A Cooking Support System for Seasoning with Smart Cruet

Yuta Kido, Teruhiro Mizumoto, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In recent years, the number of people who use online recipe services in order to cook has increased. It is difficult to match food taste to user’s preference because an online recipe page shows a recipe to realize just one taste even though there are countless numbers of recipes in an online recipe service. Our preliminary experiment using convenience food to investigate the user’s preference showed that the preference of almost participants differed from the taste of food cooked following the recipe printed in the package. It has also been reported that 76.5% of housewives are interested in cooking activities. However, using measuring spoon is difficult to use in order to determine the exact amount of seasonings. When we conducted a preliminary experiment to confirm the error between the input amount based on a rough estimation and the specific amount, the average error for small spoon was 46.2%, and the average error for large spoon was 31.8% even though the participants cook frequently. Especially, for an elderly person requiring low salt or low sugar, if the error becomes too big than appropriate amount, leading to endangering his life or losing the pleasures of eating. However, since there is no device currently in use that can assist in putting seasonings, a device other than measuring spoon is needed to determine the amount of seasoning for cooking. In this research, we aim to bring the taste of food with an online recipe close to the user’s preferable taste without burdening the user. In this paper, we propose a cooking support system which analyzes user’s preference from user’s feedback according to the five grade evaluation for each meal, adjusts the amount of seasoning for a recipe depending on user’s preference, and supports to add the seasoning by Smart Cruet equipped with motion sensors, LED light, and BLE communication interface. We conducted an experiment for 14 days to confirm how many days are needed to bring the adjustment of the seasonings close to the preferable taste for the user. We were able to reach the desired adjustment in 7 days. Furthermore, we found Smart Cruet could measure the adding amount of seasoning with 5.56% average error.

Original languageEnglish
Title of host publicationHuman Aspects of IT for the Aged Population. Social Media, Games and Assistive Environments - 5th International Conference, ITAP 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
EditorsGavriel Salvendy, Jia Zhou
PublisherSpringer Verlag
Pages369-382
Number of pages14
ISBN (Print)9783030220143
DOIs
Publication statusPublished - Jan 1 2019
Event5th International Conference on Human Aspects of IT for the Aged Population, ITAP 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019 - Orlando, United States
Duration: Jul 26 2019Jul 31 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11593 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Human Aspects of IT for the Aged Population, ITAP 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
CountryUnited States
CityOrlando
Period7/26/197/31/19

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Kido, Y., Mizumoto, T., Suwa, H., Arakawa, Y., & Yasumoto, K. (2019). A Cooking Support System for Seasoning with Smart Cruet. In G. Salvendy, & J. Zhou (Eds.), Human Aspects of IT for the Aged Population. Social Media, Games and Assistive Environments - 5th International Conference, ITAP 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings (pp. 369-382). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11593 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-22015-0_29