• Annual Conference of KIPS
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• 2023.05a
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• pp.565-566
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• 2023

본 논문은 AI 기술을 활용하여 웹 디자인 및 개발 과정에서 생산성과 비용 측면에서 발생하는 문제점을 해결하기 위한 솔루션을 제안하고 있다. ChatGPT와 같은 대규모 언어 모델을 기반으로 사용자가 원하는 웹사이트 유형과 데이터를 입력하면, AI가 적절한 웹 템플릿을 제시하고, 해당 템플릿을 기반으로 동적인 웹사이트를 자동으로 제작하는 방식으로 작동한다. 이를 통해 개발자는 웹사이트 디자인 및 레이아웃 개발에 소요되는 시간과 비용을 절감할 수 있다. 이러한 방식은 웹사이트를 더 사용자 친화적이고 참여도 높은 것으로 만들어, 고객 유치와 이타적 상호작용을 유도하며, 회사나 조직의 성공에 기여할 수 있다.

• The Journal of the Korea Contents Association
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• v.15 no.10
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• pp.92-104
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• 2015

Many publishing companies go to storytelling marketing through facebook in these days. Because storytelling marketing through facebook is thought for publishing company as useful marketing method in accordance with the increase of social media user. Thus, this study classified storytelling marketing type by episode, experience, anniversary, information and also analyzed the difference of cognitive reaction, emotional reaction and variables which effect to purchase intention according to each storytelling marketing type. As the results, anniversary type and information type got more positive reaction from responses rather than episode type and experience type with respect to likability, reliability, informativeness, engagement. Also engagement, likability, informativeness are revealed as major variables which effect to purchase intention of each storytelling type. Thus, storytelling marketing of publishing company through facebook need to focus on anniversary type and information type. And it is important to combine naturally the information regarding to book that publishing company want to sell with the fun, pleasure factors that story can give.

• International journal of advanced smart convergence
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• v.13 no.3
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• pp.287-299
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• 2024

Xiaohongshu, a community-centric social media platform, has pioneered a unique e-commerce model known as 'buyer commerce,' leveraging user-generated content (UGC). Distinctively, Xiaohongshu Live Commerce focuses on fostering deep user relationships and providing superior product and information services, crucial for sustained consumer engagement. This study investigates consumer behavior in purchasing health functional foods via Xiaohongshu Live Commerce, aiming to understand the determinants of continuous usage intention. A novel theoretical framework was devised by integrating the Expectation Confirmation Model (ECM) and the Task-Technology Fit (TTF) model. The research model scrutinizes the impact of Xiaohongshu Live Commerce characteristics, such as perceived usefulness and perceived online intimacy, on task-technology fit. Additionally, it examines the moderating role of perceived risk specific to health functional foods and the influence of expectation confirmation on perceived usefulness, online intimacy, and task-technology fit, alongside their effects on satisfaction and continuous usage intention. The findings reveal that expectation confirmation positively influences perceived usefulness, online intimacy, and task-technology fit. Perceived usefulness significantly enhances task-technology fit, while perceived online intimacy and risk do not significantly affect task-technology fit. Moreover, perceived usefulness and intimacy positively impact consumer satisfaction and continuous usage intention, with task-technology fit playing a pivotal role. Perceived risk moderates the relationship between perceived usefulness and task-technology fit. These insights suggest that companies can augment consumer satisfaction and continuous usage intentions by enhancing the perceived usefulness of technology, effectively managing perceived risks, and continually improving user experience

• Journal of the Society of Naval Architects of Korea
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• v.47 no.4
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• pp.628-645
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• 2010

To perform the engagement level simulation between the underwater vehicle model and the surface model those are constituted with various systems/ sub-systems, we implemented four different federates as a federation according to the IEEE 1516 HLA (High Level Architecture) protocol that is the international standard in the distributed simulation. Those are CFCS (Command and Fire Control System) federate, motion federate, external entities (torpedos, countermeasure and surfaceship) federate, and visualization federate that interacts with OSG (Open Scene Graph)-based visualization rendering module. In this paper, we present the detailed method about the model constitution for discrete event simulation in the distributed environment. For the sake of this purpose, we introduce the DEVS (Discrete Event System Specification)-HLA-based modeling method of the CFCS federate that reflects not only the interations between models, but also commands from user and tactics manager that is separated from the model. The CFCS federate makes decisions in various missions such as the normal diving, the barrier misision, the target motion analysis, the torpedo launch, and the torpedo evasion. In the perspective of DEVS modeling, the CFCS federate is the coupled model that has the tactical data process model, command model and fire control model as an atomic model. The message passing and time synchronization with other three federates are settled by the $m\ddot{a}k$ RTI (Runtime Infrastructure) that supports IEEE 1516. In this paper, we provides the detailed modeling method of the complicated model that has hierarchical relationship such as the CFCS system in the submarine and that satisfies both of DEVS modeling method for the discrete event simulation and HLA modeling method for the distributed simulation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.228-234
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• 2019

This study was conducted to evaluate the usability of serious-game apps for robots that are being developed for hospitals to add familiarity to hospital life for hospitalized patients. We conducted a usability test of 10 experts and 12 elementary school students with inpatient experience. The usability evaluation of the developed apps was based on the professional (MARS) evaluation tool and the user (uMARS) evaluation tool. The results of the usability test of the serious game robot app were $3.67{\pm}0.342$ for professionals and $3.68{\pm}0.592$ for children. The expert group obtained the highest score in the aesthetics category, and the user group obtained the highest score in the functionality category. In the subjective comments, the experts pointed out the game layout and the consistency of the style. According to the children, the methods were easy to learn, and the screen movement was mainly described. Both groups received low ratings in terms of engagement through participation. This study will provide useful reference material when the functional game app is actually installed in the robot and the usability test is conducted again after the results obtained in this study are considered.

• Journal of Digital Convergence
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• v.19 no.1
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• pp.315-325
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• 2021

The value and importance of Gamification has intensified as the way Gamification is applied to social networking applications has added to users' interest and involvement to the product. Gamification entails the adoption of gaming techniques and modes of thinking in non-gaming domains to elicit user engagement. To this end, the paper draws on Gamification's analytical model, Octalysis, with the aim of identifying user loyalty of the three major Chinese social networking applications and extracting their characteristics. In this regard, the first task in the advancement of the study is to establish an understanding of the components and characteristics of Gamification within the context of available examples. Next, a questionnaire survey covering China's three dominant social applications, WeChat, QQ, and Xiaohongshu, is administered and their user loyalty is examined through Octalysis's eight analytical frameworks. By virtue of analysis, the results demonstrate that the three elements of game mechanics, Point, Badge, and Leadboard, which are external to the game, fail to sustain the user loyalty, but are merely a means to an end. Only by including a combination of social application features, contents and user needs can Gamification considerations be maximized to ensure that users are subjectively engaged with the product.

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.173-186
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• 2022

The purpose of this study is to investigate the influence of gamification strategies on improving participation and motivation of shared electric scooter users. To this end, this study derived the user type through the first research question of how the shared electric scooter usage behavior and pulse are, and derived user tasks and scenarios. The second research question, a shared electric kickboard app with gamification, was tested by users to see if it helps increase user participation and form motivation. As a result of the analysis, it was found that users were induced to be considerate of other users by using a combination of the motivational, relational, and self-expression strategies of gamification. Second, it was found that the use of motivation, achievement and reward, and reward visualization strategy elements promotes user's voluntary behavior. Third, through relationship, achievement, and reward strategies, users participated to create a positive culture of shared electric scooters, drawing immediate feedback, indicating that convenience has increased. In conclusion, it was found that the user helped to play a positive role in voluntary participation and motivation through the use of the shared electric kickboard service with gamification.

• Journal of the Korea Society of Computer and Information
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• v.29 no.3
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• pp.21-41
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• 2024

This study explores the relationship between users' attachment styles and their interactions with ChatGPT (Chat Generative Pre-trained Transformer), an advanced language model developed by OpenAI. As artificial intelligence (AI) becomes increasingly integrated into everyday life, it is essential to understand how individuals with different attachment styles engage with AI chatbots in order to build a better user experience that meets specific user needs and interacts with users in the most ideal way. Grounded in attachment theory from psychology, we are exploring the influence of attachment style on users' interaction with ChatGPT, bridging a significant gap in understanding human-AI interaction. Contrary to expectations, attachment styles did not have a significant impact on ChatGPT usage or reasons for engagement. Regardless of their attachment styles, hesitated to fully trust ChatGPT with critical information, emphasizing the need to address trust issues in AI systems. Additionally, this study uncovers complex patterns of attachment styles, demonstrating their influence on interaction patterns between users and ChatGPT. By focusing on the distinctive dynamics between users and ChatGPT, our aim is to uncover how attachment styles influence these interactions, guiding the development of AI chatbots for personalized user experiences. The introduction of the Perceived Partner Responsiveness Scale serves as a valuable tool to evaluate users' perceptions of ChatGPT's role, shedding light on the anthropomorphism of AI. This study contributes to the wider discussion on human-AI relationships, emphasizing the significance of incorporating emotional intelligence into AI systems for a user-centered future.

• Journal of the Korea Society of Computer and Information
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• v.29 no.3
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• pp.99-106
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• 2024

In this paper, we design and implement the HealthSchedule app, which records exercise data based on the GPS sensor embedded in smartphones. This app utilizes the smartphone's GPS sensor to collect real-time location information of the user and displays the movement path to the designated destination. It records the user's actual path using latitude and longitude coordinates. Users register exercise activities and destination points when scheduling, and initiate the exercise. When measuring the current location, a lime green departure marker is generated, and the movement path is displayed in blue, with the destination marker and a surrounding 25-meter radius circle shown in sky blue. Using the coordinates of the starting point or the previous location and the current GPS sensor-transmitted location coordinates, it measures the distance traveled, time taken, and calculates the speed. Furthermore, it accumulates measurement data to provide information on the total distance traveled, movement path, and overall average speed. Even when reaching the destination during exercise, the movement path continues to accumulate until the completion button is clicked. The completion button is activated when the user moves into the sky blue circular area with a radius of 25 meters, centered around the initially set destination. This means that the user must reach the designated destination, and if they wish to continue exercising without clicking the completion button, they can do so. Depending on the selected exercise type, the app displays the calories burned, aiming to increase user engagement and a sense of accomplishment.

• Journal of the Korea Society of Computer and Information
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• v.19 no.4
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• pp.63-69
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• 2014

Third Person Action Game is a genre receiving continuous interest from many game enthusiasts. The most distinctive feature about third person action games is that the user can actually see the character as well as the various actions, which in turn increases user engagement. Many games are developed using game engines. However, this study designs a third person action game using only DirectX library instead of the specialized techniques in game engines. By doing so, the game development costs will be minimalized. The study also uses several basic algorithms in order to process the various events and to make the animation effects more efficiently managed in the graphic device. The performance superiority is demonstrated by the results of the study.