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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/61989592:15210/25:73634501

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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/.

Název v anglickém jazyce

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

Popis výsledku anglicky

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/.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

50103 - Cognitive sciences

Projekt

<a href="/cs/project/GA23-06187S" target="_blank" >GA23-06187S: Identifikace bariér v procesu komunikace prostorových sociálně-demografických informací</a><br>

Návaznosti

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

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

ISBN

979-8-4007-1487-0

ISSN

—

e-ISSN

—

Počet stran výsledku

7

Strana od-do

1-7

Název nakladatele

Association for Computing Machinery

Místo vydání

New York, NY

Místo konání akce

Tokyo, Japan

Datum konání akce

26. 5. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001528457500097