발간년도 : [2023]
| 논문정보 |
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| 논문명(한글) |
[Vol.18, No.5] Development of Chatbot-based Lifelog Data Collection System |
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| 논문투고자 |
Yunhee Son, Hyunchul Jang, Icktae Kim |
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| 논문내용 |
Due to the recent outbreak of COVID-19, lifelog data collection for non-face-to-face technology and services has become an important issue. Lifelog refers to personal data generated through human activities and behavior. Existing lifelog data collection systems had difficulties such as limited scope of data collection or high development costs and user effort for data collection. In this paper, we developed a lifelog data collection system using a chatbot. Telegram-based chatbot have a friendly interface and can collect data that cannot be collected by wearable devices through message-based question and answering. Continuous data collection is possible anytime, anywhere by sending messages to users through chatbot. Since the user's personal information is not used during this process, no security issues arise. Each function that makes up the system is modularized to ensure scalability, and the collected data goes through an analysis process to provide meaningful information to users. The collected data is stored in a NoSQL-based database, and a non-relational database without schema is suitable for constructing a lifelog data warehouse. In addition, it was applied to clinical research to collect lifelog of sleep activities, and various types of data were continuously collected over a period of 15 days or more. The majority of users responded for more than the required number of days, confirming that the lifelog data collection system through chatbots can be useful. The results of this paper are expected to be helpful in collecting lifelog data needed in various fields. |
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