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Reporting Eye-Tracking Data Quality: Towards a New Standard

Jakobi, Deborah N; Krakowczyk, Daniel G; Jäger, Lena A (2024). Reporting Eye-Tracking Data Quality: Towards a New Standard. In: ETRA '24: The 2024 Symposium on Eye Tracking Research and Applications, Glasgow United Kingdom, 4 June 2024 - 7 June 2024, 1-3.

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Item Type:Conference or Workshop Item (Paper), not_refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
06 Faculty of Arts > Zurich Center for Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Scopus Subject Areas:Physical Sciences > Computer Vision and Pattern Recognition
Physical Sciences > Human-Computer Interaction
Health Sciences > Ophthalmology
Life Sciences > Sensory Systems
Language:English
Event End Date:7 June 2024
Deposited On:07 Jan 2025 10:16
Last Modified:28 Jan 2025 06:03
OA Status:Green
Publisher DOI:https://doi.org/10.1145/3649902.3655658
Related URLs:https://github.com/aeye-lab/pymovements
Project Information:
  • Funder: SNSF
  • Grant ID: 212276
  • Project Title: Measurement reliability of individual differences in sentence processing (MeRID): A cross-linguistic perspective
  • Funder: German Federal Ministry of Education and Research
  • Grant ID: 01|S20043
  • Project Title: AEye
  • Funder: COST (European Cooperation in Science and Technology)
  • Grant ID: CA21131
  • Project Title: MultiplEYE
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