• Archives of design research
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• no.16
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• pp.225-234
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• 1996

The purpose of this study is to provide and suggest useful data in use of kinds of violet that is resulted from general color images of violet. The origin, history, and general images of kinds of violet were studied, and were classified vased on documcntary reviews. Findings are as follows: 1) The kinds of violet were used purple, violet, mauva, and magenta in the order of appearance of its color names and the categories of violet had been extended from dark reddish violet to affilicated colors of bright violet by development in synthetie dyestuff. 2) The kinds of violet has neutral characters due to the combination of two extreme colors, red and blue, and thereby revealing voth attreibutes in terms of symbolic, emotional, and spychological features of colors. The positive images in kinds of violet can be classified as nobleness, holiness, mysteriousness, sleep/sedation, sensuality, femininity, fragrance, and the negatibely classified images are weakness, sadness, maelancholiness, death(for example, the mourner's gard in royal families), symbols of moral corruption, and superstition.

• Journal of Fashion Business
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• v.6 no.4
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• pp.163-172
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• 2002

The purpose of this study is to investigate purple image and formative properties in contemporary fashion. For the study of formative properties 152 kinds of costume samples from photographs in fashion magazines. For the study of image 40 kinds of costume samples is used and divided into tones : pale(Vp, Lgr, L), bright(P, B), vivid(S, V, Dp), dark(Gr, Dl, Dgr, Dk). A total 24 pairs of abjective words were used to measure the semantic differential scale in this study. The data were analyzed by factor analysis, ANOVA, MDS and regression analysis. The results are as follows; 1. Factor analysis has extracted 5 factors which consist of purple image in contemporary fashion. The factors are high quality, hardness and softness, simplicity, temperature, maturity. 2. There were significant differences in visual evaluation of purple tones. 3. The discrimination among. 4 purple tones was related to weight of purple 4. The evaluative dimensions of purple image in modern fashion were identified by Light - Heavy and Pale - Strong. 5. The image effect on Preference, Buying needs, Pleasant and Riches was consist of complicated sensibility.

• Journal of the Korean Institute of Landscape Architecture
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• v.49 no.2
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• pp.61-73
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• 2021

This study aimed to identify the landscape perception and landscape characteristics of users by utilizing SNS data generated by their experiences. Therefore, how to recognize the main places and scenery appearing on the island, and what are the characteristics of the main scenery were analyzed using online text data and photo data. Text data are text mining and network structural analysis, while photographic data are landscape identification models and color analysis. As a result of the study, First, as a result of frequency analysis of Bakji·Banwol-do topics, we were able to derive keywords for local landscapes such as 'Purple Bridge', 'Doori Village', and location, behavior, and landscape images by analyzing them simultaneously. Second, the network structure analysis showed that the connection between key and undrawn keywords could be more specifically analyzed, indicating that creating landscapes using colors is affecting regional activation. Third, after analyzing the landscape identification model, it was found that artificial elements would be excluded to create preferred landscapes using the main targets of "Purple Bridge" and "Doori Village", and that it would be effective to set a view point of the sea and sky. Fourth, Bakji·Banwol-do were the first islands to be created under the theme of color, and the colors used in artificial facilities were similar to the surrounding environment, and were harmonized with contrasting lighting and saturation values. This study used online data uploaded directly by visitors in the landscape field to identify users' perceptions and objects of the landscape. Furthermore, the use of both text and photographic data to identify landscape recognition and characteristics is significant in that they can specifically identify which landscape and resources they prefer and perceive. In addition, the use of quantitative big data analysis and qualitative landscape identification models in identifying visitors' perceptions of local landscapes will help them understand the landscape more specifically through discussions based on results.