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Towards Heuristics for AI-Based Eating Disorder Apps

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

E-pub ahead of print
Publication date12/05/2024
Host publicationDesigning (with) AI for Wellbeing Workshop at CHI 2024
Place of PublicationNew York
PublisherACM
Pages1-11
Number of pages11
<mark>Original language</mark>English
EventDesigning (with) AI for Wellbeing Workshop at CHI 2024 - Hawai, Hawaii, United States
Duration: 11/05/202416/05/2024
https://designingwithaiforwellbeing.github.io/#Workshop_themes

Workshop

WorkshopDesigning (with) AI for Wellbeing Workshop at CHI 2024
Country/TerritoryUnited States
CityHawaii
Period11/05/2416/05/24
Internet address

Workshop

WorkshopDesigning (with) AI for Wellbeing Workshop at CHI 2024
Country/TerritoryUnited States
CityHawaii
Period11/05/2416/05/24
Internet address

Abstract

Despite the societal impact of eating disorders, the exploration of mobile apps for eating disorders and in particular their AI-based features has been limited. We report a functionality review of 4 apps for eating disorders which claim to leverage AI. Findings indicate that apps provide functionalities such as tracking of thoughts and moods, and provision of interventions, including conversational agents designed by using ML and NLP, albeit the specific use of AI lacks clarity. We advance some heuristics for AI-based mobile apps for eating disorders which, by drawing from previous work, we grouped under four themes of heuristics for decision-making, personalization, productivity, and security.