Engagement is critical to satisfaction and performance in a number of domains but is
challenging to measure and sustain. Thus, there is considerable interest in developing …

Many children on autism spectrum have atypical behavioral expressions of engagement
compared to their neu-rotypical peers. In this paper, we investigate the performance of deep …

Background There is increased interest in using artificial intelligence (AI) to provide
participation-focused pediatric re/habilitation. Existing reviews on the use of AI in …

In this study, a novel method is proposed for determining whether a child between the ages
of 3 and 10 has autism spectrum disorder. Video games have the ability to immerse a child …

Background Autism spectrum disorder (ASD) is a widespread neurodevelopmental
condition with a range of potential causes and symptoms. Standard diagnostic mechanisms …

The task of child engagement estimation when interacting with a social robot during a
special educational procedure is studied. A multimodal machine learning‐based …

Early therapeutic intervention programs help children diagnosed with Autism Spectrum
Disorder (ASD) to improve their socio-emotional and functional skills. To relieve the …

In this work, we tackle the problem of child engagement estimation while children freely
interact with a robot in a friendly, room-like environment. We propose a deep learning-based …

Predicting emotions automatically is an active field of research in affective computing.
Considering the property of the individual's subjectivity, the label of an emotional instance is …

Engagement plays a key role in improving the cognitive and motor development of children
with autism spectrum disorder (ASD). Sensing and recognizing their engagement is crucial …