• Journal of the Korean Society of Clothing and Textiles
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• v.19 no.2
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• pp.230-241
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• 1995

The purpose of this study was 1) to investigate the effect of male clothing type and facial attractiveness on the subjects' inferences of occupation for the wearers, 2) to investigate the effect of male clothing type on the inferences of occupational characteristics. The stimuli were composed of 24 color photographs which were made of 6 types of clothing and 18 wearers who were made of 3 levels of facial attractiveness in combination with 6 types of clothing. The subjects were 288 male and 288 female university students. The subjects chose an occupation among 19 occupations presented for 6 types of clothing and the wearers. Also the subjects' inferences of occupational characteristics for the clothing were measured by semantic\ulcornerdiffenential scales. The results were as follows: 1) As a whole, the infered occupation for each of the clothing types was consistent with the expected occupations in this study. "Therefore there were stereotypes about male clothing type. At the same time, the halo effect of facial attractiveness appeared when subjects infered wearer's occupation. 2) The subjects' responses to the semantic-differential scales about 6 types of clothing were factor analyzed to identify the underlying constructs of occupational characteristics. At the result, 4 factors were emerged. The first factor was interpreted to Apperance/ Ability, the second, Indi~iduality, the third, Naivety, and the fourth, Dominancy. 3) The male clothing type influenced on the 3 factors except the Dominancy factor.nancy factor.

• Journal of the Korean Society of Clothing and Textiles
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• v.19 no.4
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• pp.565-579
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• 1995

The purpose of this study was 1) to investigate the effect of male clothing type and facial attractiveness on the subjects' inferences of occupational and appearance characteristics for the wearers. The subjects 'inferences of occupational and appearance characteristics for the wearers were measured by means of semantic-differential scales and open-ended questionnaires. The stimuli were composed of 18 color photographs which were made of 3 levels of facial attractiveness in combination with 6 types of clothing. The subjects were 216 male and 216 female university students. The results were as follows: First, the responses to the semantic-differential scales were factor analyzed to identify the underlying constructs of occupational characteristics. As the result, 4 factors were emerged. The first factor was interpreted to Appearance·Ability, the second, Individuality, the third, Dominance, and the fourth, Naivety. Second, the type of clothing influenced on all the 4 factors, and was more influencial than the facial attractiveness which influenced on the 3 factors except the Naivety factor. Third, There were differences perceptions for the wearers beteen subjects 'sex type; The male subjects perceived for the wearers with categorization more exactly than the female's. Fourth, there were accordances between free-association and inference in semantic-differential scales for the wearers.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.225-234
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• 2021

This study is a cross-cultural study examining whether differences in perceptions of social gender roles in Korea and Uzbekistan have different effects on ad attitudes and product attitudes through the endorsers' gender. In particular, this study was focused on the difference between the facial expression of the endorser and the moderating effect of the ad situation in these relationships. The research results are as follows. First, the difference in the perception of social gender roles was larger in Uzbekistan than in Korea. Second, the influence of gender of endorser on ad attitude was perceived to be higher in Uzbekistan than in Korea. Third, the moderating effect of facial expression(Placid vs. Cold) in the effect of gender of advertising model on advertising attitude was found only in Uzbekistan. Fourth, the moderating effect of the ad situation (Office work vs. Family life) in the relationship between the endorsers' Gender and ad attitude was also found only in Uzbekistan. Fifth, the effect of consumer's ad attitude on product attitude showed a statistically significant positive relationship in both countries. This study reveals that cultural differences in the masculinity (or femininity) dimension between Korea and Uzbekistan are also affecting the effectiveness of ads. Therefore, this study suggests that global marketers should consider not only the existing information source effects such as reliability, professionalism, and attractiveness, but also the gender, facial expression, and ad situation of the endorser according to cultural differences when selecting an ad model.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.40 no.4
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• pp.373-382
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• 2014

The skin is an organ that covers the outside of the human body. And it regulates body temperature, performs sensory function, deliveries the drug, and represents the abnormality of the internal organs. For these reasons, people have been expressing the condition of the body based on the state of the skin of the face to detect sign of health, "you look well", "face with vitality". Depending on the degree of aging and the environment, it is a fact that skin color, skin texture, moisture and firmness could be different. In particular, the color of the skin acts as a factor that affects to determine the subjective impression such as beauty and charm. We could expect consumer's demand through the market of whitening cosmetics and skin treatment. However, existing most of the cosmetics focus on improving whiteness. The number of studies that focused on skin color is not enough. In this study, we found out the skin color condition by carrying out surveys of 100 women between 30s and 40s. Our study would be very useful to develop new cosmetic products and to satisfy customer's needs.

• The Journal of the Korea Contents Association
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• v.19 no.6
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• pp.214-221
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• 2019

Visual perception information acquired through human eyes contains much information on how to view visual stimuli using eye tracking technology, it is possible to acquire and analyze consumer visual information as quantitative data. These measurements can be used to measure emotions that customers feel unconsciously, and they can be directly collected by numerically quantifying the character's search response through eye tracking. In this study, we traced the character's area of interest (AOI) and found that the average of fixation duration, count, average of visit duration, count, and finally the time to first fixation was analyzed. As a result of analysis, it was found that there were many cognitive processing processes on the face than the character's body, and the visual attention was high. The visual attention of attraction factor has also been able to verify that attraction is being presented as an important factor in determining preferences for characters. Based on the results of this study, further studies of more characters will be conducted and quantitative interpretation methods can be used as basic data for character development and factors to be considered in determining character design.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.44 no.3
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• pp.231-238
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• 2018

The facial skin condition expresses physical healthy as well as is considered one of important factors for attractiveness. Especially, most people prefer shiny skin. So various cosmetics has been manufactured for expression of shiny skin. However, shiny skin is subjectively evaluated, and difficult to evaluate clear shininess using the existing method in oily skin. Moreover, there is no clear classification criteria between shininess and glossiness, which is assessed negatively in the skin. So there has not been a reference value by mechanical measurement to define and classify shiny skin from greasy skin. In this study, we measured skin biophysical parameters (gloss, hydration, translucency and sebum) and facial images which are selected by volunteers using sensory evaluation. According to the measurement results, the values of gloss, sebum, and translucency were similar in both shiny and greasy skin; the values of sebum and gloss increased, whereas those of translucency decreased. However only skin moisture values statistically increased in shiny skin. In conclusion, we propose objective assessment criteria for classifying shiny and greasy skin using device measurement and quantitative assessment.

• Journal of Digital Convergence
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• v.13 no.1
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• pp.535-542
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• 2015

This study performs statistical analysis through a questionnaire in order to examine effects of shapes of beards on a formation of male image in male/female workers in their 30s-40s. The findings suggest that sensitive image response factor depending on the shapes of beards functions as an important one in the modifications of attraction, character and image. Although there is a difference between male and female, in the preference for beards' shapes effective in the change of image, no difference is found in sensitive responses of them according to quantities of beards. This study has an implication for quantifying sensitive responses to the formation effect of male image depending on the shapes of them. It provides a guideline for total image making to males who want to change their external image formation according to shape changes of beards in the future, and is simultaneously expected to be used as basic and applied materials in the beauty industry for males.

• Journal of Intelligence and Information Systems
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• v.18 no.1
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• pp.39-57
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• 2012

Recently, due to the introduction of high-tech equipment in interactive exhibits, many people's attention has been concentrated on Interactive exhibits that can double the exhibition effect through the interaction with the audience. In addition, it is also possible to measure a variety of audience reaction in the interactive exhibition. Among various audience reactions, this research uses the change of the facial features that can be collected in an interactive exhibition space. This research develops an artificial neural network-based prediction model to predict the response of the audience by measuring the change of the facial features when the audience is given stimulation from the non-excited state. To present the emotion state of the audience, this research uses a Valence-Arousal model. So, this research suggests an overall framework composed of the following six steps. The first step is a step of collecting data for modeling. The data was collected from people participated in the 2012 Seoul DMC Culture Open, and the collected data was used for the experiments. The second step extracts 64 facial features from the collected data and compensates the facial feature values. The third step generates independent and dependent variables of an artificial neural network model. The fourth step extracts the independent variable that affects the dependent variable using the statistical technique. The fifth step builds an artificial neural network model and performs a learning process using train set and test set. Finally the last sixth step is to validate the prediction performance of artificial neural network model using the validation data set. The proposed model is compared with statistical predictive model to see whether it had better performance or not. As a result, although the data set in this experiment had much noise, the proposed model showed better results when the model was compared with multiple regression analysis model. If the prediction model of audience reaction was used in the real exhibition, it will be able to provide countermeasures and services appropriate to the audience's reaction viewing the exhibits. Specifically, if the arousal of audience about Exhibits is low, Action to increase arousal of the audience will be taken. For instance, we recommend the audience another preferred contents or using a light or sound to focus on these exhibits. In other words, when planning future exhibitions, planning the exhibition to satisfy various audience preferences would be possible. And it is expected to foster a personalized environment to concentrate on the exhibits. But, the proposed model in this research still shows the low prediction accuracy. The cause is in some parts as follows : First, the data covers diverse visitors of real exhibitions, so it was difficult to control the optimized experimental environment. So, the collected data has much noise, and it would results a lower accuracy. In further research, the data collection will be conducted in a more optimized experimental environment. The further research to increase the accuracy of the predictions of the model will be conducted. Second, using changes of facial expression only is thought to be not enough to extract audience emotions. If facial expression is combined with other responses, such as the sound, audience behavior, it would result a better result.