헬스케어 앱의 디지털 트윈 데이터 시각화 방안

This research delves into the design and implementation of digital twin-based data visualization aiming to have a substantial positive impact on users of mobile healthcare apps. As the interest in healthcare continues to grow, there has been a significant upsurge in the research and development endeavors undertaken by associated companies. One specific category of mobile healthcare apps, focusing on body shape management, has experienced a notable increase in usage. Nonetheless, users have highlighted various issues, including inadequate content derived from data and usability challenges, leading to diminished long-term engagement. At present, users of mobile healthcare apps confront a deficit in the amount of information provided compared to the effort required for data input. Moreover, feedback based on the entered data is frequently lacking, contributing to a suboptimal user experience. To tackle these challenges, this study explores the concept of digital twin technology, recognized as an effective method for data management. By investigating digital twin technology, the hypothesis posits that its application in mobile healthcare apps could enable the utilization of visual representations that model the human body. This not only has the potential to offer personalized feedback but also to facilitate real-time data analysis and predictive modeling of future body shapes, thereby providing users with a wealth of information. In testing this hypothesis, usability evaluations were conducted using two distinct approaches: traditional graph-based data visualization and a hybrid approach that incorporates both graph-based and human-like visualizations. User evaluations revealed that structured visualized data information should fall within an appropriate range, and the composition of data visualizations should be tailored to the specific healthcare app type, its intended use, and the content it delivers. The anticipated outcomes of this study are expected to be a valuable resource for enhancing the usability of mobile healthcare apps.