• 제목/요약/키워드: customer emotion

검색결과 189건 처리시간 0.024초

CONSTRUCTION OF DATABASE FOR A CUSTOMER-FRIENDLY RETRIEVAL SYSTEM OF APPAREL PRODUCTS

  • Park, Hye-Jun;Takatera, Masayuki;Shimizu, Yoshio;Kim, Hyung-Sup
    • 한국감성과학회:학술대회논문집
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    • 한국감성과학회 2000년도 춘계 학술대회 및 국제 감성공학 심포지움 논문집 Proceeding of the 2000 Spring Conference of KOSES and International Sensibility Ergonomics Symposium
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    • pp.261-264
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    • 2000
  • A database was constructed for customers to find and choose and apparel product. The product information was collected from words on several kinds of advertisement, which purchasers meet in their ordinary life. The information was sorted and categorized in 8 basic mother categories (Target group, Color, Apparel type, Fabric, Size, Price, Manufacturer) to build a suitable database structure. Each mother category was arranged into subcategories. Also this study showed a demonstration version of the retrieval system. the research resulted can be used for more intensive retrieval system.

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Car Audio의 소비자 감성요소 선호도 조사를 위한 웹 기반 컨조인트 분석 사레 연구 (A Case Study of conjoint Analysis based on WWW for Customer's Gamsung Factor Preference of car Audio System)

  • 박창민;오기태;이선영;이건표
    • 한국감성과학회:학술대회논문집
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    • 한국감성과학회 2000년도 추계학술대회 논문집
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    • pp.171-177
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    • 2000
  • 본 연구는 ‘문화적 미래형 감성디자인 개발’을 위한 Car AV시스템 개발 프로젝트의 일환으로서 기존 제품의 사용성 평가와 사용자 관찰 방법 등을 통해 사용 환경과 사용자의 이용 행태에 관해 조사하고, 특히 컨조인트 분석을 통해 사용자의 선호도에 주요한 영향을 미친 신뢰성 있는 속성을 규명하고자 하는데 목적이 있다. 컨조인트 분석 프로세스에서 추출된 독립적인 각각의 속성과 수준들의 조합안을 바탕으로 사용자 선호도 조사를 함으로써 궁극적으로는 최적의 속성과 수준의 조합안을 제시하고자 한다. 또한 컨조인트 분석을 위해서 인터넷을 이용한 조사 시스템 구축과 활용 과정에 대해 살펴봄으로써 이의 실질적인 활용과 문제점에 관해 고찰하고자 한다.

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감성제품개발을 위한 감성 이미지 디자인 프로세스 개발에 관한 연구 (A Study on the Development of Image Design Process Based on Human Sensibility Ergonomics for Product Development)

  • 이순요;양선모;변상섭
    • 한국감성과학회:학술대회논문집
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    • 한국감성과학회 1997년도 한국감성과학회 연차학술대회논문집
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    • pp.33-36
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    • 1997
  • This paper describes an image design process for product development based on human sensibility ergonomics.. The human sensibility about product image can be measured through some statistical methods and translated into product design factors by some mathematical inference logics. This results also can be presented by 3D computer graphic tools, In order to integrate the above processess, a image design process on human sensibility database. Human sensibility database is constructed with the relational ddta of some adjective words and design factors, The next step is to extract the design information from the human sensibility dataabase by fuzzy inference algouithm. This information is used for the input data for the graphic presentation. The final product can be modified according to the customer's requirement.

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Extracting Method of Kansei Design Rules Based on Rough Set Analysis

  • Nishino, Tatsuo;Nagamachi, Mitsuo
    • 한국감성과학회:학술대회논문집
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    • 한국감성과학회 2002년도 춘계학술대회 논문집
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    • pp.201-204
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    • 2002
  • Kansei design knowledge acquisition stage is a crucial stage in kansei designing process and kansei engineering (KE) methodology. In kansei engineering methodology, it is essential to extract design knowledge or rules on relationships between customer's kansei and product design element. We attempt to construct a more powerful melted for extracting the design rules from kansei expremental data. We constucted a kansei experiment concerning color kansei evaluation, and analyzed the sane data by both conventional quantification theory type I and rough set theory. Finally, we compared the effectiveness of both methods for extracting rules and examined the extensions of rough set theory in kansei engineering.

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Kansei engineering research on deodorizing airflesheners

  • Nagamachi, Mitsuo
    • 한국감성과학회:학술대회논문집
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    • 한국감성과학회 2002년도 춘계학술대회 논문집
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    • pp.20-23
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    • 2002
  • In Japan, deodorizing airflesheners are very popular to make air flesh by deodorizing odor in rooms, toilet as well as inside a car. There are in different features in deodorizing material of Gel and Liquid, in a shape of bottle from tall to low height, in bottle color and so on. These different features will influence the customer's feeling to the products of deodorizing airfleshener. This paper deals with the psychological evaluation of the features of deodorizing airfleshener on the SD scale with kansei words. The evaluated data were analyzed by Quantification Theory Type I that leads to the relational rules between the product feature and the kansei words. The beautiful and graceful kansei consists of low height, middle width deformed round shape, but easy operational feature is based on tall shape design. These results are helpful to develop a new product of deodorizing airfleshener.

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온라인 브랜드 커뮤니티 내 부정적 감정들이 기업 혁신을 위한 고객 기여에 미치는 영향 (The Influence of Negative Emotions on Customer Contribution to Organizational Innovation in an Online Brand Community)

  • 정수연;이한준;서용무
    • 인터넷정보학회논문지
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    • 제14권4호
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    • pp.91-100
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    • 2013
  • 최근 많은 기업들이 도입하는 온라인 브랜드 커뮤니티는 기업 혁신에 도움이 될 고객의 의견을 수집하는 데 유용하게 활용되고 있다. 본 논문은 온라인 브랜드 커뮤니티에 게시되는 다양한 의견들 중 부정적 감정을 담고 있는 고객의견이 기업 혁신에 기여하는데 미치는 영향력을 분석하였다. 이를 위해 먼저 부정적 감정을 Fear, Anger, Shame, Sadness, Frustration의 총 다섯 가지 세분화된 감정으로 분류하고 WordNet과 SentiWordNet을 기반으로 부정적 감정에 대한 감정 어휘군을 구축하였다. 실험을 위해 본 연구에서는 스타벅스의 브랜드 커뮤니티인 MyStarbucksIdea.com에서 81,534건의 고객의견을 수집하였으며 부정적 감정 어휘군을 활용하여 각 고객의견 내 부정적 감정 정보를 추출하였다. 부정적 감정의 유무, 빈도, 강도의 세 가지 측면에 따른 기업 혁신에 대한 영향력을 분석한 결과, 부정적 감정이 담긴 고객의견이 기업 혁신에 유의미한 영향력을 미치는 것으로 나타났으며 부정적 감정 중, Frustration과 Sadness의 감정이 기업 혁신에 긍정적인 영향을 가지고 있음을 확인할 수 있었다.

Development of a Rule-Based Inference Model for Human Sensibility Engineering System

  • Yang Sun-Mo;Ahn Beumjun;Seo Kwang-Kyu
    • Journal of Mechanical Science and Technology
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    • 제19권3호
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    • pp.743-755
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    • 2005
  • Human Sensibility Engineering System (HSES) has been applied to product development for customer's satisfaction based on ergonomic technology. The system is composed of three parts such as human sensibility analysis, inference mechanism, and presentation technologies. Inference mechanism translating human sensibility into design elements plays an important role in the HSES. In this paper, we propose a rule-based inference model for HSES. The rule-based inference model is composed of five rules and two inference approaches. Each of these rules reasons the design elements for selected human sensibility words with the decision variables from regression analysis in terms of forward inference. These results are evaluated by means of backward inference. By comparing the evaluation results, the inference model decides on product design elements which are closer to the customer's feeling and emotion. Finally, simulation results are tested statistically in order to ascertain the validity of the model.

전통시장 방문요인과 고객신뢰간의 관계분석 및 재방문 결정의 관계에 관한 연구 (The Analysis of the Factors in Customer Trust and Revisit Decision in Traditional Market)

  • 김판진
    • 산경연구논집
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    • 제8권7호
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    • pp.71-81
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    • 2017
  • Purpose - The purpose of this study is to investigate the relationship between customer trust and intention to return to the traditional market by using empirical analysis. Research design, data, and methodology - For the empirical analysis of this study, questionnaires were conducted for adults and over 20s. A total of 200 questionnaires were distributed to consumers with experience in traditional markets, and 163 of them were used for empirical analysis. In order to analyze the relationship between customer trust and return visit intention by consumers visiting the traditional market, variables were selected through 10 constructive concepts and revised based on previous studies. The SPSS for win 18.0 was used for data analysis. Results - In order to clarify the relationship between consumer's visit to traditional market and customer's trust, it was found that the tolerance values of both the visiting factors and the consumers' perceptions of traditional markets were higher than .01. In the relationship between visitor's visit to traditional market and customer's trust, price was positively related to customer trust at 0.1% level. Image, product quality and freshness of traditional market were 5% Positive effects were found. These results show that consumers who visit traditional markets gain customer's trust in price, image, product quality and reliability of traditional market. Conclusions - In this study, the results of this study are as follows: First, the effect of customer trust on customer satisfaction is affected by the image (emotion) consumers feel about traditional market, the trust level about the price of goods offered by the market, The confidence level of freshness, the reliability of consumers' connection with the local economy, the consumer's traditional marketplace, and the level of awareness of the service (kindness) of the variables on the independent variables. As a result of the analysis, it was found that among the influence variables of customer trust used in this study, consumers had a high level of confidence about the price of commodities offered by the market, quality of goods, and freshness, The same relationship, market environment such as hygiene or cleanliness, connection with a local economy, service (kindness) of traditional market did not affect consumers' trust in traditional markets.

Fostering Attitudes and Customer Satisfaction for Sustainability by Electric Car-Sharing

  • LEE, Jinseo;CHO, Yooncheong
    • 산경연구논집
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    • 제12권5호
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    • pp.37-46
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    • 2021
  • Purpose: The purpose of this paper is to explore factors that affect electric car-sharing by highlighting issues of environmental sustainability and customer attitude and satisfaction. Research design, data and methodology: This study examined customers' perception on those issues by using electric car-sharing as usages of both electric car and car-sharing play a key role to improve sustainability. Online survey was applied to collect the data. This study also applied factor and regression analyses for data analysis. Results: The results of this study showed that effects of proposed factors including cost efficiency, emotion, safety, health, and sustainability on attitude toward electric car-sharing on attitude were significant. The results also showed that the effects on intention, satisfaction, and loyalty were significant. Conclusions: This study provides policy and managerial implications. By dealing with factors of electric car-sharing service, this study offers necessity of better strategies and policies for electric car-sharing service to electric car businesses and policy makers. This study also suggests that businesses should develop appropriate strategies for the improved usage of electric car-sharing by considering sustainability and improving relationships with customers. Further, government should consider to develop proper policies for sustainability by promoting the usages of electric car-sharing.

의료서비스에서 물리적 환경, 공정성, 지각된 대기시간이 재이용의도에 미치는 영향 (The Effects of Physical Environment, Perceived Justice and Perceived Waiting-Time on Repurchase Intension)

  • 윤성욱;김수배
    • 마케팅과학연구
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    • 제12권
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    • pp.135-154
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    • 2003
  • 본 연구는 의료서비스이용자의 편의성을 증대시키기 위하여 의료서비스접점에서 물리적 환경과 공정성, 그리고 지각된 대기시간이 매개변수인 서비스품질평가와 부정적 감정을 통하여 재이용의도에 미치는 영향을 실증적으로 조사 분석하였다. 특히 의료서비스에서 물리적환경과 공정성이 부정적 감정에 어떠한 영향이 미치는지를 처음으로 확인하고자 시도하였다. 연구결과 의료서비스접점에서 첫째, 물리적환경요인은 서비스품질평가에 긍정적인 영향을 미치고, 부정적인 감정은 낮추는 것으로 나타났다. 둘째, 공정성은 서비스품질평가나 부정적인 감정에 영향을 미치지 않는 것으로 확인되었으며, 셋째, 지각된 대기시간은 서비스품질을 낮추고 부정적 감정은 증가시키는 것으로 나타났다. 넷째, 서비스품질은 재이용의도에 긍정적 영흥를 미치고 있으나, 부정적 감정은 재이용 의도에 영향을 미치지 않고 있는 것으로 확인되었다. 따라서 의료서비스도 물리적환경의 중요성이 증가 하고, 대기시간의 단축노력이 필요하다. 또한 부정적 감정은 재이용의도에 영향을 미치지 않는 것으로 나타났으나 의료서비스의 특수성에 따른 전환장벽이 해결될 경우 이탈가능성이 존재하고 있으므로 부정적 감정의 최소화를 위한 노력이 요구된다.

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