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dc.contributor.authorLin, Ying-Ju
dc.contributor.authorPunpongsanon, Parinya
dc.contributor.authorWen, Xin
dc.contributor.authorIwai, Daisuke
dc.contributor.authorSato, Kosuke
dc.contributor.authorObrist, Marianna
dc.contributor.authorMueller, Stefanie
dc.date.accessioned2022-10-19T15:02:13Z
dc.date.available2021-11-01T17:47:50Z
dc.date.available2022-10-19T15:02:13Z
dc.date.issued2020-04-21
dc.identifier.urihttps://hdl.handle.net/1721.1/137006.2
dc.description.abstract© 2020 ACM. Personalization of eating such that everyone consumes only what they need allows improving our management of food waste. 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.en_US
dc.language.isoen
dc.publisherACMen_US
dc.relation.isversionof10.1145/3313831.3376421en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceACMen_US
dc.titleFoodFab: Creating Food Perception Illusions using Food 3D Printingen_US
dc.typeArticleen_US
dc.identifier.citationLin, Ying-Ju, Punpongsanon, Parinya, Wen, Xin, Iwai, Daisuke, Sato, Kosuke et al. 2020. "FoodFab: Creating Food Perception Illusions using Food 3D Printing." Conference on Human Factors in Computing Systems - Proceedings.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.relation.journalConference on Human Factors in Computing Systems - Proceedingsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2021-04-08T14:21:11Z
dspace.orderedauthorsLin, Y-J; Punpongsanon, P; Wen, X; Iwai, D; Sato, K; Obrist, M; Mueller, Sen_US
dspace.date.submission2021-04-08T14:21:19Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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