• Information Systems Review
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• v.23 no.1
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• pp.45-68
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• 2021

As the influence of online reviews on consumer decision-making increases, concerns about review manipulation are also increasing. Fake reviews or review manipulations are emerging as an important problem by posting untrue reviews in order to increase sales volume, causing the consumer's reverse choice, and acting at a high cost to the society as a whole. Most of the related prior studies have focused on predicting review manipulation through data mining methods, and research from a consumer perspective is insufficient. However, since the possibility of manipulation of reviews perceived by consumers can affect the usefulness of reviews, it can provide important implications for online word-of-mouth management regardless of whether it is false or not. Therefore, in this study, we analyzed whether there is a difference between the review evaluated by the consumer as being manipulated and the general review, and verified whether the manipulated review negatively affects the review usefulness. For empirical analysis, 34,711 online book reviews on the LibraryThing website were analyzed using multilevel logistic regression analysis and Poisson regression analysis. As a result of the analysis, it was found that there were differences in product level, reviewer level, and review level factors between reviews that consumers perceived as being manipulated and reviews that were not. In addition, manipulated reviews have been shown to negatively affect review usefulness.

• Annual Conference on Human and Language Technology
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• 2017.10a
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• pp.272-275
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• 2017

대면 서비스보다 비대면 서비스를 선호하는 소비자들의 증가로 인해 기업의 고객 응대의 형태도 변해가고 있다. 기존의 전화 상담보다는 인터넷에 글을 쓰는 형식으로 문의를 하는 고객이 증가하고 있으며, 관련 기업에서는 이와 같은 변화에 효율적으로 대처하기 위해, 텍스트 기반의 상담시스템에 대한 다양한 연구 및 투자를 하고 있다. 특히, 입력된 질의에 대해서 자동 답변하는 챗봇(ChatBot)이 주목받고 있으나, 낮은 답변 정확도로 인해 실제 응용에는 어려움을 겪고 있다. 이에 본 논문에서는 상담원이 중심이 되는 텍스트 기반의 상담시스템에서 상담원이 보다 쉽게 답변을 수행할 수 있도록 자동으로 답변을 추천해주는 자동답변추천 시스템을 제안한다. 실험에서는 기존 질의응답 시스템 구축에 주로 사용되는 문장유사도 알고리즘과 더불어 합성곱신경망을 이용한 자동답변추천 기법의 답변추천 성능을 비교한다. 실험 결과, 문장유사도 기반의 답변추천 기법보다 본 논문에서 제안한 합성곱신경망(Convolutional Neural Networks) 기반의 답변추천시스템이 더 뛰어난 답변추천 성능을 나타냄을 보였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2001.04a
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• pp.151-154
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• 2001

1990 년 후반부터 인터넷의 활용과 이동통신 기술의 범용화로 무선 인터넷 서비스의 수요가 점차적으로 빠르게 증대되어지고 있다. 하지만, 현 단계의 무선인터넷 서비스는 급변하는 시장과는 달리 정체 상태로 머물고 있다. 이러한 이유에는 여러 가지가 있겠지만 가장 큰 이유는 제한된 환경이라고 볼 수가 있다. 특히 현재의 무선 인터넷은 다양한 동영상 종류의 포맷을 지원하지 못하고 있다. 무선 인터넷 서비스 중에서도 특히 게임과 동영상 등에 대한 관심이 집중되어지고 있지만 현 시점에서는 간단한 흑백 이미지와 *.sis 파일의 형태만을 지원한다. 저 품질 영상이 제공되는 현 시점에서 유선 인터넷과 같은 다양한 서비스 지원을 하기 위해서는 획기적인 방법이 요구된다. 본 논문에서는 여러 가지 컨텐츠 타입을 지원하고, 대용량의 동영상 파일 등에 대해 설계 및 구현을 위한 최적화 방법론 중, DAIAML 이라는 새로운 측면의 스크립트 형태의 언어를 제안하며, 언어적 측면에서의 해석이 아닌 그래픽적 측면에서의 해석으로 접근한 방식이고 휴대폰이 칼라모드만 지원한다면 하드웨어적인 문제와는 상관없이 VOD 등의 고품질 동영상을 제공받으며 위의 요구 사항과 다양한 서비스 측면에 대해 소비자의 욕구를 만족시킬 수 있고, 많은 유선 인터넷 서비스들이 무선 인터넷으로 이동(migration)될 수 있다.

• 한국벤처창업학회:학술대회논문집
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• 2022.04a
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• pp.211-214
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• 2022

OTT 플랫폼의 발달로 다른 나라의 미디어를 쉽게 소비할 수 있게 되면서 국경이 더욱 모호해졌다. 이러한 배경에서 본 연구는 각국의 미디어 콘텐츠가 세계적으로 어떻게 소비되고 있는지 알아보는 것을 목적으로 한다. 그리고 이러한 미디어 흐름에 영향을 미치는 요인을 알아보고자 한다. 이를 위해 미디어 콘텐츠의 국제적 흐름 이론을 바탕으로 TV 콘텐츠의 국제적 흐름과 관련된 경제적 요인과 문화적 요인을 고찰한다. 연구 데이터로 2021년 1월 1일부터 2021년 6월 20일까지 80개국 넷플릭스에서 매일 가장 많이 본 TV 프로그램 10개 중 13만6800개의 결과를 수집하였다. 첫 번째 분석 결과, 미국 TV 콘텐츠는 여전히 OTT 환경(일명 글로벌 중심국)에서 전 세계적으로 가장 많이 소비되는 콘텐츠였지만, 한국, 영국, 멕시코/콜롬비아(일명 준중심국)를 중심으로 새로운 3개 생산-소비자 그룹이 식별되었다. 두 번째 분석 결과, 경제적 요인(생산국의 GDP와 소비국의 TV 콘텐츠 자급률)과 문화적 요인(언어적 근접성, 지리적 거리, 문화적 거리)로 OTT 환경에서 TV 콘텐츠의 국제적 흐름을 설명할 수 있었다. 마지막 분석결과, 지리적 거리와 언어적 유사성이 세계 중심 국가보다 준중심 국가가 제작하는 TV 콘텐츠의 국제적 흐름을 설명하는 데 더 중요한 요소로 드러났다.

• The Journal of the Korea Contents Association
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• v.20 no.7
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• pp.185-194
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• 2020

This study aims to figure out how the brand experience design elements works in the Shortform video-based branding through case analysis. The sense, feel, think, act, relate experience of Shortform video brand are provided through the implementation of specific experience design elements in the process of the creators expressing personality through social media channels and communicating and interacting with consumers. As a result, LIZIQI's food videos provided a brand identity as an 'Eastern gourmet' to consumers through the audiovisual stimulation of food in video, the cognitive reinforcement which is combined of identities and products, and the behavioral participation by web sites·electronic media. In addition, a strong brand relationship was established by sharing emotional ties using human factors and responsibility through co-branding. This can be extended to various Shortform video contents-based branding cases, and it will suggest a useful approach to the brand building strategy through strategic brand experience design elements.

• Journal of Korean Ophthalmic Optics Society
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• v.13 no.4
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• pp.13-17
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• 2008

Purpose: Study the method to attach to traditional pattern for the demands of eyeglasses' function which is becoming extended to cultural psychological and social aspects. Methods: To understand the symbolic characteristic of traditional pattern, especially through using palmette, embroidery, and practicing it on glasses' temple and cleaner. Results: Globalization stimulates crossing-consumption cultural trend rapidly. Thus, new glasses pattern involving Korean ethnic feature is a new source that could well adapt to this tendency. This report presents new aspect which corresponds to the demand of modern consumers. By modernizing Traditional pattern and method, we could discover the cultural value of glasses design. Conclusions: Glasses imply social position of users and became a measure that reveal a part of style that presents modern psychological language. Thus, the glasses design using traditional pattern makes a chance to change the beauty sense from western style to oriental one. And it achieves the desire of cultural consumption through glasses design.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.2-5
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• 2022

With the advent of deep learning and the rapid development of ICT (Information and Communication Technology), research using artificial intelligence is being actively conducted in various fields of society such as politics, economy, and culture and so on. Deep learning-based artificial intelligence technology is subdivided into various domains such as natural language processing, image processing, speech processing, and recommendation system. In particular, as the industry is advanced, the need for a recommendation system that analyzes market trends and individual characteristics and recommends them to consumers is increasingly required. In line with these technological developments, this paper extracts and classifies attribute information from structured or unstructured text and image big data through deep learning-based technology development of 'language processing intelligence' and 'image processing intelligence', and We propose an artificial intelligence-based 'customized fashion advisor' service integration system that analyzes trends and new materials, discovers 'market-consumer' insights through consumer taste analysis, and can recommend style, virtual fitting, and design support.

• Journal of Nutrition and Health
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• v.51 no.5
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• pp.480-487
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• 2018

Purpose: The study examined the Chinese and Japanese consumers' preference for Korean home meal replacement (HMR) product package designs using conjoint analysis. Methods: The questionnaire survey was completed by 270 consumers living in Beijing, China and Osaka, Japan, over the age of 20 years old, who had previously purchased or consumed a Korean HMR. Based on the attributes and levels within each attribute related to the Korean HMR product package design, 54 profiles were constructed. Of the 54 profiles, 11 combinations were selected using an orthogonal design, and the participants were asked to rank the 11 combinations in order of preference from top to bottom. Results: The relative importance of the Korean HMR product package design attributes were analyzed. Chinese consumers regarded illustration, ingestion form, concept, and brand name, in that order, to be most important. In the case of Japanese consumers, illustration, concept, ingestion form, and brand name, in that order, were most important. For the illustration attributes, in order of importance, Chinese consumers preferred raw materials, characters, and celebrities, and Japanese consumers preferred characters, raw materials, and celebrities. For the concept attributes, Chinese consumers favored, witty, traditional Korean, and modern concepts, whereas Japanese consumers favored witty, modern, and then traditional Korean concepts. For the ingestion form attributes, both Chinese and Japanese consumers preferred Ready To Eat (RTE), followed by Ready To Heat (RTH), and then Ready To Cook (RTC). For the brand name attributes, both Chinese and Japanese consumers preferred the localized brand name over the Korean brand name. Conclusion: Differences in the relative importance of Korean HMR product package design attributes were observed among Chinese and Japanese consumers, and there were differences in preference according to the levels within each attribute. These results are expected to provide useful basic data to assist in the future development of differentiated HMR package designs and marketing strategies to meet consumer needs in the market for Korean HMR in China and Japan.

• The Journal of the Korea Contents Association
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• v.10 no.7
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• pp.133-141
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• 2010

The purpose of this paper is to suggest one of effective online questionnaire methods by using web based games. The research examines the interrelation between space design element and emotion language in the background actually used in the web games, and suggests new questionnaire methods to overcome the problems of the insincere answers which is the limitation of online questionnaire methods. The paper is to examine the related references, and compare the merits and demerits between printed and online text based questionnaires. Then it suggests the on-line questionnaire methods based web games which can improve errors of the demerits. The emotional words and phrases database is embodied by the interrelation between the emotional words and four spaces such as a dwelling, a tradition, a commerce and a fantasy based on the position decision value of Gaussian distribution. The paper suggests to be utilized for a population calculability system such as a consumers preference test.

• Archives of design research
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• v.15 no.4
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• pp.399-408
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• 2002

According to the improvement in quality of life and the progress of user's taste in this modern society, people great deal with the symbolic meaning of product which express user's self-concept(image). Therefore, this kind of information of users' image is needed to deal importantly for the product design development processes, particularly, the early stage of design development such as the concept design development stage. But, there is not much analysis tools which deal qualitative data of users for the design development. From this reason, the supply of information of user's image through the development of verbal analysis method of user's self-concept will help a designer. For this purpose, this study not only developed the twenty-one factors in order to evaluate user's self-concept, but also suggested that the new approach method that can classify user's group within the same characteristic of user's image using the twenty-one developed verbal measurement items with tools of statistical analysis for the design direction of product. The developed this verbal analysis tool was testified through the case study in this research work.