Eye-tracking Dataset to Support the Research on Autism Spectrum Disorder

Federica Cilia, Romuald Carette, Mahmoud Elbattah, Mahmoud Elbattah, Jean-Luc Guérin, Gilles Dequen

2022

Abstract

The availability of data is a key enabler for researchers across different disciplines. However, domains, such as healthcare, are still fundamentally challenged by the paucity and imbalance of datasets. Health data could be inaccessible due to a variety of hurdles such as privacy concerns, or lack of sharing incentives. In this regard, this study aims to publish an eye-tracking dataset developed for the purpose of autism diagnosis. Eye-tracking methods are used intensively in that context, whereas abnormalities of the eye gaze are largely recognised as the hallmark of autism. As such, it is believed that the dataset can allow for developing useful applications or discovering interesting insights. As well, Machine Learning is a potential application for developing diagnostic models that can help detect autism at an early stage of development.

Paper Citation

in Harvard Style

Cilia F., Carette R., Elbattah M., Guérin J. and Dequen G. (2022). Eye-tracking Dataset to Support the Research on Autism Spectrum Disorder. In Proceedings of the 1st Workshop on Scarce Data in Artificial Intelligence for Healthcare - Volume 1: SDAIH, ISBN 978-989-758-629-3, SciTePress, pages 59-64. DOI: 10.5220/0011540900003523

in Bibtex Style

@conference{sdaih22,
author={Federica Cilia and Romuald Carette and Mahmoud Elbattah and Jean-Luc Guérin and Gilles Dequen},
title={Eye-tracking Dataset to Support the Research on Autism Spectrum Disorder},
booktitle={Proceedings of the 1st Workshop on Scarce Data in Artificial Intelligence for Healthcare - Volume 1: SDAIH,},
year={2022},
pages={59-64},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011540900003523},
isbn={978-989-758-629-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st Workshop on Scarce Data in Artificial Intelligence for Healthcare - Volume 1: SDAIH,
TI - Eye-tracking Dataset to Support the Research on Autism Spectrum Disorder
SN - 978-989-758-629-3
AU - Cilia F.
AU - Carette R.
AU - Elbattah M.
AU - Guérin J.
AU - Dequen G.
PY - 2022
SP - 59
EP - 64
DO - 10.5220/0011540900003523
PB - SciTePress