• Title/Summary/Keyword: 감성경험데이터

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A Study on Consumer Type Data Analysis Methodology - Focusing on www.ethno-mining.com data - (소비자유형 데이터 분석방법론 연구 - www.ethno-mining.com 데이터를 중심으로 -)

  • Wookwhan, Jung;Jinho, Ahn;Joseph, Na
    • Journal of Service Research and Studies
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    • v.12 no.2
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    • pp.80-93
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    • 2022
  • This study is a study on a methodology that can extract various factors that affect purchase and use of products/services from the consumer's point of view through previous studies, and analyze the types and tendencies of consumers according to age and gender. To this end, we quantify factors in terms of general personal propensity, consumption influence, consumption decision, etc. to check the consistency of data, and based on these studies, we conduct research to suggest and prove data analysis methodologies of consumer types that are meaningful from the perspectives of startups and SMEs. did As a result, it was confirmed through cross-validation that there is a correlation between the three main factors assumed for data analysis from the consumer's point of view, the general tendency, the general consumption tendency, and the factors influencing the consumption decision. verified. This study presented a data analysis methodology and a framework for consumer data analysis from the consumer's point of view. In the current data analysis trend, where digital infrastructure develops exponentially and seeks ways to project individual preferences, this data analysis perspective can be a valid insight.

A Basic Study on User Experience Evaluation Based on User Experience Hierarchy Using ChatGPT 4.0 (챗지피티 4.0을 활용한 사용자 경험 계층 기반 사용자 경험 평가에 관한 기초적 연구)

  • Soomin Han;Jae Wan Park
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.2
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    • pp.493-498
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    • 2024
  • With the rapid advancement of generative artificial intelligence technology, there is growing interest in how to utilize it in practical applications. Additionally, the importance of prompt engineering to generate results that meet user demands is being newly highlighted. Exploring the new possibilities of generative AI can hold significant value. This study aims to utilize ChatGPT 4.0, a leading generative AI, to propose an effective method for evaluating user experience through the analysis of online customer review data. The user experience evaluation method was based on the six-layer elements of user experience: 'functionality', 'reliability', 'usability', 'convenience', 'emotion', and 'significance'. For this study, a literature review was conducted to enhance the understanding of prompt engineering and to grasp the clear concept of the user experience hierarchy. Based on this, prompts were crafted, and experiments for the user experience evaluation method were carried out using the analysis of collected online customer review data. In this study, we reveal that when provided with accurate definitions and descriptions of the classification processes for user experience factors, ChatGPT demonstrated excellent performance in evaluating user experience. However, it was also found that due to time constraints, there were limitations in analyzing large volumes of data. By introducing and proposing a method to utilize ChatGPT 4.0 for user experience evaluation, we expect to contribute to the advancement of the UX field.

A Study on The Emotional Travel Planning App Using Data Mining (데이터 마이닝을 활용한 감성적 여행 계획 앱 연구)

  • Hyun-woo Seo;Am-Suk Oh
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.07a
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    • pp.549-550
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    • 2023
  • 본 논문에서는 데이터 마이닝을 활용한 감성적 여행계획 제공 앱으로 각 개인에게 알맞은 맞춤형 여행계획 추천 어플을 연구하고자 한다. 여행 계획에서 여행자들이 더 좋은 경험을 하도록 돕고 앱을 통하여 여행을 최대로 즐길 수 있으며 앱에서 제공하는 데이터들을 바탕으로 숙소, 관광명소, 음식점 등의 자료제공으로 최상, 최적의 숙소 체험, 훌륭한 음식점 예약, 주변의 좋은 여행지를 검색 가능하게 하고자 한다. 아울러, 어떤 여행을 계획하든 제공하는 앱으로 간편하게 감성적으로 여행을 계획하고 그 체험과 정보들을 다른 사람들에게도 여행 가이드로 추천, 공유할 수 있도록 하고자 한다.

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Study on Development of LED Camping Light Design Based on IOT and Emotional Lighting Contents (IOT 및 감성조명 콘텐츠 기반의 LED 캠핑등 디자인 개발에 관한 연구)

  • Kim, Hee-Jun
    • The Journal of the Korea Contents Association
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    • v.18 no.12
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    • pp.332-342
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    • 2018
  • This study is aimed at suggesting information about technical choices for designing LED camping lights based on emotional lighting contents of integrated IOT and design areas which take a central role in creation and knowledge based industries and the procedure for materializing them. 'i-Light,' a portable LED camping light, is 'connected lighting' connecting men, space and emotion and a smart camping light based on IOT and emotional lighting contents. 'i-Light' has two functions. One is about lighting for adjusting color and color temperature naturally and the other is about safety for detecting harmful gases. 'i-Light' also has various emotional functions for experiencing interaction and taste of light. For the purpose, portable LED camping lights were designed, first of all, and then a highly color rendering/full-color lighting module, a smart sensor module and an IOT device platform were developed. In addition, efforts were made to establish detailed data about emotional lighting contents and to develop a Web application based on them. Finally, prototypes of portable LED camping lights were made to get a test bench and usability evaluation from related organizations. According to the results, all of 12 developed emotional lighting contents and three IOT safety sensors were suitable and prototypes were satisfactory. This paper will suggest a direction about actual technical choices for development of contents and products integrating artificial intelligence and big data and about the procedure for materializing them.

A Case Study on the Development of New Brand Concept through Big Data Analysis for A Cosmetics Company (화장품 회사의 빅데이터분석을 통한 브랜드컨셉 개발 사례분석)

  • Lee, Jumin;Bang, Jounghae
    • Knowledge Management Research
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    • v.21 no.3
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    • pp.215-228
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    • 2020
  • This study introduces the case of a company that newly jumped into the competitive cosmetics market with a brand concept developed through big data analysis. Skin Reverse Lab, which possesses anti-aging material technology, launched a new brand in the skincare cosmetics market. Using a big data analysis program called Luminoso, SNS data was analyzed in four areas, which were consumer attitudes toward overall cosmetics, skincare products, competitors, and consumers' experiences of product use. The age groups and competitors were analyzed through the emotional analysis technique including context, which is the strength of Luminoso, and insights on consumers were derived through the related word analysis and word cloud techniques. Based on the analysis results, Logically Skin have won various awards in famous magazines and apps, and have been recognized as products that meet global trend standards. Besides, it has entered six countries including the United States and Hong Kong. The Logically Skin case is a case in which a new company entered the market with a new brand by deriving consumer insights only from external data, and it is significant as a case of applying AI-based sentiment analysis.

Tracking on Attention to the Emotion and Sensibility and its Application at the Innovative Companies: Focused on Content Analysis of Annual Reports (혁신적 기업에서의 감성의 관심 및 활용의 추적: 연차보고서의 내용분석을 중심으로)

  • Song, Min Jeong
    • Science of Emotion and Sensibility
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    • v.19 no.1
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    • pp.39-48
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    • 2016
  • This research aims to identify innovative companies' attention to the emotion and sensibility and its application by analyzing the contents of the corporate annual reports. Annual report is a good reference data because it describes not only various current products and services' annual activities and business performance but also corporate future direction. Sensibility is interpreted and used with various words internationally: various related terms such as sensibility, sense, emotion, feeling and affection are analyzed not only by the definition but also the interrelationship among them, and included for the contents analysis. To select the innovative companies, the researcher used 'Fast company' that is the economic journal and deducted the companies list via 'The world's 50 most innovative companies' in 2009 and 2014. Listed companies' 2009 and 2014 annual reports' contents were analyzed to identify the rate of the recognition and the application of sensibility to their business. Even though the quantitative result of the content analysis indicates not a strong relationship between corporate innovativeness and 'sensibility' qualitative result identifies companies are paying more attention to the 'sense' and 'feeling' during five years. In conclusion, the innovation that company pursues strategically is shifting from differentiation and the technological leadership to satisfying user experiences and the number of companies which express and measure user feeling and emotions are increasing.

Analysis and Evaluation of Users' Rating Targeted on Virtual experienced App, 'Hair Style Magic Mirror App' (가상 체험기반 헤어스타일 앱 'Hair Style Magic Mirror' 을 중심으로 본 사용자 데이터 해석과 평가분석)

  • Kim, Taejin;Chin, Seongah
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.12
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    • pp.6105-6110
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    • 2012
  • Smart devices have made our daily life more intelligent and provided convenient life styles in which advanced interface and high speed LTE enable us to have proliferation of empirical Apps. This research has analyzed and evaluated Unstructured data from the users who experienced 'Hair Style Magic Mirror App' by focusing on emotional information. Further this study suggests some directions that the application development industry should take in the near future. The findings through Chi-Square analysis indicate that the application has not affected the overall satisfaction of the consumers; consumers received higher satisfaction in paid version of applications than free versions. Emotional Information analysis shows that users value the practicality of each application the most. Thus, the application developers should focus on practicality and sensitivity side corresponding to the demand of consumers.

Sentiment Analyses of the Impacts of Online Experience Subjectivity on Customer Satisfaction (감성분석을 이용한 온라인 체험 내 비정형데이터의 주관도가 고객만족에 미치는 영향 분석)

  • Yeeun Seo;Sang-Yong Tom Lee
    • Information Systems Review
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    • v.25 no.1
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    • pp.233-255
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    • 2023
  • The development of information technology(IT) has brought so-called "online experience" to satisfy our daily needs. The market for online experiences grew more during the COVID-19 pandemic. Therefore, this study attempted to analyze how the features of online experience services affect customer satisfaction by crawling structured and unstructured data from the online experience web site newly launched by Airbnb after COVID-19. As a result of the analysis, it was found that the structured data generated by service users on a C2C online sharing platform had a positive effect on the satisfaction of other users. In addition, unstructured text data such as experience introductions and host introductions generated by service providers turned out to have different subjectivity scores depending on the purpose of its text. It was confirmed that the subjective host introduction and the objective experience introduction affect customer satisfaction positively. The results of this study are to provide various implications to stakeholders of the online sharing economy platform and researchers interested in online experience knowledge management.

Product Planning using Sentiment Analysis Technique Based on CNN-LSTM Model (CNN-LSTM 모델 기반의 감성분석을 이용한 상품기획 모델)

  • Kim, Do-Yeon;Jung, Jin-Young;Park, Won-Cheol;Park, Koo-Rack
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.07a
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    • pp.427-428
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    • 2021
  • 정보통신기술의 발달로 전자상거래의 증가와 소비자들의 제품에 대한 경험과 지식의 공유가 활발하게 진행됨에 따라 소비자는 제품을 구매하기 위한 자료수집, 활용을 진행하고 있다. 따라서 기업은 다양한 기능들을 반영한 제품이 치열하게 경쟁하고 있는 현 시장에서 우위를 점하고자 소비자 리뷰를 분석하여 소비자의 정확한 소비자의 요구사항을 분석하여 제품기획 프로세스에 반영하고자 텍스트마이닝(Text Mining) 기술과 딥러닝(Deep Learning) 기술을 통한 연구가 이루어지고 있다. 본 논문의 기초자료가 되는 데이터셋은 포털사이트의 구매사이트와 오픈마켓 사이트의 소비자 리뷰를 웹크롤링하고 자연어처리하여 진행한다. 감성분석은 딥러닝기술 중 CNN(Convolutional Neural Network), LSTM(Long Short Term Memory) 조합의 모델을 구현한다. 이는 딥러닝을 이용한 제품기획 프로세스로 소비자 요구사항 반영, 경제적인 측면, 제품기획 시간단축 등 긍정적인 영향을 미칠 것으로 기대한다.

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Social Exclusion, Raising Companion Animals, and Psychological Well-Being: An Exploratory Study (사회적 배제, 반려동물 키우기, 그리고 심리적 안녕감: 탐색적 연구)

  • Lee, Guk-Hee
    • Science of Emotion and Sensibility
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    • v.22 no.1
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    • pp.3-14
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    • 2019
  • This exploratory study investigated the effects of the interaction between the experience of social exclusion and the presence or absence of a companion animal on the psychological well-being of individuals. Participants answered questions about whether or not they were respected by the community (yes or no); whether or not they currently have a companion animal (yes or no); and if they do, what kind of animal(s) they raise (multiple answers allowed). The study also assessed the psychological well-being of the participants. The group that experienced social exclusion demonstrated lower levels of psychological well-being than the group that did not. In addition, the group that reported the presence of at least one companion animal evinced higher levels of psychological well-being than the group that did not. Individuals who experienced social exclusion but lived with at least one companion animal were found to display superior psychological well-being than those who could not avail of the company of an animal. No difference in psychological well-being was found between those with a companion animal and those without one in the group that did not experience social exclusion. In conclusion, this study observed the effects of the binary interactions between social exclusion (experienced vs. not experienced) and the existence of companion animals (presence vs. absence) on the psychological well-being of people. The empirical data offer theoretical implications for the conditions in which companion animals do or do not improve psychological well-being in humans.