FoodFab: Creating Food Perception Illusions using Food 3D Printing
FoodFab: Creating Food Perception Illusions using Food 3D Printing
复制标题
DOI：
10.1145/3313831.3376421
复制
发表时间：
2020-04
期刊：
影响因子：
--
通讯作者：
Ying-Ju Lin;Parinya Punpongsanon;Xin Wen;D. Iwai;Kosuke Sato;Marianna Obrist;Stefanie Mueller
中科院分区：
文献类型：
--
作者：
Ying-Ju Lin;Parinya Punpongsanon;Xin Wen;D. Iwai;Kosuke Sato;Marianna Obrist;Stefanie Mueller
个性化的饮食，使每个人只吃他们需要的东西，可以改善我们对食物浪费的管理。在本文中，我们探索了使用食品3D打印来创建感知错觉，以控制给定一定量卡路里的感知饱腹感水平。我们介绍了FoodFab，这是一个允许用户通过两个3D打印参数修改食物内部结构来控制食物摄入量的系统：填充图案和填充密度。在两个共有30名参与者的实验中，我们研究了这些参数对使用者咀嚼时间的影响，咀嚼时间已知会影响人们的饱腹感。我们的研究结果表明，我们确实可以修改咀嚼时间，通过改变填充模式和密度，从而控制饱腹感。基于这些结果，我们提出了两个计算模型，并将它们集成到一个用户界面中，简化了个性化食物结构的创建。
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.