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FoodFab: creating food perception illusions using food 3D printing

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conference contribution
posted on 2023-06-09, 20:26 authored by Ying-Ju Lin, Parinya Punpongsanon, Xin Wen, Daisuke Iwai, Kosuke Sato, Marianna Obrist, Stefanie Mueller
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.


SenseX - Sensory Experiences for Interactive Technologies; G1589; EUROPEAN UNION; H2020-ERC-2014-STG-638605


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  • Published

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  • Accepted version


CHI '20: CHI Conference on Human Factors in Computing Systems



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Event name

ACM CHI Conference on Human Factors in Computing Systems (CHI 2020)

Event location

Honolulu, Hawaii, USA

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Event date

25 - 30 April, 2020

Place of publication

Honolulu HI USA



Department affiliated with

  • Informatics Publications

Research groups affiliated with

  • Creative Technology Publications


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

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