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Exploring Gaze Re-Inspection Dynamics with Running Recurrence Quantification Analysis (RRQA)

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F25%3A73634501" target="_blank" >RIV/61989592:15310/25:73634501 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989592:15210/25:73634501

  • Result on the web

    <a href="https://dl.acm.org/doi/epdf/10.1145/3715669.3725875" target="_blank" >https://dl.acm.org/doi/epdf/10.1145/3715669.3725875</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3715669.3725875" target="_blank" >10.1145/3715669.3725875</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Exploring Gaze Re-Inspection Dynamics with Running Recurrence Quantification Analysis (RRQA)

  • Original language description

    Gaze behavior provides key insights into cognitive processes such as attention, perception, and decision-making. Traditional eye-tracking metrics-such as fixation durations-capture meaningful patterns but overlook re-fixation dynamics, which signal shifts in gaze strategies. Recurrence Quantification Analysis (RQA) detects such patterns but aggregates data across entire tasks, obscuring temporal variations. Sliding Window RQA (SWRQA) tracks recurrence over time, yet fixed window sizes struggle with short fixation sequences and long-span recurrences, limiting suitability for gaze data. To address these limitations, we present Running RQA (RRQA). This proof-of-concept computes standard RQA metrics at each fixation, enabling fine-grained temporal tracking of Recurrence Rate (REC), Determinism (DET), Laminarity (LAM), and Center of Recurrence Mass (CORM). We introduce three visualization techniques to map changes in RRQA metrics for per-fixation, multi-participant comparisons. An open-source web application enables researchers to upload, analyze, and explore gaze data with RRQA visualizations interactively, facilitating detailed investigations of re-examination behavior: https://osf.io/ptfe7/.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50103 - Cognitive sciences

Result continuities

  • Project

    <a href="/en/project/GA23-06187S" target="_blank" >GA23-06187S: Identification of barriers in the process of communication of spatial socio-demographic information</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    ETRA &apos;25: Proceedings of the 2025 Symposium on Eye Tracking Research and Applications

  • ISBN

    979-8-4007-1487-0

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    1-7

  • Publisher name

    Association for Computing Machinery

  • Place of publication

    New York, NY

  • Event location

    Tokyo, Japan

  • Event date

    May 26, 2025

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    001528457500097