Literature DB >> 32705655

Is apparent fixational drift in eye-tracking data due to filters or eyeball rotation?

Diederick C Niehorster1, Kenneth Holmqvist2,3,4, Raimondas Zemblys5.   

Abstract

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.

Entities:  

Keywords:  Drift; Eye tracking; Fixational eye movements; Power spectrum; Signal color

Mesh:

Year:  2021        PMID: 32705655      PMCID: PMC7880979          DOI: 10.3758/s13428-020-01414-3

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


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Authors:  Harold E Bedell; Scott B Stevenson
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  3 in total

1.  Eye tracking: empirical foundations for a minimal reporting guideline.

Authors:  Kenneth Holmqvist; Saga Lee Örbom; Ignace T C Hooge; Diederick C Niehorster; Robert G Alexander; Richard Andersson; Jeroen S Benjamins; Pieter Blignaut; Anne-Marie Brouwer; Lewis L Chuang; Kirsten A Dalrymple; Denis Drieghe; Matt J Dunn; Ulrich Ettinger; Susann Fiedler; Tom Foulsham; Jos N van der Geest; Dan Witzner Hansen; Samuel B Hutton; Enkelejda Kasneci; Alan Kingstone; Paul C Knox; Ellen M Kok; Helena Lee; Joy Yeonjoo Lee; Jukka M Leppänen; Stephen Macknik; Päivi Majaranta; Susana Martinez-Conde; Antje Nuthmann; Marcus Nyström; Jacob L Orquin; Jorge Otero-Millan; Soon Young Park; Stanislav Popelka; Frank Proudlock; Frank Renkewitz; Austin Roorda; Michael Schulte-Mecklenbeck; Bonita Sharif; Frederick Shic; Mark Shovman; Mervyn G Thomas; Ward Venrooij; Raimondas Zemblys; Roy S Hessels
Journal:  Behav Res Methods       Date:  2022-04-06

2.  Characterizing gaze position signals and synthesizing noise during fixations in eye-tracking data.

Authors:  Diederick C Niehorster; Raimondas Zemblys; Tanya Beelders; Kenneth Holmqvist
Journal:  Behav Res Methods       Date:  2020-12

3.  Small head movements increase and colour noise in data from five video-based P-CR eye trackers.

Authors:  Kenneth Holmqvist; Saga Lee Örbom; Raimondas Zemblys
Journal:  Behav Res Methods       Date:  2021-08-06
  3 in total

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