• Journal of Korea Multimedia Society
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• v.25 no.8
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• pp.999-1006
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• 2022

The use of appropriate fonts is not only an aesthetic point of view, but also a factor influencing the reinforcement of meaning. However, it is a difficult process and wastes a lot of time for general users to choose a font that suits their needs and emotions. Therefore, in this study, keywords and fonts to be used in the experiment were selected for emotion-based font recommendation, and keyword values for each font were calculated through an experiment to check the correlation between keywords and fonts. Using the experimental results, a prototype of a keyword-based font recommendation system was designed and the possibility of the system was tested. As a result of the usability evaluation of the font recommendation system prototype, it received a positive evaluation compared to the existing font search system, but the number of fonts was limited and users had difficulties in the process of associating keywords suitable for their desired situation. Therefore, we plan to expand the number of fonts and conduct follow-up research to automatically recommend fonts suitable for the user's situation without selecting keywords.

• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.5
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• pp.825-839
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• 2021

This study aims to develop jacquard fashion masks using traditional patterns and investigates the preference and emotions of consumers for them. Nine patterns were designed with the motifs of plum flower, turtle, and geometric patterns using an Adobe Illustrator program. After that, 20 kinds of jacquard fabrics were developed using those patterns, and prototype masks were made. Furthermore, data were collected using a survey of 231 adult consumers to understand the emotional images evoked by jacquard fashion masks with traditional patterns. The results of the research show that the emotional dimension derived from jacquard fashion masks with traditional patterns consists of seven factors: luxurious image, frugal image, feminine image, oriental image, sporty image, geometrical image, generous image. We found that consumers preferred the M6 with the plum flower pattern as the motif as the most preferred design, while M13 with the geometric pattern as the motif was the lowest preferred.

• Journal of the Korean housing association
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• v.11 no.2
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• pp.107-116
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• 2000

The purpose of this study is to investigate the relation between the exterior environmental factors and sensibility responses in apartment housing estates. The finding of the study may be summerized as follow: 1) The method of analysis was that the adequacy of 214 sensibility vocabularies primarily drawn were analyzed by the evaluation group through questionnaire. As a result of factor analysis on them, 36 sensibility vocabularies were finally drawn and used as a tool for evaluation. 2) 22 elements were drawn as physical elements that shows sensibility responses according to residential complexes and classified roughly into five factors; the architectural factor, the rest space, the horizontal system, the design factor, and the annexed facilities. 3) The average score for sensibility items by complexes suggested that the sensibility contents would vary depending on the physical conditions of facilities by complexes. 4) It was shown that the percentages of sensibility responses by physical structural elements were 50.7% for the rest space, 24.1% for the design factor, 13.7% for the architectural factor, 8.1% for the annexed facilities, and 3.2% for the horizontal system. 5) The analysis of relation between the physical elements and the sensibility contents showed that the sensibility contents such as 'emotions', 'comfortable', 'luxury', 'symbolic', and 'intimate', had a positive relation with the physical elements such as the entrance of a complex, design element, artistic structures, and kindergarten facilities but a negative relation with the physical elements such as the shape of buildings, walkways, and separate garbage collection yards.

• Journal of Information Technology Services
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• v.21 no.4
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• pp.75-90
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• 2022

From the past to the present, reviews have had much influence on consumers' purchasing decisions. Companies are making various efforts, such as introducing a review incentive system to increase the number of reviews. Recently, as various types of reviews can be left, reviews have begun to be recognized as interesting new content. This way, reviews have become essential in creating loyal customers. Therefore, research and utilization of reviews are being actively conducted. Some studies analyze reviews to discover customers' needs, studies that upgrade recommendation systems using reviews, and studies that analyze consumers' emotions and attitudes through reviews. However, research that predicts the future using reviews is insufficient. This study used a dataset consisting of two reviews written in pairs with differences in usage periods. In this study, the direction of consumer product evaluation is predicted using KoBERT, which shows excellent performance in Text Deep Learning. We used 7,233 reviews collected to demonstrate the excellence of the proposed model. As a result, the proposed model using the review text and the star rating showed excellent performance compared to the baseline that follows the majority voting.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.4
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• pp.131-137
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• 2018

People write reviews of numerous products or services on the Internet, in their blogs or community bulletin boards. These unstructured data contain important emotions and opinions about the author's product or service, which can provide important information for future product design or marketing. However, this text-based information cannot be evaluated quantitatively, and thus they are difficult to apply to mathematical models or optimization problems for product design and improvement. Therefore, this study proposes a method to quantitatively extract user's opinion or preference about a specific product or service by utilizing a lot of text-based information existing on the Internet or online. The extracted unstructured text information is decomposed into basic unit words, and positive rate is evaluated by using existing emotional dictionaries and additional lists proposed in this study. This can be a way to effectively utilize unstructured text data, which is being generated and stored in vast quantities, in product or service design. Finally, to verify the effectiveness of the proposed method, a case study was conducted using movie review data retrieved from a portal website. By comparing the positive rates calculated by the proposed framework with user ratings for movies, a guideline on text mining based evaluation of unstructured data is provided.

• Korean Journal of Childcare and Education
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• v.9 no.4
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• pp.5-29
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• 2013

This study investigated the effects of the extension activity with fifty famous paintings on the improvement of young children's creativity and emotional intelligence. A total of thirty-one preschoolers participated in the study. There were a total of 15 preschoolers in the experimental group and 16 preschoolers in the comparison group. The measuring device of creativity was the Figural Tests of Torrance Tests of Creative Thinking (TTCT:Firural). And the measuring tool of emotional intelligence was the 'Emotional Intelligence Evaluation Tool for a Child by Teacher's Composer' developed by Younja Lee, Jongsook Lee, and Eunsu Shin (2000). To improve the accuracy of the experimental results from the post-test, a covariance analysis (ANCOVA) was conducted with the pre-test scores as covariate and the post-test scores as dependent variables. The statistical work with collected data was carried out by using PASW 18.0. The experimental group which participated in the extension activity with famous paintings showed improvement in the subordinate elements of creativity such as fluency, originality and abstraction of titles. Between the experimental group and comparison group, there was a meaningful difference statistically. The experimental group was also positively affected on all the subordinate elements of emotional intelligence such as awareness and expression of emotions, improvement of thinking by emotions, using ability of emotional knowledge, and control ability as the reflection of emotions. Through the activity, children became to respect the opinions of other friends.

• Journal of Computing Science and Engineering
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• v.6 no.2
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• pp.143-150
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• 2012

Computational techniques for topic classification can support qualitative research by automatically applying labels in preparation for qualitative analyses. This paper presents an evaluation of supervised learning techniques applied to one such use case, namely, that of labeling emotions, instructions and information in suicide notes. We train a collection of one-versus-all binary support vector machine classifiers, using cost-sensitive learning to deal with class imbalance. The features investigated range from a simple bag-of-words and n-grams over stems, to information drawn from syntactic dependency analysis and WordNet synonym sets. The experimental results are complemented by an analysis of systematic errors in both the output of our system and the gold-standard annotations.

• Journal of the Korean Home Economics Association
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• v.41 no.6
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• pp.13-28
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• 2003

The purposes of this study were to identify money altitudes of college students and to examine both socio-economic characteristics and clothing purchase behaviors by different money attitudes. For this study, guestionnaires completed by 2-year and 4-year college students (n=426) were analyzed by factor analysis, cluster analysis, X²- test, and ANOVA. The results of this study were as follows: First, the money attitudes were composed of five factors and they were categorized by three clusters: cluster of considering the money as a tool for future safety, a way of approval and filling up emotions, and inclination toward stinginess and distrust. Second, the factors which were associated with money attitudes were academic level, education level of parents, household income, students' own income, and the economic level of their households. Third, in each type of attitudes, the clothing purchase behavior had four steps of decision making: problem recognition, information search, evaluation of alternatives, and the purchase. There were significant differences in the clothing purchase behavior among the money attitude styles.

• Korean Institute of Interior Design Journal
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• v.17 no.1
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• pp.162-169
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• 2008

Philippe Starck is a famous french designer known for his creative works in all aspects of life from architectural space to product design. Especially, in regard to furniture, he designed more than 250 works with various design characteristics. This study therefore aims to examinate the characteristics of furniture designed by Philippe Starck through assessment of his design background and philosophy, evaluation of fifty or so of his works in terms of their function, form, material, and emotions, and lastly through a chronological analysis. As a result from this study, following various results are drawn as design characteristic through forty six representative cases: 1) possibility of fabrication and transformation 2) multi-function or optional function for user 3) pursuit of simplicity using the characteristic of singular material or mono block and immateriality 4) emotional approach in design 5) non-design method such as use of archetype or historical form.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.05a
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• pp.79-82
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• 2009

Movies are not only for projecting graphical contents but also for Kansei evaluation that stimulate human beings' sense and emotion in real time. Also, when one views movies or moving images with stories, including movies and dramas, the audience would often be sympathized through various factors of movies, such as performances of actors/actress, graphics, and music, are moved to tears and feel fear. Especially, emotional movement is different from impression and brought about as a result of responding to joy, which is one of the basic emotions of human beings. Moreover, it is suggested that emotion is the most positive aesthetic measurement toward objects. In this study, focusing on emotional movement that is one of many aesthetic reactions in human beings' watching movies, we developed an interface for measuring of emotional changes. The goal of this study is to apply the output of our quantitative analysis on the results of the measurements to the effective designing and production of movies.