TY - GEN
T1 - A Cooking Support System for Seasoning with Smart Cruet
AU - Kido, Yuta
AU - Mizumoto, Teruhiro
AU - Suwa, Hirohiko
AU - Arakawa, Yutaka
AU - Yasumoto, Keiichi
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85069862687&partnerID=8YFLogxK
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U2 - 10.1007/978-3-030-22015-0_29
DO - 10.1007/978-3-030-22015-0_29
M3 - Conference contribution
AN - SCOPUS:85069862687
SN - 9783030220143
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 369
EP - 382
BT - 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
A2 - Salvendy, Gavriel
A2 - Zhou, Jia
PB - Springer Verlag
T2 - 5th 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
Y2 - 26 July 2019 through 31 July 2019
ER -