Requirement analysis of remote conference system based on qualitative and quantitative analysis combination

Abstract

Remote conference systems play a crucial role in modern society. In order to design a high-quality system that meets user requirements, accurate analysis and selection of user needs to derive a functional list for the system is particularly important. This study is based on the KANO model and the Better-Worse index model, utilizing a combination of qualitative and quantitative analysis methods. By collecting and analyzing user needs, the aim is to gain a deep understanding of the true requirements for remote conference systems and identify corresponding features to guide system design and development. The contribution of this study lies in providing a systematic approach for conducting requirement analysis of remote conference systems.