Data

Our lab is committed to open science, publicly publishing relevant datasets, codes and artefacts related to our publications. Our lab has a Github repository (IAM-METUNCC) where all the code from the lab is published there. Our lab currently also has the following datasets. Please cite the relevant papers if you would like to use them:

  • Victoria Yaneva, Le An Ha, Sukru Eraslan, Yeliz Yesilada, and Ruslan Mitkov, Chapter 3 – Reading differences in eye-tracking data as a marker of high-functioning autism in adults and comparison to results from web-related tasks, Editor(s): Ayman S. El-Baz, Jasjit S. Suri, Neural Engineering Techniques for Autism Spectrum Disorder, Academic Press, 2023, Pages 63-79, ISBN 9780128244210, DOI: https://doi.org/10.1016/B978-0-12-824421-0.00011-4.
  • Sukru Eraslan, Yeliz Yesilada, Victoria Yaneva, and Simon Harper. 2020. Autism detection based on eye movement sequences on the web: a scanpath trend analysis approach. In Proceedings of the 17th International Web for All Conference (W4A ’20). Association for Computing Machinery, New York, NY, USA, Article 11, 1–10. DOI: https://doi.org/10.1145/3371300.3383340.
    • All the individual paths used for the evaluation of our proposed approach are available in our external repository at Zenodo (DOI: 10.5281/zenodo.3668740). The repository also includes the Python code to re-run the evaluation. Therefore, the proposed approach can be re-evaluated by other researchers with different individual paths in the future. 
  • Sukru Eraslan, Yeliz Yesilada, and Simon Harper. 2020. “The Best of Both Worlds!”: Integration of Web Page and Eye Tracking Data Driven Approaches for Automatic AOI Detection. ACM Trans. Web 14, 1, Article 1 (February 2020), 31 pages. DOI: https://doi.org/10.1145/3372497.
    • The implementation of our proposed approach with C programming language can be found in our external repository https://github.com/SukruEraslan/dds. All the materials and data used for the evaluation of our approach can also be found in this repository.
  • Victoria Yaneva, Le An Ha, Sukru Eraslan, Yeliz Yesilada, and Ruslan Mitkov. 2018. Detecting Autism Based on Eye-Tracking Data from Web Searching Tasks. In Proceedings of the 15th International Web for All Conference (W4A ’18). Association for Computing Machinery, New York, NY, USA, Article 16, 1–10. DOI: https://doi.org/10.1145/3192714.3192819.
  • Victoria Yaneva, La An Ha, Sukru Eraslan, Yeliz Yesilada and Ruslan Mitkov. 2020. Detecting High-Functioning Autism in Adults Using Eye Tracking and Machine Learning, in IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28, 6, 1254-1261. DOI: https://doi.org/10.1109/TNSRE.2020.2991675.