MultiplEYE: Creating a multilingual eye-tracking-while-reading corpus

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081740%3A_____%2F25%3A00636987" target="_blank" >RIV/68081740:_____/25:00636987 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1145/3715669.3726843" target="_blank" >http://dx.doi.org/10.1145/3715669.3726843</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3715669.3726843" target="_blank" >10.1145/3715669.3726843</a>

Jazyk výsledku

angličtina

Název v původním jazyce

MultiplEYE: Creating a multilingual eye-tracking-while-reading corpus

Popis výsledku v původním jazyce

Eye-tracking-while-reading data provide valuable insights across multiple disciplines, including psychology, linguistics, natural language processing, education, and human-computer interaction. Despite its potential, the availability of large, high-quality, multilingual datasets remains limited, hindering both foundational reading research and advancements in applications. The MultiplEYE project addresses this gap by establishing a large-scale, international eye-tracking data collection initiative. It aims to create a multilingual dataset of eye movements recorded during natural reading, balancing linguistic diversity, while ensuring methodological consistency for reliable cross-linguistic comparisons. The dataset spans numerous languages and follows strict procedural, documentation, and data pre-processing standards to enhance eye-tracking data transparency and reproducibility. A novel data-sharing framework, integrated with data quality reports, allows for selective data filtering based on research needs. Researchers and labs worldwide are invited to join the initiative. By establishing and promoting standardized practices and open data sharing, MultiplEYE facilitates interdisciplinary research and advances reading research and gaze-augmented applications.

Název v anglickém jazyce

MultiplEYE: Creating a multilingual eye-tracking-while-reading corpus

Popis výsledku anglicky

Eye-tracking-while-reading data provide valuable insights across multiple disciplines, including psychology, linguistics, natural language processing, education, and human-computer interaction. Despite its potential, the availability of large, high-quality, multilingual datasets remains limited, hindering both foundational reading research and advancements in applications. The MultiplEYE project addresses this gap by establishing a large-scale, international eye-tracking data collection initiative. It aims to create a multilingual dataset of eye movements recorded during natural reading, balancing linguistic diversity, while ensuring methodological consistency for reliable cross-linguistic comparisons. The dataset spans numerous languages and follows strict procedural, documentation, and data pre-processing standards to enhance eye-tracking data transparency and reproducibility. A novel data-sharing framework, integrated with data quality reports, allows for selective data filtering based on research needs. Researchers and labs worldwide are invited to join the initiative. By establishing and promoting standardized practices and open data sharing, MultiplEYE facilitates interdisciplinary research and advances reading research and gaze-augmented applications.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

50101 - Psychology (including human - machine relations)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název statě ve sborníku

ETRA '25: Proceedings of the 2025 Symposium on Eye Tracking Research and Applications

ISBN

979-8-4007-1487-0

ISSN

—

e-ISSN

—

Počet stran výsledku

11

Strana od-do

111

Název nakladatele

ACM

Místo vydání

New York

Místo konání akce

Tokyo

Datum konání akce

26. 5. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001528457500111