Well-being Data Origination Using MROCs with Variable Quest: A Case Analysis of Gloom during COVID-19 Pandemic

ABSTRACT

Technologies using artificial intelligence (AI) have been implemented as services to solve various social problems. However, the contributions of AI to people's mentality and unknown/ unobserved events have not been extensively discussed. In this study, we focus on people's mental changes caused by the COVID-19 pandemic and discuss the origin of data sources for well-being using marketing research online communities (MROCs) and variable quest (VQ). In the experiment, we selected 15 females aged between 20 and 40 who were interested in exploring how daily life has changed since the emergence of COVID-19 using MROCs. The analysis results by VQ revealed that the variable sets of the events differed with the situations, mental states, and attitudes, while not being featured in any of the MROC topics as keywords. The result suggests that ing the features of unobserved events as variable sets, can help us acquire information potentially contributing to unexplored data discovery for human well-being from texts not containing any information related to the data. © 2022 for this paper by its authors.