/10.3758/s13428-020-01414-3 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Niehorster, Diederick C. Zemblys, Raimondas Holmqvist, Kenneth Is apparent fixational drift in eye-tracking data due to filters or eyeball rotation? |
title | Is apparent fixational drift in eye-tracking data due to filters or eyeball rotation? |
title_full | Is apparent fixational drift in eye-tracking data due to filters or eyeball rotation? |
title_fullStr | Is apparent fixational drift in eye-tracking data due to filters or eyeball rotation? |
title_full_unstemmed | Is apparent fixational drift in eye-tracking data due to filters or eyeball rotation? |
title_short | Is apparent fixational drift in eye-tracking data due to filters or eyeball rotation? |
title_sort | is apparent fixational drift in eye-tracking data due to filters or eyeball rotation? |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7880979/ https://www.ncbi.nlm.nih.gov/pubmed/32705655 http://dx.doi.org/10.3758/s13428-020-01414-3 |
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