Designing (with) AI for Wellbeing

Dimitra Dritsa, Loes van Renswouw, Sara Colombo, Kaisa Väänänen, S.J.A. Bogers, Arian Martinez, Jess Holbrook, Aarnout C. Brombacher

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Designing with data and Artificial Intelligence (AI) can bring sig-
nificant value to the development of systems and technologies that
promote personal wellbeing. However, there are also unaddressed
challenges and risks connected to designing (with) AI for wellbeing,
such as the difficulties in ensuring that the generated feedback or
proposed interventions are relevant considering the large interper-
sonal variations between the current, desired and achievable level
of physical and mental wellbeing of different individuals. In this
one-day hybrid workshop, we aim to bring together design and
HCI researchers and practitioners interested in the intersection
of design, AI, and wellbeing beyond clinical applications. We will
discuss challenges in designing with AI for wellbeing originating
from a) the domains of design and b) general issues in developing
AI systems, and uncover new potential directions that emerge when
coupling design, AI and wellbeing. Our aim is to bring together
researchers and practitioners from various fields and backgrounds
who use data and AI when designing for wellbeing. Through this
workshop, we aim to create a conceptual framework that enables
the emergence of rich, meaningful, and ethical solutions for de-
signing (with) AI for wellbeing, while also providing handles to
mitigate the emergence of negative consequences.
Original languageEnglish
Title of host publicationExtended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA ’24), May 11– 16, 2024, Honolulu, HI, USA
Place of PublicationNew York, NY, USA
PublisherAssociation for Computing Machinery, Inc
Number of pages7
Publication statusAccepted/In press - 11 May 2024


  • Designing with data
  • Artificial intelligence
  • Wellbeing


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