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

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50101 - Psychology (including human - machine relations)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

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

  • e-ISSN

  • Number of pages

    11

  • Pages from-to

    111

  • Publisher name

    ACM

  • Place of publication

    New York

  • Event location

    Tokyo

  • Event date

    May 26, 2025

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    001528457500111