• Science of Emotion and Sensibility
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• v.17 no.3
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• pp.15-28
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• 2014

This research was performed to identify the components and types of comfort foods and to verify gender differences on choosing comfort food in various emotional states. The total of 425 Korean college students participated in this study. The results are as follows. First, most students rated foods that give warmth and relaxation, foods that are reminiscent of happy memories, food that tastes good, were rated as types of comfort foods. On the other hand, external condition and fast food were less likely to be rated as a comfort food. Second, male students reported meat dishes, stew or soup, and alcohol as comfort foods whereas female students reported stew or soup, fruit or vegetable, and meat dishes as comfort foods. Third, the students chose different comfort food in different emotional states. In negative emotions, most students chose alcohol, chocolate, hot (spicy) food, and drinks as a comfort food. But in positive emotions, most students chose chicken as comfort foods. While male students chose alcohol as high ranking comfort food, female students chose various foods as their comfort food. The limitations of this study and suggestions for future studies were discussed.

• Science of Emotion and Sensibility
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• v.21 no.4
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• pp.11-24
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• 2018

This study was based on previous ones that demonstrate how social exclusion leads to a desire for physical warmth. Research was conducted using odor-induced emotions to predict social exclusion, leading to a pursuit of emotional warmth and avoidance of emotional distance. For this purpose, a preliminary study sought to select odors perceived to be emotionally warm and emotionally distant, after which two experiments verified differences in odor preference between the social exclusion group and the control group. Results indicated that individuals who have experienced social exclusion had a stronger preference for warm odors and a weaker preference for cold odors compared to those who have not been socially ostracized. This study has theoretical value in terms of expanding the social exclusion-induced desire for physical warmth into the emotional dimension as well as examining the avoidance of emotional coldness, which had been overlooked in previous research studies. This also leads to practical implications for comfort foods, character emotions, emotional-space design, and emotions for artificial-intelligence chatbots.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.11
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• pp.447-454
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• 2022

In the era of the 4th industrial revolution, we are living in a flood of information. It is very difficult and complicated to find the information people need in such an environment. Therefore, in the flood of information, a recommendation system is essential. Among these recommendation systems, many studies have been conducted on each recommendation system for movies, music, food, and clothes. To date, most personalized recommendation systems have recommended clothes, books, or movies by checking individual tendencies such as age, genre, region, and gender. Future generations will want to be recommended clothes, books, and movies at once by checking age, genre, region, and gender. In this paper, we propose a recommendation system that recommends personalized clothes and food at once according to the user's emotions and weather. We obtained user data from Twitter of social media and analyzed this data as user's basic emotion according to Paul Eckman's theory. The basic emotions obtained in this way were converted into colors by applying Hayashi's Quantification Method III, and these colors were expressed as recommended clothes colors. Also, the type of clothing is recommended using the weather information of the visualcrossing.com API. In addition, various foods are recommended according to the contents of comfort food according to emotions.