The environmental footprints of our diet are amongst the largest of all sectors. Not all food contributes to this footprint equally and a shift in our diet choices can positively impact it. Yet, diet habits prove notoriously hard to change. With knowledge about individual choice behaviour, intelligent recommendations could sway an individual’s choices just at the right time. Such powerful recommendation may however need vast amounts of data about people that they may not be comfortable with to share. Transparent recommendations may mean an overload of information to the user that may hinder the potential to quickly digest a recommendation, and with that the effect of the recommendation given. How we design towards meaningful yet trustworthy recommendations in face of this conflict?
This workshop we will collaboratively lay out the challenges around AI recommendations for sustainable diets. After this we will sketch how useful recommendations could be provided.
Outcomes will be:
- a map of the challenges with AI based recommendations to support sustainable food acquisition
- optionally: sketches of approaches to data collection and processing to allow useful, yet ethical recommendations
- optionally: wire-frames of user interfaces for presenting the recommendations in meaningful ways
The outcomes of the workshop may be used in ongoing academic research. In that case, participant of the workshop will have the opportunity to participate in follow-up participatory design sessions. The outcomes from the research may be used to inspire the design of a recommender system to support people to 'better' food purchases. Parts of the workshop outcomes may be presented in a publication (anonymized). The workshop host is available for follow-up discussions and can be reached through twitter
How will you deal with varying numbers of participants in your session?:Participants will be divided into groups of up to 5 participants each. A workshop hosts will be continuously available in each break-out room or jump between break-out rooms in case of high participant numbers. In case of few participants, the hosts will take a more active roll in the discussions.
I'm a PhD student in Human Computer Interaction at the Open Lab, Newcastle University. My main interests are understanding human behaviour and improving the sustainability of our choices.