• The Journal of the Korea Contents Association
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• v.15 no.5
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• pp.132-141
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• 2015

Smart television(TV) is replacing the traditional television model and the importance of user experience(UX) is rising. User experience evaluates the emotion state of users such as immersion, pleasure, and interest. User experience together with usability is a principle to be considered as for designing a smart television. It contributes to improve user satisfaction and lead to the long-term purchase. User experience is more difficult to measure than usability, because UX evaluation requires to biological and psychological techniques. However, the disadvantages of these physiological and psychological techniques require high experimental costs and the restriction of experimental environment. The objective of this paper is first to review conventional methods regarding UX evaluation and suggests a new method for measuring the UX of smart TV which detects keywords related emotional representation. The text is acquired from purchase postscripts of smart TV in the Internet shopping malls. This method costs less than the questionnaire survey to detect emotion.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.51-57
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• 2015

In this paper, we tried to broaden a width of practical use field for applications through combining to existing contents after constructing various contents for companion animals. For this, we designed and developed our new companion animal management system(PET-IN) by adding various contents such as information management, schedule management, health management, QR code, SNS, shopping, map service for companion animals to smartphone applications. By PET-IN accessibility and satisfactory level tests, we found out that new synergy effect have appeared through combining each contents, and connectivity is increased. So, practical use field is broaden. These tests show us that comprehensive content composition is necessary for companion animal applications, and this study can be used as important data when new companion animal application contents are constructed in the future.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.597-603
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• 2022

With the continuation of the pandemic environment, digital transformation is being applied in various fields of the fashion industry. Augmented reality technology is a form of overlapping virtual images on the real world, and as online shopping expands in non-face-to-face environments, the use of augmented reality technology in fashion and beauty fields is affecting consumer satisfaction and sales growth. In this study, the characteristics of augmented reality contents used in the fashion industry following digital transformation were extended to the fields of clothing, accessories, virtual fashion stores, and AR fashion shows to analyze the case characteristics of augmented reality. Augmented reality technology in the fashion industry focuses on promoting clothing and accessory products through SNS or homepage through marketing activities. It is raising positive values such as raising awareness. The range of types of augmented reality used in the future digital fashion environment will continue to expand, and by deriving the usage characteristics of augmented reality technology, it is intended to contribute to presenting a future vision of the fashion industry.

• Journal of the Korea Society of Computer and Information
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• v.27 no.9
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• pp.59-68
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• 2022

A recommender system covers users, searches the items or services which users will like, and let users purchase them. Because recommendations from a recommender system are predictions of users' preferences for the items which they do not purchase yet, it is rarely possible to be drawn a perfect answer. An evaluation has been conducted to determine whether a prediction is right or not. However, it can be lower user's satisfaction if a recommender system focuses on only the preferences, that is caused by a 'filter bubble effect'. The filter bubble effect is an algorithmic bias that skews or limits the information an individual user sees on the recommended list. It is the reason why multiple metrics are required to evaluate recommender systems, and a diversity metrics is mainly used for it. In this paper, we compare three different methods for enhancing diversity for personalized recommendation - bin packing, weighted random choice, greedy re-ranking - with a practical e-commerce data acquired from a fashion shopping mall. Besides, we present the difference between experimental results and F1 scores.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.4
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• pp.195-209
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• 2021

According to the 2019-2020 social media usage survey conducted by the Seoul e-commerce center, 5 out of 10 consumers have experienced shopping through social media. The cost of traditional advertising media has been reduced and advertising spending on social media has risen by 74%, indicating that social media is becoming a more important marketing element. While the number of users of social media has increased and corporate marketing activities have increased accordingly, research has been conducted in various aspects of marketing such as user motivation for social media, satisfaction, and purchase intention. There was no subdivided study on the differences in the social media usage frequency of consumers in actual purchasing behavior. This study attempted to identify differences in consumer characteristics by cluster in the agrifood purchase situation by grouping them by type according to the frequency of use of social media for consumers who purchase agri-food online. Product involvement, product need, and online purchase channel Consumer characteristics such as demographic distribution, perceived risk, and eating and lifestyle in each cluster were checked for the three agrifood purchase situations including choice, and types for each cluster were presented. To this end, questionnaire data on the frequency of social media use and online agrifood purchase behavior were collected from 245 consumers, and the validity of the measurement variables was secured through factor analysis and reliability analysis. As a result of cluster analysis according to the frequency of social media use, it was divided into three clusters. The first cluster was a group that mainly used open social media, and the second cluster was a group that used both open and closed social media and online shopping malls; The third cluster was a group with low online media usage overall, and the characteristics of each cluster appeared. Through regression analysis, the effect on product involvement, product need, and purchase channel selection when purchasing agri-food online through each of the three clusters was confirmed through regression analysis. As a result of the regression analysis, the characteristic of cluster 1 in the situation of purchasing agri-food online is a male in his 30s living in a rural area who has no reluctance to purchase agri-food on social media or online shopping malls. The characteristics of cluster 2 are mainly consumers who are interested in purchasing health food, and the consumer characteristics are represented. In the case of cluster 3, when purchasing products online, they purchase after considering quality and price a lot, and the consumer characteristics are represented as people who are more confident in purchasing offline than online. Through this study, it is judged that by identifying the differences in consumer characteristics that appear in the agri-food purchase situation according to the frequency of social media use, it can be helpful in strategic judgments in marketing practice on social media customer targeting and customer segmentation.

• Journal of the Korean Society of Food Science and Nutrition
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• v.42 no.4
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• pp.644-649
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• 2013

This study was conducted to determine the intake and satisfaction levels of Busan local foods in Japanese tourists visiting Busan. The degree of satisfaction with Busan foods and services in restaurants was evaluated. What these tourists wanted to eat after touring Busan was also determined. The subjects consisted of 100 Japanese tourists visiting Busan. Women (including housewives), highly educated people, and people who visited more than four times were predominant in number among the Japanese tourists. Busan local foods eaten during touring were: Dongrae Pajeon (29%), Sengsunhoe (21%), Daejikukbap (10%) and Haemultang (10%). Tourists wanted to taste local foods and answered that eating local foods during the tour was important. A variety of menu items earned a high score of 3.8 (from a highest possible score of 5.0) and various dessert items received a low score of 2.7 for satisfaction with Busan foods. In general, the satisfaction level for Busan foods was low. Tourists responded that they wanted to eat Bulgogi, Pajeon, Bibimbap, Sengsunhoe, and Kimchi jjigae in that order if they revisit Busan, indicating their preference for general Korean foods rather than Busan local foods. From all of the activities included in touring Busan, foods received the highest points (51%) in terms of attraction. As fifty four percent of subjects answered that they wanted to revisit Busan. Busan city needs to prepare tourist restaurants for Bulgogi, Bibimbap, Pajeon, and seafoods (including Sengsunhoe). They must also improve Busan local foods and restaurant services in order to attract and satisfy the Japanese tourists industry.

• Journal of Nutrition and Health
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• v.56 no.3
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• pp.315-329
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• 2023

Purpose: This study examined the meal-kit consumption practices of adults in their 20s and 30s and analyzed the properties that should be given priority for improvement among the selection attributes to improve the quality of meal-kits. Methods: Statistical analyses were conducted using the SPSS program (ver. 28.0) for χ²-test, t-test, one-way analysis of variance, Duncan's multiple range test, factor analysis, and Importance-Satisfaction Analysis (ISA). Results: Of the 249 subjects surveyed, 85.5% had some experience of purchasing meal-kits, with significantly more females than males (p < 0.01), significantly more married people than single people (p < 0.05), significantly more employed people than unemployed people (p < 0.05). Meal-kits were purchased most frequently for meals (60.6%), from discount stores or supermarkets (44.6%), and priced between 10,000 won and 20,000 won per person (46.9%). The overall satisfaction with meal-kits was 4.1 out of 5.0 points. The frequency of purchases was Korean soup dishes (69.5%), Korean main dishes (47.4%), and Korean street snacks (46.9%). Factor analysis of the meal-kit selection attributes revealed, 4 factors: 'quality of food,' 'packaging and diversity,' 'quality of meal-kit,' and 'convenience and price.' Compared to single-person households, multi-person households placed significantly higher importance on the 'quality of food,' 'packaging and diversity,' and 'quality of meal-kit.' The factor, 'packaging and diversity' were significantly higher in the importance evaluation scores for females (p < 0.01), married people (p < 0.05), and people in their 30s (p < 0.05) among meal-kit consumers. According to the ISA results, a critical aspect that meal-kit manufacturers or sellers should strengthen is 'price.' Conclusion: Meal-kit products will need to be developed for various purposes that offer high value for money that can satisfy the consumers' needs to improve the satisfaction of meal-kit consumers.

• Information Systems Review
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• v.22 no.2
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• pp.137-166
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• 2020

While South Koreans overseas travelling rate has been increased every year, domestic travelling rate has been at a standstill for several years. The purpose of this study is to analyze domestic traveling styles of Koreans according to their generations in order to provide generation-specific traveling services. For this purpose, we categorized the survey respondents into four different generations, which are Millennium (age 19~34), X generation (35~54), Baby Boomer (55~64) and senior by following the criterions of the Korea National Tourism Organization. After then, we analyze factors related to travel preparation process, the actual traveling activities and satisfaction after the travel. In this study, 16,713 data collected by the Ministry of Culture, Sports and Tourism are used. The results of this study show that Korean people tends to acquire domestic traveling information from their own or acquaintances past experiences. Also, they do not prefer the organized trip for domestic travels, thus do not buy package products a lot. In addition, natural scenery, rich in cultural heritage, and convenient accommodation are the most important determinant factors affecting the overall travel satisfaction of level for all generations. The traveling characteristics for each generation are as follows. Millennium get traveling information from the internet a lot, and more specifically, they refer portal sites and social network services (SNS) in many cases. Also, they tend to travel in summer peak season to popular destinations and pursues active traveling experiences. Generation X has similar traveling patterns with Millennium, however they major transportation method is using their own car. Also, transportation convenience and satisfactory leisure activity are important factors affecting the overall satisfaction level to Generation X. On the other hand, Baby boomer generation has a greater emphasis on appreciation of nature, visiting famous restaurants, and relaxation, rather than actively participating experiencing programs. They travel evenly in summer and spring/fall season to many different areas instead of focusing on popular tourist spots. In addition, shopping and eating delicious food are the important factors affecting the overall satisfaction level for them. Lastly, Senior generation has similar characteristics with Baby boomer in many ways, however, they travel a lot on the same day using public transportations or car rental service. They prefer spring and autumn trips rather than summer peak season, and tend to buy packaged travel products a lot compared with other generations. If these different traveling characteristics of each generation are considered for organizing and customizing tourism services, it is expected that domestic tourism satisfaction level will be ultimately increased.

• Journal of Intelligence and Information Systems
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• v.26 no.2
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• pp.27-42
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• 2020

Traditional companies with offline stores were unable to secure large display space due to the problems of cost. This limitation inevitably allowed limited kinds of products to be displayed on the shelves, which resulted in consumers being deprived of the opportunity to experience various items. Taking advantage of the virtual space called the Internet, online shopping goes beyond the limits of limitations in physical space of offline shopping and is now able to display numerous products on web pages that can satisfy consumers with a variety of needs. Paradoxically, however, this can also cause consumers to experience the difficulty of comparing and evaluating too many alternatives in their purchase decision-making process. As an effort to address this side effect, various kinds of consumer's purchase decision support systems have been studied, such as keyword-based item search service and recommender systems. These systems can reduce search time for items, prevent consumer from leaving while browsing, and contribute to the seller's increased sales. Among those systems, recommender systems based on association rule mining techniques can effectively detect interrelated products from transaction data such as orders. The association between products obtained by statistical analysis provides clues to predicting how interested consumers will be in another product. However, since its algorithm is based on the number of transactions, products not sold enough so far in the early days of launch may not be included in the list of recommendations even though they are highly likely to be sold. Such missing items may not have sufficient opportunities to be exposed to consumers to record sufficient sales, and then fall into a vicious cycle of a vicious cycle of declining sales and omission in the recommendation list. This situation is an inevitable outcome in situations in which recommendations are made based on past transaction histories, rather than on determining potential future sales possibilities. This study started with the idea that reflecting the means by which this potential possibility can be identified indirectly would help to select highly recommended products. In the light of the fact that the attributes of a product affect the consumer's purchasing decisions, this study was conducted to reflect them in the recommender systems. In other words, consumers who visit a product page have shown interest in the attributes of the product and would be also interested in other products with the same attributes. On such assumption, based on these attributes, the recommender system can select recommended products that can show a higher acceptance rate. Given that a category is one of the main attributes of a product, it can be a good indicator of not only direct associations between two items but also potential associations that have yet to be revealed. Based on this idea, the study devised a recommender system that reflects not only associations between products but also categories. Through regression analysis, two kinds of associations were combined to form a model that could predict the hit rate of recommendation. To evaluate the performance of the proposed model, another regression model was also developed based only on associations between products. Comparative experiments were designed to be similar to the environment in which products are actually recommended in online shopping malls. First, the association rules for all possible combinations of antecedent and consequent items were generated from the order data. Then, hit rates for each of the associated rules were predicted from the support and confidence that are calculated by each of the models. The comparative experiments using order data collected from an online shopping mall show that the recommendation accuracy can be improved by further reflecting not only the association between products but also categories in the recommendation of related products. The proposed model showed a 2 to 3 percent improvement in hit rates compared to the existing model. From a practical point of view, it is expected to have a positive effect on improving consumers' purchasing satisfaction and increasing sellers' sales.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.6
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• pp.155-165
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• 2015

The objective of this study is to verify the structural correlations among trust, satisfaction, commitment, relation-continuing intention for internet fashion shopping mall. The statistical significance of questionnaire survey data for 360 customers was verified by using SPSS 18.0 and AMOS 18.0 statistical programs with significance levels of the ${\alpha}=0.05$. First of all, Cronbach's ${\alpha}$ was also assessed to verify the reliability of the measuring tool, and the fitness of the model were also verified to investigate the fitness of this research model. Finally, structural equation model analysis was performed to verify the structural correlations among the structural correlations among trust, satisfaction, commitment, relation-continuing intention for internet fashion shopping mall. On the basis of the empirical analysis, the following key results were drawn. First, trust for internet fashion shopping mall has the positively significant effects on satisfaction. Second, trust for internet fashion shopping mall has the positively significant effects on commitment. Third, trust for internet fashion shopping mall has the positively significant effects on relation-continuing intention. Fourth, satisfaction for internet fashion shopping mall has the positively significant effects on relation-continuing intention. Fifth, commitment for internet fashion shopping mall has the positively significant effects on relation-continuing intention. Sixth, the path of trust${\rightarrow}$satisfaction${\rightarrow}$relation-continuing intention for internet fashion shopping mall has the significant indirect effects, therefore the mediation effect of satisfaction was significant. Seventh, the path of trust${\rightarrow}$commitment${\rightarrow}$relation-continuing intention for internet fashion shopping mall has the significant indirect effects, therefore the mediation effect of commitment was significant.