ZORA Publication List

Publications

• Müller, M.-L., Büth, C., Jakobi, D. N., Krakowczyk, D. G., Pavlinušic Vilus, E., Shaitarova, A., & Jäger, L. A. (2026). Preprocessing Eye-Tracking Data for Reading: A Community Survey on Practices, Challenges, and Needs (A. Chetouani & A. Vilanueva, Eds.; p. 97). ACM Digital library. https://doi.org/10.1145/3797246.3805480
• Jakobi, D. N., Stegenwallner-Schütz, M., Hollenstein, N., Ding, C., Kasperė, R., Matić Škorić, A., Pavlinušić Vilus, E., Frank, S., Müller, M.-L., Jensen De López, K. M., Kharlamov, N., Knudsen, H. B. S., Berzak, Y., Lion, E., Sekerina, I., Acarturk, C., ANSARI, M. F., Harezlak, K., Kasprowski, P., … Jäger, L. (2025). MultiplEYE: Creating a Multilingual Eye-Tracking-While-Reading Corpus (Y. Sugano, M. Khamis, A. Chetouani, L. Sidenmark, & A. Bruno, Eds.; p. 111). ACM Digital library. https://doi.org/10.1145/3715669.3726843
• Krakowczyk, D. G., Reich, D. R., Säuberli, A., Škrjanec, I., Cretton, I. C. R., Jakobi, D. N., Nisioi, S., Prasse, P., & Jäger, L. A. (2025). The More the Merrier: Boost Your Dataset Visibility and Discover Eye-Tracking Datasets with pymovements (Y. Sugano, M. Khamis, A. Chetouani, L. Sidenmark, & A. Bruno, Eds.; p. 63). ACM Digital library. https://doi.org/10.1145/3715669.3726810
• Jakobi, D. N., Krakowczyk, D. G., & Jäger, L. A. (2024). Reporting Eye-Tracking Data Quality: Towards a New Standard 1–3. https://doi.org/10.1145/3649902.3655658
• Krakowczyk, D. G., Prasse, P., Reich, D. R., Lapuschkin, S., Scheffer, T., & Jäger, L. A. (2023). Bridging the Gap: Gaze Events as Interpretable Concepts to Explain Deep Neural Sequence Models (E. Kasneci, F. Shic, & M. Khamis, Eds.; p. 3). ACM Digital library. https://doi.org/10.1145/3588015.3588412
• Krakowczyk, D. G., Reich, D. R., Chwastek, J., Jakobi, D. N., Prasse, P., Süss, A., Turuta, O., Kasprowski, P., & Jäger, L. A. (2023). pymovements: A Python Package for Eye Movement Data Processing (E. Kasneci, F. Shic, & M. Khamis, Eds.; p. 53). ACM Digital library. https://doi.org/10.1145/3588015.3590134
• Krakowczyk, D., Reich, D. R., Prasse, P., Lapuschkin, S., Scheffer, T., & Jäger, L. A. (2022). Selection of XAI methods matters: Evaluation of feature attribution methods for oculomotoric biometric identification (210:66-97). 1–31. https://proceedings.mlr.press/v210/krakowczyk23a
• Deng, S., Prasse, P., Reich, D. R., Dziemian, S., Stegenwallner-Schütz, M., Krakowczyk, D. G., Makowski, S., Langer, N., Scheffer, T., & Jäger, L. A. (2022). Detection of ADHD based on eye movements during natural viewing 403–418. https://doi.org/10.1007/978-3-031-26422-1_25
• Makowski, S., Prasse, P., Reich, D. R., Krakowczyk, D., Jäger, L. A., & Scheffer, T. (2021). DeepEyedentificationLive: Oculomotoric Biometric Identification and Presentation-Attack Detection using Deep Neural Networks IEEE Transactions on Biometrics, Behavior, and Identity Science, 3, 506–518. https://doi.org/10.1109/tbiom.2021.3116875