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A visual approach for scan path comparison

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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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
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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Author Tags

  1. eye tracking
  2. pattern analysis
  3. trajectory analysis
  4. visualization

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  • Research-article

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ETRA '14
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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ETRA '25

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  • (2023)Using Eye Tracking Technology to Analyse Cognitive Load in Multichannel Activities in University StudentsInternational Journal of Human–Computer Interaction10.1080/10447318.2023.218853240:12(3263-3281)Online publication date: 28-Mar-2023
  • (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
  • (2020)Exploiting the GBVS for Saliency aware Gaze HeatmapsACM Symposium on Eye Tracking Research and Applications10.1145/3379156.3391367(1-5)Online publication date: 2-Jun-2020
  • (2019)An intuitive visualization for rapid data analysisProceedings of the 11th ACM Symposium on Eye Tracking Research & Applications10.1145/3317958.3318227(1-5)Online publication date: 25-Jun-2019
  • (2019)Visually analyzing students' gaze on C++ code snippetsProceedings of the 6th International Workshop on Eye Movements in Programming10.1109/EMIP.2019.00011(18-25)Online publication date: 27-May-2019
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  • (2018)A visual comparison of gaze behavior from pedestrians and cyclistsProceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications10.1145/3204493.3204553(1-5)Online publication date: 14-Jun-2018
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  • (2017)Visual Analysis of Eye Movement Data with Fixation Distance PlotsIntelligent Decision Technologies 201710.1007/978-3-319-59424-8_21(227-236)Online publication date: 26-May-2017
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