• Science of Emotion and Sensibility
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• v.14 no.2
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• pp.257-268
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• 2011

We define a 'dominant emotion' as acting dominantly for unit time, and propose methodology to extract dominant emotion in a literature automatically. Due to the nature of the Korean language, it is able to be changed or reversed owns meanings as desinence. But it might be possible to extract a dominant emotion in a text has a small quantity like a fiction or an essay. A process to extract a dominant emotion in a literature is as follows. At first, extract morphemes in a whole text. And dispart words having emotional meaning as matching emotion terms database. Map disported terms to a affective circumplex model and matching it with basic emotion. Finally, analyze dominant emotion according to matched basic emotion. And we adjust our methodology to two literature; modem fiction 'A lucky day' by Jingeon, Hyun and essay 'An old man who shave a bat' by Woyoung, Yun. As a result, it was possible to grasp flows of dominant emotion.

• Science of Emotion and Sensibility
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• v.5 no.1
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• pp.49-60
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• 2002

The aims of the study are first, in other to meet the demand for a new product design process, to review the prototype theory and to find out the conceptual structure of product aesthetics, which is another properly thought to be as important as the typical pattern in an effort to patch up the theory second to help designers overcome the limits of idea generation and create consumer oriented designs with a high success rate by setting up a new product design process that is established through the application of the aesthetically influential factor 'proportion'based on the preceeding studies that tested product aesthetics measuring devices. In other words, this study tries to find out product categories, making use of the prototype theory to introduce an ideal proportion for product design, recognizing the importance of proportion by conducting product pattern analysis: to create a differentiated method that can product consumer oriented designs, even if it only manipulate proportion and to establish a new design process that can systematically explain the methodology for various form generation that applies proportion. This study reviews the theoretical aspects of concepts pertaining to the above … and, based on them, empirically tests them by patting to use the programs, for proportion manipulation. This study was conducted in the following way: To begin with, this study takes out proportion out of some aesthetically influential factors that has a great impact on the way consumers prefer certain product designs and tries to see how proportion affects the consumer preference when consumers select a product. In addition, we could analyze the difference between the ideal proportion that consumers prefer and the traditional golden proportion produced through theoretical studies. The correlations between preferred proportion and ideal proportion, and preferred proportion and golden proportion could be shown. In order that we may create form variations through more detailed proportion manipulation on the basis of the ideal proportion verified as preferable, we again applied the proportion factor to the process utilizing PDS(proportion Distortion System). In the way the restraint of form generation could be pursued. All in all, this study makes an attempt to set up a design process to create new product forms through the application of Proportion.

• Science of Emotion and Sensibility
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• v.7 no.1
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• pp.23-28
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• 2004

In this paper, we investigated the affective components of facial beauty. In study 1, we did factor analysis of affective evaluations of the faces, and about 65% of the variances are explained by only two factors. Two factors were named 'sharp' and 'soft', respectively. In study 2, the correlation between facial beauty and affective evaluations was analyzed, and the correlation between facial beauty and sharp factor was significant. In study 3, we made the new images by morphing and warping the faces: 'average', 'high-ranked', and 'exaggerated'. The participants evaluated the 'high-ranked' face more beautiful than the 'average' face, and the 'exaggerated' face more beautiful than the 'high-ranked' face. The rating of affective words on the faces showed that the 'average' face was related to 'soft' impression, the 'high-ranked' image to 'sharp' impression, and the 'exaggerated' face might have double impression. These results might support the directional hypothesis for the facial beauty.

• Science of Emotion and Sensibility
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• v.13 no.1
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• pp.225-234
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• 2010

To investigate the role of positive emotion in education, we have reviewed the previous studies on positive emotion, learning and motivation. In the present study, we examined the definition of positive emotion, and influences of positive emotion on cognition, creativity, social relationship, psychological resource such as life satisfaction, and interactive relationship among positive emotion, motivation and learning. To investigate the role of positive emotion on motivation and learning more scientifically, we examined the recent results of neuroscience. In other words, we have reviewed diverse research on positive emotion, learning and motivation based on brain-based learning. We also examined the research of autonomy-supportive environment as the specific example of improving positive emotion. As one of the most effective methods for emotional education, we discussed brain-based learning, the new research field. As the future prospects, we discussed the implications, possibilities and limitations of brain-based learning.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2008.10a
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• pp.74-77
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• 2008

Online shoppers are not able to try clothing on. Therefore, the pictures of clothing on the website play a significant role when shoppers make decision on their purchase. There are generally three different ways to show clothing at online shops. The first one is showing only clothing images, and the second one is showing the pictures that have actual fitting models wearing clothing on (In this case, Model's face is mostly not shown in the picture.), and the third is showing the pictures of professional fitting models who wear goods. The shopping malls adopt each of the different ways but little is known about affect on purchasing from these three ways. The aim of this study is to figure out how the online shopper's emotional status is affected by these three ways of presenting pictures of clothing. At first, we developed a set of adjective words of human emotion to set up the evaluation criteria for user's emotional status. Those adjectives are originally from the precedent research on human emotion. To cut 99 adjectives down to a proper number for the criteria, we conducted a preliminary survey, and finally, 5 adjectives are selected as appropriate criteria for evaluating users' emotional status while they are shopping. Those five adjectives are 'possess','sensual', 'unique', 'tasteful', and 'stylish'. Then, we conducted the main survey showing 10 kinds of cloth (each cloth was consist of 3 ways). And in the page of model images, we measured the model's preference for understanding the relation with customer's emotion criteria of the product. As a result of the test there was statistically significant difference between product only images and anonymous images, but there was no significant difference between anonymous images and model images. And the preference of the model and value of the emotion criteria have large correlation except 'unique' criteria. It is expected that the result in this study will help to build new marketing strategy which satisfy customers' emotion.

• Science of Emotion and Sensibility
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• v.15 no.1
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• pp.97-104
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• 2012

Recently, a big text data has been produced by users, an opinion mining to analyze information and opinion about users is becoming a hot issue. Of the opinion mining, especially a sentiment analysis is a study for analysing emotions such as a positive, negative, happiness, sadness, and so on analysing personal opinions or emotions for commercial products, social issues and opinions of politician. To analyze the sentiment analysis, previous studies used a mapping method setting up a distribution of emotions using two dimensions composed of a valence and arousal. But previous studies set up a distribution of emotions arbitrarily. In order to solve the problem, we composed a distribution of 12 emotions through carrying out a survey using Korean emotion words list. Also, certain emotional states on two dimension overlapping multiple emotions, we proposed a selection method with Roulette wheel method using a selection probability. The proposed method shows to classify a text into emotion extracting emotion terms from a text.

• Science of Emotion and Sensibility
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• v.19 no.2
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• pp.79-88
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• 2016

Modern society is living in material affluence after the Industrial Revolution. Meanwhile, consumer needs, in conformity with product diversification, are also being diversified. Modern consumers, unlike those of the past, are trending towards individual consumption that satisfies emotion and values instead of simple goal-oriented consumption. A model case is that of Starbucks. Starbucks has grown into the global coffee franchise it is today through emotional marketing that sells an atmosphere that is unique to Starbucks, consisting of store decorations, store music, employee service, and charming coffee aromas that are identical in every store anywhere in the world. Because this method is marketing that stimulates human emotion, it is assigned to and appeals to human senses and sensitivity. In other words, the charm of emotion marketing is that it draws out consumer emotion, produces positive reactions towards products, and leads to consumption. The utilization of emotions for products or service differentiates brand image and is becoming a key method in reinforcing brand royalty. In particular, more importance is being placed on customer service to strongly impress consumers. Intangible service is becoming the best way to impress customers.

• Science of Emotion and Sensibility
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• v.24 no.1
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• pp.3-10
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• 2021

This study examined the effect of intentional thought avoidance(i.e., thought suppression and thought substitution) using "Think and No Think" task. Two syllable words were selected, and recall test was performed with a single subject group. recall accuracy of them was measured in two recall conditions(cue recall and target recall) and four training conditions(thought, thought suppression, thought substitution, and baseline). The results showed that recall accuracy in cue recall condition was better than in target recall condition, regardless of training conditions, and recall accuracy in thought condition was better than in other training conditions, regardless of recall conditions. Also there was significant interaction between recall and training conditions: For thought suppression. there was no difference between two recall conditions, whereas for thought substitution, recall accuracy in cue recall condition was better than in target condition. These findings indicate that thought avoidance strategies, including both thought suppression and thought substitution, are effective in avoiding the specific thought intentionally, and thought suppression and thought substitution could be applied by different mechanism.

• Smart Media Journal
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• v.10 no.1
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• pp.116-123
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• 2021

Due to the rapid growth of the online fashion market and the resulting expansion of online choices, there is a problem that the seller cannot directly respond to a large number of consumers individually, although consumers are increasingly demanding for more personalized recommendation services. Images are being tagged as a way to meet consumer's personalization needs, but when people tagging, tagging is very subjective for each person, and artificial intelligence tagging has very limited words and does not meet the needs of users. To solve this problem, we designed an algorithm that recognizes the shape, attribute, and emotional information of the product included in the image with AI, and codes this information to represent all the information that the image has with a combination of codes. Through this algorithm, it became possible by acquiring a variety of information possessed by the image in real time, such as the sensibility of the fashion image and the TPO information expressed by the fashion image, which was not possible until now. Based on this information, it is possible to go beyond the stage of analyzing the tastes of consumers and make hyper-personalized clothing recommendations that combine the tastes of consumers with information about trends and TPOs.

• Science of Emotion and Sensibility
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• v.13 no.3
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• pp.533-540
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• 2010

This study was designed to examine the difference in visual attention between the evaluations of facial attractiveness and facial trustworthiness, both of which may be the two most fundamental social evaluation for forming first impressions under various types of social interactions. In study 1, participants were asked to evaluate the attractiveness and trustworthiness of 40 new faces while their gaze directions being recorded using an eye-tracker. The analysis revealed that participants spent significantly longer gaze fixation time while examining certain facial features such as eyes and nose during the evaluation of facial trustworthiness, as compared to facial attractiveness. In study 2, participants performed the same face evaluation tasks, except that a word was briefly displayed on a certain facial feature in each face trial, which were then followed by unexpected recall tests of the previously viewed words. The analysis demonstrated that the recognition rate of the words that had been presented on the nose was significantly higher for the task of facial trustworthiness vs. facial attractiveness evaluation. These findings suggest that the evaluation of facial trustworthiness may be distinguished by that of facial attractiveness in terms of the allocation of attentional resources.