Abstract
This paper proposes a new design research approach for “Designing Artificial Intelligence (AI) for Home
Wellbeing” as a new research field to collaboratively develop AI technologies for home wellbeing with
stakeholders, such as end-users, and disciplinary experts, rather than leaving design solely to AI experts.
Designing AI for home wellbeing is significant as AI applications progressively aBect home life. AI can
identify trends and/or themes from live data, such as of images, video clips, sounds, or text, (Samoili et
al. 2021) and is increasingly deployed in the home, such as recognising abnormal activity for security or
monitoring occupants’ behavioural patterns for managing physical health (Guo et al. 2019).
The home can play a significant part in supporting both psychological and physiological wellbeing
through its central role in everyday living. For example, the home can satisfy fundamental physiological
needs for wellbeing, such as shelter and security through its physicality, and psychological needs for
wellbeing, such as social connection and intimacy, by facilitating communal eating and social interaction
between occupants (Corrigan-Kavanagh and Escobar-Tello 2018). Given the strong influence of home on
wellbeing, AI for the home should enhance, introduce, or support home wellbeing. However, there
currently exists limited research on design methods and approaches for engaging stakeholders, including
end-users, and diBerent disciplines in AI development and deployment (Hossain and Ahmed 2021;
Delgado, Barocas, and Levy 2022), creating barriers for designing AI for home wellbeing. This paper calls
for further scholarship in “Designing AI for Home Wellbeing” while presenting initial findings from
research developing this new field.