You can also find my articles on Google Scholar and DTU Research Database (Orbit).
Jensen, H.E., Ilyas, C.M.A., Tashk, A., Cooreman, B., Beier, S. & Bækgaard, P.
ACM Symposium on Eye Tracking Research and Applications (ETRA 2025) · Tokyo, Japan · May 2025 · Article 78 · Open Access CC BY 4.0
Introduces context preservation — a gaze-based mechanism that helps readers resume reading after typographic adaptations. A 22-participant within-subjects experiment compared four intervention designs (Popup, Undo, Notification, Gradual). The Gradual intervention achieved the lowest Reading-Resume Time and highest participant satisfaction.
DOI · PDF · Dataset · DTU Orbit
Ilyas, C.M.A., Noor, S.-E., Tashk, A., Cooreman, B., Beier, S. & Bækgaard, P.
ACM Symposium on Eye Tracking Research and Applications (ETRA 2025) · Tokyo, Japan · May 2025 · Article 113 · Open Access CC BY 4.0
First eye-tracking investigation comparing cognitive reading behaviour between LLM-generated and human-authored texts. Significant differences in fixation characteristics, pupil dilation, and reading speed identified between AI and human text (N=13, I2MC fixation detection).
Tashk, A., Ilyas, C.M.A., Cooreman, B., Beier, S. & Bækgaard, P.
IEEE 7th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2025) · 1–2 November 2025 · In Press
First BERT-based classifier for Native Language Identification from Reading (NLIR) using gaze features from the MECO-L2 corpus. Monte Carlo simulation with 20 randomised splits for robust small-sample evaluation. BERT produces linguistically more meaningful language clusters than logistic regression.
Ilyas, C.M.A. et al.
arXiv preprint · WorkingAge / EU Horizon 2020 Project · November 2021 · arXiv:2111.11862
A system for continuous valence/arousal affect inference from facial cues in naturalistic work-like environments. Demonstrates that dimensional models outperform categorical classification for in-the-wild occupational affective computing.