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WebQAmGaze: A Multilingual Webcam Eye-Tracking-While-Reading Dataset. (arXiv:2303.17876v2 [cs.CL] UPDATED)
cs.CL updates on arXiv.org arxiv.org
We create WebQAmGaze, a multilingual low-cost eye-tracking-while-reading
dataset, designed to support the development of fair and transparent NLP
models. WebQAmGaze includes webcam eye-tracking data from 332 participants
naturally reading English, Spanish, and German texts. Each participant performs
two reading tasks composed of five texts, a normal reading and an
information-seeking task. After preprocessing the data, we find that fixations
on relevant spans seem to indicate correctness when answering the comprehension
questions. Additionally, we perform a comparative analysis of the data …
analysis arxiv correlation cost data dataset development english fair five german information low multilingual nlp nlp models normal quality reading support tracking tracking data webcam