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Catherine Mondoa

dblp:251/1764 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · unresolved

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

Human-computer interaction and ubiquitous computing · 1

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% Interaction techniques and input · 23%

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

TopicWeightPapersLastEvidence papers
Personal fabrication and tangible interfaces › programmable materials
shape-changing food
0.412019
Morphlour: Personalized Flour-based Morphing Food Induced by Dehydration or Hydration Method · UIST 2019
Interaction techniques and input
food-based interaction
0.112019
Morphlour: Personalized Flour-based Morphing Food Induced by Dehydration or Hydration Method · UIST 2019

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

hydration · 0.4dehydration · 0.4
YearPublicationVenuePosition
2019 Morphlour: Personalized Flour-based Morphing Food Induced by Dehydration or Hydration Method
abstract
In this paper, we explore personalized morphing food that enhances traditional food with new HCI capabilities, rather than replacing the chef and authentic ingredients (e.g. flour) with an autonomous machine and heterogeneous mixtures (e.g. gel). Thus, we contribute a unique transformation mechanism of kneaded and sheeted flour-based dough, with an integrated design strategy for morphing food during two general cooking methods: dehydration (e.g. baking) or hydration (e.g. water boiling). We also enrich the design space of morphing food by demonstrating several applications. We end by discussing hybrid cooking between human and a design tool that we developed to ensure accuracy while preserving customizability for morphing food.
Ye Tao 0001, Youngwook Do, Humphrey Yang, Yi-Chin Lee, Guanyun Wang, Catherine Mondoa, Jianxun Cui, Wen Wang 0003, Lining Yao
UIST6