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Reporting Eye-Tracking Data Quality: Towards a New Standard
April 2, 2024, 7:51 p.m. | Deborah N. Jakobi, Daniel G. Krakowczyk, Lena A. J\"ager
cs.CL updates on arXiv.org arxiv.org
Abstract: Eye-tracking datasets are often shared in the format used by their creators for their original analyses, usually resulting in the exclusion of data considered irrelevant to the primary purpose. In order to increase re-usability of existing eye-tracking datasets for more diverse and initially not considered use cases, this work advocates a new approach of sharing eye-tracking data. Instead of publishing filtered and pre-processed datasets, the eye-tracking data at all pre-processing stages should be published together …
arxiv cs.cl data data quality quality reporting standard tracking tracking data type
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