• 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.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.497-502
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• 2018

The purpose of this study is to investigate the correlation between female gradation angle and angles of female gradation according to the angle of the treatment. A total of 100 questionnaires were analyzed using questionnaires. The results showed that sophisticated images were observed at $5^{\circ}$, $31^{\circ}$, and $85^{\circ}$ of gradation, and elegance images were observed at $15^{\circ}$ and $65^{\circ}$, and modern images were observed at $50^{\circ}$. Through this study, we will be able to conduct in-depth follow-up research on female gradation cuts classified by the trend position of trends in Korean men, and it will be possible to use it as basic data for deeper haircut education at the same time as creating customer satisfaction.

• CRM연구
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• v.2 no.1
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• pp.33-52
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• 2009

This research focused on the moderating role of the influence an expectation exerts on a performance by a regional festival and the experience to get visitor's feeling and satisfaction. A survey design was used for the last analysis targeted for the respondent who experienced an experience directly targeted for the regional where a regional festival is promoted actively targeted for the visitor. Results are show a positive influence on the expectation exerts on a performance of festival. In addition, it was confirmed that festival experience activity the role important to feeling and satisfaction of a visitor. We suggest, therefore, that it has to raise the efficiency of the strengthening of an experience program to raise an performance of festival participants and the festival manage to draw out the various feeling formation and satisfaction through participation customers' segmentation.

• International Commerce and Information Review
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• v.16 no.3
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• pp.25-50
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• 2014

This study is to identify the factors and explore the moderating effects of gender in influencing customer behavioral intention to adopt mobile commerce in Shanghai and Guangzhou in China. An extended study based on TRA, TPB and TAM, UTAUT, technology adoption model is applied for designing on this study model of behavioral intention to adopt mobile commerce focused on emotional variables and cross-gender differences. The results of analysis reveal that the effects of perceived risk, personal innovativeness, individual familarity and social influence on behavioral intentions to adopt mobile commerce as well as to differ across gender. Differences cross gender is specially the perceived risk and social influence. Findings imply that mobile commerce operators need to be communicated to female consumers, the risk-free quality including security, payment and certification system along with the social influence of using mobile commerce. When targeting female consumers in China, the word of mouth marketing strategic approach and improvement of communications of mobile commerce should be focused.

• Journal of the Korean Society of Fashion and Beauty
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• v.3 no.3 s.3
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• pp.64-70
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• 2005

The purpose of this study was to give help for more activation to the area of spa industry appropriate to the emotion of our country based on the spa of recognition of massage specialist. Aroma Essencial oil bath was the first favorite of the customers when they're going to have bath in Hydro-therapy or with some other material in their bathtub according to the general results of the previous study. The most high voice of discontent of customers was the high price and the main customer's ages on the spa-therapy were the ages 30s and 40s. The method for activation for future spa-therapy were showed as the better facilities and advertising, reasonable price, systematic education programs, professionalists as an order. The proper care hours for spa-therapy that customers like most was 1:30-2:30 and the resonable price of one time care of that was shown as 100,000-200,000 won. The priority actions for the competition with foreigners on this area of spa-therapy will be the various and nation-wide advertisement of the effectiveness on spa-therapy to the customers to use easily and to be made being generalized on their lives. And the our inland spa-therapy must have main position at the center of cities, the various programs to satisfy the Korean traditional culture of them should be studied and introduced. And at that time future inland spa-therapy industry will have power for the competitions with similar foreign industries.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.101-110
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• 2020

Devices that add emotion-specific services or various functions are appearing in AI speakers and related devices. To this end, this study performed topic modeling analysis on the topics of post-purchase texts written by AI speaker users, and compared them with the data collected via survey questionnaires. Furthermore, data on the emotional intelligence of AI speakers and relationship quality were collected from 600 users and analyzed using structural equation modeling. The findings of the study are as follows: First, the analysis results of topic modeling showed that most of the articles mainly mention the functional aspects of AI speakers. Second, emotional intelligence of AI speaker perceived by consumer affected relationship quality, and relationship quality had a positive effect on customer satisfaction. Therefore, this study expands the area of AI research by integrating the concept of emotional intelligence and relationship quality to provide new theoretical and practical implications.

• Culinary science and hospitality research
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• v.16 no.4
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• pp.139-150
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• 2010

The purpose of this study is to examine the market segments of Korea specialty coffee shops based on the benefit variables by customers when they visit a coffee shop. For this study, SPSS WIN 17.0 was used for the frequency analysis, factor analysis, reliability test, cluster analysis, one-way ANOVA and cross tabulation. Benefit factors were divided into atmosphere factor, value factor, marketing factor, cleanliness & comfort factor, and service factor. Three distinct segments of customers were identified: passive benefit seekers, marketing benefit seekers and emotion benefit seekers. In order to explore differences between clusters and demographic and behavior variables, cross tabulation were used. These findings could be helpful for the marketers who need to establish a marketing strategy for grasping the characteristics of market segments and generating profits.

• The Journal of the Korea Contents Association
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• v.9 no.6
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• pp.344-356
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• 2009

The purpose of this paper is to identify the causal role both emotionally based satisfaction and service reputation by examining the relationships among each dimensions of service quality, cognitive satisfaction, emotionally based satisfaction, service reputation and service loyalty in mobile telecommunication company. The results of the study are as follows: First, conviction quality had not influence on both cognitive satisfaction and emotionally based satisfaction, but tangibles quality had more influence on cognitive satisfaction than emotionally based satisfaction and responsiveness quality had more influence on emotionally based satisfaction than cognitive satisfaction. It found that there was a significant positive relationship between dimensions of the service quality, cognitive satisfaction and emotionally based satisfaction, and dimensions of the service quality affect satisfaction either directly or indirectly through emotion. Second, consumer satisfaction had more effect on service loyalty through service reputation than direct effect. Therefore, service loyalty can be build by increasing emotionally based satisfaction and service reputation to customer who is perceived as good service.

• Journal of Korea Trade
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• v.24 no.8
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• pp.39-62
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• 2020

Purpose - Korean exports account for a vast proportion of Korean GDP, and large volumes of Korean products are sold in the United States. Identifying and characterizing actual and potential product hazards related to Korean products is critical to safeguard Korean export trade, as severe quality issues can impair Korea's reputation and reduce global consumer confidence in Korean products. In this study, we develop country-of-origin-based product risk analysis methods for social media with a specific focus on Korean-labeled products, for the purpose of safeguarding Korean export trade. Design/methodology - We employed two social media datasets containing consumer-generated product reviews. Sentiment analysis is a popular text mining technique used to quantify the type and amount of emotion that is expressed in the text. It is a useful tool for gathering customer opinions regarding products. Findings - We document and discuss the specific potential risks found in Korean-labeled products and explain their implications for safeguarding Korean export trade. Finally, we analyze the false positive matches that arise from the established dictionaries that were used for risk discovery and utilize these classification errors to suggest opportunities for the future refinement of the associated automated text analytic methods. Originality/value - Various studies have used online feedback from social media to analyze product defects. However, none of them links their findings to trade promotion and the protection of a specific country's exports. Therefore, it is important to fill this research gap, which could help to safeguard export trade in Korea.

• Journal of Intelligence and Information Systems
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• v.28 no.2
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• pp.1-18
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• 2022

As digital technology converges into the e-commerce market across industries, online transactions have activated, and the use of online has increased. With the recent spread of infectious diseases such as COVID-19, this market flow is accelerating, and various product information can be provided to customers online. Providing a variety of information provides customers with various opportunities but causes difficulties in decision-making. The recommendation system can help customers to make a decision more effectively. However, the previous research on recommendation systems is limited to only quantitative data and does not reflect detailed factors of products and customers. In this study, we propose an intelligent recommendation system that quantifies the attributes of products and customers by applying text mining techniques to qualitative data based on online reviews and integrates the existing objective indicators of total star rating, sentiment, and emotion. The proposed integrated recommendation model showed superior performance to the overall rating-oriented recommendation model. It expects the new business value to be created through the recommendation result reflecting detailed factors of products and customers.