GesTEApp: A Pilot Study on an Expert Web-Based System that Integrates Gestural Analytics and a Hybrid Recommendation System to Support the Early Detection of ASD in Children

Maria Mejía-Trujillo, Faiber Camelo-Romero, Helio Ramírez-Arévalo, Miguel Feijóo-García

2023

Abstract

Autism Spectrum Disorder is a neurological condition that affects 1 in 160 children worldwide. To date, this disorder does not yet have a standardized cure, and not being treated early can affect the child’s quality of life and their relatives. There are currently different traditional tools for detecting Autism Spectrum Disor- der, such as questionnaires and checklists— standardized methods worldwide, such as using M-CHAT-R/F and Q-CHAT. We present GesTEApp as a web-based expert system that integrates gestural analytics and sup- ports Healthcare Professionals in their medical decision-making process on the early detection of this disorder in children. GesTEApp implements a Hybrid Recommendation System with Face Recognition models and Linear Kernel, which capture and analyze children’s facial expressions, seeking to support Healthcare Profes- sionals in detecting Autism Spectrum Disorder. We evaluated this tool following a pilot study and reported the findings and results considering Healthcare Professionals’ perceptions, basing our analysis on (1-5) Lik- ert Scales and their feedback regarding their experience interacting with GesTEApp. Preliminary, the tool reduced detection times by 36% compared to traditional tools. Also, our preliminary results suggest that GesTEApp is a user-centered web-based application that satisfactorily supports Healthcare Professionals in detecting Autism Spectrum Disorder in children.

Paper Citation

in Harvard Style

Mejía-Trujillo M., Camelo-Romero F., Ramírez-Arévalo H. and Feijóo-García M. (2023). GesTEApp: A Pilot Study on an Expert Web-Based System that Integrates Gestural Analytics and a Hybrid Recommendation System to Support the Early Detection of ASD in Children. In Proceedings of the 9th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE, ISBN 978-989-758-645-3, SciTePress, pages 170-177. DOI: 10.5220/0011957500003476

in Bibtex Style

@conference{ict4awe23,
author={Maria Mejía-Trujillo and Faiber Camelo-Romero and Helio Ramírez-Arévalo and Miguel Feijóo-García},
title={GesTEApp: A Pilot Study on an Expert Web-Based System that Integrates Gestural Analytics and a Hybrid Recommendation System to Support the Early Detection of ASD in Children},
booktitle={Proceedings of the 9th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE,},
year={2023},
pages={170-177},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011957500003476},
isbn={978-989-758-645-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE,
TI - GesTEApp: A Pilot Study on an Expert Web-Based System that Integrates Gestural Analytics and a Hybrid Recommendation System to Support the Early Detection of ASD in Children
SN - 978-989-758-645-3
AU - Mejía-Trujillo M.
AU - Camelo-Romero F.
AU - Ramírez-Arévalo H.
AU - Feijóo-García M.
PY - 2023
SP - 170
EP - 177
DO - 10.5220/0011957500003476
PB - SciTePress