Literature DB >> 32504653

Best practices in eye tracking research.

Benjamin T Carter1, Steven G Luke2.   

Abstract

This guide describes best practices in using eye tracking technology for research in a variety of disciplines. A basic outline of the anatomy and physiology of the eyes and of eye movements is provided, along with a description of the sorts of research questions eye tracking can address. We then explain how eye tracking technology works and what sorts of data it generates, and provide guidance on how to select and use an eye tracker as well as selecting appropriate eye tracking measures. Challenges to the validity of eye tracking studies are described, along with recommendations for overcoming these challenges. We then outline correct reporting standards for eye tracking studies.
Copyright © 2020 Elsevier B.V. All rights reserved.

Keywords:  Best practices; Eye movements; Eye tracking; Open Science; Pupillometry

Year:  2020        PMID: 32504653     DOI: 10.1016/j.ijpsycho.2020.05.010

Source DB:  PubMed          Journal:  Int J Psychophysiol        ISSN: 0167-8760            Impact factor:   2.997


  8 in total

1.  A Lightweight Framework for Perception Analysis Based on Multimodal Cognition-Aware Computing.

Authors:  Xuesheng Qian; Yihong Qiao; Mianjie Wang; Xinyue Wang; Mengfan Chen; Weihui Dai
Journal:  Front Neurosci       Date:  2022-05-26       Impact factor: 5.152

2.  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

3.  A toolkit for wide-screen dynamic area of interest measurements using the Pupil Labs Core Eye Tracker.

Authors:  Yasmin Faraji; Joris W van Rijn; Ruth M A van Nispen; Ger H M B van Rens; Bart J M Melis-Dankers; Jan Koopman; Laurentius J van Rijn
Journal:  Behav Res Methods       Date:  2022-10-17

4.  Neurogastronomy as a Tool for Evaluating Emotions and Visual Preferences of Selected Food Served in Different Ways.

Authors:  Jakub Berčík; Johana Paluchová; Katarína Neomániová
Journal:  Foods       Date:  2021-02-07

5.  How to choose the size of facial areas of interest in interactive eye tracking.

Authors:  Antonia Vehlen; William Standard; Gregor Domes
Journal:  PLoS One       Date:  2022-02-04       Impact factor: 3.240

Review 6.  Eye-Tracking in Interpreting Studies: A Review of Four Decades of Empirical Studies.

Authors:  Ting Hu; Xinyu Wang; Haiming Xu
Journal:  Front Psychol       Date:  2022-06-27

7.  The role of eye tracker in teaching video-assisted thoracoscopic surgery: the differences in visual strategies between novice and expert surgeons in thoracoscopic surgery.

Authors:  Ying Ji; Zhiyu Kong; Yingyue Deng; Jingxi Chen; Yan Liu; Liang Zhao
Journal:  Ann Transl Med       Date:  2022-05

8.  Evaluation of eye tracking for a decision support application.

Authors:  Shyam Visweswaran; Andrew J King; Mohammadamin Tajgardoon; Luca Calzoni; Gilles Clermont; Harry Hochheiser; Gregory F Cooper
Journal:  JAMIA Open       Date:  2021-08-02
  8 in total

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