INTERFACE PROJECTS

Human-centered interfaces from an interface-centered human:

Food through the Interface

Improving public health and promoting food justice by providing the right information at the right time.



CHALLENGE
Promote food justice and food security for the most vulnerable, across the food system.

PROJECT
Research into how the interface of food affects production and consumption led to Fare+Square, a mobile app and digital assistant that leverages AI to provide grocery pricing, recommendations and nutritional assistance program information through simple notifications and gamification interfaces.
DETAILS
Harvard Graduate School of Design (GSD) + School of Engineering and Applied Sciences (SEAS)
Collaborative Design Engineering Studio
Chuck Hoberman, Peter Stark and Jock Herron, instructors
Zeerak Ahmed, Terra Moran and Karen Su, team members

AFTER
Published in Food Systems.

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Food through the Interface is part of a year-long research and design exploration of food systems, across scales ranging from the molecular to macroeconomic. Based on an understanding of food as oriented around the consumer interface, the project aims to challenge expectations about distribution and consumption — reshaping both eating habits and production models.



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From system to shelf, and back again

As a team, we first set out to explore the food system. Our research explored industrial agriculture, food processing and production as well as local farms, markets and restaurants. We spoke to farmers, business owners, government officials and everyday consumers.

Beginning with a basic assumption about food as a closed system of production and consumption, we rapidly found that it get a lot more complicated — the food system contains many elements and diverging paths.

And while we uncovered a very complicated system with many problems, we kept returning to the most basic food experience for most people in the US: the time right before food purchase, typically in front of a grocery store shelf.




Faced with staggering amounts of choice, how do consumers decide what to eat? Our research revealed that many people struggle to eat cheaply and healthily, particularly those with limited means or facing decision fatigue after long work days. Visits to stores like Dorchester’s Daily Table revealed the even in the best contexts, shopping well is hard.

Mapping the system in and around the moment of decision helped us to understand the many interactions involved. Even places like Boston public schools became key points for promoting food availability, through their school lunch and weekend take-home programs.
 



Finding the right place and way to intervene

Deciding that we wanted to work at the interface of food, we sketched a broad range of ideas. These ranged from healthy food vending machines, smarter refrigerators, augmented grocery store experiences, or even new value-added tax programs that would return benefits to consumer.

We felt in the end, however, that what was needed most was a digital assistant for grocery shopping: a low-touch information service that would be specifically designed for low-income consumers on nutritional assistance programs, but open to use by all consumers. We wanted this service, Fare+Square, to provide the right information at the right time.



   

Finding the right place and way to intervene

Deciding that we wanted to work at the interface of food, we sketched a broad range of ideas. These ranged from smarter refrigerators, augmented grocery store experiences, even new value-added tax programs that would return benefits to consumer.

We felt in the end, however, that what was needed most was a digital assistant for grocery shopping: a low-touch information service that would be specifically designed for low-income consumers on nutritional assistance programs, but open to use by all consumers. We wanted this service, Fare+Square, to provide the right information at the right time.




Designing for an augmented intelligence

Looking to a near-term future, we designed Fare+Square as an intelligent digital assistant, determining the types of data it might leverage to better understand a consumer’s preferences and needs.





Seeking to better understand Fare+Square’s impact on food systems as a whole, we also built a simulation model. Exploring the effect of notifications and bonus programs, we believed that the app applied at scale could help to address problems within food systems in cities.





Still curious? Check out some of my other work:


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︎    Get in touch: email, GitHub, LinkedIn.