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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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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 '25: Proceedings of the 2025 Symposium on Eye Tracking Research and Applications
ISBN
979-8-4007-1487-0
ISSN
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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