In the framework of COST Action MultiplEYE, WG1 and WG2 had their first-in-person meeting on February 9–10, 2023, in Warsaw. The meeting, attended by both Management Committee members and Working Group members, was held in Poland SWPS University of Social Sciences and Humanities, a leading higher education institution with over 14,500 students. The main objective is establishing the design for the MultiplEYE data collection and eye-tracking methodology. During the meeting, there were presentations and workshops, aiming at providing insight on the current situation and proposals for further contribution to the WGs and Action objectives.
STSM can take place in September 2023, and can last from one, up to three weeks. The applicant and the host will agree on this, and the applicant will specify the time and duration in the application form.
DEADLINE FOR APPLICATIONS
June 15th, 2023
THE FOCUS OF THIS STSM:
The applicant is intended to learn about data preprocessing.
The applicant is intended to learn about computational modeling.
The applicant should be able to implement this knowledge in the MultiplEYE activities.
*Note that preference will be given to applicants with some eye-tracking experience.
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The MultiplEYE COST Action aims to foster an interdisciplinary network of research groups working on collecting eye tracking data from reading in many languages. The goal is to support the development of a large multilingual eye tracking corpus and enable researchers to collect data by sharing infrastructure and their knowledge between various fields, including linguistics, psychology, and computer science. This data collection can then be used to study human language processing from a psycholinguistic perspective as well as to improve and evaluate computational language processing from a machine learning perspective.
The MultiplEYE COST Action has three core goals:
1. To provide a platform for discussing the desiderata and reaching a common ground between psycholinguists and computational linguists for a multilingual eye-tracking and self-paced reading data collection. This includes developing and reaching a consensus concerning experiment design, stimulus selection, stimulus layout, experimental procedure, and data preprocessing.
2. To enable discussions on the psycholinguistic research questions that can be addressed with multilingual eye movement data and providing a broad network to initiate collaborations focusing on cross-linguistic and multilingual projects.
3. To advance the natural language processing and machine learning applications that leverage eye-tracking data and improve their cross-linguistic generalization abilities by bringing researchers from psycholinguistics and computational linguistics closer together.