Publication Details

Download

Sophia Sakel, Sven Mayer
Exploring Opportunities for Data-Driven Wellbeing Support through Positive Reinforcements
Workshop on Designing (with) AI for Wellbeing @ Conference on Human Factors in Computing Systems (CHI `24), May 11-16, 2024, Honolulu, HI, USA (bib)

Modern technologies support usersâ wellbeing, enabling the quantification of user behavior to allow for holistic insights into mental health in its multifaceted nature. Current research leverages personal data gained through mobile sensing for problem-oriented support of poor health conditions. We argue that data-driven approaches can also be used to craft positive user support on the broader mental health continuum. Moreover, artificial intelligence offers novel opportunities to design positive technology that identifies complex behaviors, contexts, and user wellbeing interplays. These insights can be helpful for self-reflection or positive reinforcement. It can foster designs that promote healthy habits, supporting users in structuring their days accordingly and expanding interventions to embed into daily experiences to adapt to specific contexts and situations in situ. In this work, we highlight the potential of context-aware user support, which is driven by artificial intelligence coupled with mobile sensing. In detail, we present four examples to underpin the support potential.