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Ayaka Sato

dblp:129/5068 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2014
0000-0001-6754-9258ORCID · corroborated

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

Human-computer interaction and ubiquitous computing · 2 · 2 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
Ubiquitous computing and smart environments · 77% Personal fabrication and tangible interfaces · 12% Interaction techniques and input · 12%

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Ubiquitous computing and smart environments
smart home
0.112012
CookTab: smart cutting board for creating recipe with real-time feedback · UbiComp 2012
Ubiquitous computing and smart environments › smart home
smart kitchen
0.112012
CookTab: smart cutting board for creating recipe with real-time feedback · UbiComp 2012

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

sensor-based activity recognition · 0.1
YearPublicationVenuePosition
2014 MimiCook: a cooking assistant system with situated guidance
abstract
Referring to documents is common when making things, but there is a difficulty caused by the gap between a written description and the actual context of making. For example, when cooking following a recipe, people may lose their current position in the recipe, misunderstand the required amount of ingredients because of complicated measuring units, or skip steps by mistake. We address these problems by selecting cooking as our domain. Our proposed cooking support system, MimiCook, embodies a recipe in a real kitchen counter and directly navigates a user. The system consists of a computer, a depth camera, a projector, and a scaling device. It displays step-by-step instructions directly onto the utensils and ingredients, and controls the guidance display in accordance with the user's situations. The integrated scaling device also helps users to avoid mistakes with measuring units. Results of our user study shows participants found it easier to cook with the system and even subjects who had never cooked the assigned recipe did not make any mistakes.
Ayaka Sato, Keita Watanabe, Jun Rekimoto
TEI1
2012 CookTab: smart cutting board for creating recipe with real-time feedback
abstract
Although many cooking recipes have been shared in the world, there are still many homemade meals that are never written down as recipes. The difficulty to create recipes of such homemade meals lies on (1) experienced cookers might not have accurate information of ingredients (e.g., weight and timing) since they often decide the amount of ingredients just by intuition, (2) they often have trouble to record such accurate information while cooking. To solve these problems, we propose a smart cutting board, CookTab, which allows a user to easily record his/her cooking activities (e.g., the names and quantities of ingredients) while provides real-time feedback to motivate him/her.
Ayaka Sato, Koji Tsukada
UbiComp1