Abstract
applications in this domain often disregard the complex array of factors that shape food perceptions and practices, leading to exclusion and disengagement. At the same time, AI offers opportunities to adapt digital systems based on individual preferences and behaviours. This paper reports the first stage of work to design an AI-powered digital tool that introduces users to principles of healthy and sustainable eating across different cultural contexts. Using cultural probes and semi-structured interviews, we investigate lived experiences and socio-cultural connections to food and eating practices. Our findings reveal the diversity of eating frameworks and highlight the need for adaptive AI technologies that can support tacit knowledge and accommodate varying understandings of health and sustainability. We contribute to advancing inclusive and culturally resonant AI design, with the potential to increase the engagement and impact of digital tools promoting dietary change.
Keywords
Food; Culture; Cultural probes; Human-centered AI
DOI
https://doi.org/10.21606/iasdr.2025.178
Citation
Groves, E., Erol, Z., Baez-Lugo, S., Henchoz, N.,and Motta, M.(2025) Cultural Resonance – understanding food cultures to inform adaptive AI for healthy and sustainable eating, in Chang, C.-Y., and Hsu, Y. (eds.), IASDR 2025: Design Next, 02-05 December, Taiwan. https://doi.org/10.21606/iasdr.2025.178
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Conference Track
Track 10 - Design Practices & Impacts
Cultural Resonance – understanding food cultures to inform adaptive AI for healthy and sustainable eating
applications in this domain often disregard the complex array of factors that shape food perceptions and practices, leading to exclusion and disengagement. At the same time, AI offers opportunities to adapt digital systems based on individual preferences and behaviours. This paper reports the first stage of work to design an AI-powered digital tool that introduces users to principles of healthy and sustainable eating across different cultural contexts. Using cultural probes and semi-structured interviews, we investigate lived experiences and socio-cultural connections to food and eating practices. Our findings reveal the diversity of eating frameworks and highlight the need for adaptive AI technologies that can support tacit knowledge and accommodate varying understandings of health and sustainability. We contribute to advancing inclusive and culturally resonant AI design, with the potential to increase the engagement and impact of digital tools promoting dietary change.