Abstract
Using decision trees, we investigated the relationship between stress condition and the nutrients contained in the consumed foods during the stress condition. The objective of this study is to develop a prospective dish recommendation system. Some explicit analyses of the nutrients preferred by people with high stress condition were performed. Thus, we were able to find the possibility of a dish recommending system based on nutrients and stress level.
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Acknowledgements
This work was partially supported by JSPS KAKENHI grants (No. 25240043) and TISE Research Grant of Chuo University.
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Kato, H., Nakata, T., Kato, T. (2018). Modeling the Relationship Between Stress and Appetite to Create a Dish Recommendation System Based on Desired Nutrients. In: Chung, W., Shin, C. (eds) Advances in Affective and Pleasurable Design. AHFE 2017. Advances in Intelligent Systems and Computing, vol 585. Springer, Cham. https://doi.org/10.1007/978-3-319-60495-4_40
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