Métricas de los Eye – Tracker que se usan en Terapias para Individuos con Trastorno del Espectro Autista: Revisión Sistemática de la Literatura.

Hillary Pierina  Maiquiza Mero; Leticia Vaca–Cardenas

doi:10.56124/encriptar.v7i14.001

Authors

Hillary Pierina Maiquiza Mero Universidad Técnica de Manabí UTM
Leticia Vaca–Cardenas Universidad Técnica de Manabí UTM

DOI:

https://doi.org/10.56124/encriptar.v7i14.001%20

Keywords:

Eye – tracker metrics, eye tracking patterns, eye – tracker algorithms, eye – tracker ASD, eye – tracker autism

Abstract

Currently, multiple devices help improve their users' quality of life, even more so when they have personalized features for people with autism. Autism spectrum disorder (ASD) is a neurobiological developmental disorder that affects communication, social interaction and behavior; there are therapies for individuals with ASD that are performed using elements such as eye-tracker. The eye-tracker is a device designed to measure and record an individual's eye movements using metrics, which provide detailed information about visual behavior. For this purpose, eye-tracking patterns are analyzed, which refer to the characteristic movements that an individual's eyes follow when exploring and visually processing a stimulus or a scene. This paper compiles eye tracking patterns and metrics used by eye – trackers in therapies for individuals with autism spectrum disorder. For this, a systematic literature review (SLR) methodology has been applied, based on an exhaustive search in scientific libraries of the informatics field. The results highlight the metrics used by eye-tracker in most therapies for individuals with ASD, which are based on fixations, saccadic movements and smooth movements, as well as the artificial intelligence (AI)-based algorithms that eye-tracker software uses to analyze the data obtained from the metrics.

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