• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.9
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• pp.3680-3692
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• 2020

The purpose of this study is to orient users' touchpoints in co-design experience, to identify their need via visualized experience map, to recommend valid design information in online e-customization services. A user-centered co-design experience map (UCEM) is adopted to analyze the relation between users' desire and time spent, so as to evaluate the online co-design experiences. Based on evolutionary algorithm and fuzzy theory, data of this study is collected from 30 participants. The data was analyzed by descriptive analysis in SPSS, and frequency query and word cloud in NVivo. Employing design category and evaluating users' time spent, the findings are that (a) vamp color matching is consistent with interview data; (b) supported by qualitative feedback, the virtual experience map played an important role in the co-design process and the visualized interaction process; and (c) participants prefer to get more information and professional help on color matching and exterior design. Based on the findings in design category, future work should be focused on developing a better understanding of design resource recommendations and multi-stakeholder communication.

• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.59-63
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• 2006

This study aims to emphasize the need for the in-depth experience and understanding of desire as to the User Interface Design through the introduction of the methodology which was developed by mixing quantitative utilization analysis and qualitative utilization analysis and to propose the active use of that. The methodology of this study is significant in that it tries to identify the latent experience and desire of user and reflect them in the User Interface Design through the repetition of 3 staged circular process and exploratory process related to the investigation category of people, prototype and product.

• Journal of the Korea Society of Computer and Information
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• v.21 no.3
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• pp.97-104
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• 2016

In this paper, we propose spatial information based simulator for user experience optimization and minimize real space complexity. We focus on developing simulator how to design virtual space model and to implement virtual character using real space data. Especially, we use expanded events-driven inference model for SVM based on machine learning. Our simulator is capable of feature selection by k-fold cross validation method for optimization of data learning. This strategy efficiently throughput of executing inference of user behavior feature by virtual space model. Thus, we aim to develop the user experience optimization system for people to facilitate mapping as the first step toward to daily life data inference. Methodologically, we focus on user behavior and space modeling for implement virtual space.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.4
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• pp.53-71
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• 2023

This study explores the relationship between various user factors and the level of trust in ChatGPT, a sophisticated language model exhibiting human-like capabilities. Specifically, we considered demographic characteristics such as age, education, gender, and major, along with factors related to previous AI experience, including duration, frequency, proficiency, perception, and familiarity. Through a survey of 140 participants, comprising 71 females and 69 males, we collected and analyzed the data to see how these user factors have a relationship with trust in ChatGPT. Both descriptive and inferential statistical methods, encompassing multiple linear regression models, were employed in our analysis. Our findings reveal significant relationships between user factors such as gender, the perception of prior AI interactions, self-evaluated proficiency, and Trust in ChatGPT. This research not only enhances our understanding of trust in artificial intelligence but also offers valuable insights for AI developers and practitioners in the field.

• Journal of Digital Convergence
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• v.18 no.3
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• pp.317-323
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• 2020

This research is based on product development that improves user experience such as design and function by analyzing the usage behavior of elements experienced by generation Z as customers and users in the process leading to disposal of earphones even before purchase. The behavior of earphones in Generation Z was analyzed through in-depth interview and surveys of the customer experience and user experience of earphones. The results of the study were common or characteristic. They are user experience based on brand dependency, sharing experiences and seeking simplified design and convenience, which is related with the lifestyle of the generation Z. This study is expected to be a fundamental study of product research and marketing strategies that will take advantage of the characteristics of Generation Z, who will be the main player of the market in the future.

• Journal of Digital Contents Society
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• v.14 no.2
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• pp.135-142
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• 2013

In this study, I research about extensions and changes of user experience by using smartphone from the point of conceptual metaphor based on embodied cognition and the remediation characteristics. The result of this study is as follow; The first, container schema and path schema as center image schema of the conceptual metaphor are a proper theories to be mapped user experience by using smartphone because of including embodied schema structure by human physical experience. The second, user experience of smartphone in the point of remediation is remediated by smartphone. And physical space is rededicated and interacted to behavior space by the user experience. The third, the conceptual metaphor of smartphone UX activate container chema through implicit interaction and has transparent immediacy to ingenerate existence of media. The forth, path schema that is activated from explicit interaction makes users to experience hypermediacy. Conceptual metaphor and remediation in this study could be used to theoretical framework and to explain new user experience from using smartphone.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.283-287
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• 2021

The purpose of this study is to analyze personalized contents and previews of OTT service based on user experience and to suggest the improvements of the preview viewing experience. Current domestic OTT mobile applications were researched to find out how services are offering content. Plus, the 20s-30s were recruited to analyze user experience. An online survey and in-depth interview were conducted by using Stephen P. Anderson's Creating Pleasurable Interface Model. As a result, preview help users to select content but it doesn't suit their taste. Also, the preview is hard to watch however they want. Therefore, it can be inferred that the preview requires the function for improving efficiency, preference, and accessibility. This study is expected to be used as research material on user experience or preview experience of OTT content.

• Fashion & Textile Research Journal
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• v.25 no.5
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• pp.578-592
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• 2023

This study identified and evaluated by deriving and categorizing concepts related to the user experience of metaverse fashion shows using grounded theory, which is a qualitative research method. Based on experiential marketing theory, in-depth interviews were conducted for 14 days with 14 males and females in their 20s and 30s. The research results and contents are as follows: The causal condition was the purpose of using metaverse fashion shows, and the action/interaction strategy caused by such a case was found to be establishing a system for metaverse fashion shows and promoting a positive brand image. The results included content evaluation of satisfaction, normal, or dissatisfaction. The contextual condition was a change in the form of consumption that emphasized experience, while the interventional condition was psychological distance. Based on this, the core category was defined as "consumption patterns that emphasized the purpose of use and experience affects the metaverse fashion shows and psychological distance appeared as a user experience evaluation through the establishment of a system of metaverse fashion shows and the promotion of a positive brand image". User types were classified as active or passive. Active users have the autonomy to select content according to their individual preferences, and accordingly, their experience preference tends to change. In contrast, passive users' preference for the technical quality of content is relatively low, but they have a high concentration of content diversity and audio-visual interest elements.

• Journal of the Korea Convergence Society
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• v.8 no.12
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• pp.221-226
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• 2017

This study investigates the user experience about the camera application and the operation environment that share the photographed pictures with the SNS in a smartphone user environment which is a necessity of modern people. To do this, 10 task tasks were selected based on 3 aspects such as manipulation, editing, and sharing, and the task execution time was measured after tasks were performed on 8 persons, 4 persons in 20s. Experiments conducted mainly on Samsung Experience 8 and LG UX 6.0, which are representative user interfaces of Android mobile operating system, showed that there are differences in usability between the three interfaces for each interface. In the course of the experiment, all of the subjects mentioned ease of operation and various functions as advantages. However, the complexity of text-based interfaces has been difficult to use because of the variety of functions that can be set up. Future research will be needed to improve the usability of camera applications by user interface.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.459-464
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• 2020

This study is a study that analyzes the user experience of a virtual makeup application in the beauty industry where color or formulation testing is important. Recently, cases of beauty smart stores and beauty applications using AR and AI are increasing. However, since virtual makeup is different from testing a real product, it is necessary to derive needs through research from the user's side. In order to compare user preferences by using AR and AI cases, six factors based on the emotional interface model were analyzed through a questionnaire to identify items with statistically significant figures. As a result, the user felt comfortable with the virtual makeup function, but showed that it needs to be supplemented in terms of reliability. Since this study focused on the customer experience as a real user and identified the main experience factors and needs of virtual makeup through two types of comparison, it is hoped that this study will be useful as a prior study.