빅데이터 기반 생성형 AI를 활용한 부동산 정보제공 시스템 UX 디자인 개발 연구 : 부동산 정보 제공 서비스 ‘오지라퍼’ 사례를 중심으로

This research was initiated by the rapid growth of the real estate market and the frequent occurrence of rental fraud cases. The need to solve the problem of real estate information imbalance is rapidly emerging as a major cause of the lack of reliable real estate information and the victimization of young people in their 20s and 30s who rely on brokers for information. The purpose of this study is to examine the effectiveness of user interface design and app services that can improve the transparency and reliability of real estate information through the development case of 'Ojirapper' app using big data and generative AI. Therefore, this paper developed a prototype of the app through a user-centered design that reflects systemic needs based on a mixed-method approach to develop an app that can be accessed most efficiently by users. In addition, the validity of the app was evaluated through a proof-of-concept(PoC) experiment, and quantitative data analysis was conducted on the actual transaction price, rental rate, and risk level provided to users. This allowed to evaluate user satisfaction and information reliability, and at the same time, derive improvements from qualitative data. As a result of the study, the Ojirapper app has taken a step forward in solving the problem of real estate information imbalance by providing customized information and intuitive visualization. In the PoC experiment, users were able to easily access information related to real estate transactions through an intuitive interface and AI analysis reports, and complaints about false listings and lack of information were reduced. In particular, the use of generative AI technology to provide personalized real estate recommendations based on user search patterns and real-time data analysis increased user satisfaction and helped them understand real estate information. To solve the problem of information imbalance in the real estate market, this study developed a real estate information service app with a user-friendly interface that combines big data and generative AI and examined its effectiveness. Through this, users can intuitively understand real estate information and provide practical data to prevent rental fraud, and furthermore, the company expects to gain substantial users through the commercialization of the app. The app service developed through this study was able to confirm its effectiveness in increasing the transparency and reliability of the real estate market by combining AI and data visualization technology, and is expected to increase the safety of real estate transactions and play a role in solving recurring social problems based on user needs and feedback in the future.