Literature DB >> 22648695

It depends on how you look at it: scanpath comparison in multiple dimensions with MultiMatch, a vector-based approach.

Richard Dewhurst1, Marcus Nyström, Halszka Jarodzka, Tom Foulsham, Roger Johansson, Kenneth Holmqvist.   

Abstract

Eye movement sequences-or scanpaths-vary depending on the stimulus characteristics and the task (Foulsham & Underwood Journal of Vision, 8(2), 6:1-17, 2008; Land, Mennie, & Rusted, Perception, 28, 1311-1328, 1999). Common methods for comparing scanpaths, however, are limited in their ability to capture both the spatial and temporal properties of which a scanpath consists. Here, we validated a new method for scanpath comparison based on geometric vectors, which compares scanpaths over multiple dimensions while retaining positional and sequential information (Jarodzka, Holmqvist, & Nyström, Symposium on Eye-Tracking Research and Applications (pp. 211-218), 2010). "MultiMatch" was tested in two experiments and pitted against ScanMatch (Cristino, Mathôt, Theeuwes, & Gilchrist, Behavior Research Methods, 42, 692-700, 2010), the most comprehensive adaptation of the popular Levenshtein method. In Experiment 1, we used synthetic data, demonstrating the greater sensitivity of MultiMatch to variations in spatial position. In Experiment 2, real eye movement recordings were taken from participants viewing sequences of dots, designed to elicit scanpath pairs with commonalities known to be problematic for algorithms (e.g., when one scanpath is shifted in locus or when fixations fall on either side of an AOI boundary). The results illustrate the advantages of a multidimensional approach, revealing how two scanpaths differ. For instance, if one scanpath is the reverse copy of another, the difference is in the direction but not the positions of fixations; or if a scanpath is scaled down, the difference is in the length of the saccadic vectors but not in the overall shape. As well as having enormous potential for any task in which consistency in eye movements is important (e.g., learning), MultiMatch is particularly relevant for "eye movements to nothing" in mental imagery and embodiment-of-cognition research, where satisfactory scanpath comparison algorithms are lacking.

Entities:  

Mesh:

Year:  2012        PMID: 22648695     DOI: 10.3758/s13428-012-0212-2

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


  17 in total

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Journal:  Comput Vis Image Underst       Date:  2016-09-21       Impact factor: 4.886

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4.  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

5.  Scan path entropy and arrow plots: capturing scanning behavior of multiple observers.

Authors:  Ignace Hooge; Guido Camps
Journal:  Front Psychol       Date:  2013-12-24

6.  Characterization of Visual Scanning Patterns in Air Traffic Control.

Authors:  Sarah N McClung; Ziho Kang
Journal:  Comput Intell Neurosci       Date:  2016-04-07

7.  Designs and Algorithms to Map Eye Tracking Data with Dynamic Multielement Moving Objects.

Authors:  Ziho Kang; Saptarshi Mandal; Jerry Crutchfield; Angel Millan; Sarah N McClung
Journal:  Comput Intell Neurosci       Date:  2016-09-20

8.  Collective Behaviour in Video Viewing: A Thermodynamic Analysis of Gaze Position.

Authors:  Kate Burleson-Lesser; Flaviano Morone; Paul DeGuzman; Lucas C Parra; Hernán A Makse
Journal:  PLoS One       Date:  2017-01-03       Impact factor: 3.240

9.  Scanpath modeling and classification with hidden Markov models.

Authors:  Antoine Coutrot; Janet H Hsiao; Antoni B Chan
Journal:  Behav Res Methods       Date:  2018-02

10.  Computational modeling of human reasoning processes for interpretable visual knowledge: a case study with radiographers.

Authors:  Yu Li; Hongfei Cao; Carla M Allen; Xin Wang; Sanda Erdelez; Chi-Ren Shyu
Journal:  Sci Rep       Date:  2020-12-10       Impact factor: 4.379

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