FoodFab: creating food perception illusions using food 3D printing

Lin, Ying-Ju, Punpongsanon, Parinya, Wen, Xin, Iwai, Daisuke, Sato, Kosuke, Obrist, Marianna and Mueller, Stefanie (2020) FoodFab: creating food perception illusions using food 3D printing. ACM CHI Conference on Human Factors in Computing Systems (CHI 2020), Honolulu, Hawaii, USA, 25 - 30 April, 2020. Published in: CHI '20: CHI Conference on Human Factors in Computing Systems. 1-13. ACM, Honolulu HI USA. ISBN 9781450367080

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Food 3D printing enables the creation of customized food structures based on a person’s individual needs. In this paper, we explore the use of food 3D printing to create perceptual illusions for controlling the level of perceived satiety given a defined amount of calories. We present FoodFab, a system that allows users to control their food intake through modifying a food’s internal structure via two 3D printing parameters: infill pattern and infill density. In two experiments with a total of 30 participants, we studied the effect of these parameters on users’ chewing time that is known to affect people’s feeling of satiety. Our results show that we can indeed modify the chewing time by varying infill pattern and density, and thus control perceived satiety. Based on the results, we propose two computational models and integrate them into a user interface that simplifies the creation of personalized food structures.

Item Type: Conference Proceedings
Additional Information: ACKNOWLEDGEMENTS We would like to thank Isabel Qamar for her help with the video narration. This work has also been supported by the JSPS KAKENHI under Grant No. JP15H05925 and JP19K20321
Keywords: personal fabrication, food perception, food-interaction design, food 3D printer, fabrication techniques
Schools and Departments: School of Engineering and Informatics > Informatics
Research Centres and Groups: Creative Technology
Depositing User: Lucy Arnold
Date Deposited: 29 Jan 2020 09:29
Last Modified: 28 Apr 2020 15:21

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Project NameSussex Project NumberFunderFunder Ref
SenseX - Sensory Experiences for Interactive TechnologiesG1589EUROPEAN UNIONH2020-ERC-2014-STG-638605