Analysis of the relation between smartphone usage changes during the COVID-19 pandemic and usage preferences on apps

• URL: http://arxiv.org/abs/2110.01331v2
• Date: Tue, 5 Oct 2021 02:48:27 GMT
• Title: Analysis of the relation between smartphone usage changes during the COVID-19 pandemic and usage preferences on apps
• Authors: Yuxuan Yang and Maiko Shigeno
• Abstract summary: We observe and analyze the impact of the pandemic on people's lives using changes in smartphone application usage. It helps to predict changes in smartphone activity during future pandemics or when other restrictive measures are implemented.
• Score: 0.7832189413179361
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Since the World Health Organization announced the COVID-19 pandemic in March 2020, curbing the spread of the virus has become an international priority. It has greatly affected people's lifestyles. In this article, we observe and analyze the impact of the pandemic on people's lives using changes in smartphone application usage. First, through observing the daily usage change trends of all users during the pandemic, we can understand and analyze the effects of restrictive measures and policies during the pandemic on people's lives. In addition, it is also helpful for the government and health departments to take more appropriate restrictive measures in the case of future pandemics. Second, we defined the usage change features and found 9 different usage change patterns during the pandemic according to clusters of users and show the diversity of daily usage changes. It helps to understand and analyze the different impacts of the pandemic and restrictive measures on different types of people in more detail. Finally, according to prediction models, we discover the main related factors of each usage change type from user preferences and demographic information. It helps to predict changes in smartphone activity during future pandemics or when other restrictive measures are implemented, which may become a new indicator to judge and manage the risks of measures or events.

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