Explainable artificial intelligence and mobile health for treating eating disorders in young adults with autism spectrum disorder based on the theory of change: a mixed method protocol

Omobolanle Omisade*, Alexander Gegov, Shang-Ming Zhou, Alice Good, Catherine Tryfona, Sandeep Singh Sengar, Amie-Louise Prior, Bangli Liu, Taiwo Adedeji, Carrie Miriam Toptan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Autistic children often face difficulties eating well into their early adolescence, putting them at a greater risk of developing disordered eating habits during this developmental stage. Research suggests that mobile devices are easily accessible to young adults, and their widespread use can be leveraged to provide support and intervention for autistic young adults in preventing and self-managing eating disorders. By utilising Explainable Artificial Intelligence (XAI) and Machine Learning (ML) powered mobile devices, a progressive learning system can be developed that provides essential life skills for independent living and improved quality of life. In addition, XAI can enhance healthcare professionals’ decision-making abilities by utilising trained algorithms that can learn, providing a therapeutic benefit for preventing and mitigating the risk of eating disorders. This study will utilise the theory of change (ToC) approach to guide the investigation and analysis of the complex integration of autism, ED, XAI, ML, and mobile health. This approach will be complemented by user-centred design, Patient and Public Involvement and Engagement (PPIE) tasks, activities, and a mixed method approach to make the integration more rigorous, timely, and valuable. Ultimately, this study aims to provide essential life skills to autistic young adults to prevent and self-manage eating disorders using XAI-powered mobile devices.
Original languageEnglish
Title of host publicationIntelligent Data Engineering and Analytics
Subtitle of host publicationProceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023)
EditorsVikrant Bhateja, Fiona Carroll, João Manuel R S Tavares, Sandeep Singh Sengar, Peter Peer
Place of PublicationSingapore
PublisherSpringer Nature
Pages31-44
Volume371
ISBN (Electronic)9789819967063
ISBN (Print)9789819967056
DOIs
Publication statusPublished - 26 Nov 2023
Event11th International Conference on Frontiers of Intelligent Computing: Theory and Applications: FICTA 2023 - Cardiff, United Kingdom
Duration: 11 Apr 202312 Apr 2023

Publication series

NameSmart Innovation, Systems and Technologies
PublisherSpringer Nature
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference11th International Conference on Frontiers of Intelligent Computing: Theory and Applications
Country/TerritoryUnited Kingdom
CityCardiff
Period11/04/2312/04/23

Keywords

  • Eating Disorder
  • Explainable Artificial Intelligence
  • Machine Learning
  • Mobile Health
  • Young Adults
  • Autism Spectrum Disorder
  • Theory of Change
  • Mixed Method Protocol

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