• Title/Summary/Keyword: Personal Color

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Factors Affecting Consumer Goods Buyers' Choice in E-Commerce Sites: Evidence from Vietnam

  • PHAM, Hung Cuong
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.11
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    • pp.947-953
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    • 2020
  • The main purpose of this study is to find the factors affecting the consumer goods buyers' choice on e-commerce sites in Vietnam. By using the quantitative method, the paper examines the theoretical research model and tests four hypotheses. The sample was drawn from the population of e-commerce sites in Vietnam comprising about 1,000 respondents. This study used the questionnaire method to collect primary data to test the hypotheses. Data analysis of the questionnaire was done using SPSS. The results show that there is a correlation between personal preferences of consumers on colors and brands and their actual final choice on e-commerce sites in Vietnam. The most important factor affecting the consumer goods buyers' choice on e-commerce in Vietnam is the brand of E-commerce site, following by the color and position. Among all educational groups, respondents with a Master degree pay the biggest attention to the site's color attribute, and those with a Bachelor degree pay more attention to the brand attribute. Women pay much more attention to the location of the products on the screen than men, as do consumers with a PhD degree, over respondents with a Bachelor or Master degree, and foreigners over Vietnamese consumers.

Tongue Image Segmentation via Thresholding and Gray Projection

  • Liu, Weixia;Hu, Jinmei;Li, Zuoyong;Zhang, Zuchang;Ma, Zhongli;Zhang, Daoqiang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.2
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    • pp.945-961
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    • 2019
  • Tongue diagnosis is one of the most important diagnostic methods in Traditional Chinese Medicine (TCM). Tongue image segmentation aims to extract the image object (i.e., tongue body), which plays a key role in the process of manufacturing an automated tongue diagnosis system. It is still challenging, because there exists the personal diversity in tongue appearances such as size, shape, and color. This paper proposes an innovative segmentation method that uses image thresholding, gray projection and active contour model (ACM). Specifically, an initial object region is first extracted by performing image thresholding in HSI (i.e., Hue Saturation Intensity) color space, and subsequent morphological operations. Then, a gray projection technique is used to determine the upper bound of the tongue body root for refining the initial object region. Finally, the contour of the refined object region is smoothed by ACM. Experimental results on a dataset composed of 100 color tongue images showed that the proposed method obtained more accurate segmentation results than other available state-of-the-art methods.

The Effect of Contexts, Clothing Cues and Perceiver's Age on Male Impressions. (상황, 의복단서 및 관찰자의 연령이 남자 의복착용자의 인상에 미치는 영향)

  • 남미우;강혜원
    • Journal of the Korean Society of Clothing and Textiles
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    • v.18 no.3
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    • pp.311-326
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    • 1994
  • The purpose of this study was to identify 1) the effect of two contexts (job interview, Informal outing) and clothing cues (type, style, color) on male impresssions 2) the effect of perceiver's age on male impressions created by the clothing cues and contexts. The subjects consisted of 256 male undergraduate students and 256 middle-aged men. The experimental materials developed for this study were a set of stimuli and response scales. The stimuli were 8 color photographs of drawings of a male figure in clothing which were manipulated in two levels, each of three clothing cues including type, style and color. The experimental design was full factorial design of $(2^4contex^2{\times}clothing type^2{times}clthing color^2$. Each of the 16 sub-samples includes 16 subjects from the two perceiver group. Questionnaires used to measure perceivers responses to the stimuli were 7-point semantic differential scales composed of 37 bipolar adjectives representing personal traits. The data was processed by factor analysis, ANOVA, multiple classification analysis, Duncan's multiple range test. The major findings drawn from this study were as follows: 1. Three factors emerged to account for the dimensional structure of the impressions of the male figure in clothing in two social situations. These factors involved evaluation, activity and uniqueness. 2. The contexts, clothing types and clothing styles had significant effects on evaluation, activity and uniqueness. The clothing styles had a considerable effect on both evaluation and uniqueness while the clothing types affected activity. The clothing color had least effect on the impression and had only moderate effect on evaluation. 3. Perceiver's age influenced impressions formed by the social contexts and clothing cues. Male college students were least affected by contexts and clothing cues, while middle-aged men wert affected most.

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Implementation of a face detection algorithm for the identification of persons (동영상에서 인물식별을 위한 얼굴검출 알고리즘 구현)

  • Cho, Mi-Nam;Ji, Yoo-Kang
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.21 no.1
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    • pp.85-91
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    • 2011
  • The technique, which is able to detect and recognize characters in videos such as a movie or TV drama, can be used for applications which are database management of a general user's facial images for the suppliers of PVR(personal video recorder), mobile phones, and multimedia, etc. In this paper, we propose a face detection algorithm. It searches the character through cast indexing when the scene is changed in video. It is consisted of three stages. The first step is the detection-step of the scene change after producing a paused image. The second step is the face detection-step using color information. The final step is the detection-step which detects its features by the facial boundary. According to the experimental result, it has detected faces in different conditions successfully and more advanced than the existing other one that are using only color information.

Analysis on Awareness of Make-up and Image-Making of the Health Teachers in Gwangju Metropolitan City by In-depth Interview (심층면접법을 이용한 광주지역 보건 교사의 이미지 메이킹에 관한 인식 분석)

  • Seohyun, Oh
    • Fashion & Textile Research Journal
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    • v.24 no.6
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    • pp.782-788
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    • 2022
  • Our research participants were composed of health teachers exhausted by the COVID-19 pandemic. This study analyzed the attitudes towards image-making through utilizing the job training at Gwangju Metropolitan Office of Education on August 2022, where our study was able to obtain and analyze 30 elementary, middle, and high school health teachers who participated. Image making is defined as playing a role in increasing self-esteem through outward appearances such as facial expressions and posture, personal color, makeup, tone, hairstyling, and fashion and impacting individuals inwardly to increase self-confidence. Therefore, there is a positive impact in providing an image-making program that considers the occupational characteristics of a health teacher. It had the effect of stress relief and aided in building a healthier self-image among the participants. The results our study showed the following results. First, all participants had various concerns regarding their appearance and deemed that image-making was necessary, yet they needed to be more informed regarding the specific methods of doing so. Secondly, participants were mainly focused on purchasing makeup products for image making. Although participants showed interest in a personal color diagnosis, there needed to be more support in approaching the subject as the diagnosis was necessary from an expert. Third, participants stated that image-making should occur for their middle-aged selves when experienced in the field. Participants believed that they would be more concerned with how others viewed them after gaining expertise. Hence, this study found that the occupational characteristics of health teachers greatly benefitted from image-making programs oriented to their careers and would also show an increase in job satisfaction.

An Experimental Study on the Design of Digital Media Systems using Hue and Color Contrast (색조와 색상차를 이용한 디지털 미디어 시스템의 설계 방안에 대한 실험적 연구)

  • Kim, Jin-Woo;Jeon, Seok-Won;Lee, Su-Jin
    • Information Systems Review
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    • v.9 no.3
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    • pp.133-156
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    • 2007
  • The wide spread of the Internet and personal computers does not only alter the form of content from analog to digital, but also lead to the emergence of a new digital media system that is different from analog media system. The digital media system is a convergent media that includes both public and private systems from the perspective of use-limitation, as well as storage and enjoyment systems from the perspective of use-purpose. The major goal of this research is to suggest and empirically verify an effective way of presenting the perception of places that are converged in the digital media system. Involvement and motivation are suggested as key conceptual factors and color contrast and hue are suggested as concrete design factors to make people perceive corresponding places. Results of our controlled experiment indicated that the color contrast and hue significantly affected the perception of place, and consequently, influenced usability of the digital media system. This paper ends with implications that can be used to construct appropriate perception of places for the media system of digital products.

The Effects of Garment Formality, Colors, Contexts on Male High School Teacher's Impression Male and Female High School Students' in Taejeon area - (남자 고등학교 교사의 인상형성에 미치는 의복 격식차림, 색 및 맥락의 영향 -대전지역 남.녀 고등학생을 대상으로-)

  • 이향미;김재숙
    • Journal of the Korean Society of Clothing and Textiles
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    • v.22 no.3
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    • pp.312-320
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    • 1998
  • The purposes of this study were 1) to extend the gestalt theory in an attempt to explain the effect of garment clues(formality, color) perceiver's gender, and contexts on impression formation of a male high school teacher, and 2) to found out high school students' attitude toward their teacher's school outfits. The experimental design was a quasi-experimental with full factorial design of 4 independent variables : 3(formality levels)x2(garment colors)x2(perceiver's gender)x2(con- texts) The experimental materials developed for the study were a set of stimuli and response scale. The stimuli consisted of 12 color photographs produced by CAD system and response scale constituted of 28 bipolar adjectives representing personal traits. In addition to the qualitative research was also performed. The subjects composed of 277 male and 291 female high school students' in Taejeon city and research was a between subject design. The data was analysed by factor analysis, ANOVA, Duncan's multiple range test. The major findings drawn from this study were as follows: 1. The perceivers impression were consisted of 4 major dimensions; evaluation, sociability, attractiveness, potency. 2. All the independent variables showed some significant impression effects on selected dimensions. Garment color indicate the most significant effects among the 4 independent variables and garment formality showed least effects. 3. The subjects of the study preferred suits(highest formality level garment) to semi-formal or casual outfits for male teacher's school outfits. In conclusion, 4 independent variables affected differently 4 major impression dimensions and garment formality and contexts showed significant interaction effect, this results supported the gestalt theory of impression formation.

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Automatic Generation of the Personal 3D Face Model (3차원 개인 얼굴 모델 자동 생성)

  • Ham, Sang-Jin;Kim, Hyoung-Gon
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.1
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    • pp.104-114
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    • 1999
  • This paper proposes an efficient method for the automatic generation of personalized 3D face model from color image sequence. To detect a robust facial region in a complex background, moving color detection technique based on he facial color distribution has been suggested. Color distribution and edge position information in the detected face region are used to extract the exact 31 facial feature points of the facial description parameter(FDP) proposed by MPEG-4 SNHC(Synthetic-Natural Hybrid Coding) adhoc group. Extracted feature points are then applied to the corresponding vertex points of the 3D generic face model composed of 1038 triangular mesh points. The personalized 3D face model can be generated automatically in less then 2 seconds on Pentium PC.

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A Study of The Purchasing Tendency of Health-care Masks Based on The User-centered Design Concept-centered on the Form and Color of the Mask (사용자 중심 디자인개념에 기초한 보건용 마스크의 구매 경향성에 관한 연구 - 마스크의 형태와 색상 중심으로)

  • Ma, Lin;Kim, Myung-Soo
    • Journal of the Korea Convergence Society
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    • v.11 no.9
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    • pp.143-154
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    • 2020
  • Due to the widespread of COVID-19 pandemics, as the health care supplies. Thus the facial mask has been transformed from personal health product into social epidemic prevention product, and its design is more inclined to be User-centered design. First employed health facial mask which is sold in the market as the method subject, under the concept of " User-centered design", this article analyzes the design elements such as appearance and color of the facial mask. Second used the analysis approach of sample, character and positioning map, this article conducts the comparative analysis research of collected sample and data and find the relationship of User-centered design, purchase tendency and health care facial mask. When the users purchase the mask, through the research on the relationship between the choice of form or color of mask and design element of mask, it can compensate for the blank spot of design and has some references.

Machine Vision Platform for High-Precision Detection of Disease VOC Biomarkers Using Colorimetric MOF-Based Gas Sensor Array (비색 MOF 가스센서 어레이 기반 고정밀 질환 VOCs 바이오마커 검출을 위한 머신비전 플랫폼)

  • Junyeong Lee;Seungyun Oh;Dongmin Kim;Young Wung Kim;Jungseok Heo;Dae-Sik Lee
    • Journal of Sensor Science and Technology
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    • v.33 no.2
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    • pp.112-116
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    • 2024
  • Gas-sensor technology for volatile organic compounds (VOC) biomarker detection offers significant advantages for noninvasive diagnostics, including rapid response time and low operational costs, exhibiting promising potential for disease diagnosis. Colorimetric gas sensors, which enable intuitive analysis of gas concentrations through changes in color, present additional benefits for the development of personal diagnostic kits. However, the traditional method of visually monitoring these sensors can limit quantitative analysis and consistency in detection threshold evaluation, potentially affecting diagnostic accuracy. To address this, we developed a machine vision platform based on metal-organic framework (MOF) for colorimetric gas sensor arrays, designed to accurately detect disease-related VOC biomarkers. This platform integrates a CMOS camera module, gas chamber, and colorimetric MOF sensor jig to quantitatively assess color changes. A specialized machine vision algorithm accurately identifies the color-change Region of Interest (ROI) from the captured images and monitors the color trends. Performance evaluation was conducted through experiments using a platform with four types of low-concentration standard gases. A limit-of-detection (LoD) at 100 ppb level was observed. This approach significantly enhances the potential for non-invasive and accurate disease diagnosis by detecting low-concentration VOC biomarkers and offers a novel diagnostic tool.