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Ying-Ju Lin

dblp:264/7312 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2020
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Personal fabrication and tangible interfaces · 77% Health and well-being technologies · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Personal fabrication and tangible interfaces › digital fabrication
food 3d printing
0.412020
FoodFab: Creating Food Perception Illusions using Food 3D Printing · CHI 2020

Methods — techniques the papers use, named apart from their topics

user study · 0.4computational model · 0.4
YearPublicationVenuePosition
2020 FoodFab: Creating Food Perception Illusions using Food 3D Printing
abstract
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.
Ying-Ju Lin, Parinya Punpongsanon, Xin Wen 0025, Daisuke Iwai, Kosuke Sato, Marianna Obrist, Stefanie Mueller 0001
CHI1