Literature DB >> 25033759

Qualitative tests of remote eyetracker recovery and performance during head rotation.

Roy S Hessels1, Tim H W Cornelissen, Chantal Kemner, Ignace T C Hooge.   

Abstract

What are the decision criteria for choosing an eyetracker? Often the choice is based on specifications by the manufacturer of the validity (accuracy) and reliability (precision) of measurements that can be achieved using a particular eyetracker. These specifications are mostly achieved under optimal conditions-for example, by using an artificial eye or trained participants fixed in a chinrest. Research, however, does not always take place in optimal conditions: For instance, when investigating eye movements in infants, school children, and patient groups with disorders such as attention-deficit hyperactivity disorder, it is practically impossible to restrict movement. We modeled movements often seen in infant research in two behaviors: (1) looking away from and back to the screen, to investigate eyetracker recovery, and (2) head orientations, to investigate eyetracker performance with nonoptimal orientations of the eyes. We investigated how eight eyetracking setups by three manufacturers (SMI, Tobii, and LC Technologies) coped with these modeled behaviors in adults. We report that the tested SMI eyetrackers dropped in sampling frequency when the eyes were not visible to the eyetracker, whereas the other systems did not, and discuss the potential consequences thereof. Furthermore, we report that the tested eyetrackers varied in their rates of data loss and systematic offsets during shifted head orientations. We conclude that (prospective) eye-movement researchers who cannot restrict movement or nonoptimal head orientations in their participants might benefit from testing their eyetracker in nonoptimal conditions. Additionally, researchers should be aware of the data loss and inaccuracies that might result from nonoptimal head orientations.

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Year:  2015        PMID: 25033759     DOI: 10.3758/s13428-014-0507-6

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


  21 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.  Comparing Automatic Eye Tracking and Manual Gaze Coding Methods in Young Children with Autism Spectrum Disorder.

Authors:  Courtney E Venker; Ron Pomper; Tristan Mahr; Jan Edwards; Jenny Saffran; Susan Ellis Weismer
Journal:  Autism Res       Date:  2019-10-17       Impact factor: 5.216

3.  Use of a Remote Eye-Tracker for the Analysis of Gaze during Treadmill Walking and Visual Stimuli Exposition.

Authors:  V Serchi; A Peruzzi; A Cereatti; U Della Croce
Journal:  Biomed Res Int       Date:  2016-01-19       Impact factor: 3.411

4.  Noise-robust fixation detection in eye movement data: Identification by two-means clustering (I2MC).

Authors:  Roy S Hessels; Diederick C Niehorster; Chantal Kemner; Ignace T C Hooge
Journal:  Behav Res Methods       Date:  2017-10

5.  What to expect from your remote eye-tracker when participants are unrestrained.

Authors:  Diederick C Niehorster; Tim H W Cornelissen; Kenneth Holmqvist; Ignace T C Hooge; Roy S Hessels
Journal:  Behav Res Methods       Date:  2018-02

6.  Eye-Tracking Provides a Sensitive Measure of Exploration Deficits After Acute Right MCA Stroke.

Authors:  Margarete Delazer; Martin Sojer; Philipp Ellmerer; Christian Boehme; Thomas Benke
Journal:  Front Neurol       Date:  2018-06-11       Impact factor: 4.003

7.  Development and validation of a high-speed stereoscopic eyetracker.

Authors:  Annemiek D Barsingerhorn; F Nienke Boonstra; Jeroen Goossens
Journal:  Behav Res Methods       Date:  2018-12

8.  A new system for quantitative evaluation of infant gaze capabilities in a wide visual field.

Authors:  Andrea Pratesi; Francesca Cecchi; Elena Beani; Giuseppina Sgandurra; Giovanni Cioni; Cecilia Laschi; Paolo Dario
Journal:  Biomed Eng Online       Date:  2015-09-07       Impact factor: 2.819

9.  GlassesViewer: Open-source software for viewing and analyzing data from the Tobii Pro Glasses 2 eye tracker.

Authors:  Diederick C Niehorster; Roy S Hessels; Jeroen S Benjamins
Journal:  Behav Res Methods       Date:  2020-06

10.  The impact of slippage on the data quality of head-worn eye trackers.

Authors:  Diederick C Niehorster; Thiago Santini; Roy S Hessels; Ignace T C Hooge; Enkelejda Kasneci; Marcus Nyström
Journal:  Behav Res Methods       Date:  2020-06
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