• Journal of the Korea Convergence Society
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• v.10 no.6
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• pp.139-146
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• 2019

In this study, we examined how consumers who experience HMD virtual reality advertising differ in their ad attitudes and memory effects according to Presence (cognitive presence, emotional presence, media presence) and engagement level. Particularly, in the case of memory effect, the information that the user memorizes through the advertising is divided into "Attribute-Related Memory (ARM)" and "Global-Related Memory (GRM)" Respectively. First, the attitudes toward HMD based virtual reality ads are positive regardless of the type of presence. Second, in the virtual reality advertising, if the level of engagement is low, ARM that memorizes the information of the product attribute is increased, whereas if the level of engagement is high, the GRM which is the memory of the attitude-based evaluation information about the product is increased appear. Third, if cognitive presence and media presence are low, then ARM is more memorable than GRM.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.4
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• pp.317-328
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• 2018

The purpose of this study is to examine the effect of the quality of performance on audience satisfaction, and to verify the mediating effect of service value and traditional image in this process. The subjects of this study included 211 male and female adults who experienced the Korean opera performance in Seoul, Korea in October. Collected data was used as a model of path coefficients obtained through analysis of covariance structure and hypothesis test. As a result of verification, program quality, physical environment quality, and quality of the stage performance perceived by the audience showed a statistically significant positive correlation with performance experience attributes. The path coefficient between performance attribute and service value, performance experience attribute and traditional image were also positively and statistically significant. Further, the path coefficient between performance experience and audience satisfaction showed a positive relationship. The service value and traditional image, service value and audience satisfaction, and the path coefficient between traditional image and audience satisfaction were statistically and positively significant. Finally, all hypotheses were adopted and study results confirmed the effect of service quality and experience attributes on audience satisfaction for the popularization, modernization and marketing strategy of the Korean opera. In this process, it is meaningful to verify the role and function of service value and traditional image.

• The Journal of the Korea Contents Association
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• v.12 no.9
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• pp.293-310
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• 2012

The purpose of this paper is to explain and identify how services offer-related characteristics of services providers such as service competence, reliability, and responsiveness have an effect on cognitive trust and customization characteristics of services providers has influences on affective trust. And it is to explain and identify how cognitive trust has an effects on affective trust and loyalty, and how affective trust has influence on loyalty in services setting such as apparel services of search attribute, hair services of experience attribute, and dental services of credence attribute. A survey study was conducted to collect the data with consumers who have experience purchase or search on services in apparel services, hair services, and dental services. Analysis of structural equation modeling with AMOS 18 and SPSS win 19.0 was performed to test the research hypothesis. The results of the study are as follows: First, responsiveness characteristics of service providers has an effect on cognitive trust, which in turn influences on affective trust. But there was on effect on customer loyalty by cognitive trust and affective trust in apparel service setting. Second, service competence characteristics and reliability characteristics of service providers have effect on cognitive trust, and customization characteristics of service providers has influences on affective trust, and then both of them, in turn, was effect on customer loyalty in hair service setting. Third, reliability characteristics of service providers has effects on cognitive trust and customization characteristics of service providers has influences on affective trust, and then cognitive trust has effects on customer loyalty, but there was no effects on affective trust by customer loyalty.

• Fashion & Textile Research Journal
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• v.17 no.1
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• pp.74-81
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• 2015

This study explored the degree of cognition, purchasing experience and attitudes towards SPA brand attributes. This study examined the differences in variables and demographic characteristics against appearance interest groups. A questionnaire survey collected data from November $1^{st}$ and $15^{th}$ 2012. The convenience sample was drawn from females between the ages of 20 and 39 who lived in the Daegu and Gyeongbuk regions of South Korea. A total of 255 responses were complete and usable questionnaires. Data were tested through factor analysis, t-test, and ${\chi}^2$ test using SPSS 21.0. The results show that there were significant group differences in the cognition and purchasing experience of SPA brands and the attitudes towards SPA brand attributes. The high appearance interest group was more aware of SPA brands and evaluated SPA brand attributes more positively and bought more SPA brand products than the low appearance interest group. The high appearance interest group showed that domestic brands were excellent in low price among brand attributes but foreign brands were relatively excellent in various design and store display. There was a significant difference in educational level between appearance interest groups; however, there were no significant differences in age, marital status, and income level group. This study contributes to basic information for the SPA brand buying behavior research field and apparel industry marketing strategy by analyzing the relationship among appearance interest, cognition, SPA brand purchasing experience and SPA brand attribute attitudes.

• Journal of the HCI Society of Korea
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• v.2 no.1
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• pp.13-24
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• 2007

For many years, human-computer interaction (HCI) practitioners have focused on usability in order to enhance the user experience, and companies have seen it as an area where they can gain advantages over their competitors. However, a focus on usability limits the potential of HCI research because it restricts the concept of user experience to just an implemented functionality of the information technology (IT). Therefore, it is necessary to expand the boundary of user experience research into a holistic dimension. We suggest that one of the most powerful ways to broadly understand user experience with an IT is to investigate the attributes of an IT and users' perceived values and to construct a user experience structure, a hierarchical structure between the attributes of an IT and users' perceived values. This study thus undertakes two research tasks: to develop a specific methodology, which is the visual probing, for constructing a user experience structure with the attributes of an IT and users' perceived values, and then to build a user experience structure practically by conducting a case study to a specific IT: mobile data service.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.2
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• pp.77-82
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• 2023

The Ministry of Agriculture, Food and Rural Affairs established the FarmMap, an digital map of agricultural land. In this study, using deep learning, we suggest the application of farm map reading to farmland such as paddy fields, fields, ginseng, fruit trees, facilities, and uncultivated land. The farm map is used as spatial information for planting status and drone operation by digitizing agricultural land in the real world using aerial and satellite images. A reading manual has been prepared and updated every year by demarcating the boundaries of agricultural land and reading the attributes. Human reading of agricultural land differs depending on reading ability and experience, and reading errors are difficult to verify in reality because of budget limitations. The farmmap has location information and class information of the corresponding object in the image of 5 types of farmland properties, so the suitable AI technique was tested with ResNet50, an instance segmentation model. The results of attribute reading of agricultural land using deep learning and attribute reading by humans were compared. If technology is developed by focusing on attribute reading that shows different results in the future, it is expected that it will play a big role in reducing attribute errors and improving the accuracy of digital map of agricultural land.

• Journal of the Korean Society of Food Culture
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• v.38 no.3
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• pp.154-162
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• 2023

This study investigated the awareness and consumption behavior of 118 vegetarians and omnivores toward plant-based dairy alternatives. The preference and choice attribute questionnaires were compared. Significant differences were obtained between the two groups when considering the purchase experience, preference, and selection attributes of plant-based dairy alternatives. Vegetarians had more experience purchasing plant-based dairy alternative products. In both groups, environmental and animal protection were the major factors that influenced the highest response rate for purchasing plant-based dairy alternatives. The preference score of vegetarians for plant-based dairy alternative products was high, indicating that vegetarianism had a significant effect on their preference for plant-based dairy alternative products. Analysis of selection attributes revealed that price, product weight, appearance, and manufacturer were considered important by vegetarians, whereas nutritional components and labeling, manufacturing environment, composition of ingredients, and taste and texture were considered more important by the omnivores. Results of this study can be used as basic data for the future development of the fast-growing industry producing plant-based dairy alternative products.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.06a
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• pp.22-25
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• 2003

It is usually difficult for a single user to have all the essential knowledge on various Rapid Prototyping processes and techniques. It is therefore necessary to capture knowledge and experience of users of expert level into a decision-support system which provides quicker and more interactive way to select proper RP process and/or machine. rather than reading reports on benchmarking studies and comparing tables and graphs. In this paper two algorithms are presented, which may be used in such a decision-support system. together with its applications. The one is an extended PRES(Project Evaluation and Selection) algorithm which applies weighting factors of each attribute. The other is a LCE(Linear Confidence Equation) algorithm which is proposed to apply user's input requirements as well as weighting factors.

• Science of Emotion and Sensibility
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• v.16 no.4
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• pp.567-578
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• 2013

The research is a correlational study to look for causes and factors relating to the design of written documents (professional reading materials) and identify those relationships that are useful for communication designers. The research specifically targeted the relationships between perception and reader's past experiences and appearance of the written documents. A preliminary survey, such as interviews, discussions, questionnaires and brainstorming sessions are conducted to establish the observable attributes related to perception which are reader's interests, importance of information and written documents complexity. Finally, the research used Structural Equation Model (SEM) to identify significant differences and analyze strong and weak correlations between these attributes. In general, the results of the study shows that the attribute appearances of a written documents with excellent visualizations for information display shows a strong correlation with interests while the attributes importance is weakly correlated with the complexity of the documents.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2003.05a
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• pp.474-483
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• 2003

A number of studies for corporate bond rating classification problems have demonstrated that artificial intelligence approaches such as Case-based reasoning (CBR) can be alternative methodologies to statistical techniques. CBR is a problem solving technique in that the case specific knowledge of past experience is utilized to find a most similar solution to the new problems. To build a successful CBR system to deal with human information processing, the representation of knowledge of each attribute is an important key factor We propose a hybrid approach of using fuzzy sets that describe the approximate phenomena of the real world because it handles inexact knowledge represented by common linguistic terms in a similar way as human reasoning compared to the other existing techniques. Integration of fuzzy sets with CBR is important to develop effective methods for dealing with vague and incomplete knowledge to statistical represent using membership value of fuzzy sets in CBR.