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Identifying fixations and saccades in eye-tracking protocols

Authors:

Dario D. Salvucci,

Joseph H. GoldbergAuthors Info & Claims

ETRA '00: Proceedings of the 2000 symposium on Eye tracking research & applications

Pages 71 - 78

https://doi.org/10.1145/355017.355028

Published: 08 November 2000 Publication History

Abstract

The process of fixation identification—separating and labeling fixations and saccades in eye-tracking protocols—is an essential part of eye-movement data analysis and can have a dramatic impact on higher-level analyses. However, algorithms for performing fixation identification are often described informally and rarely compared in a meaningful way. In this paper we propose a taxonomy of fixation identification algorithms that classifies algorithms in terms of how they utilize spatial and temporal information in eye-tracking protocols. Using this taxonomy, we describe five algorithms that are representative of different classes in the taxonomy and are based on commonly employed techniques. We then evaluate and compare these algorithms with respect to a number of qualitative characteristics. The results of these comparisons offer interesting implications for the use of the various algorithms in future work.

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YAMANAKA ONIBE RNAKAZAWA KYAMAMOTO YKAWAI WKYUTOKU YDAN I(2024)Visual Recognizability Evaluation for Brand Logos Using Covert Eye Tracking (CovET) Combined with a Go/No-go TaskInternational Journal of Affective Engineering10.5057/ijae.IJAE-D-24-00019Online publication date: 2024
https://doi.org/10.5057/ijae.IJAE-D-24-00019
Bischof WAnderson NKingstone A(2024)A tutorial: Analyzing eye and head movements in virtual realityBehavior Research Methods10.3758/s13428-024-02482-556:8(8396-8421)Online publication date: 8-Aug-2024
https://doi.org/10.3758/s13428-024-02482-5
Drews MDierkes K(2024)Strategies for enhancing automatic fixation detection in head-mounted eye trackingBehavior Research Methods10.3758/s13428-024-02360-056:6(6276-6298)Online publication date: 9-Apr-2024
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Index Terms

Identifying fixations and saccades in eye-tracking protocols
1. Applied computing
  1. Life and medical sciences
    1. Consumer health
    2. Health informatics
2. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

cover image ACM Conferences

ETRA '00: Proceedings of the 2000 symposium on Eye tracking research & applications

November 2000

147 pages

ISBN:1581132808

DOI:10.1145/355017

Chairman:
Andrew T. Duchowski
Clemson Univ., Clemson, SC

Copyright © 2000 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 08 November 2000

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ETRA00: Eye Tracking Research & Application

November 6 - 8, 2000

Florida, Palm Beach Gardens, USA

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ETRA '00 Paper Acceptance Rate 18 of 29 submissions, 62%;

Overall Acceptance Rate 69 of 137 submissions, 50%

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https://doi.org/10.5057/ijae.IJAE-D-24-00019
Bischof WAnderson NKingstone A(2024)A tutorial: Analyzing eye and head movements in virtual realityBehavior Research Methods10.3758/s13428-024-02482-556:8(8396-8421)Online publication date: 8-Aug-2024
https://doi.org/10.3758/s13428-024-02482-5
Drews MDierkes K(2024)Strategies for enhancing automatic fixation detection in head-mounted eye trackingBehavior Research Methods10.3758/s13428-024-02360-056:6(6276-6298)Online publication date: 9-Apr-2024
https://doi.org/10.3758/s13428-024-02360-0
Nejad Ade Haan GHeutink JCornelissen F(2024)ACE-DNV: Automatic classification of gaze events in dynamic natural viewingBehavior Research Methods10.3758/s13428-024-02358-856:4(3300-3314)Online publication date: 6-Mar-2024
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