# Designing a Holistic At-Home Learning Aid for Autism

arXiv: https://arxiv.org/abs/2002.04263 · HTML: https://mlsanity.com/paper/2002.04263/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 Feb 2020.

## Built on by (most cited first, 4 of 4)

- [Computer Vision Estimation of Emotion Reaction Intensity in the Wild](https://mlsanity.com/paper/2303.10741/) (2023)
- [An Exploration of Active Learning for Affective Digital Phenotyping](https://mlsanity.com/paper/2204.01915/) (2022)
- [Personalization of Stress Mobile Sensing using Self-Supervised Learning](https://mlsanity.com/paper/2308.02731/) (2023)
- [Personalization of Affective Models to Enable Neuropsychiatric Digital Precision Health Interventions: A Feasibility Study](https://mlsanity.com/paper/2311.12812/) (2023)

## Abstract (arXiv)

In recent years, much focus has been put on employing technology to make novel behavioural aids for those with autism. Most of these are digital adaptations of tools used in standard behavioural therapy to enforce normative skills. These digital counterparts are often used outside of both the larger therapeutic context and the real world, in which the learned skills might apply. To address this, we are designing a system of automatic expression recognition on wearable devices that integrates directly into the families daily social interactions, to give children and their caregivers the tools and information they need to design their own holistic therapy. In order to develop a tool that will be truly useful to families, we proactively include children with autism and their families as co-designers in the development process. By providing an app and interface with interchangeable social feedback options, we aim to produce a framework for therapy that folds into their daily lives, tailored to their specific needs.