Abstract
Purpose – The purpose of this paper is to review studies relevant to the early identification of behavioural changes in children with autism when they start to feel overwhelmed and use their detection for the timely launch of evidence-based well-being interventions for their mitigation. Design/methodology/approach – A scoping review of electronic databases was undertaken focusing on the studies related to emotions or arousal detection in children with Autism. Findings – The literature selected for this research explores different methodologies used for detecting precursors of emotional dysregulation (termed meltdown) in individuals with autism. Results suggest that use of multi-modal data is an under researched area, further compounded by the lack of accessible state of the art data sets. Originality/value – This paper is first of its type aiming to review and categorise existing literature related to approaches for emotion and arousal detection in children with Autism to identify gaps where contemporary computer science methods may help.
| Original language | English |
|---|---|
| Journal | Journal of Enabling Technologies |
| DOIs | |
| State | Accepted/In press - 2025 |
Bibliographical note
Publisher Copyright:© Emerald Publishing Limited
Keywords
- ASC
- Arousal
- Autism
- Behavioural data
- Emotional dysregulation
- Engagement
- Physiological signals
- Rumble moments
- Tracking
- Wearables
ASJC Scopus subject areas
- Health(social science)
- Rehabilitation
- Computer Science Applications
- Management of Technology and Innovation