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CORDIS - Resultados de investigaciones de la UE
CORDIS

Eyes for Information, Communication, and Understanding

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Program and handouts for eye tracking methods, statistical analysis, data visualization (se abrirá en una nueva ventana)

The WP4 starts with the diagnosis of the current DCs knowledge about empirical research methodology, data management, and statistical modeling. This step is necessary bearing in mind differences in curriculum of undergraduate and graduate programs between various disciplines, in this case, mainly computer and social sciences. Identification of methodological knowledge gaps and strengths, as well as the existing standard curriculum review will help in designing the training enabling collaboration in interdisciplinary topics and teams. An important part of this initial diagnosis is the gathering of knowledge on the non-academic partners which conduct applied research in their fields (education, location-based services, and eye tracking research) on their needs concerning methodological knowledge of successful job applicants (new employees).

Program and handouts for eye tracking data handling, statistics with exemplary R and python code (se abrirá en una nueva ventana)

The WP4 starts with the diagnosis of the current DCs knowledge about empirical research methodology, data management, and statistical modeling. This step is necessary bearing in mind differences in curriculum of undergraduate and graduate programs between various disciplines, in this case, mainly computer and social sciences. Identification of methodological knowledge gaps and strengths, as well as the existing standard curriculum review will help in designing the training enabling collaboration in interdisciplinary topics and teams. An important part of this initial diagnosis is the gathering of knowledge on the non-academic partners which conduct applied research in their fields (education, location-based services, and eye tracking research) on their needs concerning methodological knowledge of successful job applicants (new employees).

Program on transferable skills at Winter School 2 and students’ handouts (se abrirá en una nueva ventana)

Program on transferable skills at Winter School 2 and students handouts

Program of intermediate concepts of eye tracking computational modeling at Winter School 1 and students’ handouts (se abrirá en una nueva ventana)

Training activities will cover the following methods for computational modeling relevant to eye-tracking research and applications: Classification and regression models, deep and recurrent neural network models, representation learning, applications of computational modeling on low and high-end hardware, Egocentric Computer Vision, software tools and toolkits for model training and evaluation (e.g. PyTorch, scikit learn etc), Machine learning for signal processing. In addition, the consortium will organize a hackathon as part of the training activities in computational modeling. The training activity will focus on practical applications of modern ML toolkits for real-time applications, while the data will be provided from the consortium partners.

Program on transferable skills at Winter School 1 and students’ handouts (se abrirá en una nueva ventana)

Program on transferable skills at Winter School 1 and students handouts

Risk register 2 (se abrirá en una nueva ventana)

Risk register

Risk register 1 (se abrirá en una nueva ventana)

Risk register

Program of advanced concepts of eye tracking computational modeling at Winter School 2 and students’ handouts (se abrirá en una nueva ventana)

Training activities will cover the following methods for computational modeling relevant to eye-tracking research and applications: Classification and regression models, deep and recurrent neural network models, representation learning, applications of computational modeling on low and high-end hardware, Egocentric Computer Vision, software tools and toolkits for model training and evaluation (e.g. PyTorch, scikit learn etc), Machine learning for signal processing. In addition, the consortium will organize a hackathon as part of the training activities in computational modeling. The training activity will focus on practical applications of modern ML toolkits for real-time applications, while the data will be provided from the consortium partners.

Publicaciones

Towards gaze-supported emotion-enhanced travel experience logging (se abrirá en una nueva ventana)

Autores: Wang, Y., Raubal, M., & Kiefer, P.
Publicado en: Proceedings of the 18th International Conference on Location Based Services., 2023
DOI: 10.34726/5753

A Review of Eye Tracking in Advanced Driver Assistance Systems: An Adaptive Multi-Modal Eye Tracking Interface Solution (se abrirá en una nueva ventana)

Autores: Filippo Baldisserotto, Krzysztof Krejtz, Izabela Krejtz
Publicado en: ETRA '23: Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, 2023, ISBN 9798400701504
Editor: Association for Computing Machinery
DOI: 10.1145/3588015.3589512

Reviewing the Social Function of Eye Gaze in Social Interaction (se abrirá en una nueva ventana)

Autores: Mehtap Çakır, Anke Huckauf
Publicado en: ETRA '23: Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, 2023, ISBN 9798400701504
Editor: Association for Computing Machinery
DOI: 10.1145/3588015.3589513

Eye Tracking as a Source of Implicit Feedback in Recommender Systems: A Preliminary Analysis (se abrirá en una nueva ventana)

Autores: de Leon-Martinez, Santiago; Moro, Robert; Bielikova, Maria
Publicado en: 2023 Symposium on Eye Tracking Research and Applications (ETRA '23), 2023, ISBN 9798400701504
Editor: Association for Computing Machinery
DOI: 10.1145/3588015.3589511

SUPREYES: SUPer Resolutin for EYES Using Implicit Neural Representation Learning (se abrirá en una nueva ventana)

Autores: Chuhan Jiao, Zhiming Hu, Mihai Bace, Andreas Bulling
Publicado en: Proc. ACM Symposium on User Interface Software and Technology (UIST), 2023
Editor: ACM DIGITAL LIBRARY
DOI: 10.1145/3586183.3606780

Towards Personalized Pedestrian Route Recommendation Based on Implicit Visual Preference (se abrirá en una nueva ventana)

Autores: Che, L., Raubal, M., & Kiefer, P.
Publicado en: Proceedings of the 18th International Conference on Location Based Services., 2023
DOI: 10.34726/5639

Eye tracking based detection of mild cognitive impairment: A review (se abrirá en una nueva ventana)

Autores: Hasnain Ali Shah, Salman Khalil, Sami Andberg, Anne M. Koivisto, Roman Bednarik
Publicado en: Information Fusion, Edición 122, 2025, ISSN 1566-2535
Editor: Elsevier BV
DOI: 10.1016/J.INFFUS.2025.103202

A Multimodal Approach for Early Identification of Mild Cognitive Impairment and Alzheimer’s Disease With Fusion Network Using Eye Movements and Speech (se abrirá en una nueva ventana)

Autores: Hasnain Ali Shah, Sami Andberg, Anne M. Koivisto, Roman Bednarik
Publicado en: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Edición 33, 2025, ISSN 1534-4320
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TNSRE.2025.3561043

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