research-article

A visual approach for scan path comparison

Authors:

Michael Raschke,

Tanja Blascheck,

Michael SchraufAuthors Info & Claims

ETRA '14: Proceedings of the Symposium on Eye Tracking Research and Applications

Pages 339 - 346

https://doi.org/10.1145/2578153.2628810

Published: 26 March 2014 Publication History

Abstract

Several algorithms, approaches, and implementations have been developed to support comparison of scan paths and finding of interesting scan path structures. In this work we contribute a visual approach to support scan path comparison. A key feature of this approach is the combination of a clustering algorithm using Levenshtein distance with the parallel scan path visualization technique. The combination of computational methods with an interactive visualization allows us to use both the power of pattern finding algorithms and the human ability to visually recognize patterns. To use the concept in practice we implemented the approach in a prototype and show its application in two scan path analysis scenarios from automobile usability testing and visualization research.

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Cited By

Schäfer PRodrigues NWeiskopf DStorandt S(2023)Group Diagrams for simplified representation of scanpathsJournal of Visualization10.1007/s12650-023-00924-426:5(1173-1187)Online publication date: 2-May-2023
https://doi.org/10.1007/s12650-023-00924-4
Schaefer PRodrigues NWeiskopf DStorandt S(2022)Group Diagrams for Simplified Representation of ScanpathsProceedings of the 15th International Symposium on Visual Information Communication and Interaction10.1145/3554944.3554971(1-8)Online publication date: 16-Aug-2022
https://dl.acm.org/doi/10.1145/3554944.3554971
Sáiz Manzanares MRodríguez Diez JMarticorena Sánchez RZaparaín Yáñez MCerezo Menéndez R(2020)Lifelong Learning from Sustainable Education: An Analysis with Eye Tracking and Data Mining TechniquesSustainability10.3390/su1205197012:5(1970)Online publication date: 5-Mar-2020
https://doi.org/10.3390/su12051970
Show More Cited By

Index Terms

A visual approach for scan path comparison
1. Human-centered computing
  1. Human computer interaction (HCI)
  2. Interaction design
    1. Interaction design process and methods
      1. User centered design

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cover image ACM Conferences

ETRA '14: Proceedings of the Symposium on Eye Tracking Research and Applications

March 2014

394 pages

ISBN:9781450327510

DOI:10.1145/2578153

Conference Chairs:
Pernilla Qvarfordt
FX Palo Alto Laboratory
,
Dan Witzner Hansen
IT University, Denmark

Copyright © 2014 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: 26 March 2014

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ETRA '14

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ETRA '14: Eye Tracking Research and Applications

March 26 - 28, 2014

Florida, Safety Harbor

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Overall Acceptance Rate 69 of 137 submissions, 50%

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2025 Symposium on Eye Tracking Research and Applications

May 26 - 29, 2025

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Cited By

Schäfer PRodrigues NWeiskopf DStorandt S(2023)Group Diagrams for simplified representation of scanpathsJournal of Visualization10.1007/s12650-023-00924-426:5(1173-1187)Online publication date: 2-May-2023
https://doi.org/10.1007/s12650-023-00924-4
Schaefer PRodrigues NWeiskopf DStorandt S(2022)Group Diagrams for Simplified Representation of ScanpathsProceedings of the 15th International Symposium on Visual Information Communication and Interaction10.1145/3554944.3554971(1-8)Online publication date: 16-Aug-2022
https://dl.acm.org/doi/10.1145/3554944.3554971
Sáiz Manzanares MRodríguez Diez JMarticorena Sánchez RZaparaín Yáñez MCerezo Menéndez R(2020)Lifelong Learning from Sustainable Education: An Analysis with Eye Tracking and Data Mining TechniquesSustainability10.3390/su1205197012:5(1970)Online publication date: 5-Mar-2020
https://doi.org/10.3390/su12051970
Geisler DCastner NKasneci GKasneci E(2020)A MinHash approach for fast scanpath classificationACM Symposium on Eye Tracking Research and Applications10.1145/3379155.3391325(1-9)Online publication date: 2-Jun-2020
https://dl.acm.org/doi/10.1145/3379155.3391325
Burch MWeiskopf DBeck FDachsbacher CSadlo F(2018)Identifying similar eye movement patterns with t-SNEProceedings of the Conference on Vision, Modeling, and Visualization10.2312/vmv.20181260(111-118)Online publication date: 10-Oct-2018
https://dl.acm.org/doi/10.2312/vmv.20181260
Burch MKumar AMueller KChuang LBurch MKurzhals K(2018)The hierarchical flow of eye movementsProceedings of the 3rd Workshop on Eye Tracking and Visualization10.1145/3205929.3205930(1-5)Online publication date: 15-Jun-2018
https://dl.acm.org/doi/10.1145/3205929.3205930
Burch MKurzhals KKleinhans NWeiskopf DSharif BKrejtz K(2018)EyeMSAProceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications10.1145/3204493.3204565(1-5)Online publication date: 14-Jun-2018
https://dl.acm.org/doi/10.1145/3204493.3204565
Stracuzzi DSpeed ASilva AHaass MTrumbo D(2015)Exploratory Analysis of Visual Search DataFoundations of Augmented Cognition10.1007/978-3-319-20816-9_52(537-547)Online publication date: 2015
https://doi.org/10.1007/978-3-319-20816-9_52

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