• The Journal of the Korea Contents Association
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• v.19 no.10
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• pp.157-164
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• 2019

This paper investigates applicable methods of using machine learning(ML) in design process that is currently at infant stage and discuss how designers can use machine learning in UX design process. This research is differentiated from design method for machine learning-based products or services. For this purpose, this paper conducted literature reviews and case investigation and discussed three categories of design method of combination with such as 1) UX design centered ML, 2) ML system centered UX, and 3) UX-ML matchmaking. With this investigation, the workshop was conducted with specifically applicable methods of 2) and 3) for designers. Throughout the workshop, this paper analyzed each method' process with pros and cons in details. Throughout the process, this paper suggests precise methods of applying ML into UX design process.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.309-321
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• 2022

As the spread of COVID19 has compelled activities in various fields to transform to adapt to the non-face-to-face environment, various activities have either already been transitioned into non-face-to-face methods or been searching for alternative methods to carry out activities in a non-face-to-face manner. However, there are apparent limits in handling this transition with the pre-existing digital technology. Ironically, said limitations are more apparent in the UX design field that has thus far emphasized resolutions based on digital technology. The reason for this stems from the nature of UX design which strongly emphasizes the importance of collaboration. Especially, in the field of UX design, problems are expected to surface under areas of communication and collaboration in workshops, which are productive means of collecting the ideas of interested parties and coming up with other new ideas. Based on the aforementioned rise of necessity, this study aims to assess the characteristics of workshops in the field of UX design and suggest an effective method of transitioning UX workshops into a non-face-to-face environment. Along the line of this process, this study has created a standard process in regards to design workshops with active creation, suggestion, and acceptance of ideas, among the various types of workshops defined by the Nielsen Norman Group. This study also developed a framework consisting of non-face-to-face workshops by combining with the standard process the methodologies of workshop activation and non-face-to-face services meant for communication and designing activities, and confirmed the adaptability and the effectiveness of said transition against various types of workshops. Application of the results of this study is expected to effectively lead the transition into the non-face-to-face environment and improve the collaborative efforts of the interested parties via workshops.

• Design Convergence Study
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• v.16 no.4
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• pp.1-16
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• 2017

As the local manufacturing industry has entered a phase of stagnation, service and product design based on user experience has been highlighted as an alternative for the innovation. However, SMEs(Small and Medium-sized Enterprises) are still struggling to overcome the current crisis. One of the reasons is that SMEs do not have enough contact points with the validated UX firms and experts. Thus, SMEs has a high barrier to invest in new opportunity area, user experience. In this study, we aim to figure out UX experts' competence to perform the UX method to solve the UX problems based on the KSA framework(Knowledge, Skill, Attitude). Based on the literature review and expert workshop, we grouped the UX method according to the similarity of the competence required to conduct the method. With cluster analysis, 5 different groups of UX method were defined based on the competence, Panoramic Analysis, Meticulous Observation and Analysis, Intuitive Interpretation, Agile Visualization, and Logical Inspection. The results would be applied to compose a portfolio of UX experts and to implement a mechanism that could recommend the professional experts to the company.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.777-786
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• 2023

Generative AI systems are expected to be more widely utilized. However, relatively little attention has been paid to understanding how users perceive and accept generative AI results. To identify strategies for increasing the future use of generative AI and prepare for potential issues, we organized design workshop for the general user group and the designer group. They created artwork utilizing Novel AI and semi-structured interview was followed to evaluate their attitudes toward generative AI and its copyright. Results indicate that the general public views generative AI positively, while the design-related group views it quite negatively. The participants expressed concerns as to the misuse the system, specifically related to copyright issues. People who are likely to utilize generative AI outcomes have insisted more strongly that copyrights should be their own. Those working in the design field highly evaluated the possibility of using generative AI in their work. Copyright perceptions were not significantly influenced by users' satisfaction or their level of involvement in the creation process. We discuss design implications for interfaces using generative AI based on the findings.