Data Edibilization: Representing Data with Food
summary
A new method encodes data into edible attributes and tests it with a data tasting workshop of 15 volunteers who sample three concrete designs: cheese flavors for Asian identity, a salad mapping degree counts (bitter arugula = PhD) that elicits a memorable bitter PhD reaction, and country sauces that let participants guess nations. Results highlight attractiveness, multisensory richness, memorability and sociability but also food literacy, perishability, health, and scalability limits; enabling tech includes 3D food printing and Chef Watson.
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chapters (7)
- 0:00Introduction to Data Edibilization
- 1:30Workshop study design
- 3:40Advantages of food-based data
- 6:49Limitations and challenges
- 8:38Pragmatic process methods
- 9:45Future research directions
- 10:30Q&A with audience
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