공간 설계지원 및 시각화 웹 앱 분석과 지능형 기술 활용성 고찰

Abstract

(Background and Purpose) This study examines the space design-supportive platforms on top of a web/app-based environment that introduces and utilizes the latest so-called artificial intelligence (AI) assisted technologies and analyzes the application and expansion potential of such technologies in the field of architecture and space design. Due to the development of hardware and the spread of cloud computing, people are using various smart devices such as mobiles, tablets, desktop PCs, and platforms such as specific webs and apps that require high utilization beyond the device or computing environment; these adaptive web/apps are actually being activated. It has been expanding into areas that are easy to access, such as entertainment, as well as areas that require professionalism and productivity, so that not only experts but also ordinary people can easily access the area of space design and visualization by using various smart devices. Additionally, due to the coronavirus pandemic in recent years, interest in space design has increased due to social distancing and contact-free activities, and space design support tools have emerged more actively. Intelligent technology, a keyword that has been steadily mentioned in relation to the era of Industry 4.0, is promoted on these platforms, and the number of users of these platforms is increasing. (Method) In support of this technical environment, this study investigates and analyzes space design-supportive web/app-based tools that introduce and utilize intelligent technology, further evaluating and partially quantifying the functionality and utilization of intelligent technology. Therefore, this study selects and investigates 11 web/apps for space design-supportive tools and analyzes them according to the following three perspectives: 1) applicability of intelligent technology, 2) interoperability of platforms, and 3) ability to support the function of XR and visualization. This study aims to set the relevant analysis items and detailed analysis items to conduct a quantitative evaluation and to examine the platform evaluated above more closely through scoring. (Results) Thus, as a result of evaluating 11 types of spatial design-supportive platforms selected in this study according to 10 detailed items, it was confirmed that other than some platforms have not yet actually provided services based on high-level intelligent technology. Additionally, platforms that focus on visual parts, such as responsive UI design of web/app platforms or intuitive visualization areas, such as XR utilization, can be found to have significantly high growth potential. (Conclusions) The results of this study can be used to review the utilization and limitations of intelligent technology-based functions currently used in space design-supportive platforms, which can contribute to the development of various intelligent learning models and platforms that support easy and automated functions and services in space design.