Dual input stream transformer for vertical drift correction in eye-tracking reading data

arXiv:2311.06095v2 Announce Type: replace-cross
Abstract: We introduce a novel Dual Input Stream Transformer (DIST) for the challenging problem of assigning fixation points from eye-tracking data collected during passage reading to the line of text that the reader was actually focused on. This post-processing step is crucial for analysis of the reading data due to the presence of noise in the form of vertical drift. We evaluate DIST against eleven classical approaches on a comprehensive suite of nine diverse datasets. We …

abstract analysis arxiv cs.cv cs.lg data drift line novel post-processing processing reading text tracking tracking data transformer type