Sure About That Line? Approaching Confidence-Based, Real-Time Line Assignment in Reading Gaze Data
Remote and webcam-based eye tracking in multi-line reading suffers from various noise factors and layout ambiguity, precisely where real-time reading support needs reliable, per-fixation line assignment. Prior work largely addresses this challenge post hoc or by restricting behavior (e.g., disallowing re-reading), undermining interactive use. We propose CONF-LA (Confidence-score-based Online Fixation-to-Line Assignment), a principled, low-latency approach that integrates knowledge about reading behavior and Gaussian line likelihoods over fixations to compute a posterior-line-score and defers assignments when uncertainty is high. Evaluated on existing open-source data, CONF-LA demonstrates...
| Authors | Franziska Kaltenberger, Wei-Ling Chen, Enkeleda Thaqi et al. |
|---|---|
| Primary category | q-bio.NC |
| Published | 27 April 2026 |
| Last updated at source | 27 April 2026 |
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