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CORDIS - Wyniki badań wspieranych przez UE
CORDIS

Eyes for Information, Communication, and Understanding

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

Program and handouts for eye tracking methods, statistical analysis, data visualization (odnośnik otworzy się w nowym oknie)

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 (odnośnik otworzy się w nowym oknie)

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 (odnośnik otworzy się w nowym oknie)

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 (odnośnik otworzy się w nowym oknie)

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 (odnośnik otworzy się w nowym oknie)

Program on transferable skills at Winter School 1 and students handouts

Risk register 2 (odnośnik otworzy się w nowym oknie)

Risk register

Risk register 1 (odnośnik otworzy się w nowym oknie)

Risk register

Program of advanced concepts of eye tracking computational modeling at Winter School 2 and students’ handouts (odnośnik otworzy się w nowym oknie)

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.

Publikacje

Towards gaze-supported emotion-enhanced travel experience logging (odnośnik otworzy się w nowym oknie)

Autorzy: Wang, Y., Raubal, M., & Kiefer, P.
Opublikowane w: 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 (odnośnik otworzy się w nowym oknie)

Autorzy: Filippo Baldisserotto, Krzysztof Krejtz, Izabela Krejtz
Opublikowane w: ETRA '23: Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, 2023, ISBN 9798400701504
Wydawca: Association for Computing Machinery
DOI: 10.1145/3588015.3589512

Reviewing the Social Function of Eye Gaze in Social Interaction (odnośnik otworzy się w nowym oknie)

Autorzy: Mehtap Çakır, Anke Huckauf
Opublikowane w: ETRA '23: Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, 2023, ISBN 9798400701504
Wydawca: Association for Computing Machinery
DOI: 10.1145/3588015.3589513

Eye Tracking as a Source of Implicit Feedback in Recommender Systems: A Preliminary Analysis (odnośnik otworzy się w nowym oknie)

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

SUPREYES: SUPer Resolutin for EYES Using Implicit Neural Representation Learning (odnośnik otworzy się w nowym oknie)

Autorzy: Chuhan Jiao, Zhiming Hu, Mihai Bace, Andreas Bulling
Opublikowane w: Proc. ACM Symposium on User Interface Software and Technology (UIST), 2023
Wydawca: ACM DIGITAL LIBRARY
DOI: 10.1145/3586183.3606780

Towards Personalized Pedestrian Route Recommendation Based on Implicit Visual Preference (odnośnik otworzy się w nowym oknie)

Autorzy: Che, L., Raubal, M., & Kiefer, P.
Opublikowane w: 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 (odnośnik otworzy się w nowym oknie)

Autorzy: Hasnain Ali Shah, Salman Khalil, Sami Andberg, Anne M. Koivisto, Roman Bednarik
Opublikowane w: Information Fusion, Numer 122, 2025, ISSN 1566-2535
Wydawca: 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 (odnośnik otworzy się w nowym oknie)

Autorzy: Hasnain Ali Shah, Sami Andberg, Anne M. Koivisto, Roman Bednarik
Opublikowane w: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Numer 33, 2025, ISSN 1534-4320
Wydawca: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TNSRE.2025.3561043

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