• Journal of Navigation and Port Research
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• v.29 no.3 s.99
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• pp.283-290
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• 2005

The purpose of this study is to evaluate the coastal nightscape of Yeong-Do in Busan in order to make an effective management plan of coastal nightscape. Firstly the coastal area of Yeong-Do has been divided into 8 nightscape sections. And then the nightscape images of each section have been evaluated by volunteer subjects through SD(semantic differential) analysis method.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• v.29 no.1
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• pp.333-340
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• 2005

The purpose of this study is to evaluate the coastal nightscape of Yeong-Do in Busan in order to make an effective management plan of coastal nightscape. Firstly the coastal area of Yeong-Do has been divided 8 nightscape sections. And then the nightscape images of each section have been evaluated by volunteer subjects through SD(semantic differential) analysis method.

• Journal of Korea Society of Industrial Information Systems
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• v.9 no.4
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• pp.32-40
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• 2004

This study tried to analyze the characteristic data, gathered by the semantic differential method, of respondents, user manuals and agricultural machines with the traditional statistical approach, i.e., cluster analysis and factor analysis semantic differential methods. Though the existing papers of the traditional sensory engineering only suggested the fragmentary result of analysis, this study tries to analyze the data with step-by-step approach, in which this study is analyzing the data with cluster analysis to get the characteristics of respondents, and then using the factor analysis to condensing the adjectives of describing the manual characteristics into several components. Concludingly, this study suggested a prototype of analyzing the semantic differential data with using cluster analysis and factor analysis.

• Science of Emotion and Sensibility
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• v.6 no.4
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• pp.33-40
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• 2003

This research was conducted to propose a sensibility model for web site design. At first, we collected 100 sensibility words related to web site design through analysis of journal and questionnaires and analysis of dictionary. 16 web sites were rated according to the degree of sensibility corresponding to each words, on the basis of the Semantic Differential(SD) method. The results of assessment were analyzed by means of the factor analysis and Multidimensional Scaling(MDS) method. From this relational analysis of sensibility words, the 18 representative words were abstracted as a result of the research included unique, unusual, rich, soft, cold, warm, vivid, simple, neat, dynamic, urban, light, somber, bright, dark, fresh, masculine, and hard. Also three sensibility dimensions bright-dark, soft-hard, simple-rich were found.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.3
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• pp.560-568
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• 2001

The aim of the present study was to measure intra-individual consistency in clothing and fabric evaluation and to examine its relation to the ratings. A sample of 93 female and 97 male university students rated clothing of 4 styles of daytime wear and 2 fabrics on 15 pairs of polar adjectives twice in 7-days interval. Correlation coefficients between the two ratings for each subject, intra-individual consistency in the evaluation, ranged from -0.12 to 0.89 and mean coefficient was 0.63 of female and -0.01 to 0.78 and mean coefficient was 0.54 of male. Based on the coefficients, the subjects were classified into three groups: high, medium, and low intra-individual consistency. Analysis of variance of mean ratings by the three groups revealed that significant difference existed in 24% of female and 23% of male in 90 combinations of 6 clothing and 15 semantic differential scales. Female of subjects with high intra-individual consistency were most likely definite to evaluate clothing, whereas the ones with low were least. But male subjects were not definite. Mean correlation coefficients for style evaluation subscales of female was 0.39, but male was 0.44. Among the semantic differential scales, high stability in the two ratings was observed for the synthetic clothing evaluation. Correlation coefficients for each clothing obtained from the mean score of the subjects in each semantics differential scale were around 0.98, including that the mean scores of the subjects in each scale could yield excellent stability in clothing evaluation.

• Journal of Navigation and Port Research
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• v.32 no.3
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• pp.265-269
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• 2008

This study was to analyze the visual preference of the port landscapes for North port in Busan. Preference related variables came from Semantic Differential(SD) method and then were conducted by the factor analysis. Multiple regression was done for the relationship between the preference and factors. The result found 4 factors, including dynamics, stability, pleasantness and healthiness. Much importance was placed on dynamics among them. Therefore, building port landscapes and their image attracting viewers should consider dynamics in terms of port landscape plan and user attraction development for visual quality management.

• Science of Emotion and Sensibility
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• v.12 no.2
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• pp.205-214
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• 2009

This paper addresses analyzing affective color data for emotional interior design. Both the physical and psychological patterns for spatial colors were tested on thirty subjects, of which fifteen were male. All subjects participated in both the physiological and psychological experiments. The data on the reflecting subjects' affective moods is gathered through EEG physical experiments and SD (Semantic Differential Scale) method surveys. This research has suggested the relation of both experiments through affective color response. The methods of SPSS 10.0 and TeleScan Version 2 are used for analyzing response data to coordinate the colour palette with changeable moods. From the analysis of statistical data, all of the visual stimuli related emotional keywords and physiological responses. Finally, the initial goal of this research is to construct an affective colour database that is tested through human color perception by physical and psychological experiments.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2007.12a
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• pp.136-137
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• 2007

This study was to analyze the visual preference of the port landscapes for North port in Busan. Preference related variables came from Semantic Differential(SD) method and then were conducted by the factor analysis. Multiple regression was done for the relationship between the preference and factors. The result found 4 factors, including dynamics, stability, pleasantness and healthiness. Much importance was placed on dynamics among them. Therefore, building port landscapes and their image attracting viewers should consider dynamics in terms of port landscape plan and user attraction development for visual quality management.

• Science of Emotion and Sensibility
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• v.10 no.3
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• pp.451-462
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• 2007

There are various ways of the conventional market boost are suggested for an urban renewal recently. Presently, the government has decided to invest total 8 hundred and 10 billion dollars, including a budget of 4 hundred and 60 billion dollars and a capital of the local government, for it for the next 3 years. But, Since Its business has been focused on the redevelopment of the surroundings; remodeling, building parking lots and elevators etc, it has not solved the basic problems of the traditional marketplaces themselves. This research shows the right way to boost the traditional markets with the characteristic of them through case studys from the different cities, revaluation of their images besides the western styled wholesale markets. The survey targets on the traditional marketplaces and the wholesale markets around Tea-Hwa river in Ulsan. And, the different impressions of them are evaluated based on SD(semantic differential method) with citizens' general point of views of them, the sampled pictures and relevant adjectives. The conventional market boost finds the way to be succeeded through the analysis of a primary element base on the survey.

• Proceedings of the IEEK Conference
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• 2002.07c
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• pp.1886-1888
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• 2002

Non-verbal information plays an important role not only in human-to-human communications but also in human computer interaction. In this paper, we examine effects of human-like agent's primitive movements on user's impression, where the human-like agent's primitive movements include eye, mouth, and head. SD (Semantic Differential) method was used for evaluation, and two factors were extracted as a result of the factor analysis. It is found that the first factor influenced the user's impression particularly.